Most revenue transformations start in Sales.

The ones that succeed end with the CFO.

That’s not politics — it’s physics.

Agentforce Revenue Management is becoming essential as revenue models grow more dynamic, because the cost of getting revenue wrong shows up fast: margin leakage, billing disputes, and cash delays.

Those risks don’t sit with Sales.

They sit squarely in the CFO’s remit.

Why CFOs Are (Rightly) Sceptical of Revenue Automation

From a finance perspective, many “revenue transformation” programmes fail for the same structural reasons.

• optimistic forecasts
• aggressive automation promises
• limited visibility into downstream financial impact

Too often, organisations bring Finance in after they have already encoded decisions into systems.

By that point, the financial consequences are already baked in:

• pricing logic is locked
• discounting behaviour is entrenched
• billing complexity is unavoidable

CFO scepticism isn’t resistance to change.

It’s resistance to uncontrolled change.

The Three Things CFOs Actually Care About

In practice, strip away the jargon, and CFO expectations around revenue systems are remarkably consistent.

As a result, this is where most legacy CPQ-centric approaches fall short.

CPQ systems optimise deal construction — not financial outcomes across the full revenue lifecycle.

Why Agentic Revenue Changes the CFO Conversation

Agent-orchestrated revenue systems shift the conversation from:

“Can Sales move faster?”

to:

“Can the business scale complexity without losing financial control?”

This is where Agentforce Revenue Management (ARM) becomes relevant — not as another CPQ iteration, but as a governed revenue control layer.

Agentforce Revenue Management builds on Salesforce’s broader Agentforce and Revenue Cloud capabilities, designed to bring governed automation into enterprise revenue operations — embedding finance policy directly into pricing, contracting, billing, and revenue execution.

When designed correctly, agentic revenue models:

• enforce finance policy automatically
• surface commercial and financial risk early
• reduce reliance on manual deal desks
• improve forecast confidence

Crucially, this only works when organisations embed finance policy directly into the revenue layer, rather than bolting it on later.

The CFO’s Non-Negotiables for Agentforce Revenue Management

From what we see across enterprise organisations, CFO support for ARM initiatives depends on four non-negotiables.

1. Commercial Intent Has a Single Owner
Who decides pricing, under what conditions, and why must be explicit — not inferred from workflow.

2. Intent and Execution Are Seperated
Organisations should not bury revenue logic inside ERP customisations or sales processes. Policy must outlive tools, teams, and org changes.

3. Governed Autonomy
Agents can act — but only within clearly defined financial guardrails.

Autonomy without policy creates risk, not scale.

4. Measurable Financial Outcomes
CFOs expect to see:

• margin leakage reduced
• billing disputes decline
• cash cycles shorten

Without this, Agentforce Revenue Management becomes just another technology programme.

What Changes for Finance Leaders

In an agentic revenue model powered by Agentforce Revenue Management:

• Finance moves upstream — from audit to design
• Control shifts from approvals to policy
• Visibility improves before revenue is booked

Importantly, this isn’t about giving Finance more work.

It’s about giving Finance structural leverage.

Without slowing down revenue or increasing approval overhead.

Executive Takeaway

The future of revenue doesn’t belong to Sales or Finance alone.

Ultimately, it will only work at scale if CFOs trust the system more than they trust manual overrides.

Leaders must design that trust deliberately.

Agentforce Revenue Management is how that trust is operationalised at scale — through policy, not people.

Ready to design agentic revenue with financial control?
Agentic revenue only works when margin, cash, and policy are embedded into the system — not reviewed after the fact.

We work with CFOs and revenue leaders to design governed agentic revenue models using Agentforce Revenue Management — aligned to financial policy, auditability, and scale. Book a CFO-level strategy session

Autonomous revenue agents are changing how organisations think about AI across sales, finance, and operations.

AI has entered the revenue conversation loudly. New tools promise faster deals, smarter pricing, and fewer manual steps. But much of the conversation still misses the real issue.

The question isn’t whether agents can do more.

It’s which revenue decisions they should be trusted to make — and under what conditions.

Because the real impact of agents isn’t about automation volume or speed. It’s about decision authority.

