Embedded AI Leadership
We don't advise from the sidelines. We embed as senior technical leadership — the same people who shipped AI at Amazon and JPMorgan — and we build alongside your engineers until it's live.
30 minutes. No pitch deck. Just a straight conversation about whether AI fits your business.
Your board wants an AI strategy. Your investors want AI on the roadmap. Your competitors are shipping features you haven't started building. Meanwhile, you're stuck.
You've run proofs of concept. Maybe a hackathon. Maybe an expensive prototype from a consultancy. None of it reached production. Six months and £200K later, you have a demo that lives on someone's laptop.
Senior AI leadership — the kind who've actually shipped — costs £250K+ and takes 6 months to find. You don't have 6 months. Your PE backers are asking for results this quarter, not next year.
You've seen the Big 4 playbook: twelve weeks, a 90-page PDF, and a recommendation to 'build an AI Centre of Excellence.' That's not a strategy. That's expensive wallpaper.
Your engineers aren't the problem. They're smart, they're motivated, and they can build. What's missing is a senior technical leader who's done this before and can point them in the right direction.
Free Resource
Find out if your data, team, and infrastructure are ready for AI. Free. Takes 5 minutes.
The Process
Week 1–2
Within two weeks, you'll know exactly which AI use cases will move revenue and which are science projects.
Week 3–4
Prioritised roadmap tied to business outcomes — not tech trends. Success metrics agreed before a line of code is written.
Week 5–12
Not a prototype. Not a demo. Production-grade, deployed, monitored, and maintained by your engineers.
Within two weeks, you'll know exactly which AI use cases will move revenue and which are science projects.
Prioritised roadmap tied to business outcomes — not tech trends. Success metrics agreed before a line of code is written.
Not a prototype. Not a demo. Production-grade, deployed, monitored, and maintained by your engineers.
| Big 4 Consultancy | Hiring Full-Time AI Lead | TechLevity Embedded | |
|---|---|---|---|
| Time to value | 12–16 weeks for strategy deck | 6+ months to hire, 3+ to ramp | 60–90 days to production |
| What you get | 90-page PDF | One person learning your business | Senior leadership + shipped AI feature |
| Cost | £150K–£500K strategy only | £250K+/yr salary + equity | Engagements from £25K |
| Production guarantee | 100% reach production | ||
| Knowledge transfer | Slides handed to team | Single point of failure | Full team training + docs |
| After they leave | You still need to build it | Hope they don't leave | Your team owns it |
| Who does the work | Junior analysts | One hire, alone | Ex-Amazon, ex-JPMorgan engineers embedded with your team |
See if embedded AI leadership is right for your situation.
Book a Discovery CallAI projects shipped to production
Years at Amazon, JPMorgan scale
Engagements shipped to production
Track Record
A payments company with a large engineering team had spent months on an ML fraud model in a Jupyter notebook. We embedded for rapid delivery, rebuilt the pipeline on production infrastructure, and shipped real-time fraud detection that achieved significant fraud reduction in its first quarter.
A high-growth healthtech company needed to automate clinical document review — high-volume document processing handled manually each week. We shipped a clinical NLP pipeline that automated the majority of classification, achieving a dramatic reduction in processing time per document. Delivered in under 90 days.
A product analytics company wanted AI-powered recommendations. Months of previous vendor effort had delivered a prototype that couldn't handle production load. We rebuilt on their existing infrastructure and shipped a recommendation engine that drove a measurable engagement improvement.
We work with a specific type of company. Here's what they look like.
Series B FinTech, 80 engineers
Board pushing for AI-driven underwriting. Two pilots — neither shipped. CTO stretched across platform and product.
PE-backed HealthTech, £20M ARR
Investors added 'AI strategy' to the 100-day plan. Need production results, not another advisory retainer.
B2B SaaS, 40 engineers, no ML team
Know AI could transform the product but don't have senior leadership to make the right bets.
£30M services business
Losing deals to competitors who've automated. Team is ready — just needs direction.
100% of our engagements have reached production. We guarantee yours will too.
If we don't ship a working AI feature within the agreed engagement period, we continue working — at no additional cost — until it's live.
That's not a marketing claim. It's a contractual commitment.
Investment
Engagements typically start at £25,000 for a focused 90-day embedded engagement.
Every engagement includes: audit, strategy, build, and handoff. No hidden phases.
30-minute discovery call. No commitment. No pitch deck. Just clarity.
Book a Discovery CallNot ready for a call? Download the AI Readiness Scorecard →