A delivered system is only half the value if your team can't extend it. We run hands-on workshops and embedded pairing on your actual codebase, ending at a clear point where your engineers ship the next AI feature themselves.
Workshops, pairing, and assessment — the full programme that leaves your team able to build AI independently.
An honest assessment of where your team stands, and a workshop series built around the real gaps.
Sessions run on your actual codebase and use cases — never generic slides.
Our engineers pair directly with yours on a real feature, not a toy example.
A defined point where your team ships an AI feature solo, with us as backup only.
A lightweight support tail and a recorded library your team can revisit anytime.
The enablement topology and a real assessment pattern — not a slide about “upskilling.”
// elhaa Skills Assessment — Before/After const result = await elhaaEnable.assess({ engineer: teamMember, tasks: ['write-eval-suite', 'debug-guardrail-failure'], stage: 'post-programme', compareTo: 'baseline' }); // -> { readyForIndependence: true, gapAreas: [] }
The engineering team had never built an AI feature, and leadership was wary of permanent dependence on an outside vendor for every future request.
We ran a skills audit, built a workshop series on their actual document-processing use case, paired directly with two engineers on the first real feature, and set an independence checkpoint at week eight.
*Illustrative example based on a representative engagement.
Assess your team's current AI/ML familiarity and identify the real gaps, not assumed ones.
Hands-on sessions on your actual codebase and use cases, not generic slides.
Our engineers pair directly with yours on a real feature, live.
A defined point where your team ships the next AI feature solo, with us as backup only.
Measured before and after, on real tasks, not a satisfaction survey.
AI features your team ships without us in the loop — the actual goal.
Whether the sessions were useful enough for engineers to actually show up.
Follow-up check that the training stuck, not just that it happened.
Specific to you — workshops run on your actual codebase, data, and use cases. We don't do generic slide-based AI 101 sessions.
Typically 6–10 weeks, combining workshops with embedded pairing on a real feature, ending at a defined independence checkpoint.
That's fine and common — the skills audit meets your team where they are. Most of what we teach is practical engineering discipline (evals, guardrails, monitoring) rather than ML theory.
Most clients keep a light-touch office-hours arrangement for a few months afterward, but the explicit goal is that you don't need us for routine work by the end.
Yes — it's a common pairing: we build the first solution with your team embedded, so delivery and enablement happen at the same time rather than sequentially.
A 30-minute call. We'll tell you honestly whether this is the right solution — and what it would take.
A short form, then a 30-minute call. We reply within one working day.
We'll be in touch within one working day.