Every Enterprise Resource Planning (ERP) vs Agentforce Revenue Management (ARM) revenue control debate eventually lands in the same place:

“Shouldn’t ERP just handle this?”

It’s a logical instinct, because fewer systems feel safer and control feels clearer.

In practice, this assumption is one of the most common reasons revenue transformations stall.

The Problem Isn’t ERP — It’s Role Confusion

ERP systems are built to protect the business. They deliver accounting accuracy, compliance, and auditability. They create financial truth.

They are not designed to govern commercial decision-making.

When ERP is pushed into roles it was never built for — dynamic pricing, deal flexibility, customer-specific exceptions — organisations pay the price in slow change, brittle customisation, and frustrated commercial teams.

This isn’t a technology failure.
It’s an ownership failure.

We see this pattern repeatedly in large-scale commercial programmes, particularly where ownership of pricing and deal logic is unclear — a theme we explore further in Why Most CPQ Programmes Fail at Scale.

This is the core misunderstanding at the heart of the ERP vs ARM revenue control conversation.

Revenue Has Two Control Requirements

At its core, revenue operates across two distinct domains.

One is commercial: intent, negotiation, flexibility, speed.
The other is financial: recognition, compliance, certainty.

As a result, trying to force both into a single control point creates tension rather than clarity. Sales teams push for agility. Finance teams push for control. The system becomes the point of conflict.

What boards experience as “complexity” is often simply unclear ownership inside the architecture.

This is why revenue is no longer just a workflow — it is an operating model in its own right, as outlined in Revenue Is No Longer a Process — It’s an Operating System.

What High-Performing Revenue Models Do Differently

In practice, the most effective revenue organisations separate responsibility cleanly.

CRM captures demand and customer context.
ARM governs commercial intent, pricing logic, and policy.
ERP executes financial truth.

Each system does what it’s best at — no more, no less.

This separation reduces delivery risk, accelerates change, and builds trust between commercial and finance teams. It also avoids the downstream failures that often appear when billing and recognition are forced to absorb commercial complexity — a breakdown we unpack in Billing Is Where Revenue Transformations Go to Die.

In an ERP vs ARM revenue control model, this separation is what allows speed and governance to coexist.

Why This Matters Even More With AI and Agents

As organisations introduce AI and agent-led workflows, ambiguity becomes a liability.

By design, agents move fast. If logic is duplicated or ownership is unclear, errors scale quickly and accountability becomes harder to trace.

In this world, ARM acts as the control plane — ensuring decisions remain within defined commercial guardrails before execution in ERP.

ERP remains the system of record, while ARM becomes the system of decision.

That distinction is what enables speed without sacrificing control.

There Is No Universal Architecture

Some organisations extend their existing stack. Others replace specific components. Many land somewhere in between.

The right answer depends on how your business sells, how much flexibility you need, and where governance must sit.

At Trigg, we help leadership teams design revenue operating systems that reflect reality — complementing existing technology where it works, and replacing it where it doesn’t.

The goal is not consolidation for its own sake. Instead, it is clarity.

Executive Takeaway

Ultimately, ERP is essential to revenue transformation.
However, it is not the control plane.

Treating it as such slows innovation and increases risk — the opposite of what leaders intend.

The goal is not fewer systems. Rather, it is clear responsibility, governed autonomy, and a revenue operating model built for scale.

Designing Your Revenue Control Plane

Every organisation starts from a different place.

Some need clearer ownership across CRM, ARM, and ERP.
Others need to modernise legacy commercial layers.
Many need an operating model that is ready for AI-driven execution.

At Trigg, we help organisations define and implement revenue operating systems that scale — with governance designed in from day one.

If you’re reassessing revenue architecture, start with clarity — not consolidation.

Request a Revenue Operating System Assessment today.

Most revenue transformations don’t fail in technology.
They fail in behaviour.

New platforms go live. Automation works. Dashboards light up. Yet months later, the same patterns reappear: sales teams bypass the system, deal desks quietly return, finance runs shadow controls, and AI agents are switched off or ignored.

