Category: Uncategorized

What you’ll find in this blog

• The top 5 Certinia PS Cloud Winter 2026 features to watch
• How Winter 26 improves project delivery, staffing and forecasting
• New automation and planning capabilities across Gantt and Work Planner
• Why smarter forecasting and resourcing can improve delivery confidence

The Certinia Winter 2026 release is packed with powerful enhancements designed to give Professional Services teams more control, better insight, and less manual effort across delivery, resourcing, time, and forecasting. 

Our amazing PSA Consultant Penny has done a deep dive into the Winter 26 release notes so you don’t have to – and these are her top 5 features that customers will feel the impact of straight away. 

Let’s jump in 👇 

1. Manage Project Tasks Directly in Gantt on the Project Record 

Project managers will love the huge upgrade to Gantt task management in Winter 26. 

You can now fully manage project tasks directly within Gantt on the Project record, making planning and adjustments far quicker and more intuitive. 

Why this matters: 

• Drag, drop, indent, and reorder one or multiple tasks directly in Gantt 

• Automatic WBS renumbering when tasks move 

• Edit key task fields inline, including lookups, picklists, checkboxes, and numeric fields 

• New Duration and Hours Remaining fields update dynamically 

• Undo and redo buttons make changes safer 

• Optional automatic project end‑date recalculation 

• Assign resources and synchronise milestones without leaving Gantt 

✅ Result: Faster planning, fewer clicks, and far less context‑switching for project managers. 

2. Auto‑Staffing Enhancements for Smarter, More Flexible Resourcing 

Winter 26 significantly improves auto‑staffing and resource request management, helping teams move from reactive staffing to proactive planning. 

Highlights include: 

• Ability to automatically match and hold resources using Auto‑Hold 

• New improvements to Staffing Preferences to define default behaviour for common request types 

• Reuse the same staffing preference across multiple resource requests 

• Greater control over skill matching by choosing whether to include aspirational or expired skills 

• A redesigned skills and certifications user experience 

✅ Result: Better matches, faster staffing decisions, and more consistent outcomes – especially at scale. 

3. Work Planner Upgrades: Mass Updates, Percent Allocation & Real‑Time Sync 

The Work Planner continues to evolve into a true command centre for resourcing – and Winter 26 delivers some of its biggest upgrades yet. 

What’s new: 

• Drag‑and‑drop mass updates for assignments and timelines 

• Percent Allocation as a scheduling strategy 

• Immediate recalculation of future scheduled hours (no waiting for batch jobs) 

• Direct actions from the Work Planner (assign, hold, unassign, unhold) – even without a full Salesforce licence 

• Automatic schedule synchronisation back to resource requests 

• New Average Bill Rate and dynamically calculated Projected Revenue 

✅ Result: Resource managers can act faster, trust the data they see, and keep plans aligned in real time. 

4. Smart Rescheduling: Data‑Driven Capacity Adjustments 

Smart Rescheduling takes a major step forward in Winter 26, helping project managers spot and fix effort misalignment earlier. 

Why it’s powerful: 

• Uses actual hours already recorded to calculate historical capacity run rate 

• Flags when future planned capacity doesn’t align with reality 

• Suggests updated future hours automatically 

• New Suggested Adjustments panel in the Work Planner with configurable variance time ranges 

• Apply adjustments provisionally before committing them 

✅ Result: More realistic plans, fewer late surprises, and better control over delivery margins. 

5. Services Forecast Variance Analysis for Clearer Financial Insight 

Forecasting gets a serious intelligence boost in Winter 26 with enhanced Services Forecasting and Variance Analysis. 

Key benefits: 

• New Details View in the PSA Services Forecast dashboard 

• Quickly explain forecast movements by account, opportunity, project, or manager 

• Drill into milestone‑level revenue, cost, and margin variances 

• Improved handling of closed periods for more accurate opportunity forecasts 

✅ Result: Finance and services leaders can finally see why forecasts are changing – not just that they are. 

Experience the Benefits of Certinia PS Cloud Winter 2026 

By upgrading to Winter 26, you can: 

• Plan and adjust projects faster with fully editable Gantt views 

• Staff smarter with enhanced auto‑staffing and preferences 

• Reduce manual effort through Work Planner mass actions 

• Improve delivery confidence with Smart Rescheduling 

• Gain clearer insight into forecast movements and margin risk 

Upgrading to Winter 2026 

Certinia delivers three major releases per year – Winter, Spring, and Summer. We typically recommend upgrading at least once per year to stay current and minimise technical debt. 

