Engagement models

Published prices. Smallest step first.

We agree the change, the owner and the acceptance criteria before adding team size or duration. Every engagement can start with ten days and stop there.

Start an AI Optimization AuditHow we work

Start here

Every AI workload metered. One of them already fixed.

Provider invoices arrive as one number, so most companies cannot say which feature is costing them what, or where their data crosses a boundary. The first week answers both and ranks what is worth changing. The second week changes one of them, so you finish holding a measured result rather than a recommendation.

$4,00010 working days · credited in full against a sprint

If nothing is live and measured at the end of day ten, there is no invoice.

Start an AI Optimization Audit
AI optimization audit 10 working days
  1. Days 1–2
    MeterWe instrument what you already run. Every AI workload, what it costs per call and per month, which model it uses, who is paying for it, and the spend nobody has attributed to a team yet.
  2. Days 3–4
    RankEach workload scored on what it costs, what it would take to make cheaper, and how exposed it is — including an assessment against the OWASP GenAI LLM Top 10 2026 and a note of where your data leaves your network.
  3. Day 5
    ChooseYou and your sponsor pick the first target. We tell you which one we would pick, and which ones we would leave alone because the saving does not justify the change.
  4. Days 6–9
    ImplementWe build one of them for real, in your environment: a routing and caching layer, a redaction gateway, or one workload moved to a self-hosted open-weight model.
  5. Day 10
    Hand overThe measured before-and-after on your own numbers, the ranked backlog of everything we did not touch, and a fixed-price sprint quote with named owners and acceptance criteria.
Ends with a measured before-and-after, a fixed-price plan and written acceptance criteria.

Engagement models

Published prices. Smallest step first.

Every engagement starts with the cheapest reversible commitment and expands only after a change is live and measured.

Start here10 working days

AI Optimization Audit

$4,000Flat priceCredited in full against a sprint

Ten days on your actual AI spend and exposure. Every workload metered, ranked by what it costs and what it risks, and the top one already rebuilt cheaper, safer or in your own environment. If nothing is live and measured by day ten, there is no invoice.

  • A metered map of every AI workload and what it costs
  • Versioned OWASP findings register and data-boundary review
  • One change built and measured in your environment
  • Fixed-price sprint quote and acceptance criteria
Flagship4–6 weeks

AI Optimization Sprint

$28,000–$75,000Fixed price, set in the auditYour number is agreed before the sprint starts

A senior team takes the ranked backlog through to production: the routing and caching layer, the guardrail gateway, or the move to models you host yourself. We will not quote a sprint before the audit. Ten days inside your systems turns an unknown into a fixed price you can approve.

Where you land in that range depends on:

  • How many AI workloads and providers are in scope
  • Whether usage is already instrumented, or has to be from scratch
  • Whether a compliance, residency or human approval path is required
  • Whether models move into your own environment, and how many
  • Embedded engineering lead and engineers
  • Weekly working releases behind evaluations
  • Routing, caching, guardrail or self-hosting work
  • Handover, training and operating runbook
Ongoing3-month minimum

Embedded AI Pod

From $18,000 / monthMonthly capacityTypically an engineering lead plus two engineers

You are buying a team rather than a scope: a dedicated pod working through a continuing backlog across several AI workloads, business units or locations.

  • Stable cross-functional pod
  • Optimization and new-workload capacity
  • Flat monthly commercial model
  • Spend telemetry and executive reporting
OperateMonthly

AI Operations

From $3,500 / monthMonthly, cancellableNo minimum term

Keeping the savings and the guardrails in place after the sprint: model prices move, providers deprecate, traffic patterns drift, and an unwatched routing layer quietly stops paying for itself.

  • Spend and drift monitoring
  • Re-tiering as model prices and options move
  • Guardrail and evaluation maintenance
  • Adoption and workflow iteration

What we need to begin

You don’t need to know where the spend is going yet.

That is what the first week meters. What we do need is someone who can open doors across departments, because AI spend is rarely all in one place, and a business willing to act on what the numbers say.

  • An executive sponsor who can open doors across departments
  • Access to your model provider billing, usage logs and the teams shipping AI
  • A result the business cares about: spend, risk, latency or data residency
  • Willingness to act on what the numbers say, including where they disagree with you

Straight answers

The questions buyers actually ask.

Need scope before a commercial decision?

Start with an AI Optimization Audit.

Ten days inside your systems meters every AI workload, ranks what is worth changing, establishes the owner and the acceptance criteria, and puts one change live and measured before anyone commits to a sprint.

Start an AI Optimization Audit