AI speeds up analysis, production and information processing. It stays integrated into your processes, governed by explicit rules, permissions, human validation and audit trails. The decision stays human.
Cross-checks, anomaly detection, risk scoring, cited supporting evidence.
E.g.: large-scale document control, forgeries spotted and justified.
Monitoring and structuring of public or internal signals: needs, risks, opportunities.
Structured extraction, consistency checks, cited sources and traceability.
E.g.: analysis of an M&A data room, risks surfaced and sourced.
Supervised agents integrated into the IS: permissions, validation, logging, human oversight.
E.g.: reading a sale agreement, points to check highlighted — the operator decides.
Rewriting systems stuck on limiting technologies — our systems expertise de-risks the migration.
Applications, workflows, portals, APIs and connected systems, including IoT, built for production.
An AI is only verifiable if its data is. A large part of an organization's useful information is unstructured and scattered — emails, documents, PDFs. Before automating, we make it reliable.
De-siloing, extraction, structuring and traceability: we put the data back in order so AI can rely on a clean, governed and auditable base.
Deterministic rules first; AI backing them up on ambiguous cases, with sourced, verifiable answers. An architecture designed to reduce hallucinations, trace sources and keep usage within bounds.
Bring us a real case. We assess feasibility, the level of proof you can reach and the expected gain.