AI Engineering Operating Model Assessment

Your teams are building with AI. Who's deciding how?

A two-week, fixed-fee assessment for product and engineering leaders. We map how your organisation really uses agents, connectors and models today, then hand you the standards, guardrails and 90-day roadmap to scale it safely.

Register interest Founding cohort limited to five organisations.
The pattern

Adoption moved faster than the operating model.

Teams are shipping agents and internal tools with AI. That's the good news. The questions nobody owns yet are what keep CTOs and CPOs up at night.

Shadow agents

Agents reaching production data with no review path and no named owner.

Connector sprawl

MCP connectors, API keys and permissions granted team by team, ad hoc.

No line of sight

Little visibility of what agents actually do, how well, or what they cost.

Vendor drift

Several model providers in use and no standard for when to use which.

What we assess

Six areas. One honest scorecard.

01

Skills and reusable patterns

Are teams packaging what works so it's reused, or reinventing it in every repo?

02

Connectors and data access

Which MCP connectors exist, what data they reach, and who approved them.

03

Agents and orchestration

How agents hand work to each other and to people, and where it can go wrong.

04

Observability and evaluation

Whether you can see, measure and test what your AI systems are doing.

05

Security and data exposure

Permissions, secrets, prompt-injection exposure and what leaves your boundary.

06

Cost and token economics

Who owns AI spend, how it's tracked, and where it's quietly growing.

Independent by design: our recommendations aren't tied to any model provider. We work across the Anthropic, OpenAI and Microsoft stacks.

What you get

Decisions, not a slide of buzzwords.

Everything is written for two audiences: the teams who'll implement it, and the board who'll ask what it means for risk and cost.

  • Maturity scorecardWhere you stand across all six areas.
  • Agent and connector inventoryWhat's running, what it touches, who owns it.
  • Prioritised risk registerThe handful of issues worth fixing first.
  • Reference operating modelStandards, approval paths and ownership.
  • 90-day roadmapSequenced, owned, realistic.
  • Board-ready summaryOne page on risk, cost and opportunity.
How it works

Two weeks. Light on your team.

WEEK 1

Discover

Short interviews with product, engineering, security and finance leads. We build the inventory of agents, connectors, tools and spend.

WEEK 2

Assess and recommend

Scoring, gap analysis and the operating model, presented to your leadership team with the roadmap and board summary.

OPTIONAL

Implement

Hands-on help putting the standards in place, plus team training where it's useful. Scoped only if you want it.

Who it's for

CPOs, CTOs and VPs of Engineering at B2B software and tech-enabled companies whose teams are already building with AI, and want it to scale without surprises.

Who runs it

A senior AI engineer, a product lead and an executive sponsor: practitioners who have led product and architecture at enterprise scale, and who build with these tools every week.

Fee

Founding-cohort fee: £12,500 + VAT
Fixed price for the full two-week assessment. Available to the first five organisations.

Founding cohort

Register interest

Tell us a little about where you are. We'll reply personally within two working days to arrange a 30-minute call.

No mailing list. Your details are used only to respond to you. See our privacy notice.