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Multi-Stage Expert Verification Workflow

Pitch

Create a structured, multi-stage verification workflow that validates plan claims using domain experts and evidence gates, producing a verified, investor-grade plan with explicit confidence ratings.

Why

Investors and decision-makers need more than persuasive narratives. They need verified claims, clear evidence coverage, and risk transparency. A staged workflow allows fast rejection of weak plans and deep validation of strong candidates without wasting expert time.

Problem

Today, verification is ad hoc:

  • Some plans are reviewed deeply, others barely.
  • Evidence quality is not standardized.
  • Experts are not sequenced efficiently, wasting time on poor candidates.

Proposed Solution

Implement a pipeline with escalating verification depth:

  1. Automated evidence extraction and claim scoring.
  2. Lightweight expert screening on critical claims.
  3. Deep domain verification for shortlisted plans.
  4. Final synthesis into a verified plan report.

Workflow Stages

Stage 0: Intake and Claim Extraction

  • Parse plan text into discrete claims (market size, unit economics, regulatory feasibility, technical feasibility).
  • Tag claims by domain and risk class.
  • Produce a claim map and evidence requirements.

Stage 1: Automated Evidence Check

  • Validate claims against known databases and public sources.
  • Flag contradictions or unsupported assumptions.
  • Assign initial confidence scores.

Output: Evidence coverage report and critical risk flags.

Stage 2: Expert Screening

  • Route high-risk claims to appropriate experts.
  • Experts validate plausibility and point out weak assumptions.
  • Filter out non-viable plans early.

Output: Screened plan with go/no-go recommendation.

Stage 3: Deep Verification

  • Full verification of remaining claims.
  • Require primary evidence: signed LOIs, audits, regulatory approvals.
  • Validate technical feasibility with domain-specific expertise.

Output: Verified plan with confidence scores by claim category.

Stage 4: Final Synthesis

  • Produce an investor-ready verification summary.
  • Provide recommendations and required fixes.
  • Generate a final verification grade.

Evidence Standards

Evidence should be graded by strength:

  • Level 1: Anecdotal or unverified claims.
  • Level 2: Third-party reports or benchmarks.
  • Level 3: Audited financials, signed contracts, regulatory approvals.

Each claim in the plan should reference an evidence level.

Output Schema

{
  "verification_grade": "B+",
  "critical_flags": ["Regulatory approval uncertain"],
  "evidence_coverage": 0.72,
  "claim_confidence": {
    "market_size": "medium",
    "unit_economics": "low",
    "technical_feasibility": "high"
  },
  "required_fixes": [
    "Provide updated unit economics from pilot",
    "Secure preliminary regulatory consultation"
  ]
}

Integration Points

  • Links directly to FEI scoring (execution credibility).
  • Feeds into investor matching (confidence-weighted ranking).
  • Provides gating before plan promotion to marketplace.

Success Metrics

  • % plans passing Stage 2 and Stage 3.
  • Reduction in false-positive investor matches.
  • Time saved per expert review cycle.
  • Investor satisfaction with verification reports.

Risks

  • Expert availability bottlenecks: mitigate with staged filtering.
  • Over-reliance on automation: keep human override.
  • Inconsistent evidence quality across sectors: normalize by domain.

Future Enhancements

  • Reputation scoring for experts.
  • Automated dispute resolution for conflicting expert opinions.
  • Continuous verification updates as plans evolve.

Detailed Implementation Plan

Phase A — Workflow State Machine (1–2 weeks)

  1. Define verification lifecycle states:
  2. draft
  3. triage_review
  4. domain_review
  5. integration_review
  6. final_verification
  7. Add transition guards and role permissions.
  8. Add SLA timers and escalation triggers.

Phase B — Domain Review Packets (2 weeks)

  1. Auto-generate review packet templates per domain (engineering, legal, environment, finance).
  2. Attach structured checklists and evidence requirements.
  3. Enforce issue severity taxonomy (blocker/major/minor).

Phase C — Integration + Conflict Resolution (2 weeks)

  1. Build cross-domain conflict register.
  2. Add mediation workflow for contradictory expert findings.
  3. Require explicit acceptance/rejection for each blocker before final verification.

Phase D — Final Report + Signoff (1 week)

  1. Generate signed verification summary with conditions.
  2. Produce machine-readable status for downstream bidding gates.
  3. Archive all review evidence and decision logs.

Data model additions

  • verification_runs
  • verification_stages
  • verification_issues
  • verification_signoffs
  • verification_slas

Validation checklist

  • Stage transition correctness
  • Blocker enforcement before completion
  • Reviewer SLA compliance
  • Reproducible final verification export