Assistive AI Was the Easy Part

Most organisations start with assistive AI. Agents summarise deals, draft contracts, recommend prices, and answer billing questions. These capabilities are low-risk and immediately useful, which is why adoption happens so quickly.

But assistive AI doesn’t change how revenue works. It helps people move faster inside the same operating model, with the same approvals, handoffs, and constraints.

Efficiency improves. Outcomes rarely do.

Autonomous Agents Redefine Decision Rights

Autonomous revenue agents operate very differently. They don’t just advise — they act.

They initiate actions, make decisions, and resolve exceptions in real time, often across multiple systems. Operating continuously and at machine speed, they introduce a new dynamic into revenue operations.

This shift doesn’t simply increase productivity.

It reassigns who gets to decide.

And that’s where risk enters the picture.

Why Fear of Agents Is Rational

Resistance to autonomous agents is often misread as fear of change. In reality, it’s a rational response to how revenue decisions actually work.

In revenue, flexibility isn’t a nice-to-have — it’s how deals get done. Sales teams worry about being overridden in moments where context matters more than rules. Finance worries about policies being applied inconsistently at scale, with no clear audit trail when something goes wrong. Legal worries about compliance and accountability when decisions are executed by systems rather than named individuals.

This isn’t a rejection of AI.

It’s a rejection of autonomy without boundaries.

Governed Autonomy Is the Real Breakthrough

The organisations succeeding with autonomous revenue agents aren’t trying to make agents as autonomous as possible. They’re designing autonomy deliberately.

They ask where autonomy creates value, and where it introduces unacceptable risk.

In practice, this leads to a staged model:

Assistive agents
that support human decision-making

Semi-autonomous agents
that act within clearly defined guardrails

Fully autonomous agents
operating in tightly bounded, well-understood domains

At every stage, autonomy is anchored to explicit policy, clear escalation paths, and complete auditability. Without these foundations, trust erodes quickly — and autonomy stalls.

Why Revenue Is the Hardest Place to Start

Revenue is one of the most demanding environments for autonomy. Revenue decisions are financially material, customer-visible, and often legally binding.

Mistakes don’t stay internal. They surface in contracts, invoices, and renewal conversations.

That’s exactly why revenue is the right place to start.

If an organisation can govern autonomy across pricing, contracting, renewals, and billing, it can govern it anywhere. Revenue exposes every weakness in operating models, which is why point solutions and traditional CPQ systems break at scale.

Revenue isn’t a workflow problem.

It’s an operating system problem.

What Doesn’t Change (And Never Will)

Even in an agentic future, some things remain constant:

• Humans still own strategy
• Finance still owns policy
• Accountability never disappears

Agents don’t replace leadership.

They execute leadership intent — consistently, continuously, and at scale.

Executive Takeaway

The winners won’t be the companies with the most autonomous agents.

They’ll be the ones that design trustworthy autonomy, align it tightly to revenue policy, and scale it deliberately across the revenue lifecycle.

See autonomous revenue agents in action. Discover how Agentforce Revenue Management delivers governed autonomy across every deal, renewal, and billing event.

Book a strategy session to see what controlled, auditable revenue autonomy actually looks like in practice.

Agentforce Revenue Management (ARM) provides the revenue control plane enterprises need between CRM and ERP. Most enterprises already run two powerful systems:

CRM captures demand.
ERP records financial truth.

Yet revenue still leaks.

Deals stall.
Billing disputes rise.
Finance questions pipeline confidence.

The problem isn’t system capability.

Instead, neither platform was designed to orchestrate revenue end to end.

The False Choice: CRM or ERP Owning Revenue

When revenue breaks, organisations swing between two extremes. One camp argues that sales should own it and push everything into CRM. Meanwhile, the other insists finance should take control and lock everything down in ERP.

Both approaches fail — and they fail for the same reason.

No single function owns revenue. Instead, revenue operates as a cross-functional system built on three elements: intent, decisioning, and execution.

CRM captures what customers want. However, ERP records what actually happened.

As a result, organisations lack real-time control.

What’s missing is a revenue control plane — a layer that governs what can happen before execution begins.