While new customers are enrolled in Certinia’s Scheduled Update Program, many existing customers prefer to upgrade on their own timeline. 

If you’d like help planning, testing, or understanding which Winter 26 features will deliver the most value for your organisation, just get in touch – we’d love to help. 

What you’ll find in this blog

• Why Salesforce integrations often become more complex than expected
• The key decisions that determine whether an integration succeeds
• Common mistakes to avoid when connecting systems
• How to approach Salesforce integrations in a structured way

The short answer

Integrating Salesforce with third-party tools can significantly improve efficiency and visibility, but only when it is built on a clear data strategy and aligned to how your business actually operates.

Without that, integrations often introduce new complexity rather than solving existing problems.

Why businesses invest in Salesforce integrations

Most organisations look to integrate Salesforce with other systems to:

• Reduce manual data entry
• Improve accuracy across platforms
• Connect sales, finance and operational processes
• Create better reporting and visibility
• Support automation and scalability

These are all valid goals, but achieving them depends on how the integration is designed.

Why Salesforce integrations often go wrong

Many integration projects fail for the same reasons.

1. No clear data ownership

If it is not clear which system owns which data, inconsistencies quickly appear.

2. Systems connected without a strategy

Connecting systems without defining how data should flow leads to duplication and confusion.

3. Over-engineered solutions

Complex integrations can become difficult to maintain and adapt as the business evolves.

4. Lack of alignment with business processes

If the integration does not reflect how teams actually work, it creates workarounds rather than efficiencies.

5. No plan for ongoing management

Integrations are not a one-off task. Without ongoing support, they quickly become outdated.

What to get right before you start

A successful Salesforce integration starts with clarity, not technology.

1. Define your objectives

Be clear on what you want the integration to achieve. This could be improving reporting, reducing manual work or connecting specific processes.

2. Map your data

Understand what data needs to move between systems, when it needs to move and how it should be structured.

3. Establish data ownership

Define which system is responsible for each data point. This is critical to maintaining consistency.

4. Keep it simple

Avoid unnecessary complexity. Start with the integrations that deliver the most value.

5. Plan for change

Your systems and processes will evolve. Build integrations that can adapt over time.

How Salesforce integrations support wider platform performance

Integration should not be treated in isolation.

It is closely linked to:

👉 Salesforce data migration and data quality improvements
👉 Salesforce optimisation and process alignment
👉 Ongoing support through managed services

When these areas are aligned, your systems work together to support the business rather than operating in silos.

Common Salesforce integration scenarios

Typical use cases include:

• Connecting Salesforce to finance and ERP systems
• Integrating marketing automation platforms
• Linking billing and subscription tools
• Connecting customer support systems
• Aligning Salesforce with Certinia

Each of these requires careful planning to ensure data consistency and usability.

Where Xenogenix adds value

At Xenogenix, Salesforce integration is approached as part of a wider platform strategy.

Rather than simply connecting systems, the focus is on:

• Simplifying processes
• Ensuring data consistency
• Supporting real user workflows
• Designing integrations that scale with your business

This helps organisations move from disconnected systems to a more unified and efficient platform.

What to consider next

If you are planning a Salesforce integration, the most important step is not choosing the technology. It is defining how your systems should work together.

A structured approach can help you avoid common pitfalls and ensure your integration delivers long-term value.

FAQs

What is a Salesforce integration?

A Salesforce integration connects Salesforce with other systems to enable data to flow between platforms automatically.

What systems can Salesforce integrate with?

Salesforce can integrate with finance systems, ERP platforms, marketing tools and a wide range of third-party applications.

How long does a Salesforce integration take?

This depends on the complexity of the systems involved, but integrations are typically delivered in structured phases.

Do integrations require ongoing support?

Yes. Integrations often need ongoing monitoring and updates to ensure they continue to perform effectively.

What you’ll find in this blog

• Why Salesforce optimisation matters more than new functionality
• The most common reasons CRM platforms fail to support sales growth
• How a consultancy improves performance, adoption and visibility
• What practical Salesforce optimisation actually looks like

The short answer

A Salesforce consultancy optimises your CRM for sales growth by aligning the platform to how your business actually sells, improving data quality, simplifying processes and enabling better visibility across the pipeline.

For most organisations, the issue is not a lack of capability in Salesforce. It is that the platform has evolved over time without a clear structure, making it harder for sales teams to use effectively.

Optimisation focuses on removing that friction so Salesforce becomes a tool that actively supports revenue growth rather than slowing it down.

Why Salesforce optimisation is often overlooked

Many businesses invest heavily in implementation, then move straight into using the platform without revisiting how well it is performing.

