[ 05 / Services ]

AI Strategy & Audits

Technical audits, model selection, and roadmap engineering for teams adopting AI at scale.

[ Capabilities ]

01
Model Selection
02
Cost & Latency Audit
03
Roadmap Design
[ Overview ]

AI Strategy & Audits

Most AI roadmaps are wishlists with no engineering reality behind them. We turn them into plans that actually ship — sequenced, scoped and stress-tested against your team, your data and your budget.

Our audits cover the full stack: model selection, cost & latency budgets, build-vs-buy, vendor risk, evaluation strategy, hiring plan and a 12-month phased roadmap. You leave with a document your CTO can defend and your CFO can approve.

Founders use it to raise. Enterprises use it to align engineering, product and procurement before a single line of code is written.

[ What you get ]

  • Phased 12-month AI roadmap with milestones and budgets
  • Model & vendor selection memo with cost / latency benchmarks
  • Build-vs-buy decisions for each capability
  • Risk register: legal, data, vendor lock-in, model drift
  • Hiring plan and team topology recommendation
[ Where it shines ]

Where it shines

01

Board-level decisions

Defensible analysis for funding, vendor approval or org restructure.

02

Pre-investment diligence

Independent technical review of an AI thesis or acquisition target.

03

Cost rationalization

Audit of existing AI spend with a phased plan to cut it 40-70%.

04

Greenfield strategy

Where to plant the flag when AI is new ground for the org.

[ Tools & stack ]

Claude · GPT · Gemma · Llama benchmarksVendor scorecards · TCO modelsOpenTelemetry · cost dashboardsLangfuse · Helicone · Phoenix
[ Frequently asked ]

Frequently asked

01How long does an audit take?

Two to four weeks depending on scope. We deliver an interim memo in week one so you have something usable immediately.

02Can you implement the roadmap too?

Yes — but the audit is purposely independent. If buying is the right answer, we'll tell you.

03Who is the deliverable for?

Written for technical leadership, structured so it can be presented to a board or investment committee unchanged.

[ 01 ]

What we deliver

UltraMVP combines deep model expertise with battle-tested production engineering. Every engagement ships measurable outcomes — not just prototypes — built on a stack that includes Claude Code, OpenAI Codex, and custom Gemma 4 fine-tuned adapters.

  • Model Selection
  • Cost & Latency Audit
  • Roadmap Design
[ 02 ]

How we work

  1. Step 01
    01

    Discovery and technical audit (1 week)

  2. Step 02
    02

    Architecture and model selection

  3. Step 03
    03

    Build, evaluate and harden for production

  4. Step 04
    04

    Deploy with observability and on-going optimization

Ready for the edge?

Technical audits, model selection, and roadmap engineering for teams adopting AI at scale.

Book a discovery call