Claims that sit for a year don't need another analyst. They need an agent that never stops following up.
How we cut a transport operator's insurance claim cycle from 12 months to weeks without hiring a claims analyst.
Claim Resolution
12mo → Wks
Down from up to 12 months
Analyst Hire Avoided
0 Hires
No new headcount added
Fleet Uptime
Higher
Vehicles back in service sooner
Run the numbers on your own bottleneck
Plug in your headcount, salary, and weekly admin hours. See the financial bleed and the recoverable budget in real time, then bring the number to the review.
A large regional transport operator running a high-volume fleet depended on fast insurance claim settlements to keep buses on the road. Instead, claims were sitting unresolved for up to 12 months. The team burned hours manually tracking every email thread with insurers, litigating claim statuses back and forth, and watching vehicles sit idle waiting on payouts. The obvious next step was to hire a full-time claims analyst, which would have added recurring cost without fixing the underlying process. The bleed wasn't a headcount problem, it was a follow-up problem.
We deployed an NLP-powered Insurance Claims Agent that took ownership of the entire claim lifecycle. The agent ingests every inbound and outbound insurer communication, extracts the intent and status, and files each claim into a trackable workflow. It proactively monitors for stalls and automatically nudges both the client-side team and the insurer the moment a claim goes quiet. No more shared mailbox archaeology, no more status debates, no more claims falling through the cracks. As Paul Davies, COO at Bus Queensland, put it: what used to take months of manual tracking is now automated and seamless, and they avoided hiring the extra analyst entirely.
From Robbie's desk
A short, no-fluff read from our VP of Growth on the bottlenecks worth watching, the AI execution patterns that are actually shipping, and the numbers behind them.
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Most consultancies want to sell you a 12-month transformation roadmap. We don't. Every engagement starts with a blunt 15-minute operational review directly with our VP of Growth. We look at your bottleneck, work out where it's actually breaking, and tell you if an AI execution path makes sense. No pitches. Just operator to operator.