Over time, this leads to:

• Processes that no longer reflect how the sales team operates
• Inconsistent or incomplete data
• Reporting that lacks accuracy or trust
• Low user adoption and workarounds outside the system

At this point, adding more functionality rarely solves the problem. In many cases, it makes it worse.

Optimisation is about stepping back and asking a simple question:
Is Salesforce helping your sales team sell more effectively, or just recording activity?

The signs your CRM is holding back sales growth

There are a few consistent indicators that Salesforce is not performing as it should:

1. Poor pipeline visibility

If forecasts are unreliable or deals move unpredictably, the underlying data structure is usually the issue.

2. Low user adoption

If your sales team avoids Salesforce or only updates it at the end of the process, it is a sign the system is not supporting their day-to-day work.

3. Over-complicated processes

Too many fields, steps or approval layers create friction and slow down deal progression.

4. Inconsistent data

Duplicate records, missing fields and manual workarounds reduce trust in reporting.

5. Limited automation

If key processes still rely on manual input, it increases the risk of errors and inefficiency.

How a Salesforce consultancy improves CRM performance

A structured optimisation approach focuses on four key areas.

1. Process alignment

Salesforce should reflect how your business sells, not the other way around.

A consultancy will review your current sales processes and ensure that:

• opportunity stages reflect real-world progression
• key data points are captured at the right time
• unnecessary steps are removed

This creates a smoother experience for users and more reliable data for leadership.

2. Data quality and structure

Accurate reporting starts with clean, consistent data.

Optimisation typically includes:

• reviewing field usage and removing redundancy
• improving validation rules
• addressing duplicate and incomplete records
• defining clear data ownership

This allows sales leaders to trust the numbers they are working with.

3. User experience and adoption

If Salesforce is difficult to use, adoption will always be a challenge.

A consultancy will focus on:

• simplifying page layouts
• reducing unnecessary fields
• improving navigation
• aligning workflows to user behaviour

The goal is to make Salesforce a tool that supports the sales team rather than something they have to work around.

4. Reporting and visibility

Better visibility leads to better decisions.

Optimisation ensures that:

• dashboards reflect real business priorities
• pipeline health is easy to assess
• risks are visible early
• performance can be tracked consistently

This is where Salesforce starts to deliver real value at a leadership level.

The role of managed services in ongoing optimisation

Optimisation should not be treated as a one-off project.

As your business evolves, your Salesforce environment needs to evolve with it.

Ongoing admin and managed services support help to:

• continuously refine processes
• respond to user feedback
• maintain data quality
• introduce improvements without disruption

This ensures that the platform continues to support growth over time, rather than gradually becoming outdated.

Where Xenogenix adds value

At Xenogenix, Salesforce optimisation is approached as a practical, outcome-focused exercise.

Rather than introducing unnecessary complexity, the focus is on:

• simplifying processes
• improving usability
• strengthening data quality
• aligning the platform to commercial goals

This approach helps organisations move from a system that tracks activity to one that actively supports sales performance and decision making.

What to consider next

If your Salesforce platform is not delivering the visibility or efficiency you expected, the issue is rarely the technology itself.

In most cases, the opportunity lies in how the platform is structured, used and maintained.

A focused optimisation review can quickly identify where improvements can be made and what will have the greatest impact on sales performance.

FAQs

What is Salesforce optimisation?

Salesforce optimisation is the process of improving how your CRM is structured, used and maintained to better support business processes, user adoption and reporting.

How does Salesforce optimisation support sales growth?

By improving data quality, simplifying processes and increasing visibility, optimisation helps sales teams work more efficiently and enables better decision making.

Do I need a full reimplementation to optimise Salesforce?

No. In most cases, optimisation builds on your existing setup by refining and improving what is already in place.

How long does a Salesforce optimisation project take?

This depends on the size and complexity of your environment, but many improvements can be identified and delivered in short, focused phases.

What you’ll find in this blog:

• The Problem: Explains why “reactive” helpdesks cause Platform Decay and lead to diminished ROI over time.
• The Shift: Advocates for Strategic Enablement over simple ticket-taking to keep pace with Salesforce ARM and Agentforce.
• The Framework: Outlines the Xenogenix Bronze, Silver, and Gold tiers as a roadmap for business maturity.
• The Outcome: Focuses on protecting leadership time and aligning technical architecture with board-level commercial goals.

If you view your Managed Service provider as a digital “break-fix” mechanic, you are likely leaving about 40% of your platform’s value on the table.

