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Home/Blog
From the blog

Ideas & playbooks for AI-first teams

Guides, case studies and automation playbooks to help your business get more from AI.

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Case study July 20, 2026

Pharmacovigilance case processing at 3x throughput

Adverse event intake and coding were automated, letting safety teams handle rising case volumes within regulatory timelines.

Case study July 20, 2026

Compiling regulatory submission documents in days, not months

Document assembly and consistency checking across study data accelerated regulatory filings for a biotech firm.

Case study July 20, 2026

Reducing renewal lapse rates with predictive outreach

At-risk renewals were identified early and matched with the right retention approach, lifting retention meaningfully.

Case study July 20, 2026

Automating policy servicing across 120,000 policyholders

Routine policy changes and questions were handled without agents, cutting service costs and wait times.

Case study July 20, 2026

Underwriting support that halved quote turnaround

Risk data gathering and document analysis were automated, letting underwriters price more submissions per day.

Case study July 20, 2026

Detecting claims fraud patterns worth $1.8M annually

Anomaly detection across claim histories surfaced organised fraud patterns invisible in individual claim review.

Case study July 20, 2026

Cutting claims intake time from 40 minutes to 6

First-notice-of-loss was captured from calls, emails and web forms into structured claims automatically.

Case study July 20, 2026

Personalising plan recommendations at 400,000 subscriber scale

Usage-based plan recommendations reduced bill shock complaints and increased voluntary upgrades.

Case study July 20, 2026

Cutting field engineer wasted visits by 44%

Better diagnosis before dispatch and smarter scheduling reduced no-fault-found visits across a field engineering team.

Case study July 20, 2026

Predicting network faults before customers report them

Telemetry analysis identified degrading network segments early, allowing proactive maintenance and customer notification.

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