Home/Embedded AI GTM
01 Embedded AI GTMStrategy + implementation

Strategy, implementation, and the capability to keep going without us.

Most B2B teams are somewhere between curious and committed on AI in their go-to-market. The gap we keep seeing is ownership: someone who can turn the experiments into a system the whole team actually uses. That's what we offer. A board-ready view of where AI changes your motion, the builds that follow, and then a handover to someone inside your team.

From £3k
Diagnostic, 1 to 2 weeks
From £8k
Per scoped build
£45k
6-month GTM Engineer programme
One practice
Strategy and implementation together
How we work

Two rules everything is built on.

Rule 01

AI in service of the business. Not the other way around.

Most AI implementation fails the same way. There's no clear answer to "which commercial number is this meant to move". We don't run any work that doesn't have one. Every project, every build, every conversation traces back to a commercial challenge or opportunity. The AI is the tool. It's never the point.

Rule 02

Make AI work for your GTM team. Not your GTM team work for the AI.

You shouldn't end up with a more complicated workflow than you started with. Your reps shouldn't be clicking through 3 new tools to land at the same outcome. The end state has to be less friction, better outputs, clearer commercial impact. If the AI doesn't deliver that, it shouldn't be in the stack.

The problem

Most teams already know AI changes things. They don't know what to change first, and nobody owns it.

We get a version of the same conversation every week. The CEO wants an AI plan. The CRO has run 3 pilots that haven't gone anywhere. RevOps has a Notion doc of 40 tools. Marketing has bought 2 of them. Sales is using ChatGPT in private and not telling anyone.

The team isn't lazy and isn't behind. They're surrounded by signal and short on prioritisation. There is no one whose job it is to look across the whole motion, work out where AI rewrites the playbook and where it doesn't, and then actually build the thing.

That gap is awkward to fill. A dev agency builds you software but doesn't know your go-to-market. A consultant writes you a strategy but doesn't ship anything. A junior in-house can prompt their way through a small piece but stalls the moment it needs an integration, a database, or a real user. We do the strategy and the build, which is the only way the plan survives contact with the stack.

The engagement

Three stages. You can stop after any of them.

Each stage stands on its own and is priced on its own.

Stage 1
From £3k

Diagnose. A fast, opinionated deep dive.

1 to 2 weeks. Stakeholder interviews across sales, marketing, RevOps and customer success, plus time inside the system and the data rather than just in meetings. Then we map your motion against what AI actually changes today and shortlist the work worth doing.

  • Deep-dive interviews across the go-to-market org
  • Quantitative pull from your CRM and analytics stack
  • Review of existing AI pilots, tooling spend and shelfware
  • The diagnostic memo. 6 to 8 pages on where your motion is today and where AI changes the shape of the playbook
  • The opportunity shortlist. An ICE-scored table of the top projects, each tied to a commercial outcome with an owner, a rough cost and a success metric
  • The build-vs-buy view. What to keep, what to retire, what to build, what to buy. Most teams need fewer tools than they're paying for
  • The next-steps recommendation. One page on what to do after the diagnostic
Stage 2
From £8k

Build. We scope it, we build it, your team owns it.

Fixed scope, fixed fee, 2 to 8 weeks per build. You see the scope before you commit and the working build before the final payment. Source, prompts, configs and a written runbook on handover. No retention, no lock-in, no licence fee.

  • Custom skills and agents. Tuned to your workflow, your data, your voice. Account research that writes a one-pager from your CRM. Cold-call coaching that scores transcripts against your team's best practice. An outbound writer that hits your tone
  • Workflow automations. The plumbing across CRM, calendar, comms, warehouse and analytics. Transcript to CRM activity to Slack summary. Inbound lead to enrichment to qualification to routing
  • Internal apps. Lightweight tools for the workflows with no good off-the-shelf option. Daily prospecting briefs, meeting-prep dashboards, pipeline hygiene tools for the weekly review
  • Signal engines. The machinery that watches your target accounts for funding, hiring, leadership change and intent, scores it, and decides who gets contacted and when. It's what runs our own outbound
  • Connectors and MCP wiring. Where the AI needs to read or write to your systems, with the right auth and the right guardrails
Stage 3
£45k / 6 months

Build new internal capability. Your Champion becomes the GTM Engineer.

Hiring a GTM Engineer right now is a slog. The candidates barely exist, the ones who do command £120k+, and even a good hire takes 6 months to ramp into your stack. The faster move is to take someone already inside the business who's curious, technical-leaning and close to the revenue motion, and train them up. That's this programme.

  • Months 1 to 2, build together. Weekly 90-minute 1:1s, joint builds, first team-wide AI literacy sessions, audit and clean-up of existing pilots
  • Months 3 to 4, solo builds with backup. They lead, we review. 3 to 4 mid-size builds, first production workflows rolled out, mid-programme review with leadership
  • Months 5 to 6, independent operation. They own the build backlog and the team's AI literacy programme and report into leadership directly. We move to advisory, then out
  • What they can do by month 6. Scope a build from a vague leadership ask. Ship a working skill or agent and get it adopted. Wire AI into the stack with the right guardrails. Audit and ICE-score any workflow. Train the team. Brief leadership on one page
  • Daily Slack and email support throughout, monthly written progress updates for leadership, one follow-up audit at month 9 at no extra fee
Alongside, optional

Ongoing strategic support.