In the 2026 Salesforce ecosystem, “keeping the lights on” is no longer a strategy: it is a bare minimum that most firms still manage to get wrong. With the arrival of Salesforce Revenue Management (ARM) and the hype around Agentforce, the distance between a “maintained” platform and an “optimised” one is growing every day.

At Xenogenix, we call this the Platform Decay Gap. And you cannot bridge it with a helpdesk.

The “Broken Helpdesk” Trap

Standard support is reactive by design. You have a problem, you raise a ticket, and someone fixes it. On the surface, it looks like efficiency. Under the hood, it is a disaster for your long-term growth.

When your support partner only reacts to what is broken, they never have the time (or the incentive) to tell you that the process itself is obsolete. They fix the symptom but ignore the fact that your Sales and Finance teams are still operating in silos that ARM was designed to destroy.

Reactive support keeps you standing still. Strategic Enablement moves the needle.

The Three Tiers of Maturity

We have spent two decades watching businesses plateau after implementation. To stop that, we restructured our Managed Services into tiers that actually mean something for your bottom line:

• Bronze (Stability): This is for the firm that needs the basics done right. It is about technical authority and configuration that does not break.
• Silver (Proactive): This is where we start looking ahead. We include process documentation and rollover hours because we know that a business in May looks different than it did in April. We don’t wait for you to find a bug; we find the bottleneck first.
• Gold (Strategic): This is for the leadership team that views Salesforce as a revenue engine. You get 2-hour SLAs and, more importantly, a quarterly strategic roadmap. This is where we align your technology with your board-level goals.

Protecting the “Focus” Resource

The most expensive thing in your business is not your Salesforce licence: it is the time your senior leadership spends worrying about why a report is wrong or why a quote is stuck in limbo.

Every hour you spend “firefighting” is an hour you aren’t spending on market share. Our goal is to protect that focus. We provide the “Senior Expertise” so you can stop being a project manager for your own software and start being a leader again.

The Xenogenix Reality

We aren’t interested in just closing tickets. We want to ensure that your investment in Certinia or Salesforce actually matures. Whether you are navigating the sunset of legacy CPQ or trying to figure out if your data is actually “AI-ready,” you need a partner who pushes back, challenges your processes, and builds for what is next.

Support is a safety net. Strategy is a springboard. Which one are you paying for?

What you’ll find in this blog:

• Market Inflection Point: Explains the transition from the sunsetting Salesforce CPQ to the new
• Salesforce Revenue Management (ARM) architecture.
• Eliminating Silos: Highlights how ARM creates a “Lead-to-Ledger” single source of truth, removing manual handovers between Sales and Finance.
• Overcoming Paralysis: Addresses the common “migration paralysis” by providing a strategic roadmap to de-risk the transition through process optimisation.
• Strategic ROI: Focuses on shifting from reactive support to proactive growth by leveraging automated revenue velocity and data integrity.

In the world of B2B technology, change is the only constant. However, the recent shift by Salesforce to end-of-sale their traditional CPQ product and transition customers toward Salesforce Revenue Management (ARM) represents more than a simple version update. It is a fundamental shift in how modern businesses handle the journey from a customer’s first interest to the final ledger entry.

For many organisations, this news has created a state of “migration paralysis.” You may be weighing up the risks of sticking with a legacy tool, moving to the new ARM architecture, or looking outside the ecosystem entirely. At Xenogenix, we believe this transition is actually the greatest opportunity in a decade to fix the “broken handover” between Sales and Finance.

The Death of the Silo

For years, sales and finance departments have operated as separate entities. Sales teams lived in CPQ (Configure, Price, Quote), while Finance teams lived in ERP or accounting systems. This created a friction-filled gap where data had to be manually re-keyed, translated, or reconciled.

Salesforce Revenue Management (ARM) is designed to kill the silo. By moving to a unified “Lead-to-Ledger” architecture, Salesforce is providing a single source of truth. When a quote is signed, the data flows automatically into revenue recognition and billing schedules without human intervention. This is not just about software; it is about Revenue Velocity.

Why Now? The Need for Strategic Enablement

The market has reached an inflection point. Organisations are no longer satisfied with “reactive” support that simply keeps the lights on. In a volatile economic landscape, leadership teams demand measurable ROI and predictable cash flow.

The move to ARM allows businesses to:

• Eliminate Data Leaks: Stop the manual copy-paste culture that leads to invoicing errors.
• Accelerate Success: Shorten the time between a signed contract and recognised revenue.
• Future-Proof Operations: Leverage a platform designed for the era of Agentic AI and automated governance.

