Aviva Ventures Backs Indico Data to Speed AI Automation Across Insurance
Aviva Ventures has invested in Indico Data, boosting the Boston- and London-based firm's push into AI-driven automation for insurers that deal with mountains of unstructured information. The goal: expand adoption in the London Market and strengthen Indico's credibility with property and casualty carriers globally.
As part of the deal, Arslan Hannani, Aviva's Chief Innovation Officer, will take a board observer seat and advise Indico's leadership. This adds more than capital-Aviva now has direct visibility into Indico's product direction and traction.
Tom Wilde, CEO of Indico Data, framed the move as a shift in how carriers run their front-end processes. Submission intake, claims workflows, and policy servicing still lean on documents, emails, and PDFs. "Aviva's investment and Arslan's participation on our board validate Indico's vision for the agentic insurance enterprise and our mission to help carriers turn unstructured data into competitive advantage," he said.
Why This Matters for Carriers
Underwriting and claims teams are drowning in submissions, forms, contracts, bordereaux, and reports. Manual triage and rekeying slow cycle times, increase leakage, and frustrate brokers and customers.
Intelligent automation at the "front door" of the business-submission ingestion, claims intake, and policy servicing-can lift throughput while improving consistency and auditability. That's where Indico is focusing.
Indico's Angle: Agentic AI for Unstructured Work
Indico was founded on a simple idea: the most valuable enterprise data is the hardest to use. Instead of chasing clean forms, the company built an Agentic AI platform to interpret real-world content-contracts, claims, reports, and submissions-without brittle rules or black boxes.
The pitch is straightforward: let AI classify, extract, and route unstructured documents, then keep humans in the loop for exceptions and judgment calls. The aim is better speed, quality, and control across underwriting, claims, and operations.
Aviva's Take: Productivity Over Hype
Hannani highlighted measurable impact in complex markets like London, where processes often bog down. "We've seen firsthand the impact Indico is having in streamlining operations and unlocking new efficiencies… We're excited to support its continued growth."
For Aviva, this fits a broader strategy of backing tech that moves insurance and financial services away from legacy models. The investment also supports practical AI embedded inside day-to-day work-not pilot theater.
Market Signal: Guidewire Also Invested
Earlier in 2025, Guidewire invested in Indico, signaling confidence from a core systems leader. That matters for integration paths and go-to-market momentum with carriers already on modern policy, billing, and claims stacks.
Where to Start: Practical Steps for Insurance Teams
- Pick one intake workflow with heavy document volume (e.g., broker submissions, FNOL, endorsements, bordereaux). Define a narrow, valuable slice.
- Run a 4-6 week proof-of-value on real documents. Baseline metrics: cycle time, touch time, straight-through rate, triage accuracy, and leakage.
- Keep humans in the loop for exceptions while letting AI handle repetitive classification and extraction.
- Integrate with your core systems and document repositories. Focus on clean handoffs and clear audit trails.
- Set governance early: privacy, retention, monitoring, and model performance reviews tied to business KPIs.
- Enable the frontline: underwriters, claims handlers, and operations leads need simple interfaces and feedback loops.
The Bottom Line
Aviva's investment-and Hannani's board observer role-gives Indico Data industry validation and a stronger path into the London Market. With multiple carriers already live on its Agentic AI platform, the focus now is clear execution in underwriting, claims, and operations.
If you're evaluating AI for intake and document-heavy workflows, start small, measure what matters, and scale what works. For upskilling your teams on AI in insurance, explore curated options here: AI training by job role.
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