Our services

Your AI strategy is finished. The revenue number hasn’t moved.

We wire AI inside the revenue workflows of media, tech and telecom businesses — with a named owner, a governed approval loop, a pre-registered baseline and a measured lift. It’s the same discipline we run our own commercial engine on, daily.

Nearly 8 in 10 companies have deployed generative AI; roughly the same share report no material impact on earnings. The instinct is to reach for a better model. That instinct is wrong — the strategy was never the bottleneck. The wiring was.

80%+

of companies report no enterprise-level EBIT impact from AI — McKinsey, State of AI 2025
The Challenge

Where AI actually dies in the commercial layer

It’s almost never the model. Integration fails at four specific points:

  • No owner — A working group is not an owner. When no single P&L leader is accountable for the number the AI is meant to move, it stays an experiment forever.

  • No governance — The human-approval loop is missing. Without a governed signal-to-action loop, legal and brand teams veto deployment — and they’re right to.

  • No baseline — “Engagement is up” is not a lift. A pilot with no pre-registered baseline can’t prove impact, can’t earn budget, and dies in the pilot graveyard by default.

  • Not wired in — The tool sits beside the workflow instead of inside it. Adoption collapses quietly, and the licence renews anyway.

The consequence: Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027 — on cost, unclear value and weak controls. The cull will separate teams that built an operating model from teams that bought a tool.

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Outcome & Impact

We move you along one spectrum: from AI strategy to AI operating model.

When you engage AI-Enabled GTM Execution, you get three things most AI programmes never produce:

  • A named owner and a target — every AI initiative is attached to one accountable P&L leader and one revenue number, agreed before anything ships.

  • A governed loop your board can inspect — signals fire inside a live workflow; a human approves or rejects the action; every draft, verdict and approval is logged.

  • A lift finance accepts — impact is measured against a pre-registered baseline with guardrail metrics — not screenshots of engagement dashboards.

  • The integration spectrum — 1) pilot launched, applause collected · 2) tool purchased, workflows unchanged · 3) AI wired into one revenue workflow with an owner and a baseline · 4) governed signal → approved action → measured lift. Most companies sit at stage 1–2. The money lives at 3–4.

Our Approach

We don’t implement AI tools. We wire AI into the workflow that bills.

Four moves, in order — the same four points where AI dies when they’re skipped

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One P&L owner per initiative, a target on a revenue number, and decision rights and escalation agreed in week one. If nobody owns the number, we don’t start.

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Human-in-the-loop gates on every consequential action, escalation tripwires for pricing, legal and data-privacy topics, and a full audit trail. Governance is designed in — not bolted on for the compliance review.

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The pre-AI number, the counterfactual method and the guardrail metrics are agreed before launch — so the lift is provable and finance signs the result, not the enthusiasm.

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AI fires inside the systems your team already runs — CRM, engagement platforms, service desks. One workflow at a time: prove the lift, then scale to the next.

Our Difference

We run our own commercial engine on agents — so can you.

Our own pipeline — from market signal to booked meeting — is executed by production AI agents with deterministic quality gates and a human approving every send. The same discipline is what we wire into client engagements.

  • Rule-violating drafts cannot ship. Deterministic QA gates — not a style guide — enforce quality, and a human approves every outbound send and every publish. No autonomous sending.

  • Anti-fabrication by construction: numbers and case references come only from an approved proof registry. Missing data means the agent stays general — it never guesses.

  • Full audit trail: every draft, review verdict and approval is logged. When we wire the same discipline into your workflows, your team sees approval queues and telemetry — not a black box.

Human-in-the-Loop by Design — AI Augments, Not Replaces
GrowthBridge™ Methodology — AI Aligned to Business Outcomes
Embedded AI Specialists — Not Just Software Implementation

Start with the Commercial AI Integration Audit

We take one named revenue workflow, score it against the four failure points, place you on the integration spectrum, and hand back a remediation plan with an owner, a governance design and a baseline your finance team will accept. Fixed scope, senior-led, no obligation to continue.

Our services

Other services we offer

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Go To Market Strategy for Startups

01 · Understand

Go-To-Market Strategy

Choose the market, clarify the value and define the route to revenue.

Illustration: Proven Strategies for Startups and Scale-Ups

01 · Understand

Pricing Strategy

Build pricing, packaging and monetisation models aligned to customer value.

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02 · Accelerate

Sales & Business Development

Accelerate Pipeline Wins

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02 · Accelerate

Sales Infrastructure & Execution

Build a sales process the whole team can run and trust.

Handshake

03 · Scale

Partners & Channels

Turn signed relationships into an active partner revenue motion.

Expert team stock photo

03 · Scale

Revenue Operations

Optimize your Revenue Engine

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04 · Transform

GTM Accelerator

A structured multi-workstream growth program for TMT.

Success Cases

See How We Drive Growth

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FAQ

 

We don’t sell you another tool. We take the AI you have and wire it into one revenue workflow — with an owner, an approval loop and a baseline. Most engagements start by rescuing existing investments, not replacing them.

No. The work is integration, not rip-and-replace: AI fires inside the systems your team already lives in. If a tool genuinely can’t be wired in, the audit says so — that finding alone usually pays for it.

Trust is designed, not hoped for. Humans approve every consequential action, guardrail metrics protect quality, and reps see why a recommendation fired. Adoption follows control.

Because the baseline was captured before launch and the lift is measured against it. If your CFO asks what the AI did to a specific revenue number, you’ll have an answer.

One with a clear owner, a measurable number and repeat volume — renewals, upsell, pipeline qualification or retention are the usual candidates. Wire one, prove the lift, then scale to the next.

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Ready to move from AI strategy to AI operating model?

Start with a 60-minute working session — we’ll locate where AI dies in your commercial layer today. No cost, no obligation.