Navigating Migration Paralysis

We understand that the transition feels risky. Many mid-market customers are “frozen” because legacy CPQ is familiar, while ARM feels complex. However, the cost of paralysis is compounding monthly. Staying on a deprioritised product means betting your growth on a tool that lacks future investment.

The most successful firms are those that move decisively. This does not mean a “blind migration.” It requires a Strategic Roadmap where you audit your current processes, strip away technical debt, and optimise your data handover before you touch the new technology.

The Xenogenix Approach

At Xenogenix, our mission is to Simplify Complexity. We provide the senior expertise required to de-risk these transitions. We don’t just “lift and shift” your old CPQ logic; we help you build a modern revenue architecture that aligns your departments and accelerates your growth.

The era of siloed departments is over. The era of Revenue Management has arrived.

As the Salesforce ecosystem moves from AI hype to active production, the conversation has shifted from “Should we use AI?” to a much more critical question: “Is our platform actually ready for it?”.

What you will find in this article:

• The 40-60% Accuracy Trap: Why poor data quality is the primary bottleneck for AI Agent trust.
• The 5 Pillars of AI Readiness: A deep dive into the architectural pre-conditions required for tools like Agentforce.
• From “Spaghetti” to Strategy: How to audit your automation and governance to ensure AI delivers real ROI.

The Architectural Reality of Agentic AI

AI capabilities in Salesforce can deliver immense value, but they are not magic. They are probabilistic systems that rely entirely on the deterministic foundation of your CRM. If your underlying platform is unstable, untrusted, or poorly structured, adding AI will simply automate and accelerate your existing errors.

To move beyond the pilot phase, your organisation must address the Five Pillars of AI Readiness.

1. Trustworthy Data: The Grounding Layer

AI relies on clean, reliable data to function. This is often referred to as “grounding” – providing the AI with the correct context to make decisions.

• The Problem: If leadership doesn’t trust your current reports, they certainly won’t trust an AI agent’s predictions.
• The Fix: You must ensure account and contact data is consistent, opportunity data is complete, and duplicate records are strictly controlled.

2. Process Clarity: Mirroring Real Business Behaviour

AI agents work best when the system reflects how your business actually operates, rather than how the platform was originally configured years ago.

• The Problem: “Ghost processes” or undocumented exceptions lead to AI hallucinations where the agent takes actions that don’t align with your sales or service stages.
• The Fix: Clearly define your sales stages, document service handoffs, and ensure workflows reflect real-world operations.

3. Automation Hygiene: Eliminating “Spaghetti” Logic

Complex, legacy automation makes new AI features significantly harder to introduce safely.

• The Problem: Overlapping flows or conflicting validation rules can confuse autonomous systems, leading to unpredictable errors.
• The Fix: Perform a “Spring Cleaning” of your automation. Review old rules, document key workflows, and ensure changes can be made without excessive testing effort.

4. The Adoption Loop: Closing the Visibility Gap

Low user adoption is one of the single biggest blockers to AI success.

• The Problem: If your team tracks work in spreadsheets or outside of Salesforce, your AI is essentially “blind” to your actual business activity.
• The Fix: Ensure teams use Salesforce daily and update data in real time. When users trust the system, the data becomes rich enough for AI to provide meaningful insights.

5. Governance Over Technology: The Roadmap to Success

AI projects fail more often due to governance and platform ownership issues than technical limitations.

• The Problem: Without clear ownership, technical debt accumulates, and new features are released without proper review.
• The Fix: Establish a formal roadmap, define platform ownership, and commit to regular optimisation reviews to monitor system health.

Conclusion: Don’t Automate a Mess

Implementing Agentforce or advanced automation on a shaky foundation is a high-risk strategy. By reviewing your data quality, automation, and governance now, you reduce risk, improve adoption, and make future AI changes far easier to implement.

Xenogenix has been a Salesforce partner since 2007, maintaining a 4.9/5 CSAT rating by focusing on the design and maintenance of the whole platform. We offer a targeted Salesforce Optimisation Review designed to highlight your gaps and ensure your environment is truly ready for the AI era.

What this blog contains:
• This blog explores why organisations should review their Salesforce foundations before introducing AI capabilities such as Agentforce and predictive automation.
• It outlines five common signals that a Salesforce environment may require optimisation, including inconsistent data, slow reporting, automation conflicts, uneven platform adoption and increasing technical complexity.
• The article explains how these issues can affect automation reliability, reporting accuracy and the ability to introduce new features safely.
• It also discusses why many organisations benefit more from simplifying and optimising their existing platform before adding new AI functionality.

