20-50x ROI, +45% lift in adherence to target, 90% rep adoption, live across US + EU.

Commercial teams in healthcare and pharma work across a maze of CRM, BI, access, pricing, and patient-support systems - stitching the picture together by hand, inside two regulatory regimes, while payer-side AI rejects claims at scale. Lily consolidates it into one compliant, rep-facing surface: account intelligence, pricing, and access in one place, governed by your rules, with no parallel data plane and no shadow IT.
One compliant surface. No shadow IT. AI that works inside your stack.
Veeva, SAP, Dynamics, BI, hubs, pricing tools.
Account intelligence, pricing, access, next best action.
Payer/claims risk, pricing guidance, target priorities.
Field, access, patient-support, and hub teams stay in sync.
BD, in-licensing, and commercial actions in hours, not weeks.
Consolidates BI, account intelligence, and pricing into a single rep-facing surface, with payer/claims risk and next best action per target.
Aligns commercial, access, and patient data so gaps surface early, and stitches market data into one view for BD - HIPAA/BAA-ready by default.
90% rep adoption - far above the 20-30% CRM norm - with new reps productive in their first week, not after months of ramp.
+45% adherence to target and 20-50x ROI on the Kedrion Biopharma deployment, live across both US and EU and returning ~1.5 FTEs per 25 reps.
Every connection runs under your governance: BAA, audit trails, no shadow IT.
Veeva, SAP, Dynamics, Azure, and your BI feed one governed surface, nothing duplicated.
20-50x ROI, +45% lift in adherence to target, 90% rep adoption, live across US + EU.

Pricing automation with supplier price-list ingestion, anomaly detection, and JD Edwards Price Master writeback; supporting a $75-100M cost-savings target.

Email routing/classification + PO/quote automation with EDI 855/856 and phone intake; duplicate POs cut from ~2,500 to ~100.