This isn’t resistance.
It’s what happens when organisations fail to design change properly.

At Trigg, we see revenue transformation fail not because the platform is wrong — but because decision ownership, autonomy, and governance are never designed together.

Software executes decisions. Behaviour determines whether those decisions stick.

Transformation Fails in Behaviour, Not Software

Modern transformation programmes are very good at shipping systems.

They are far less effective at reshaping behaviour.

Dashboards lighting up does not mean teams have changed how they make decisions.
Automation running does not mean teams trust the system.
AI can make recommendations, but people won’t follow them without trust.

What breaks isn’t the tooling — it’s the gap between how decisions are supposed to be made and how people actually make them under pressure.

That gap is a change-management problem.

Revenue Transformation Changes Decision-Making

Agentic revenue models don’t just improve efficiency. They change who decides.

Who can approve pricing.
When exceptions are allowed.
How renewals are triggered.
Which actions happen without human involvement.

That’s not just a system change — it reshapes the organisation.

When leaders don’t make decision boundaries explicit, teams default to familiar behaviours. Not out of defiance, but because ambiguity feels risky in revenue-critical moments.

Why Traditional Change Management Breaks Down

Most change programmes assume roles stay broadly the same, systems support people, and governance remains static.

Agentic revenue breaks all three assumptions.

Agents recommend, initiate, and enforce actions automatically. Without deliberate design, teams experience this shift as a loss of control rather than progress. People push back quietly by creating workarounds instead of confronting the change.

This is why revenue transformations most often collapse at the point of billing and execution — not strategy.

The Signals Change Was Never Designed

When organisations fail to manage change at the decision level, the same symptoms appear.

Sales teams create “one-off” exceptions that quickly become the norm.
Deal desks grow instead of shrinking.
A single unexplained AI decision undermines trust in the entire model.

Technology isn’t the problem. They signal that the organisation never adapted to the new way teams make decisions.

What Effective Change Looks Like in Practice

Successful organisations treat change management as a design discipline, not a communications exercise.

They make decision rights between humans and agents explicit. They introduce autonomy gradually, earning trust over time rather than demanding it at go-live.

And they focus on adoption as behaviour change, not feature usage.

The Leadership Imperative

Leaders cannot delegate change management.

When leaders remain ambiguous about agent-based revenue models, teams read that ambiguity as permission to revert. Visible executive sponsorship — of decision boundaries, accountability, and new ways of working — is what makes agentic revenue stick.

Executive Takeaway

Revenue transformation fails when organisations automate execution without first designing how decisions are made. Effective transformation requires leaders to:

• Make decision rights explicit across humans and agents
• Introduce autonomy progressively, with trust earned over time
• Embed governance upstream in the operating model, not after execution

When behaviour, governance, and systems are designed together, transformation becomes durable.

When they are not, teams revert to workarounds — regardless of how advanced the technology is.

This is the design principle behind how Trigg helps organisations build governed, agent-ready revenue operating models — where change is engineered into the system, not left to chance.

Most revenue programmes look successful at go-live.

In a billing revenue transformation, that confidence often holds — until billing starts.

Quotes are faster.
Sales adoption is high.
Dashboards look impressive.

However, billing starts.

Invoices don’t match expectations.
Credits pile up.
Disputes consume Finance and Sales alike.

And quietly, confidence in the entire transformation erodes.

What looked like progress begins to feel fragile. Not because the vision was wrong — but because the hardest part of revenue was deferred.

Why CFO Confidence Collapses at Billing

From a finance perspective, most revenue transformations don’t fail because automation was a bad idea — they fail because billing is where risk finally becomes visible.

Upstream, everything looks healthy:

• Forecasts assume best-case behaviour
• Automation accelerates pricing and approvals
• Dashboards signal progress and adoption

But once billing begins, Finance inherits decisions that are already locked:

• Pricing logic is fixed
• Discounting behaviour is entrenched
• Billing complexity is unavoidable

At that point, invoices stop matching expectations.
Credits accumulate.
Disputes multiply.

What looked like momentum upstream becomes exposure downstream.