There is a lot of excitement around Salesforce AI right now. Between Agentforce, predictive automation and new platform capabilities, many organisations are exploring how they can move faster and automate more of their commercial processes.

The promise is compelling. AI can surface insights earlier, recommend next best actions and reduce manual work across teams.

However, before adding new layers of automation, it is worth asking a simpler question.

Is your current Salesforce environment operating as effectively as it could be?

Many organisations assume that new technology will solve underlying inefficiencies. In reality, adding AI to an unstable foundation often exposes problems that were previously hidden inside manual processes.

In many cases the biggest improvements come not from expansion, but from optimisation.

Here are five signals that it may be time for a Salesforce foundations review before introducing new AI capabilities.

1. Data Quality Is Inconsistent

AI and automation rely heavily on reliable data. If records are duplicated, incomplete or inconsistently structured, automated processes quickly become unreliable.

This often shows up in ways such as:

• duplicate accounts or contacts across the database
• incomplete opportunity data
• inconsistent field usage across teams
• manual workarounds for missing information

When data quality declines, reporting becomes less trustworthy and automation becomes harder to maintain. Teams lose confidence in the system and start relying on external spreadsheets or manual processes instead.

Before introducing AI-driven recommendations or automated decision making, organisations should ensure that their data structure is consistent and governed properly.

Without this foundation, automation can amplify inaccuracies rather than improve efficiency.

2. Reporting Takes Longer Than It Should

Salesforce reporting should provide clear insight quickly. When reporting becomes time-consuming or requires significant manual intervention, it often signals structural complexity within the platform.

Common symptoms include:

• exporting data into spreadsheets to create reports
• building multiple workarounds to answer simple questions
• inconsistent pipeline reporting across teams
• dashboards that require manual adjustment before meetings

These issues usually emerge when processes evolve faster than the data model supporting them.

Over time additional fields, workflows and custom objects are introduced to solve individual problems. Without regular review, this can create reporting structures that are harder to interpret and maintain.

An optimisation review can often simplify reporting by consolidating fields, aligning processes and improving the underlying data structure.

3. Automation Conflicts

Automation is one of Salesforce’s most powerful capabilities, but it is also one of the most common sources of complexity.

Over time organisations tend to layer new automation on top of existing workflows. Different teams may introduce new rules, validation processes or flows to address specific needs.

Without regular governance, this can create overlapping automation that behaves unpredictably.

Typical warning signs include:

• workflows triggering unexpectedly
• automation interfering with reporting updates
• difficulty identifying which automation controls a process
• increased time required to implement small changes

When automation becomes difficult to manage, organisations often become reluctant to introduce further improvements.

Simplifying existing automation before introducing AI-driven processes helps ensure that the platform remains maintainable as it evolves.

4. Adoption Is Uneven Across Teams

Another strong indicator that optimisation is needed is inconsistent platform adoption.

In many organisations some teams rely heavily on Salesforce, while others engage with it only minimally.

This rarely happens because the platform lacks capability. More often it reflects misalignment between business processes and how the system is configured.

Signs of adoption friction include:

• teams maintaining parallel spreadsheets
• inconsistent use of opportunity stages
• manual tracking of activity outside the platform
• reluctance to update records regularly

When adoption varies across departments, the platform struggles to deliver reliable insight.

Improving adoption often requires simplifying processes, clarifying ownership and ensuring the system reflects how teams actually work rather than how it was originally designed.

5. New Features Feel Difficult to Introduce

Salesforce evolves rapidly, releasing new functionality every year. However, some organisations find that introducing new features becomes increasingly difficult over time.

Small changes begin to require extensive testing. New workflows interact unpredictably with existing automation. Even minor adjustments can feel risky.

This is often a sign that the platform has accumulated technical complexity over time.

It is rarely caused by a single mistake. Instead it is the natural result of growth. As businesses evolve, new processes are layered onto existing systems without always simplifying what came before.

A structured optimisation exercise helps identify redundant configurations, streamline automation and reduce unnecessary complexity.

This creates a platform that is easier to maintain and far more adaptable to future changes.

How to Run a Salesforce Foundations Review

If any of these signals sound familiar, it does not necessarily mean a full rebuild is required. In most cases, the most effective first step is a structured optimisation review.

A foundations review typically focuses on a few key areas:

Data structure
Reviewing account, contact and opportunity data to identify duplication, inconsistent field usage and gaps in required information.

Automation logic
Mapping existing workflows, validation rules and flows to identify overlaps, conflicts or redundant automation.

