Honest review of where you actually are

AI Audit & Strategy

You've already built AI into the product or the business. Maybe it works, maybe it's expensive, maybe nobody knows what it's costing you. We do a structured audit: model usage, prompt quality, evaluation, infrastructure, costs, risks, and what to do about each. The output is a written plan — not a sales pitch.

2 wks
Audit timeline
fixed scope, fixed price
30–60%
Typical cost reduction
found in audit
0
Sales pitch
audit is decoupled from build work
What we deliver

Concrete outputs — not vibes.

Every engagement ends with artifacts you own — running code, infrastructure, and the documentation to keep building on it.

01

Inventory

Every AI workflow in your stack, what it does, how often, and on what model.

02

Cost analysis

$ per request, monthly burn, top spenders, opportunities for compression.

03

Quality assessment

Sample 200 real interactions. Score them. Find the failure modes.

04

Security review

Prompt injection, data leakage, jailbreak surface, PII handling.

05

Architecture review

Multi-model strategy, evals, observability, fallback paths.

06

Roadmap

Prioritized list of changes with effort, risk and expected ROI.

How we work

From brief to production.

A tight, repeatable path. You always know what's happening and what comes next.

Discovery

Read the code, read the logs, sit with the team using it.

Sample & score

Pull real traffic, build a small eval set, run scoring.

Cost dive

Per-route token math, model selection review, prompt compression options.

Risk assessment

Prompt injection, hallucination, privacy, vendor concentration.

Report & roadmap

Written report, presented live, with a ranked next-90-days list.

Stack

The tools we typically reach for.

Not prescriptions — we adapt to what you already run. Worth knowing what we’re fluent in.

Read-only access to your stackLangfuse / HeliconeOpenAI / Anthropic logsPostgresSheets
FAQ

Questions about AI Audit & Strategy

  • No. It's a flat-fee deliverable. We tell you what's wrong. You decide who fixes it — us, you, or someone else. We've handed audits to teams who never hired us again.

  • Yes — we sign yours, or we use ours, before any access.

  • Read access to repos, logs, model provider dashboards, and 1–2h with the engineers who built the system.

  • Yes. Two outputs: a technical deep-dive for engineering and a 1-page exec summary.

  • Usually 1 week from signed scope. Audits are short, planned engagements.

Let’s scope your ai audit & strategy.

Send a brief and a senior engineer replies within four hours — with an honest read on whether we’re the right fit.