Use cases

Deep Agents was designed for organizations that need to use AI on sensitive information — without giving up knowing who used it, from which source and at what cost.

Public sector

Case files, contracts, tenders and legal opinions cannot leave the institution's perimeter. Sensitivity analysis decides what may be processed outside national infrastructure; everything else stays in your environment, with the source of each answer on record and the cost of each run visible per department.

Query against the tender database

Internal audit office

Summary of an administrative case file

Legal office

Bulk classification of documents

General secretariat

Draft of a technical opinion

Legal office

Data extraction from contracts

Procurement

Illustrative examples of runs, the same ones shown in the audit trail on the home page. They do not represent customers.

Companies

Operations that already have a knowledge base, internal systems and enough volume that the cost and quality of answers need to be tracked.

Internal support

Answers, triage and assisted execution for support operations.

Document analysis

Context extraction, file classification and technical reading with traceability.

Connection to internal systems

ERPs, CRMs, legacy databases and APIs without losing operational governance.

Multi-agent workflows

Specialized agents coordinated in chained flows for complex tasks.

Knowledge bases with RAG

Documents, operational memory and contextual retrieval in real time.

Monitoring and evaluation

Quality, safety and evolution of answers with native observability.

What these operations have in common

  • The information is sensitive and cannot move between tools without control, contracts and clear safeguards.
  • Someone has to answer who used the AI, which sources were consulted and how each answer was produced.
  • The budget has to be predictable and controllable by department, user or agent.

See how the platform addresses each of these barriers

Keep exploring