Reporting architecture
Assessing how reports and dashboards are built to determine whether the underlying data model supports clear and reliable insight.

Process alignment
Comparing how teams actually work with how processes are configured inside Salesforce. Misalignment here is often the biggest driver of adoption issues.

Platform governance
Establishing clear ownership and change management processes so that the platform can evolve without creating unnecessary complexity.

A short review across these areas can often reveal opportunities to simplify the platform significantly, making it easier to maintain and far easier to introduce new capabilities such as AI driven automation.

For many organisations, this kind of optimisation exercise delivers more immediate value than introducing additional functionality.

Conclusion

Salesforce is evolving quickly, and the emergence of AI capabilities such as Agentforce presents significant opportunities for organisations looking to increase efficiency and improve decision making.

However, the organisations that benefit most from these capabilities are not always the ones that adopt them first.

They are the ones that ensure their foundations are strong before introducing additional layers of technology.

Taking the time to review data quality, automation structures, reporting design and adoption patterns often unlocks significant value that already exists within the platform.

In many cases, clarity before expansion delivers far greater impact than simply adding new functionality.

For organisations planning to explore Salesforce AI this year, starting with an optimisation review is often the most effective first step.

What you’ll find in this blog:

• Salesforce innovation is now focused on Agentforce Revenue Management, a native platform that offers improved performance, tighter integration, and a future-ready architecture compared to CPQ.
• Agentforce Revenue Management connects quoting, contracts, billing, and fulfilment on a single data model, enabling a more unified revenue lifecycle.
• Organisations can adopt capabilities such as Contract Lifecycle Management or Dynamic Revenue Orchestration independently, allowing a phased approach rather than a full migration.
• Exploring the transition now positions organisations to take advantage of ongoing innovation and AI-driven revenue operations.

If you have been running Salesforce CPQ for a few years, it has likely served you well. It brought structure to your quoting process, enforced pricing rules, and gave your sales team a guided path from opportunity to quote. However, the landscape is shifting, and Salesforce’s investment is now firmly focused on Agentforce Revenue Management.

So what does this mean for CPQ customers, and why should you care?

A Platform Built on Core, Not a Managed Package

The most fundamental difference between Salesforce CPQ and Agentforce Revenue Management is architectural. CPQ runs as a managed package on top of Salesforce, which has always introduced constraints such as governor limits, upgrade dependencies, and limitations around customisation and calculations. ARM is built natively on the Salesforce core platform, using standard objects rather than package objects. This enables tighter integration with the rest of your organisation, improved performance, and a future-ready foundation that evolves with each Salesforce release rather than lagging behind.

For teams that have spent years managing workarounds and technical debt within CPQ, this shift alone is significant.

The Benefits of Making the Move

A Unified Revenue Lifecycle

CPQ has always been just one piece of a broader puzzle. Billing, contracts, order management, and revenue recognition often required separate tools or significant integration effort. Agentforce Revenue Management brings these capabilities together on a single platform with a shared data model, allowing the quote your representative creates to flow seamlessly through to contract, order, fulfilment, and invoice without data gaps or reconciliation challenges.

API-First Architecture

Every revenue process in Agentforce Revenue Management is exposed as an API. This makes it much simpler to connect your quoting and pricing engine to e-commerce portals, partner channels, or customer self-service experiences. If you have previously struggled to align CPQ pricing with an external system, you will recognise how significant this improvement is.

Scalability for Complex Configurations

The new Advanced Configurator introduces constraint-based configuration, replacing the rigid if-then rule logic that CPQ relied on. Instead of maintaining thousands of product and price rules that become increasingly fragile as your catalogue grows, you define relationships and allow the solver engine to determine valid configurations automatically. This represents a fundamentally more scalable approach to managing product complexity.

You Do Not Have to Adopt Everything at Once

One of the most compelling aspects of Agentforce Revenue Management is its composability. You can begin with the capabilities that address your most pressing challenges and expand over time.

Take Contract Lifecycle Management as an example. Many CPQ customers currently rely on third-party tools to manage contract generation, redlining, approvals, and e-signatures. With Agentforce Revenue Management, CLM is native. You can generate contracts directly from approved quotes, manage clause libraries, automate approval workflows, and handle e-signatures without leaving Salesforce. Legal teams can maintain pre-approved templates and clause libraries, while AI-driven clause generation helps accelerate drafting. According to KPMG, up to 40 percent of a contract’s value can be lost due to CLM inefficiencies. For organisations where the contract stage is a bottleneck in the deal cycle, adopting CLM alone could deliver immediate and measurable value.

