Common questions about the AI audit.
The objections we hear most from engineering and product leaders before they book the call.
No catch. It's a 60-minute working session with a senior AI engineer — no pitch deck, no commitment. We do a handful of these every month because the conversations are how good engagements start. If we're not the right fit, you still leave with a written summary you can use.
Especially then. Most of the value is in deciding what NOT to build. We'll pressure-test the use case, sanity-check ROI, and tell you which 80% of vendor demos to ignore. For a sense of the shape of work that survives that filter, see our Governed AI Knowledge Management System.
Yes — bring whatever you can share. Architecture diagrams, prompts, eval traces, retrieval setup, model bills, anonymized samples. The audit gets sharper the more concrete it is — see how we approached this on the AI Document Extraction & Auto-Prepopulation. Anything you share stays under NDA and is yours.
A senior AI engineer who has shipped production GenAI / agent systems — not an account manager. Depending on your stack we may bring a second specialist (data, MLOps, or platform) so you get a real second opinion, not a sales hand-off.
A short written summary covering: the highest-leverage problems we'd tackle first, the architecture choices we'd defend or change, specific risks (cost, latency, hallucination, eval, guardrails), and a rough sequencing — the same shape of thinking behind our AI Planning Engine for a European Logistics Company. You can share it internally as-is.
Discovery calls are about us learning your budget. This is about you getting a useful technical opinion. We come prepared, we go deep on one or two problems instead of skimming ten, and we're explicit about what we don't know.