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INTELLIGENCE724PROCESS-FIRST MACHINE INTELLIGENCE

Governed AI around existing systems

AI Integration for Existing Business Systems

Integrate document intelligence, retrieval, prediction, bounded automation, and AI-assisted engineering through controlled APIs, identity, validation, human review, audit, and rollback.

AI sidecarsRAGDocument intelligenceAnomaly scoringPolicy gatesHuman reviewAuditRollback

AI belongs inside a controlled business workflow—not above the rules that govern the business.

An AI sidecar or governed RAG service may assist the workflow, but the model is never the source of authority. Identity, policy, data systems, deterministic validators, approvals, command services, audit, and human owners determine what the system may know, recommend, or do.

Separate planning, policy, execution, verification, and rollback.

Approved triggerUser request · event · document · scheduled workflow

Evidence and planAuthorized retrieval · structured proposal · confidence and limitations

External policy gateIdentity · scope · data class · action · budget · approval

Governed tool or commandAllowlisted operation · short-lived credential · idempotency

Outcome verificationAuthoritative read-back · commit · compensate · safe stop

Add the right form of intelligence to the right boundary.

Document intelligence

Classify, extract, validate, compare, and route exceptions from unstructured documents.

Knowledge assurance

Retrieve authorized, current sources and produce cited answers with abstention and correction paths.

Decision support

Forecast, rank, optimize, or score cases while preserving the accountable business decision.

Bounded workflow automation

Plan and perform narrowly allowlisted steps under identity, limits, approvals, verification, and rollback.

AI-assisted engineering

Accelerate understanding, documentation, tests, refactoring, conversion drafts, and defect analysis.

Evaluation and governance

Version the complete system, test representative and adversarial cases, monitor drift, and maintain a scale-or-stop gate.

AI should earn its authority.

  • Deny by default
  • Least-privilege human and workload identities
  • Authorization outside the model
  • No credentials in prompts or memory
  • Source-aware retrieval and citations
  • Typed inputs and outputs
  • Deterministic validation
  • Human approval before material consequence
  • Rate, cost, record, recipient, and transaction limits
  • Immutable audit events
  • Manual fallback and exception queues
  • Tested rollback and kill switch

A demo is not an operating capability.

A controlled pilot uses representative cases, frozen acceptance criteria, source and model versions, security tests, shadow or limited live exposure, human-review economics, cost per successful outcome, incident and fallback procedures, and a scheduled scale, remediate, defer, replace, or stop decision.