CFO scepticism isn’t resistance to change.
It’s resistance to uncontrolled, unrecoverable risk.

Finance isn’t reacting to automation — it’s reacting to the moment when upstream decisions become financially irreversible.

This pattern is explored in more depth in our CFO’s Guide to Agentic Revenue, which looks at how governed autonomy prevents these downstream failures before they reach billing.

Why Billing Breaks Revenue Transformation

Billing rarely gets attention early because:

• It’s complex
• It’s cross-functional
• It doesn’t feel “strategic”

These factors push billing downstream in programme design — even though it’s the first place customers and cash feel the impact.

Yet billing is where revenue intent becomes customer reality.

Every discrepancy is visible.
Each error damages trust.
Over time, disputes delay cash.

If revenue is an operating system, billing is its moment of truth.

The Hidden Cost of Billing Failure

When billing isn’t deliberately designed into revenue transformation, the consequences cascade:

• Finance absorbs manual effort
• Sales firefights instead of selling
• Customers lose confidence
• Cash cycles lengthen

As a result, none of these show up clearly in the original business case.

All of them show up in month-end close.

Worse, teams often blame these failures on “process” or “training” — rather than the architectural gaps that created them.

Why Legacy Models Break Down

Traditional revenue models assume:

• Billing follows contracting cleanly
• Products behave predictably
• Usage changes are rare

In practice, those assumptions no longer hold.

Modern revenue violates all three.

Subscriptions upgrade mid-term.
Usage fluctuates daily.
Entitlements change continuously.

Without a system that deliberately orchestrates these changes, billing chaos isn’t an exception — it’s the default.

The Role of ARM in Billing Revenue Transformation

Agentforce Revenue Management doesn’t always replace billing systems.

It makes them reliable.

ARM creates a governed layer between commercial intent and financial execution by governing what can be sold, tracking changes to entitlements, coordinating amendments and renewals, and explaining billing outcomes transparently.

As a result, ARM reduces invoice errors, credit volumes, and dispute cycles — while improving customer trust, cash predictability, and finance credibility.

Billing stops being reactive — and becomes explainable.

That explainability is what allows Finance to trust automation at scale.

Billing Is a Design Problem, Not an Execution One

Most billing failures don’t originate in billing.

They originate in upstream decisions that were optimised for speed rather than control.

Common root causes include unclear pricing logic, inconsistent amendment handling, and missing policy enforcement.

By contrast, fixing billing downstream is expensive.

Designing revenue correctly upstream is not.

What Leaders Get Wrong

The most dangerous assumption in revenue programmes is simple:

“We’ll fix billing later.”

By that point, trust has already been lost.

Leaders must co-design billing with pricing, contracts, and agents — or billing will expose every shortcut taken upstream.

Executive Takeaway

You can automate quoting.
You can optimise contracts.
And you can deploy agents.

But if billing doesn’t work, none of it matters.

If billing feels fragile, it’s usually because revenue was designed for speed before it was designed for control.

The organisations that scale confidently treat billing as a design decision — not a downstream fix.

If this resonates and you’re reassessing how billing, pricing, contracts, and automation fit together, get in touch with the team at Trigg.

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.

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.”

In today’s fast-paced Retail Media landscape, delivering a successful omni-channel campaign requires more than just effort, it demands strategic collaboration, precise real-time performance monitoring, and agile optimization to maximise return on ad spend.

Meet the Trigg Retail Media Performance Agent – crafted to empower sales and ad ops teams with unparalleled control over their campaigns:

⚡ Campaign Summaries: Real-time actionable insights to address pacing and performance issues instantly

🎯 Transparency: Keep teams aligned, informed, and empowered with timely updates that drive smarter decisions

⏱️ Save Time: Automate reporting and alerts to focus on high-value strategic initiatives

🔄 Stronger Collaboration: Accelerate response times and engagement via #Slack, MS Teams, email, or self-serve

Say goodbye to manual reporting, misaligned teams, and juggling multiple tools. Take the leap to smarter, faster, and more effective campaign management. Discover the difference today!