AI FlowOps

Stage 2 of 7 - AI extraction

What did AI read from the RFP?

The AI parsed the full document package and pulled structured facts: contract terms, risk clauses, deadlines, and integration requirements without a human reading it first.

Contract value

$4.8M fixed-fee Service credits up to 15% on SLA breach

Timeline

12-week launch Production, not pilot - mainframe integration required

Data classification

Regulated citizen data DPA absent from RFP - residency unspecified

Liability cap

Missing / silent Indemnity clause broad - requires legal review

Risk flags identified (6)

! Compressed production deadline Implementation
! Legacy integration uncertainty Implementation
! Unlimited indemnity exposure Legal
! No stated liability cap Legal
! Fixed-fee margin pressure Finance
! Privacy and data processing terms unresolved Security
Show extracted data and source phrases

Structured fields passed downstream

This is the operational form of the AI extraction: values the workflow can route, audit, and hand off instead of leaving the RFP as unstructured prose.

{
  "deadline": "2026-05-14",
  "document_type": "Government RFP",
  "estimated_value": 4800000,
  "primary_risks": [
    "liability_cap_absent",
    "missing_dpa",
    "fixed_fee_scope_risk",
    "compressed_launch_timeline"
  ],
  "requires_finance_review": true,
  "requires_implementation_review": true,
  "requires_legal_review": true,
  "requires_security_review": true
}

Source evidence phrases (11)

The AI extracted 23 structured facts from the package. These are the cited source phrases used to ground the major findings and reviewer packets.

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