The Messy Middle Between CRM and ERP

Between CRM and ERP sits the most fragile layer of revenue operations. Here, teams define pricing logic, govern discounts, manage contracts, handle renewals, apply usage changes, and hand off billing.

As a result, margin gets negotiated, risk increases, and exceptions multiply.

Historically, organisations stitched this layer together with CPQ rules, manual approvals, spreadsheets, and deal desks. At the time, this approach felt “good enough.”

However, it no longer scales.

Today, subscriptions, consumption pricing, global revenue models, and AI-driven decisions demand real-time control. Therefore, complexity has outgrown the tooling.

Why Revenue Needs a Control Plane

Modern enterprises don’t just need more automation. Instead, they need a revenue control plane.

This system coordinates decisions across Sales, Finance, Legal, and Operations. It enforces commercial policy dynamically and translates customer intent into execution.

This is exactly what Agentforce Revenue Management delivers.

ARM doesn’t replace CRM or ERP. Instead, it sits between them to orchestrate revenue with speed and governance.

As a result, leaders make the right decisions before execution — not after.

What Is Agentforce Revenue Management?

Agentforce Revenue Management (ARM) is Salesforce’s revenue orchestration layer. Its role is to own commercial intent, validate deals against policy and margin rules, and orchestrate execution into billing and finance systems.

ARM is not CPQ v2. It’s not a billing engine. And it’s not a reporting layer. It’s a control system.

In practice, CRM captures what the customer wants. ARM governs what the business allows. ERP records what gets booked and billed.

This structure removes friction, reduces risk, and dramatically improves forecast confidence.

Agentforce Revenue Management and AI Agents

As AI agents take on more responsibility — from creating quotes and managing renewals to resolving billing queries — the risk of unguided automation increases.

Without a revenue control plane, agents act on incomplete data, finance loses visibility, and trust starts to erode. Automation moves faster than governance, and that’s where things break.

Agentforce Revenue Management provides the guardrails that allow automation to scale safely. It ensures AI-driven actions are aligned with commercial policy, financial controls, and enterprise risk standards.

For a deeper view on modern revenue architecture, explore our guide to the Revenue Operating System.

Executive Takeaway

If revenue still feels unpredictable, slow, or contested internally, it’s rarely a people problem. It’s almost always an architecture problem.

Until organisations design a revenue control plane between CRM and ERP, they will continue to leak value through friction, exceptions, and manual workarounds.

The future of revenue isn’t owned by Sales or Finance.

It is orchestrated — deliberately — through Agentforce Revenue Management.

Ready to take control of revenue?
See how Agentforce Revenue Management delivers real-time governance across every deal, renewal, and billing event. Book a strategy session to see ARM in action.

CPQ at scale rarely fails dramatically.
It doesn’t crash.
Nor does it get ripped out overnight.
And it rarely triggers a transformation programme on day one.

Instead, it degrades.

Quietly.

Not because CPQ is outdated — but because revenue has outgrown it.

As product portfolios expand, pricing models multiply, and revenue becomes more dynamic, CPQ shifts from enabler to constraint — not because the technology is poor, but because the role it’s been asked to play has fundamentally changed.

The Warning Signs Are Subtle — Until They Aren’t

In practice, most organisations don’t wake up one morning and declare their CPQ broken. Instead, the signals emerge slowly:

🧾 Quotes still go out — but take longer than they used to
🧩 Exceptions increase — and quietly become “normal”
🔍 Finance validates after close — not before
🧑‍💼 Deal desks grow — instead of shrinking
📉 Margin erosion appears later — not in the moment

Individually, these look like operational issues.

Collectively, they signal something structural — revenue decisions are being forced through a system designed for a simpler world.

These are the early indicators of CPQ being stretched beyond its design limits.

What CPQ Was Actually Built to Do

Originally, CPQ was designed to answer a narrow set of questions:

Is this configuration valid?
Does the price follow the rules?
Can sales generate a quote quickly and consistently?

That worked when:

📦 Products were largely static
📊 Pricing models were predictable
🧭 Sales owned most decisions
🧾 Billing followed contracting with minimal deviation

In that environment, CPQ automated execution effectively.

But modern revenue no longer fits inside those assumptions.

Today’s reality includes subscriptions, usage, amendments, renewals, mid-term changes, regional overlays, and continuous optimisation — all happening simultaneously.

