GGenerali CentralExecutive Cockpit
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Generali Central Insurance Company Limited · FY25 (Mar'25, audited)
Mid-tier private multiline general insurer — Top-10 private (rank ~10)
2,644 employees · 167 branches · 21,000+ agents
🎬 A claim to a decision — the SciKIQ storyStep 11 of 14 · Act 5 · the audit trailAI Agentic WorkforceLapse, Retention & Sales AIAll journeys
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Audit trail · digest · @mentions

Team activity

Switch the actor to see a different person's digest. In a note on Today, type @Name to tag someone — it shows up in their 'For me'.

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Team actions today
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acting as Anup Rau
2026-08-19
Data Engineer Agent noted on agent:data-engineer:pipeline-health — “Data Engineer Agent · Pipeline health — 4 finding(s): Pipeline health checks show multiple critical data-quality rule failures and two key sources are stale or late: Central Bank CBS bridge (bancassurance channel)
2026-08-19
Fraud Detection Agent noted on agent:fraud:pattern-detection — “Fraud Detection Agent · Pattern detection — 4 finding(s): Pattern detection finds that health-related provider collusion and upcoding, as well as motor staged accidents and phantom claims, dominate the fraud casebook a
2026-08-19
Knowledge Agent noted on agent:knowledge:policy-search — “Knowledge Agent · Policy search — 4 finding(s): The 'Policy search' skill found multiple governed definitions for key policy-related terms such as 'Compliance Policy', 'Access Policy', and 'Capitalisation Pol
2026-08-19
Reporting Agent noted on agent:reporting:board-read — “Reporting Agent · Board read — 4 finding(s): Combined ratio worsened to 112%, resulting in a significant underwriting loss (~₹471 Cr), with PAT falling ~30% to ₹93.86 Cr despite strong investment income. S
2026-08-19
Compliance Agent noted on agent:compliance:regulatory-checks — “Compliance Agent · Regulatory checks — 4 finding(s): Critical GDPR and PCI-DSS violations remain open, with unmasked medical and financial PII in core health data assets. IRDAI Fraud Monitoring Framework (FMF-2025
2026-08-19
Provider Agent noted on agent:provider:pre-auth — “Provider Agent · Pre-auth — 4 finding(s): Several providers show medium anomaly scores due to elevated cashless pre-auth denial rates, with the highest being Dr. Melissa Ryan at 43.3% (vs 20.4% peer ave
2026-08-19
Payment Agent noted on agent:payment:reminders — “Payment Agent · Payment reminders — 4 finding(s): Payment reminders are needed for ₹62 Cr of outstanding premium aged over 60 days, with the 61-90 day bucket at ₹38 Cr and 90+ days at ₹24 Cr. Bancassurance (Cen
2026-08-19
Claims Agent noted on agent:claims:fnol-assistant — “Claims Agent · FNOL assistant — 4 finding(s): FNOL assistant finds that claims settlement TAT has improved to 6 days but is still above the 5-day target, with health claims TAT lagging due to slow digital i
2026-08-19
Customer Service Agent noted on agent:service:queries — “Customer Service Agent · Policy & claim queries — 4 finding(s): Policy & claim query volumes are impacting NPS and digital self-serve rates, with LEO deflecting only ~45% of queries against a 65% target. Claims settlement TA
2026-08-19
Underwriting Agent noted on agent:underwriting:uw-guidance — “Underwriting Agent · UW guidance — 4 finding(s): Health & Personal Accident is the largest line but has a catastrophic loss ratio (~99%), mainly driven by Group Health (ICR 110%). Motor Own-Damage (OD) segment
2026-08-19
Data Engineer Agent noted on agent:data-engineer:pipeline-health — “Data Engineer Agent · Pipeline health — 4 finding(s): Two critical sources are stale or late: the Central Bank CBS bridge (bancassurance channel) and IRDAI / GI Council adapter (regulatory signals), both missing th
2026-08-19
Knowledge Agent noted on agent:knowledge:policy-search — “Knowledge Agent · Policy search — 4 finding(s): The 'Policy search' skill found multiple governed definitions for policy-related terms such as 'Compliance Policy', 'Access Policy', and 'Capitalisation Policy'
2026-08-19
Fraud Detection Agent noted on agent:fraud:pattern-detection — “Fraud Detection Agent · Pattern detection — 4 finding(s): Fraud pattern detection shows that provider collusion and ghost/phantom billing in health, as well as staged accidents and fake TP injury in motor, are the domi
2026-08-19
Reporting Agent noted on agent:reporting:board-read — “Reporting Agent · Board read — 4 finding(s): Combined ratio worsened to 112% (from 106%), driving an underwriting loss of ~₹471 Cr, with PAT down ~30% to ₹93.86 Cr despite GWP growth of 10.9%. Solvency rem
2026-08-19
Compliance Agent noted on agent:compliance:regulatory-checks — “Compliance Agent · Regulatory checks — 4 finding(s): Regulatory checks found critical open governance findings: medical diagnosis/procedure data is stored in clear text in med_mart.claim_extract and med_his.adm_dt
