Target to define — Speed proposals and deliverables without lowering the bar.
Possible deployment — We industrialize pre-draft agents on your proprietary corpus, with mandatory human review before client send.
Recover capacity across research, synthesis and deliverables — without standardizing judgment or exposing client confidentiality.

Research, synthesis, drafts, reviews: senior time burns on repetitive load.
Every engagement reinvents the wheel; knowledge management stays a dead SharePoint folder.
Pasting client data into a public chatbot is a contractual and reputational risk.
Illustrative scenarios — every deployment is scoped with signed KPIs before production.
Target to define — Speed proposals and deliverables without lowering the bar.
Possible deployment — We industrialize pre-draft agents on your proprietary corpus, with mandatory human review before client send.
Target to define — Make engagement knowledge actually reusable.
Possible deployment — We set up sovereign RAG on deliverables and methods, with access rights and traceability.
Target to define — Govern consultant agent use beyond shadow ChatGPT.
Possible deployment — SIGNAL roadmap + first controlled production case + usage charter aligned to client commitments.
Yes. We design isolation, rights and usage policies so Agents respect your contractual commitments — not an opaque shared pot.
It accelerates the base layer; your experts bring judgment and differentiation. That is “humans decide, agents execute”.
A diagnostic targets 1–2 high-leverage cases (often drafting / knowledge). A guided prototype follows before industrialization.
Yes: skills transfer and responsible usage are part of industrialization, not a one-off workshop.
In one hour, we frame repetitive work, data constraints and the gains to measure — with a partner, not a salesperson.