Verisk is moving deeper into insurer AI workflows as customers shift from pilots toward broader deployment. The second quarter of 2026 brought new AI connectors, faster XactAI adoption and continued Core Lines Reimagine releases, giving investors more evidence of customer engagement. The question now is whether that engagement converts into sustained pricing power and recurring revenue growth while Verisk contains personnel, technology and data costs.
Verisk expands AI access through Anthropic
In May 2026, Verisk launched two Model Context Protocol connectors with Anthropic for underwriting and claims. The tools bring Verisk data and analytics into Claude workflows while keeping retrieved data within the client session and out of model training. The move broadens access to Verisk's proprietary datasets without giving up governance controls.
For insurance professionals working with AI systems, this approach to data governance may be worth monitoring. The MCP framework is gaining traction across the industry as carriers look for ways to connect internal data with AI models while preserving security.
Guidewire Software is pursuing a similar theme, launching an Agentic Framework in August 2026 to help insurers build and manage AI agents inside its cloud platform.
XactAI adoption accelerates sharply
XactAI users increased nearly tenfold since March 2026 to almost 7,000 licensees. The platform supports claims tasks such as summaries, photo labeling, document data extraction and estimating recommendations.
That uptake provides a tangible adoption marker as insurers seek efficiency in claims workflows. Competitors are seeing similar patterns. Intelligent Solutions Holdings has reported that AI-based solutions represented about 11% of its second-quarter 2026 revenues, a sign that AI is moving beyond pilots across the sector.
Core Lines Reimagine scales across insurance lines
Verisk released seven Core Lines Reimagine modules in the second quarter and remains on track to deliver 25 in 2026. The rollout expands the company's ability to embed updated data, analytics and workflow capabilities across core insurance lines.
Verisk has been increasing prices during contract renewals alongside these AI and data-driven enhancements. A broader module set gives the company more room to support pricing through product improvement rather than raw price hikes.
Subscriptions tie innovation to retention
Subscriptions represented 83% of second-quarter 2026 revenues, up from 82% a year earlier, while subscription revenues grew 8% on an organic constant-currency basis. That recurring base gives AI-enablement enhancements a direct route into renewals and annualized recurring revenue.
Earnings estimates for 2026 and 2027 were revised upward by 0.6% and 0.5% to $7.67 and $8.71 per share respectively over the prior 60 days. The key test for Verisk - and for the insurance sector's broader AI thesis - is whether greater adoption translates into sustained pricing, retention, and recurring growth rather than simply higher technology spending.
For insurance teams tracking these developments, the AI for Insurance resource covers practical applications of tools like XactAI and broader claims automation trends.
Balancing AI investment with execution costs
Second-quarter cost of revenues rose 1.7% year over year, partly because of higher personnel, benefits, IT and data costs. Selling, general, and administrative expenses increased 20.8%.
Technology exposure also brings operational risks. Cybersecurity breaches, dependence on external data sources, and misuse of data by third-party contractors could hurt customer trust or create contractual and pricing issues.
Why this matters for insurance professionals
The adoption numbers are real, but the disciplined verdict is still unproven. For claims managers, XactAI's user growth suggests that AI-assisted photo labeling, document extraction and estimating workflows are becoming standard tools rather than experimental pilots. For underwriters and operations leaders, the MCP connectors with Anthropic point toward a future where carrier data stays inside governed sessions while AI models assist with decisions.
The financial test for Verisk applies equally to its customers: the carriers that translate these tools into measurable cycle-time reduction and loss-cost improvement will renew at higher price points. Those that deploy AI without clear ROI benchmarks will find their contracts - and their budgets - under the same scrutiny as Verisk's own renewals.
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