{"resourceId":"caliber-insight-ls-911-qa-20260818","versions":[{"version":"external-46c6b00f576930c89c23182f700b6103199b8be0eb9b44942fcbd326608f7859","resource":{"id":"caliber-insight-ls-911-qa-20260818","title":"Caliber Insight LS launches AI-assisted post-call QA scoring for Caliber CAD PSAPs","organization":"Caliber Public Safety / Howard County, Missouri 911 (beta)","sector":"911 dispatch quality assurance (post-call)","geography":"United States (Caliber CAD agencies; beta cited in Howard County, Missouri)","publishedAt":"2026-08-18","publicationDate":"2026-08-18","eventDate":null,"sourceName":"PR Newswire (Caliber Public Safety)","sourceLabel":"Vendor product launch press release with named beta-agency quote","sourceUrl":"https://www.prnewswire.com/news-releases/caliber-public-safety-launches-caliber-insight-ls-an-ai-powered-quality-assurance-tool-for-911-dispatch-centers-302853056.html","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["operating-model","accessibility-workforce","governance-procurement","data-security","infrastructure"],"finding":"On 2026-08-18 Caliber announced general availability of Insight LS, an AI-powered dispatch QA add-on that ingests Caliber CAD XML, scores calls against NENA/APCO standards on a 100-point scale (dispatch delay, unit progression, resource allocation, narrative quality, classification), flags below-threshold calls with AI narrative coaching, and optionally runs without AI using a local scoring engine. Beta customer Howard County, Missouri reportedly moved from about 5 manual reviews per month to more than 500 reviews within three weeks. Product is framed as post-call supervisor assist—not live call handling.","sledRelevance":"Why now: not archived and newly relevant after 2026-09-19/20 Long Beach CommsCoach and Nashville LogiDebrief catalogue entries—another U.S. post-call ECC QA AI pattern with explicit standards-based scoring and optional AI-off mode.","evidence":"PR dated Aug 18, 2026; NENA/APCO scoring factors listed; Howard County Director Sherri Beeler quote; about 5 to more than 500 reviews in three weeks; single-license pricing model; Caliber CAD dependency; AI analysis optional.","architectureImplications":"CAD XML ingest to rules/AI scoring to supervisor dashboards and email thresholds; remains offline from live answering path if configured as QA-only.","governanceImplications":"Demand local false-flag rates, retention, and human-final coaching rules; do not equate review-volume increase with clinical or response-time improvement.","securityPrivacyImplications":"CAD call data and narratives enter QA analytics; need CJIS-aligned hosting, access control, and clarity on AI vendor training use.","caveats":"Vendor PR; Howard County volume claim not independently audited here; Caliber CAD lock-in; no published FP/FN of AI narratives.","streamIds":["emergency-services"],"roles":{"sales":"Sell Insight LS-class tools as post-call QA coverage expansion for Caliber CAD centers—not as live 911 AI or proven life-safety gains. Discovery should separate review-count increases from scoring accuracy and retention controls. Bounded engagement: QA pilot with human-final scoring and published coverage KPIs. Unsupported claims include guaranteed coaching outcomes, clinical benefit, or safe live-call automation from this release.","engineering":"Fit is CAD-coupled post-call scoring with optional AI narratives. Architecture: XML ingest, standards rules engine, dashboards, threshold alerts; keep off live trunks. Prerequisites: Caliber CAD, NENA/APCO policy mapping, supervisor workflow. Constraints: vendor-reported beta metrics; CAD lock-in. Security: CJIS/hosting and training-data bans. Proof of value: inter-rater agreement sample and coverage percent—not review counts alone.","delivery":"Work is CAD connector config, threshold tuning, supervisor training, and retention policy. Dependencies: Caliber CAD and QA staff time. Ownership: 911 QA supervisor for final scores. Skills: standards-based coaching. Governance: human-final before personnel actions. Acceptance: coverage target and false-flag audit. Risks: over-discipline from noisy AI flags; data retention creep."},"roleDetails":{"sales":{"customerProblem":"PSAPs cannot manually QA enough calls to spot procedural gaps across volume.","stakeholders":["911 directors","QA supervisors","Dispatchers","City/county budget authorities"],"discoveryQuestions":["What percent of calls are QA'd today?","Is AI narrative optional?","What retention and training-use limits apply?"],"valueHypothesis":"Standards-based CAD scoring can raise QA coverage if humans retain final judgments and metrics are local.","potentialEngagement":"Bounded post-call QA pilot with coverage and false-flag acceptance criteria on Caliber CAD.","unsupportedClaims":["Life-safety outcome improvement","Validated narrative accuracy from this PR","Live 911 automation readiness"]},"engineering":{"fit":"Post-call CAD QA scoring with optional AI coaching narratives.","architectureIntegration":"Caliber CAD XML to scoring engine/AI to supervisor dashboards and alerts; no live caller interaction.","prerequisites":["Caliber CAD","Mapped NENA/APCO and local policies","QA staffing for human-final"],"constraints":["Vendor CAD dependency","Unaudited beta volume claim","AI optional but still processes call data if enabled"],"security":"CJIS-aligned storage, role-based access, ban on cross-customer training without agreement.","proofOfValue":["Human-AI score agreement sample","Coverage percent of eligible calls","Time-to-coach metric"]},"delivery":{"work":"Configure scoring thresholds, train supervisors, set retention, monitor false flags.","dependencies":["CAD vendor support","QA personnel","Union/HR rules for coaching use"],"ownership":"QA supervisor owns final evaluation; IT owns CAD connector.","skillsAdoption":"Coach supervisors to treat AI narrative as draft, not verdict.","governanceCheckpoints":["Human-final before discipline","Quarterly false-flag review"],"acceptanceCriteria":["Agreed coverage percent","Documented retention clock","False-flag rate under threshold"],"risks":["Review-count vanity metrics","Privacy retention creep","Staff distrust of AI flags"]}},"retrievedAt":"2026-09-21T22:15:43-05:00","enrichedAt":"2026-09-21T22:15:43-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Higher QA coverage can improve coaching equity if supervisors are trained; poorly tuned flags can unfairly burden dispatchers.","procurementImplications":"Require Caliber CAD compatibility, optional AI-off mode, data-rights, and independent scoring validation clauses.","operatingModelImplications":"Keep AI in post-call QA; do not conflate with live emergency triage automation.","sourceVerification":{"openedUrl":"https://www.prnewswire.com/news-releases/caliber-public-safety-launches-caliber-insight-ls-an-ai-powered-quality-assurance-tool-for-911-dispatch-centers-302853056.html","referenceExcerpt":"Within three weeks of deployment, the agency completed reviews on more than 500 calls.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}