Developers

Architecture and technical integration within your system

KOREV is designed to fit into your existing architecture: submission of case files, orchestration of Evidence agents, PRISM checks, and retention of a structured execution trace.

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Evidence integration schema

Illustrative integration example — exchange interfaces, connectors, and payload formats are defined during integration scoping.

INPUTIllustrative sample
{
  "process_id": "proc_due_diligence_01",
  "document_ref": "doc_2026_audit_alpha",
  "review_policy": "standard_compliance"
}
OUTPUTIllustrative sample
{
  "status": "completed",
  "deliverable": "...",
  "sources": [
    { "ref": "doc_ref_annexe_4", "verified": true }
  ],
  "validation": {
    "rules_applied": 4,
    "rules_passed": 4,
    "human_review_required": false
  },
  "trace_id": "kr-ev-8507b44"
}

PRISM — Decision control layer

PRISM fits into your architecture as a control layer between your applications and AI models. It evaluates convergence, detects divergences, and applies your validation rules before any result is delivered.

Your application
PRISM
AI models
Checked result

PRISM control schema

Illustrative example — models, quorums, and validation policies are configured per process.

INPUTControl policy
{
  "request_id": "req_84729",
  "models": ["model_alpha", "model_beta"],
  "policy": {
    "quorum": "consensus_or_escalate",
    "required_rules": ["source_verification", "boundary_check"]
  }
}
OUTPUTValidation result
{
  "status": "validated",
  "divergence_status": "concordant",
  "rules_evaluated": {
    "source_verification": "passed",
    "boundary_check": "passed"
  },
  "escalation_required": false,
  "trace_id": "kr-pr-84729"
}

PRISM guardrails

Checks before delivery

Results are not delivered if the convergence or validation criteria are not met (fail-closed suspension).

Divergence handling

When disagreements or uncertainties are detected, PRISM makes the divergences explicit and can trigger an escalation to a human reviewer.

Execution control

Configurable execution limits (timeout, iterations) and prevention of unstable behavior.

PRISM use case examples

Financial validation

Assisted review of financial files, with traceability of checks for regulatory review.

Legal review

Assisted contract compliance analysis with sourced outputs and verifiable references.

High-stakes processes

Sensitive processing subject to explicit rules and human approval before use.

PRISM observability

Trace identifier (trace_id)

Each execution generates a unique identifier that links inputs, the models called, and the checks performed.

Structured audit trail

Key elements are recorded: sources, rules applied, divergences detected, and human approvals.

Processing monitoring

Flow monitoring with configurable alerts for cases of divergence or escalation to a human.

PRISM integration modes

Application exchanges

Submit requests and retrieve structured results with their audit trail through the selected connectors.

Control layer

PRISM sits as a control layer between your applications and AI models to apply your validation policies.

Workflow integration

Connect PRISM to your existing processes to insert control and human review checkpoints at key steps.

Decision pipeline

Step 01 / 05

Request received through an API or business connector

Intelligence & multi-agent

  • —Atlas: Enterprise LLM and shared reasoning engine
  • —Targeted delegation to task-specific specialized agents
  • —Contextual orchestration and a traceable enrichment loop

Execution guardrails

  • —Configurable execution limits (timeout, iterations)
  • —Loop control and drift prevention
  • —Suspension on divergence (fail-closed) and human escalation

Observability

  • —Structured logs of steps, models, rules, sources, and approvals, depending on the workflow
  • —Traceability of processing and of the sources consulted
  • —Usable trace record for internal review or third-party audit

Deployment

KOREV can be integrated into cloud, hybrid, or on-premises environments, depending on the architecture chosen by the organization.

Prepare the integration of KOREV into your architecture

Let's discuss your architecture and technical constraints to define how the integration will work.

Discuss an integration