CPQ was never designed to orchestrate that level of dynamism.

Where Scale Turns CPQ Into a Bottleneck

As complexity rises, the same failure modes appear across industries when CPQ at scale becomes the de facto decision engine.

Logic becomes fragile
Pricing rules pile up. Bundles nest inside bundles. Small changes carry unexpected consequences.

Trust erodes
Sales, finance, and billing interpret the same deal differently — and stop relying on a single source of truth.

Speed declines
Approvals multiply. Manual intervention increases. Automation paradoxically slows things down.

AI adds risk instead of leverage
When AI is bolted onto an unstable decision model, confidence drops instead of rising. Governance becomes reactive.

The shift requires agent-based execution that operates inside clearly defined policy, pricing, and risk boundaries — not alongside them.

Real value only emerges when agents operate inside defined policy, pricing, and risk boundaries — not alongside them.

None of this is a tooling problem.

It’s an operating-model problem.

The Real Shift: CPQ as a Component, Not the Brain

High-performing organisations aren’t “replacing CPQ”.

They’re demoting it.

They recognise that CPQ can’t sit at the centre of revenue decision-making. Instead, it needs to operate inside a broader revenue orchestration layer — one that:

🎛️ Governs pricing and policy centrally
🔄 Aligns sales intent with financial outcomes continuously
🤝 Defines where humans decide and where agents act
⚠️ Exposes risk before revenue is committed

In this model, CPQ executes — but it doesn’t decide.

Why This Isn’t Just Another CPQ Upgrade Cycle

Crucially, this isn’t CPQ v2.
It isn’t “CPQ plus AI”.
And it isn’t a better approval workflow.

It’s a recognition that revenue no longer behaves like a linear transaction flow.

It behaves like a system — adaptive, always on, and constantly recalculating.

Trying to manage that with tools designed for sequential handoffs guarantees friction, delay, and leakage.

What Leaders Need to Confront

Most CPQ programmes don’t fail at launch.

They fail over time — as complexity accumulates and confidence drains away.

The organisations pulling ahead are the ones willing to:

🚫 Stop treating revenue as a sales automation problem
🧠 Design decision-making, not just execution
🏛️ Embed finance, governance, and AI by design
🧩 Rethink the layer between CRM and ERP — where orchestration platforms like Agentforce Revenue Management increasingly sit — but where operating-model clarity is still missing

This is where we see transformation succeed — or stall.

Because revenue transformation is no longer a sales initiative.

It’s an enterprise design challenge.

Closing Thought

CPQ at scale still matters. But it can no longer be the place where revenue decisions live.

The future belongs to organisations that design for complexity first — and let CPQ play the role it was always meant to play:

Execution, not orchestration.
Control, not complexity.

For decades, enterprises treated revenue as a process.

Lead to opportunity. Quote to contract. Order to invoice.

Linear, sequential, and comfortably predictable.

That mental model is now breaking down — because revenue no longer behaves like a workflow you move through once. It behaves like an operating system: always on, continuously recalculating, and governing decisions in real time.

Today’s revenue environment is shaped by subscription and usage-based models, sprawling product portfolios, multiple regions and channels, and an ever-tightening web of finance, compliance, and margin constraints. At the same time, automation and Agentic AI are no longer optional — they are actively shaping how commercial decisions are made.

Trying to force this reality through yesterday’s Quote-to-Cash logic is like running cloud workloads on a mainframe. It technically works — until it doesn’t.

And when it breaks, it breaks expensively.

The Real Problem Isn’t Sales or Finance

It’s the Messy Middle

When revenue leaders describe where things go wrong, the symptoms are remarkably consistent.

Quotes take too long to produce. Approvals stack up. Renewals fail to capture full value. Billing disputes erode customer trust. Finance teams hesitate to rely on the numbers until weeks after the deal is done.

What’s striking is that none of this friction truly lives in CRM or ERP.

It lives in the space between them.

That “messy middle” — pricing logic, discounting rules, contract structures, amendments, order changes, billing hand-offs — is where an estimated three to seven percent of revenue quietly leaks away.

It’s where deal velocity slows, margins drift off policy, and governance becomes reactive rather than intentional.

