Training on your stack
Exercises run against your codebase, your data and your cloud, so Monday morning looks like the workshop did.
AI Consulting
Team enablement
Hands-on training on your stack and your data, so your team ships AI work without waiting for consultants.
What it is
Team enablement makes our involvement temporary by design. We train your engineers, product managers and leadership on the AI skills their roles actually need, working on your codebase and your data rather than toy examples. The goal is a team that scopes, builds and operates AI features without external help, and knows when to ask for it.
Formats match the audience: hands-on workshops for engineers covering retrieval (RAG), accuracy testing, prompting and automation patterns; use-case and scoping sessions for product teams; briefings for leadership on cost, risk and realistic timelines. Sessions run on your stack, and every exercise leaves working code or a usable artifact behind, not just notes.
What changes: AI stops being one specialist's domain. Engineers ship LLM features with evals attached, product managers write AI specs that survive contact with reality, and leadership makes fund-or-kill decisions on real numbers. Internal champions carry the practice forward after we leave, which is the point of the whole exercise.
Why it works
Role-specific tracks
Engineers, product managers and leadership get different sessions, each scoped to the decisions that role actually makes.
Working artifacts, not certificates
Each session ends with something usable: a prototype, an eval suite, a scoped spec, a decision framework.
Champions who carry it on
We identify and coach the internal people who will own the AI practice after the engagement ends.
Pairing on real tickets
Beyond workshops, we pair with your engineers on live AI work, which is where the skills actually settle.
AI Consulting
How we run it
01
Assess skills
A short skills and tooling assessment per team, so training targets real gaps instead of assumed ones.
02
Design the program
We build a track per role from our workshop library, adapted to your stack, use cases and schedule.
03
Train and pair
Workshops first, then pairing on your live AI work while the material is fresh.
04
Embed
Champions get coaching, playbooks and a direct line to us while they take over the internal practice.
What you get
Role-based training program with materials
Hands-on workshops run on your stack and data
Working artifacts from every session
Playbooks for the internal AI practice
Coaching plan for internal champions
Common questions
How senior does our team need to be?
Solid software engineers are enough, no ML background required. Modern AI engineering is mostly software engineering with new failure modes, and that is exactly what the training covers.
How much time does this take per person?
Typically a two-day workshop per track plus a few hours of pairing per week for the following month. We fit sessions around delivery schedules, and pairing happens on tickets your team was going to ship anyway.
Is this a one-off or ongoing?
Either. Some clients book a single workshop, most combine one with a month of pairing. If you want continuity, enablement folds into the advisory retainer.
Build the capability in-house
Tell us where your team stands and where it should be. We will propose a program in one call.
Plan the program