Supervised agents absorb document work and controls while your teams keep judgment, accountability and client relationships.
Demos impress the board, then hit IT, security and compliance. Without business integration, value stays theoretical.
GDPR, banking secrecy, supervisory expectations: without agent governance from day one, every use case becomes a risk project.
Document analysis, KYC, claims, controls: teams drown in repetitive work instead of applying judgment.
Illustrative scenarios — every deployment is scoped with signed KPIs before production.
Target to define — Cut claims handling time without losing business control.
Possible deployment — We industrialize a document pre-analysis agent on your DMS, with human validation on ambiguous cases and full traceability.
Target to define — Speed up document controls while staying auditable.
Possible deployment — We design a governed agent pipeline: explicit business rules, audit logs, sovereign hosting and human exit criteria.
Target to define — Move beyond an isolated ChatGPT POC into the real stack.
Possible deployment — We re-run the use case through SIGNAL: tool integration, data readiness, compliance guarantees, then industrialization.
Yes. Compliance is not an add-on: it shapes SIGNAL scoping (allowed data, traceability, human-in-the-loop, hosting). We design with your risk and legal teams.
Not by default. We favour sovereign infra and architectures where your data stays under your control. Model choice is agnostic and matched to sensitivity.
A SIGNAL diagnostic quickly finds where value is real. A guided prototype then validates a low-risk case before industrialization — no magic in ten minutes.
No. Humans decide, agents execute. We augment teams on repetitive load; judgment, accountability and client relationships stay yours.
In one hour, we frame repetitive work, data constraints and the gains to measure — with a partner, not a salesperson.