{"resourceId":"missouri-aws-champions-dolir-dora-kiro-metrics-20260904","versions":[{"version":"external-d35ac74ab7ee88e1bb4ac8b9ea3c7ea634bd535efacfd1950cb944bcf690ca48","resource":{"id":"missouri-aws-champions-dolir-dora-kiro-metrics-20260904","title":"Missouri AWS Champions profile quantifies DOLIR UI AI at 93% review-time cut and ~79,000 hours recaptured","organization":"Missouri Office of Administration — IT Services Division (OA-ITSD); Department of Labor and Industrial Relations; Department of Revenue","sector":"State shared services / unemployment insurance adjudication / revenue virtual assistant / developer productivity","geography":"Missouri, United States","publishedAt":"2026-09-04","publicationDate":"2026-09-04","eventDate":"2026-09-04","sourceName":"Government Technology — AWS Champions Program 2026: State of Missouri OA-ITSD","sourceLabel":"Sponsored AWS Champions state profile on GovTech with Missouri-attributed operating metrics","sourceUrl":"https://www.govtech.com/champions/2026/slg/state-of-missouri-office-of-administration-it-services-division","evidenceClass":"vendor-claim","outcomeClass":"mixed","topics":["knowledge-work","developers-agents","accessibility-workforce","governance-procurement","operating-model"],"finding":"Why now: after the 2026-09-26 Digital States Missouri interview archived high-level UI/grant claims without hard baselines, this Sep 4 AWS Champions profile (still unarchived) supplies quantified operating metrics for the same enterprise AI stack. It states the DOLIR Adjudication Assistant (Amazon Bedrock/RAG) cut initial unemployment case review from about 30 minutes to two minutes (93%), recapturing about 79,000 staff hours annually; DORA (Revenue virtual assistant upgraded to GenAI) has >11 million inquiries / 2.6 million sessions with GenAI upgrade estimated to return 400–500 staff hours annually; Kiro expanding from 40 to 400 developers. Quotes Tim Marczewski on human-in-the-loop trustworthy AI.","sledRelevance":"Fills measurement gaps beside Missouri’s Digital States narrative—concrete UI adjudication cycle-time and hours-saved claims plus developer-assist scale for benefits and shared-services engagements.","evidence":"GovTech AWS Champions sponsored profile attributing metrics to Missouri OA-ITSD/DOLIR/DOR; Bedrock/RAG named for adjudication assistant; no independent audit or methodology appendix in opened page.","architectureImplications":"Bedrock + RAG adjudication assist; DORA rules→GenAI virtual assistant; IDP and productivity tools; Kiro developer assistant seat expansion.","governanceImplications":"Human-in-the-loop and trustworthy-AI framing from AI/Innovation director; no published EO checkpoint detail in this profile (EO 26-02 covered separately in archive).","securityPrivacyImplications":"UI and tax/revenue workflows imply sensitive PII; profile asserts secure, governed solutions but does not publish DLP, retention, or model-logging controls.","caveats":"Sponsored AWS Champions content; 79,000-hour and 93% figures are state-attributed without methodology, time window, or independent verification in the opened page. Do not treat as audited ROI.","streamIds":["state-government"],"roles":{"sales":"Sales framing: Missouri’s AWS Champions profile publishes harder DOLIR UI and DORA metrics than yesterday’s Digital States interview—79,000 hours recaptured, 93% review-time cut, and Kiro scale 40→400. Open discovery on methodology and human-in-the-loop gates before treating numbers as transferable ROI. Bound offers to instrumentation, adjudication QA, and developer-assist enablement—not unsupervised benefit decisions or guaranteed FTE cuts from a sponsored profile alone.","engineering":"Engineering framing: treat the DOLIR Adjudication Assistant as Bedrock/RAG decision-support with mandatory adjudicator ownership, DORA as a GenAI upgrade of a long-running virtual assistant, and Kiro as a bounded developer pilot expanding seats. Proof-of-value reconstructs 30→2 minute baselines, appeal/error rates, and DORA maintenance-hour savings independently of the Champions write-up. Keep PII and benefit dispositions out of unsupervised automation.","delivery":"Delivery framing: sequence measurement packs for DOLIR case review, DORA GenAI maintenance savings, and Kiro expansion with clear OA-ITSD and agency owners. Acceptance criteria publish methodology for the 79,000-hour claim and keep humans mandatory on UI dispositions. Risks include over-crediting sponsored AWS Champions marketing, silent adjudication errors, and expanding Kiro without secure SDLC gates."