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Service · AI Consulting Services
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AI consulting for businesses that have real work to do.

AI strategy and implementation consulting for organizations that need to separate signal from hype — and ship things that actually pay back.

Practice
AI strategy & implementation
Output
Roadmap & pilots
Bias
Boring, deployable
Independence
No vendor commissions
§ 01 — What’s included

Capabilities, stated.

What you get when this service is part of a Yab engagement. Scoped per project.

01
AI use-case discovery

Workshops to find the places in your business where AI actually pays back — and the places where the hype is louder than the value.

02
Vendor evaluation

Independent assessment of LLM providers, RAG tooling, agent frameworks, and vertical AI products. No reseller relationships, no kickbacks.

03
Pilot programs

Short, scoped pilots that prove or disprove the value of an AI use case in weeks, not quarters. With a real success metric agreed before we start.

04
Implementation roadmap

What to build, what to buy, what to wait on. Sequenced, budgeted, with the integration map and the data dependencies called out.

05
AI governance

Acceptable-use policy, data handling, model risk management, audit logging — the things you'll wish you'd done before scale, done first.

06
Team enablement

Training your engineering and operations teams on the parts they need to know. We don't want to be the only ones who understand the AI stack you run.

§ 02 — Standards

The bar we hold ourselves to.

Operating numbers and posture you can quote back to us. These are commitments, not aspirations.

Vendor commissions
Zero
Pilot timeline
Weeks
Output
Written
Bias
Boring tech
§ 03 — Relevant work

Where we’ve done this.

Real engagements where this service was load-bearing. Click through for full case studies.

§ 04 — Approach

Four phases.
Fixed sequence.

The shape of a typical engagement. Phases overlap on larger projects, but the sequence is the same.

01
Discovery

We sit with leadership and operations to identify the workflows where AI realistically pays back. Most orgs leave this session with 3–5 candidate use cases.

1–2 weeks
02
Score & prioritize

Each candidate use case gets sized on impact, feasibility, and risk. We narrow to the 1–2 worth piloting now and the ones worth revisiting in a year.

1 week
03
Pilot

A short, scoped pilot with a success metric agreed in writing. If it works, we scale it. If it doesn't, we say so and you save the budget.

4–8 weeks
04
Operationalize

Successful pilots become production systems with monitoring, governance, and the right team trained to run them.

Ongoing
§ 05 — Industries

Where this work
fits best.

Sectors where we’ve done this service often enough to know the patterns — and the patterns that don’t work.

§ 06 — FAQ

Questions,
asked in advance.

The things people ask before they reach out. If yours isn’t here, send it over — we’ll add it.

AI consulting is the work of figuring out where AI realistically pays back in your business and how to deploy it without setting money on fire. The deliverable is a written roadmap and, ideally, one or two pilots that prove (or disprove) the value before you commit to a multi-year platform.

There is no single best — the right choice depends on the workflow. Anthropic Claude and OpenAI lead on general-purpose reasoning; smaller open models win on cost and latency for narrow tasks; vertical AI products often beat general LLMs for things like document extraction or contact-center automation. We benchmark for your specific use case rather than recommending a default.

AI automation is using language models, vision models, or autonomous agents to do work that previously required a human in the loop — things like document review, customer triage, data entry, scheduling, and parts of underwriting. It's a subset of business automation, distinguished by being able to handle unstructured input that traditional automation can't.

Discovery and roadmap engagements start at $15k for a focused 2-week sprint. Pilots typically run $25k–$75k depending on the integrations involved. Production rollouts vary widely — we quote each phase in writing.

No. We have no reseller relationships, no platform partnerships that pay commissions, and no quotas to hit. That's deliberate — we want to be able to recommend the right tool for your situation, not the one that pays us.

Yes. Most engagements run on enterprise tenants of the major providers (with no-training agreements in place) or on self-hosted open models for sensitive workloads. The data handling design is part of the deliverable, not an afterthought.

§ 07 — Start

Find the AI use cases that pay back.

One reply within a business day. No sales pipeline. We’ll either propose a path or point you somewhere better.