03A·AI Advisory & Integration
AI is easy to demo and hard to ship. We work at the second half.
We start with the question you actually have, does this AI use case hold up, and is it worth building, and only then do we integrate it. Advisory is a short engagement on its own. If a build follows, it starts from the answer, not from a fresh brief.
GoAlgo Studio
Sheet 03A of 06
Rev 2026-07
What we ship
The artifacts we hand back.
- →A written read on your AI use case, does it hold, what will it cost to prove, where will it break
- →A ranked list of candidate use cases when you have more than one on the table
- →A short prototype where the answer is not obvious without one
- →When the answer is yes: retrieval, agents, extraction, drafting, or classification, integrated into the app that will actually call it
- →An evaluation harness so a good day one does not silently become a bad day thirty
- →Guardrails: PII redaction, prompt injection defenses, rate limits, audit log
- →Production deployment on your infra
The sprint shape
How the engagement runs.
- 01Scoping callOne 45-minute call. We understand the use case, your data, your users, and what you are actually trying to move.
- 02Advisory readOne to two weeks. We evaluate the use case: data readiness, model fit, expected quality ceiling, and cost. Written, defensible.
- 03DecideYou get a straight answer, build, prototype, or don't. If don't, the engagement ends here. That is a win too.
- 04BuildWhen the answer is build: a vertical slice by end of week two, an eval harness, iteration against a real metric.
- 05Deploy & hand offInto your infra. Docs, runbook, on-call cheat sheet. We do not become a permanent dependency.
Typical duration
1 - 6 weeks
How we scope
One 45-minute scoping call. We name the outcome, the shape, and the fee on that call. Written SOW within 48 hours.
Not in this engagement
Explicitly out of scope.
- Foundation-model training from scratch
- GPU procurement or on-prem model hosting
- Long-term SRE / on-call for the deployed service
- Data collection, labeling, or annotation programs
Common questions
FAQ.
- Can we hire you for just the advisory part, without the build?
- Yes. About a third of advisory engagements end with a written recommendation and no build, sometimes because the answer is no, sometimes because the client wants their own team to build. Both are fine.
- What models do you work with?
- We are model-agnostic. Anthropic Claude, OpenAI GPT-family, Google Gemini, Mistral, Llama variants, open-source retrievers. We pick the model that hits the quality metric fastest and cheapest, and we build the abstraction so you can swap later.
- What if we already tried something and it didn't work?
- That is often the most useful starting point. Bring the notebook, the eval numbers, the failure modes. Advisory engagements that begin with a real prior attempt usually finish faster.
- Do you take equity in place of fees?
- No. Fixed cash engagements only. Keeps our incentives on shipping, not on your cap table.
- Who owns the model weights, prompts, and code?
- You do. Everything ships to a repo you own from day one. We retain no exclusive rights to anything client-specific.