E

How it works

What happens to your AI

First the product journey: Test → Train / Improve → Prove → Certify. Then the commercial journey: Assessment → Improvement Pilot → Certification → Enterprise Platform.

See an AI get examinedStart an Assessment
Product journey

TEST → TRAIN / IMPROVE → PROVE → CERTIFY

How a named AI moves through Expertluma. You bring the system. We orchestrate the examination, improvement support, retest, and evidence. Your team ships v2. You own the deployment decision.

  1. 01

    Test

    What can this AI actually do?

    Turn the client workflow into a sealed examination. Run their AI. Establish baseline and failure intelligence.

  2. 02

    Train / Improve

    Where does it fail — and what does v2 need?

    Produce governed improvement material and expert feedback. The client’s AI engineering team ships v2.

  3. 03

    Prove

    Did the improved version actually get better?

    Independent retest on the same sealed examination — before → after under contamination controls.

  4. 04

    Certify

    Is there enough evidence to deploy?

    Package the Trust Package and Decision record under defined intended use. Governance owns go / no-go.

Client workflow → Examination → AI baseline → Failure diagnosis → Improvement → AI V2 → Same examination → Independent retest → Before → After → Evidence → Decision

Commercial journey

What procurement buys

Assessment, Improvement Pilot, Certification, and Enterprise Platform are what procurement buys. Test → Train / Improve → Prove → Certify is the machinery inside each Program — not separate products.

  1. 01

    Assessment

    Determine what the AI is supposed to do and whether it is ready to be examined.

  2. 02

    Improvement Pilot

    Establish what the AI can do, identify its failures, and create the evidence needed to improve and validate it.

  3. 03

    Certification

    Independent measurement → evidence → gates → decision support.

  4. 04

    Enterprise Platform

    Run multiple Programs with shared governance, workforce, and evidence operations.

Engagement steps

Inside a typical Program

  1. 01

    Test

    Seal a client-shaped examination and measure what the AI can demonstrate today.

  2. 02

    Train / Improve

    Produce governed improvement material — your reviewers, our workforce, or a mix — so your AI team can ship v2.

  3. 03

    Prove

    Retest the improved AI on the same locked exam. Show before → after.

  4. 04

    Certify

    Package Trust evidence under defined intended use. Leadership records go / no-go.

  5. 05

    Hand back & scale

    Return datasets, reports, and evidence — then expand Programs on one platform.

Timeline

How long does it take?

  1. 1

    Week 1 · Test

    Intended use locked. Examination sealed. Baseline measured on your actual AI.

  2. 2

    Week 2 · Train

    Failure intelligence drives governed datasets and expert feedback your AI team can use.

  3. 3

    Week 3 · Improve

    Your AI engineering team ships v2 from Program outputs — we do not silently retrain weights.

  4. 4

    Week 4 · Prove & Certify

    Independent retest on the same locked exam. Before → after and Trust Package assembled.

  5. 5

    Week 5 · Decide & close

    Executive authorization under defined use. Invoice approved. Settlement completes. Hand-back retained.

How every AI evaluation moves from data to executive approval

Production spine

  1. Discover

  2. Improve

  3. Prove

  4. Certify

  5. Enterprise Platform

Product

What you see during the engagement

Illustrative product surfaces — progress, certification, and commercial close. Sensitive data omitted.

Executive workspace

Illustrative product view

Know exactly what executives approve before AI reaches production.

Executive workspaceMorning brief

  • Program healthOn track
  • Decisions1 awaiting approval
  • CertificationReady to review
  • SettlementInvoice after approval

View dashboard

Trust package

Illustrative product view

Every certification includes an evidence package your governance team can defend.

Trust packageClinical AI Evaluation

  • EvidenceComplete
  • Audit trailDecision ledger
  • GovernanceNo exceptions
  • NextExecutive acceptance

View trust model

Commercial close

Illustrative product view

When evaluation is complete, approval, invoicing, settlement, and audit happen in one governed workflow.

Commercial closeEngagement finance

  • InvoiceReady for approval
  • SettlementEnterprise · partner · workforce
  • Audit recordRetained
  • StatusAwaiting Finance

See commercial close

See an AI get examined

Run the Northstar Customer Operations Agent through Test → Prove — sealed examination, measured scores, and Verified Evaluation evidence.

See an AI get examinedStart an Assessment