Traditional CPQ tools were built to configure products and generate quotes. They were never designed to orchestrate revenue at enterprise scale, across constantly shifting commercial conditions.

Why Linear Quote-to-Cash Has Reached Its Limit

The original Quote-to-Cash model was designed for a very different world.

It assumed humans made most decisions, products rarely changed, pricing was largely predictable, and billing happened after the “real work” of selling was done.

None of those assumptions hold today.

Modern revenue demands continuous recalculation, live validation, dynamic pricing and packaging, and constant alignment between sales intent and financial reality. Revenue no longer behaves like a checklist you complete once — it behaves like a living system that is always in motion.

Linear Quote-to-Cash models struggle not because they are poorly implemented, but because they were never designed to operate as a governed revenue operating system under constant change.

When organisations try to force complexity through a linear flow, it doesn’t disappear. It simply re-emerges later as risk, rework, and revenue leakage.

Revenue as an Operating System: Why the Revenue Operating System Matters

The organisations pulling ahead are not just optimising individual steps in the process. They are redesigning how revenue itself operates.

They are building a revenue operating system — one designed to govern decisions, not just execute transactions.

Not a single tool, but a governing layer that determines:

• how commercial decisions are made
• who makes them (human or agent)
• when decisions escalate
• how intent moves cleanly into financial execution

In this model:

• CRM captures demand
• ERP records financial truth
• the revenue layer in between coordinates pricing, policy, governance, and execution — live

This is where agent-based systems become genuinely transformational. Not because they automate isolated tasks, but because they manage complexity at speed, with governance designed in rather than bolted on.

It’s why many enterprises are now re-examining their revenue architecture — shifting focus away from individual tools and toward the operating layer that connects them.

This architectural approach increasingly aligns with how modern platforms describe enterprise revenue management: as a governed, real-time layer sitting between CRM and ERP.

What This Means for Leaders

If revenue is now an operating system, then CPQ on its own is no longer enough.

AI added after the fact introduces risk rather than control. Finance, billing, and governance can no longer sit downstream — they must be part of the design from day one.

Most importantly, revenue transformation is no longer a sales initiative.

It is an enterprise design challenge.

One that sits at the intersection of commercial strategy, financial governance, data, and automation — and one many organisations are only just beginning to confront.

Closing Thought

The next generation of market leaders won’t win because they quote faster.

They’ll win because they run revenue as a real-time, governed operating system — designed for complexity, resilience, and scale, rather than nostalgia.

Every day, conversations happen at the edges of services — in phone calls, WhatsApp messages, chatbots — each one holding a story that matters. Transceve exists to ensure those stories are heard.

At Trigg Digital, we’ve had the privilege of working with Transceve — a groundbreaking platform that leverages generative AI to help third-sector organisations hear what their customers are already saying. Not by gathering more feedback, but by transforming live, unstructured data into actionable, measurable insight.

Through our collaboration, we’ve supported Transceve in scaling their AI-powered Salesforce engine — helping turn conversations into clarity, sentiment into strategy, and feedback into tangible real-time impact.

We’re proud to shine a light on that experience as part of our Pledge 1% commitment. It’s work that embodies exactly what we stand for: purposeful technology, amplifying human voices, and driving meaningful change.

Damien Ribbans, Managing Director at Transceve, shared: “Our mission has always been to demonstrate the ‘art of the possible’ in social impact measurement. Partnering with Trigg has demonstrated this in action, showing what happens when cutting-edge technology meets a shared passion for social impact.”

Steven Paul, Chief Executive Officer at Trigg Digital, added: “We’re proud to support Transceve in building purposeful, scalable solutions that transform real feedback into lasting change. It perfectly aligns with our belief in tech for good.“

Gumtree, one of the UK’s most popular online marketplaces, has appointed Trigg Digital as its Strategic Salesforce Partner to implement a modular, future-ready CRM platform to fuel its next phase of growth.

As Gumtree sharpens its focus on product innovation, operational excellence, and delivering brilliant experiences for users, the business is investing in a scalable platform that brings together all core business functions across a diverse portfolio – from services and property, to jobs, media sales and ops, finance, and customer support – into a single, connected Customer 360 view.