Similarly, Dynamic Revenue Orchestration is another capability that can be leveraged independently. DRO provides a visual design canvas to map how commercial orders are broken down into fulfilment tasks, billing schedules, and downstream system hand-offs. If your current post-sale process involves manual order management or inefficient integrations between CPQ and your ERP system, DRO can streamline the entire workflow without requiring you to reimplement your quoting process from the beginning.

The key point is that migration does not need to be a greenfield project. You can adopt specific modules where the return on investment is clearest and build from there.

Looking Ahead

Salesforce has made it clear that Agentforce Revenue Management represents the future of revenue operations on the platform. CPQ is not disappearing immediately, but the pace of innovation is clearly aligned with the new architecture. Each major release is introducing new capabilities to Agentforce Revenue Management, including enhanced pricing formulas, multi-order creation, and deeper Agentforce AI integration, while CPQ’s roadmap is largely focused on maintenance. If you are currently planning CPQ enhancements or encountering limitations with your existing setup, now is an appropriate time to evaluate whether those efforts would be better directed towards Agentforce Revenue Management instead.

Organisations that begin exploring this transition now will be best positioned to take advantage of AI-driven revenue operations as the platform continues to mature.

Xenogenix is proud to announce that we have been awarded the Certinia Customer Delivery Excellence Award (International) 2025.

The award recognises partners who consistently deliver high-quality implementations and ongoing customer outcomes. Certinia highlighted Xenogenix for our delivery standards, strong customer satisfaction scores, and the depth of expertise across our certified consultant team.

“Xenogenix stood out for their consistent delivery quality, strong CSAT scores, and the depth of expertise across their certified consultant team. From implementation to outcomes, the Xenogenix team brings a level of care and commitment that customers feel and value. We’re proud to recognize their dedication to delivery excellence.”

For us, this recognition is particularly meaningful because it reflects how we approach every engagement. Our teams work closely with customers from initial design through to adoption and long-term support, ensuring the solution delivers measurable value rather than simply being implemented.

This award belongs to the entire Xenogenix team – across delivery, managed services, operations and support – all of whom contribute to the experience our customers receive every day.

We would also like to thank our customers and partners for the trust they place in us. We look forward to continuing to help organisations get the most from their Certinia and Salesforce investment.

This blog explores:

• Why Salesforce platforms struggle more with friction than missing functionality
• How optimisation improves adoption, confidence, and delivery
• Common signs technical debt is slowing Salesforce teams down
• Practical ways to prioritise optimisation before adding complexity

Salesforce platforms rarely fail because they lack functionality.

They struggle because complexity builds faster than usability.

Over time, good decisions accumulate. Quick fixes become permanent. Processes drift away from how teams actually work. Before long, Salesforce still functions, but it feels heavier. Changes feel riskier. Adoption quietly declines.

This is where optimisation becomes more valuable than expansion.

Expansion feels productive. Optimisation creates impact.

Adding features feels like progress.

Optimisation creates space.

When teams focus on improving what already exists, they often unlock value faster than they would by building something new.

Optimisation typically targets:

• page layouts that no longer reflect real workflows
• fields that exist without purpose
• automation layered on automation
• reports users no longer trust

None of these are dramatic failures. They are gradual drifts.

Left unchecked, they slow everything down.

Adoption is a design problem, not a motivation problem

Low adoption is rarely about effort or training.

It is usually a signal that Salesforce no longer fits how people work day to day.

When screens are cluttered and processes feel slower than workarounds, users disengage.

Small design improvements often restore adoption faster than large transformation programmes.

Technical debt hides in plain sight

In Salesforce, technical debt often looks normal.

It lives in:

• overlapping automation
• inconsistent data models
• customisations nobody owns
• areas of the platform teams avoid touching

These issues rarely break Salesforce.

They just make change harder than it should be.

Optimisation brings confidence back into delivery.

What strong Salesforce teams optimise first

Teams that see consistent results tend to focus on:

• removing friction from core workflows
• simplifying data models
• improving trust in reporting
• reducing risk before adding complexity

They treat optimisation as ongoing, not a one-off project.

A practical approach

If your Salesforce platform feels harder to change than it used to, start here:

• review adoption hotspots
• identify areas teams avoid changing
• simplify layouts and processes
• address technical debt selectively

You do not need to fix everything.

You need to fix what matters most.

Optimisation is how Salesforce moves from being something teams manage to something they rely on.

If you’d like to talk through where optimisation could unlock value in your Salesforce platform, we’re always happy to help.