},"roleDetails":{"sales":{"customerProblem":"Benefits and shared-services leaders need credible, human-supervised UI GenAI cycle-time and hours-saved evidence before scaling adjudication assistants.","stakeholders":["State CIO / OA-ITSD","DOLIR adjudicators","Department of Revenue (DORA)","AI/Innovation director","Privacy/security"],"discoveryQuestions":["What case volume and workforce formula produced the 79,000-hour figure?","Which adjudication steps remain human-mandatory?","How were 30-minute and 2-minute baselines timed?","What appeal/error rates changed after Bedrock assist?"],"valueHypothesis":"A measurement engagement can convert Missouri’s Champions metrics into decision-grade baselines reusable across UI and revenue assistants.","potentialEngagement":"6–8 week DOLIR/DORA instrumentation and Kiro expansion readiness pilot.","unsupportedClaims":["Audited statewide FTE reduction","Guaranteed 93% cycle-time transferable to other states","Unsupervised benefit auto-adjudication"]},"engineering":{"fit":"Strong fit for human-supervised UI decision-support and GenAI virtual-assistant upgrades with developer-assist scale.","architectureIntegration":"Amazon Bedrock/RAG in DOLIR workflows; DORA GenAI upgrade; Kiro for AppDev; enterprise productivity/IDP layer.","prerequisites":["UI case taxonomy and appeal rules","Adjudicator override UX","DORA content/corpus governance","Secure SDLC for Kiro"],"constraints":["Sponsored metrics only","Missouri policy/EO context","UI federal program rules","Unpublished full control matrix"],"security":"UI/tax PII requires disposition logs, least privilege, and prohibition on unsupervised benefit decisions.","proofOfValue":["Replicate 30→2 minute timing on sample","Appeal/error monitoring","DORA maintenance-hour ledger","Kiro PR quality/security gates"]},"delivery":{"work":"Measurement dashboards, override UX, DORA content ops, and Kiro enablement with agency owners.","dependencies":["OA-ITSD platform","DOLIR adjudicators","Revenue DORA ops","Security review"],"ownership":"OA-ITSD enterprise AI with DOLIR/Revenue operational ownership of outcomes.","skillsAdoption":"Adjudicators need AI-assist QA literacy; developers need secure-codegen review skills.","governanceCheckpoints":["Pre-scale UI accuracy gate","Monthly appeal review","DORA hallucination sampling","Kiro access/class reviews"],"acceptanceCriteria":["Published 79k methodology","Documented human-mandatory steps","No unsupervised benefit auto-decision","Kiro expansion security sign-off"],"risks":["Silent adjudication errors","Inflated sponsored ROI marketing","Shadow Kiro use on restricted repos"]}},"retrievedAt":"2026-09-27T22:21:30-05:00","enrichedAt":"2026-09-27T22:25:45-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Hours-recaptured claims imply workforce reallocation capacity; accessibility impacts for claimants using DORA not quantified here.","procurementImplications":"AWS Bedrock/RAG and Kiro named; confirm contract vehicles, data-processing terms, and Champions marketing vs contractual SLAs before scale.","operatingModelImplications":"OA-ITSD-centered enterprise AI with DOLIR and Revenue as operational owners; developer-assist as parallel AppDev track.","sourceVerification":{"openedUrl":"https://www.govtech.com/champions/2026/slg/state-of-missouri-office-of-administration-it-services-division","referenceExcerpt":"about 79,000 staff hours are recaptured annually","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}