After the diagnostic most teams know what they want to do. They don't always have the senior firepower to keep it tied to commercial outcomes once the work starts. No fixed duration, cancel with 30 days' notice.

From £3k per month

  • Fortnightly 1:1 with whichever leader owns the AI work
  • Monthly review of the project list against commercial outcomes
  • Slack and email access during working hours
  • Quarterly leadership working session, run by us
Pricing

Everything priced up front.

Scope is agreed and written down before any money changes hands. No retainer creep, no hidden fees. UK businesses billed in GBP, international in USD or EUR.

Stage 1
From £3k
Deep dive diagnostic, 1 to 2 weeks
  • Interviews across the go-to-market org
  • CRM, analytics and tooling audit
  • Diagnostic memo, 6 to 8 pages
  • ICE-scored opportunity shortlist
  • Build-vs-buy view and next steps
  • Standalone. Stop here if you want to
Stage 2
£8k to £25k
Per scoped build, 2 to 8 weeks
  • Small, £8k. One skill, agent or workflow, end to end
  • Standard, £15k. A small internal app or multi-step agent with connectors
  • Large, £25k+. A full system with production auth, logging and deeper integrations
  • Fixed fee, written scope, weekly check-ins
  • You own the source, prompts and docs
  • 50% on sign-off, 50% on handover
Stage 3
£45k
GTM Engineer programme, 6 months
  • Weekly 90-minute 1:1 coaching for 6 months
  • Team-wide upskilling sessions
  • All assets built during the programme, yours
  • Monthly leadership updates, quarterly working session
  • Follow-up audit at month 9, no extra fee
  • Billed in 3 instalments: kickoff, month 3, month 5
Compare the alternative. A senior AI GTM Engineer costs £120k+ fully loaded, plus 6 months of ramp. A fractional CRO or consultant often hits £120k+ over the same period and the capability leaves when they do.
Who it's for

Best fit, worst fit.

The right fit makes this work. The wrong fit wastes everyone's time. We'll be direct about it on the call.

Best fit
  • Series A to C, £2m to £30m ARR, sales-led or hybrid motion
  • Someone senior is on the hook for the commercial outcome
  • Teams already trying things with AI but stuck in pilots
  • Internal tools the team will use, not customer-facing software
  • For the programme: at least one obvious Champion candidate, and a manager who has agreed to free their time
  • You've tried hiring a GTM Engineer externally and it hasn't worked
Not a fit
  • Customer-facing product features. Use your product team
  • Regulated builds: clinical, fintech-licensed or KYC-heavy workflows
  • Net-new SaaS products you're trying to launch
  • Mission-critical 24/7 infrastructure. We don't run on-call rotations
  • Teams with nobody technically curious or close to revenue
  • Anyone hoping we'll just do the AI bit rather than build the capability
Common questions

Before you sign anything.

Do I have to start with the diagnostic?+

No, although it is highly recommended. If you know what you want built and it's commercially worth doing, brief us and we'll go straight to a scoped build. The diagnostic is for teams who don't yet know what to change first, or who need a board-ready view before they commit budget.

Who owns the code and the prompts?+

You do, from the moment it ships. Source, prompts, docs, configs, all of it. No retention, no lock-in, no licence fee. The whole point is that the capability lives in your team.

How much of the Champion's time does the programme take?+

Roughly 40% of their working week across months 1 to 4, dropping to 25% in months 5 and 6 as they move into solo operation. If their manager won't release that much time, the programme will struggle. Best to surface that on the discovery call.

What if the Champion leaves halfway through?+

It happens, and there's a clause for it. Inside the first 60 days you can swap them out at no cost. After that the engagement either continues with a new Champion at a reduced fee, or pauses for up to 90 days while you find one. Written into every contract.

What if scope changes mid-build?+

It will. Small changes get absorbed. Bigger ones get a written change order with a revised fee and timeline. No surprise invoices, ever.

Do you guarantee outcomes?+

We guarantee what we can control: the time, the coaching, the assets that get built, the training, the documentation. We can't guarantee your team's effort, a manager's support, or whether the wider team adopts what gets built. Both halves have to do the work. We'll tell you on the call whether we think the conditions are right. And we will track the measurable outcomes from initial baseline to be transparent about the impact.

How quickly can we start?+

Diagnostics and small builds usually within 2 to 3 weeks. The 6-month programme usually 4 to 6 weeks, because we run a small number at a time. If you need to start sooner, say so on the call and we'll be straight about the calendar.

Book a discovery call

Tell us where the AI work has stalled and who, if anyone, owns it today. We'll tell you which stage to start at, whether the ABM programme is the better fit, or whether we'd send you elsewhere.

hello@aigtmstudio.com