AI consulting that actually ships.
Most AI consulting ends at a slide deck and a hand-wave. We do the strategy and then build the thing, custom agents, private models, and the plumbing to run them, for teams that can't hand their data to a big AI vendor.
Decks, not deployments.
The going rate for AI consulting is a strategy deck, a maturity matrix, and an invoice, then you're on your own to actually build any of it. The recommendations are usually fine. The gap between the recommendation and a working system is where every AI initiative quietly dies.
And the off-the-shelf answer, pipe everything through OpenAI, is a non-starter the moment real data is involved, legal, medical, financial. You don't need a consultant to tell you AI matters. You need one who'll build you something that works and keeps your data yours.
A repeatable method, not a vibe.
Every engagement runs the same four beats. No mystery, no scope creep.
Find the real use case
We cut through the hype to the one or two workflows where AI actually pays off for you, intake, review, drafting, scribing, support, and ignore the rest.
Strategy & roadmap
A costed, build-ready plan: what to build, which model, what it connects to, and what it's explicitly not allowed to do. Decisions, not options.
Build it (or guide your team)
We implement, custom agents, private or self-hosted LLMs, integration with your stack, or upskill your team to do it, with guardrails in place.
Deploy & measure
Ship to production, then prove it moved a real number, hours saved, cases handled, not a vibe in a steering-committee slide.
Concrete deliverables.
- AI strategy & opportunity assessment
- Build-ready, costed roadmap
- Custom AI agent / LLM implementation
- Private / self-hosted model setup
- Integration with your existing stack
- Team enablement & guardrails
Things we get asked.
Direct answers to the questions that come up on the first call.
How is this different from a big consulting firm?
They hand you a deck; we hand you a working system. Same strategy rigor, but the people who write the recommendation are the ones who build it, so nothing gets lost in a hand-off to a separate dev shop.
Do you only do strategy, or implementation too?
Both. The strategy sprint stands alone, but most clients have us build what it recommends, custom agents, private models, and the integrations to run them in production.
We're in a regulated industry. Can you help?
That's our wheelhouse. We design AI around privacy first, private or self-hosted models so your data never leaves your environment. It's the whole basis of our Private AI Agents work.
What does an AI consulting engagement cost?
A focused strategy sprint starts around $5k. Build engagements are scoped from there after the roadmap, at a fixed price, with no open-ended hourly meter.
Which AI models do you work with?
Whatever fits, commercial APIs where the data allows it, and open-weight models like Llama, Mistral, and Gemma self-hosted where privacy demands it.
Often bought together.
Private AI Agents
Custom AI agents for law firms and medical practices, running on a private, self-hosted LLM you control. No prompts, files, or patient data sent to OpenAI or any other big-data company.
View service ConnectMartech Integrations
Connect your CRM, ad platforms and analytics so data flows.
View service MeasureTracking & Analytics
GA4, GTM and server-side events that finally reconcile.
View serviceReady to scope it?
Tell us your roadmap, your stack, and the deadline that's making you nervous. We come back in 48 hours with a written plan and a fixed price.