AI Consulting
Good AI consulting is mostly about deciding what not to build. Before anyone talks architecture, the valuable question is where AI genuinely reduces cost, risk, or time in your business, and where a plain deterministic system is the smarter bet.
Consulting that ends in something shipped
Most AI advice stops at a slide deck. Ours is written by the same senior engineers who would build the thing, which changes what the advice is worth. We look at your actual workflows, data, and constraints and come back with a prioritized, budget-aware view of where AI pays for itself and where it does not. We will talk you out of the expensive version when the expensive version is not warranted, because a consultant who only ever says yes is not saving you anything.
This is for founders and product leaders who are under pressure to have an AI story but do not want to burn a quarter on a novelty that never ships. The work grounds the excitement in reality: what is genuinely feasible with today's models, what it will cost to run, what could go wrong, and what the first defensible project looks like. The output is a plan you can act on, not a report that sits in a drive.
How the engagement runs
Map the opportunities
We review your operations and product to find where AI moves a real number, then rank the options by value and effort.
Pressure-test feasibility
For the strongest candidates we check what the models can actually do, what they cost at your volume, and where the risk sits.
Sequence the roadmap
You get a prioritized plan: what to start with, what to prove first, and what to leave alone for now.
Prove it, then scale
When it makes sense, the same team builds the first project end to end, so the strategy is validated in production rather than in theory.
What you get
- A prioritized, budget-aware roadmap for where AI earns its keep in your business.
- An honest feasibility and cost read on each opportunity, at your real volumes.
- A recommended first project, scoped to prove value quickly and defensibly.
- Guardrail, evaluation, and data-readiness guidance so what you build holds up.
- A direct line to the senior team who can build it, not just advise on it.
Not sure whether your AI idea is worth the money? That is exactly the question we are useful for. Tell us the business you are running and we will tell you where AI helps, where it does not, and what to do first.
Related services
Frequently asked questions
What does an AI consulting engagement include?
You get a prioritized, budget-aware roadmap for where AI earns its keep, an honest feasibility and cost read on each opportunity at your real volumes, and a recommended first project scoped to prove value quickly. The advice is written by the same senior engineers who would build the thing, so it ends in something shippable rather than a slide deck.
How much does AI consulting cost?
A focused AI strategy and roadmap engagement is scoped to the engagement, depending on the number of workflows and the depth of feasibility testing. It is deliberately smaller than a build, because the point is to decide what is worth building before you spend on it.
Will you tell us if AI is not the right answer?
Yes, and often we do. A consultant who only ever says yes is not saving you anything, so we will talk you out of the expensive version when a plain deterministic system is the smarter bet. Deciding what not to build is most of the value.
Can you build what you recommend?
Yes. The same senior team can build the first project end to end, so the strategy is validated in production rather than in theory. You get a direct line to the people who can ship it, not just advise on it.
Do you work with US-based startups and companies?
Yes. We work with US founders and product leaders under pressure to have an AI story, keep overlapping working hours, and ground the plan in what is genuinely feasible and affordable at your volumes.
Tell us what needs to work better.
Describe the outcome you're after. We'll scope the build and point you at the right first step.