Gumtree selected Trigg Digital for its proven expertise in complex, multi-vertical marketplace environments. The new CRM solution will deliver a flexible, composable architecture that accelerates time-to-market for new product offerings and ensures a consistent, data-driven experience across every customer touchpoint.

It also lays the foundations for Agentforce – Salesforce’s AI-powered automation and insights engine – designed to boost productivity, reduce operational costs, and enable smarter, faster cross-selling, upselling, enhanced customer satisfaction, and more informed decision-making.

This partnership represents a pivotal step in Gumtree’s mission to build a more responsive, intelligent, and sustainable marketplace – delivering greater value to its millions of users as the business enters an exciting new chapter.

Andy Harper, Chief Operating Officer at Gumtree, shared: “Partnering with Trigg Digital is a significant milestone in Gumtree’s transformation journey. Their deep understanding of complex marketplace environments and proven Salesforce expertise made them the clear choice. This new platform will give us the agility to innovate faster, streamline our operations, and deliver a more connected, personalised experience for our customers across every touchpoint.“

Euan Begley, Head of Strategy & Business Ops at Gumtree, added: “Our collaboration with Trigg Digital is central to enabling a more agile, data-driven Gumtree. The new CRM platform will streamline how we work across teams, reduce complexity, and give us the strategic flexibility to respond faster to market opportunities – all while keeping the customer experience at the heart of what we do.“

Steven Paul, Chief Executive Officer at Trigg Digital, added: “Partnering with Gumtree is a particularly meaningful milestone for me personally. Having spent a large part of my career working in marketplaces, this feels like a full-circle moment. Gumtree is an iconic brand with a clear vision for the future, and we’re excited to bring our deep Salesforce expertise to support their transformation. Together, we’re building a platform that empowers innovation, drives operational excellence, and puts the customer experience front and centre.“

About Gumtree

Gumtree is one of the UK’s most popular online marketplaces, offering users a simple and effective way to buy, sell, and connect within their local communities. Founded in 2000, Gumtree has become a trusted brand with millions of users across the UK, championing re-commerce and supporting local trading. With more than 1.8 million live ads at any one time, it’s not surprising that more than 10 million people visit the site every month to find what they need locally, affordably, and sustainably. Visit www.gumtree.com  and follow @GumtreeUK (Instagram) and @Gumtree (Twitter) to join the conversation.

About Trigg Digital

Trigg Digital is a leading strategic Data, CRM and AI consultancy, leveraging in-house expertise, industry know-how and best-in-class Salesforce capabilities to help clients go further, faster, across the UK, Europe, Canada, USA and APAC. For more information on Trigg head over to www.triggdigital.com.

We’re very excited to announce that ASOS, the go-to destination for fashion-loving 20-somethings, has established a strategic partnership with Trigg Digital, a global Salesforce AI CRM consultancy with a fast-growing portfolio spanning UK, Europe, Canada, USA and APAC. The partnership will see the launch of a unified next-gen retail media platform to scale its media network powered by Salesforce, AI and Agentforce.

Harnessing ASOS Media Group’s (AMG) growth plans and Trigg’s cutting-edge Data, CRM, AI, and Retail Media expertise, together, we will power deeper insights, enhance operational efficiency, improve campaign performance and measurement, maximise data-driven monetisation and deliver best in class experiences for consumers, advertisers, brand partners and employees.

Elton Ollerhead, Director of ASOS Media Group, shared: “Our partnership with Trigg Digital marks another step forward for ASOS Media Group, helping us to create a better experience for our brand partners and our customers.”

Steven Paul, CEO, Trigg Digital, added: “We’re thrilled to collaborate with ASOS and the AMG team on this transformative journey to elevate ASOS’s retail media eco-system with Salesforce, AI and Agentforce at the core.”

About ASOS

Founded in 2000, ASOS has 20m active customers in over 200 markets. We bring fashion lovers around the world the best and most relevant fashion through our unique own brands including ASOS DESIGN, ARRANGE, COLLUSION, Topshop, and Topman, styled with the most exciting products from local and global partner brands. With our expert in-house design team and agile and flexible commercial model, including ASOS Fulfilment Services, Partner Fulfils, and Test & React, we make the latest trends accessible to all and give customers the confidence to be whoever they want to be.