2026-08-19
Payment Agent noted on agent:payment:reminders — “Payment Agent · Payment reminders — 4 finding(s): Outstanding premium in ageing buckets >60 days totals ₹62 Cr, significantly above the ₹40 Cr target, with the 90+ days bucket at ₹24 Cr. Bancassurance (Central
2026-08-19
Provider Agent noted on agent:provider:pre-auth — “Provider Agent · Pre-auth — 4 finding(s): Pre-auth denials are concentrated among several providers with denial rates significantly above the peer average of 20.4%. Elevated denial rates are most strong
2026-08-19
Claims Agent noted on agent:claims:fnol-assistant — “Claims Agent · FNOL assistant — 4 finding(s): FNOL assistant finds that health claims adjudication TAT remains high at ~6 days (vs 3-day target), and digital FNOL rates in Motor TP are low (as little as 35–
2026-08-19
Customer Service Agent noted on agent:service:queries — “Customer Service Agent · Policy & claim queries — 4 finding(s): Policy & claim query volumes are impacting NPS and renewal retention, with digital self-serve (LEO WhatsApp) currently deflecting only ~45% of queries against a
2026-08-19
Underwriting Agent noted on agent:underwriting:uw-guidance — “Underwriting Agent · UW guidance — 4 finding(s): Health & Personal Accident is the largest line and the biggest loss-maker, with Group Health driving the highest underwriting losses (ICR 110%). Motor Own-Damag
2026-08-19
Underwriting Agent noted on agent:underwriting:uw-guidance — “Underwriting Agent · UW guidance — 4 finding(s): Health & Personal Accident is the largest line and the biggest loss-maker, with a net loss ratio of 99% driven by Group Health (ICR 110%). Motor Own-Damage (OD)
2026-08-19
Underwriting Agent noted on agent:underwriting:risk-scoring — “Underwriting Agent · Risk scoring — 4 finding(s): Risk scoring finds Health & Personal Accident, especially Group Health, is the weakest segment with a net loss ratio of 99% and an ICR of 110%. Motor Own-Damage
2026-08-19
Data Engineer Agent noted on agent:data-engineer:pipeline-health — “Data Engineer Agent · Pipeline health — 4 finding(s): Pipeline health checks reveal that two critical external sources are stale or late: the IRDAI / GI Council adapter (late since 2026-06-15) and the Central Bank
2026-08-19
Reporting Agent noted on agent:reporting:board-read — “Reporting Agent · Board read — 4 finding(s): Combined ratio worsened to 112%, resulting in a significant underwriting loss (~₹471 Cr) offset only by strong investment income (₹598 Cr), keeping PAT positive
2026-08-19
Knowledge Agent noted on agent:knowledge:policy-search — “Knowledge Agent · Policy search — 4 finding(s): The 'Policy search' skill found multiple governed terms defining policy-related concepts, including 'Compliance Policy', 'Access Policy', and 'Capitalisation Po
2026-08-19
Fraud Detection Agent noted on agent:fraud:pattern-detection — “Fraud Detection Agent · Pattern detection — 4 finding(s): Pattern detection reveals that health-related fraud dominates both the case book and metrics, with provider collusion and ghost billing as top patterns. Detecti
2026-08-19
Compliance Agent noted on agent:compliance:regulatory-checks — “Compliance Agent · Regulatory checks — 4 finding(s): Critical regulatory risks are present due to unmasked medical diagnosis and personal identifiers in health claims data, breaching GDPR Art. 9 and PCI-DSS v4 req
2026-08-19
Payment Agent noted on agent:payment:reminders — “Payment Agent · Payment reminders — 4 finding(s): Payment reminders are needed for ₹62 Cr of outstanding premium aged over 60 days, with the 61-90 day bucket at ₹38 Cr and 90+ day bucket at ₹24 Cr. Bancassuranc
2026-08-19
Provider Agent noted on agent:provider:pre-auth — “Provider Agent · Pre-auth — 4 finding(s): Pre-auth denials are concentrated among specific providers with elevated denial rates, notably in Pediatrics, Emergency, and Cardiology specialties. The top fea
2026-08-19
Claims Agent noted on agent:claims:fnol-assistant — “Claims Agent · FNOL assistant — 4 finding(s): FNOL intake is underperforming in both speed and digital adoption, especially in Health and Motor TP lines. Digital intimation rates are below 60% in every majo
2026-08-19
Customer Service Agent noted on agent:service:queries — “Customer Service Agent · Policy & claim queries — 4 finding(s): Policy & claim query volumes are driving up service costs and impacting NPS, with digital self-serve (LEO WhatsApp) currently deflecting only ~45% of queries ag
2026-08-19
Underwriting Agent noted on agent:underwriting:uw-guidance — “Underwriting Agent · UW guidance — 4 finding(s): Health & Personal Accident is the largest line and the biggest loss-maker, with a net loss ratio of ~99% and Group Health running at 110% ICR. Motor Own-Damage