About ASOS Media Group

ASOS Media Group (AMG) is ASOS’s Retail Media Network. AMG connects partner brands with millions of ASOS’s customers through tailored advertising, innovative content partnerships, and data-driven campaigns. Using inhouse creative in ASOS’s tone of voice, and by harnessing ASOS’s deep understanding of consumer behaviour and trends, AMG helps brands build authentic connections and drive meaningful engagement with one of the world’s most influential demographics.

About Trigg Digital

Trigg Digital is a leading strategic Data, CRM and AI consultancy, leveraging in-house expertise, industry know-how and best-in-class Salesforce capabilities to help clients go further, faster, across the UK, Europe, Canada, USA and APAC.

About mediaNXT by Trigg

mediaNXT is Trigg Digital’s specialist retail media practice as this high margin capability is rapidly expanding across all sectors, as seen in Retail Media, Travel Media, Finance Media, Sports Media and more. We obsess about simplifying complex ad sales, ad operations and campaign management processes and technology. We power new monetisation opportunities, scalability, and high-margin growth – enhancing consumer, client and employee experiences, driving smarter decisions, and delivering measurable outcomes to ensure our clients stay ahead in a rapidly evolving market.

For more information on Trigg’s Retail Media Solutions head over to www.medianxt.ai

We’re proud to announce that we have joined forces with Lit Fibre, one of the UK’s fastest-growing full-fibre broadband providers, delivering ultra-reliable and lightning-fast internet to homes and businesses, to maximise operational efficiency and empower their customer service agents with Salesforce Agentforce! 🎉

Our partnership is focused on three key pillars:

😊 Improving the customer renewal experience
📦 Streamlining order management for faster and more efficient turnaround times
🌟 Empowering employees to achieve service excellence

As a Salesforce Summit Partner, Trigg Digital brings deep experience in customer service transformation, agent enablement, and operational optimisation. For Lit Fibre, we will deliver:

• Strategic design of Agentforce-led service journeys
• Scalable service and operational architecture
• Adoption-focused implementation that drives real business outcomes

The result is not just a system deployment, but a platform that evolves with the business.

Tom Williams, CEO of Lit Fibre, shared: “Our partnership with Trigg and the implementation of Salesforce’s Agentforce is a game-changer for our business. It allows us to elevate our customer experience by empowering customer service agents while improving operational efficiency. Together, we’re setting the stage for sustainable growth.”

We’re Now a Salesforce Summit Partner!

We’re thrilled to share some exciting news — Trigg Digital has officially reached Salesforce Summit Partner status, the highest level of recognition in the Salesforce Partner Program. This achievement places us among the top 0.5% of partners worldwide and reflects our dedication to delivering world‑class Salesforce solutions for our clients.

What Is Salesforce Summit Partner Status?

Salesforce Summit Partner is the highest tier in the Salesforce Partner Program. It’s awarded to consultancies that consistently demonstrate:

• Exceptional customer satisfaction and project success
• Deep technical expertise across multiple Salesforce Clouds
• Proven delivery excellence and innovation at scale

It’s not just a badge — it’s an independent confirmation that Trigg Digital delivers transformational Salesforce solutions that drive measurable impact.

How We Got Here

Our journey to Summit Partner has been built on:

• Client Success: Delivering measurable results for global brands across retail, media, and enterprise sectors.
• Expertise: Investing in our people, with a team certified across Sales, Service, Marketing, Experience, Data Cloud and more.
• Innovation: Leveraging Salesforce Einstein AI, Data Cloud, and our own AI‑driven frameworks to help clients stay ahead.
• Partnership: Building long‑term relationships where our success is defined by our clients’ success.

A Thank You to Our Team, Partners and Clients

We couldn’t have achieved this milestone without the commitment and talent of the Trigg Digital team and the trust of our clients and partners. Every project, every challenge, and every success has brought us here.

What’s Next?

Our Summit Partner status is not the finish line — it’s the launchpad. We’ll continue to innovate, invest in our team, and work side‑by‑side with clients to push the boundaries of what’s possible with Salesforce.