OutSystems Launches Agentic AI Claims Solution for Insurers

OutSystems has launched an agentic claims solution aimed at modernizing how insurers manage policyholder experiences. The offering applies agentic AI — software agents capable of taking autonomous action rather than simply assisting a human operator — to the claims process, a part of the insurance journey long criticized for slow handling, manual paperwork and inconsistent communication.

The announcement positions OutSystems, known primarily as a low-code application development platform, as a vendor moving further into AI-driven process automation for a specific, high-friction industry workflow: claims handling. Details on the solution's exact capabilities, rollout timeline and insurer partners were not disclosed in the available reporting.

Claims is the moment insurance customers judge a provider most harshly — it's the point where promises made at the point of sale are tested in reality. An agentic approach suggests insurers may be able to move beyond chatbots and workflow automation toward systems that can independently progress a claim: verifying information, triggering next steps, or flagging exceptions without waiting on a human to drive each stage. That shifts the role of claims staff from processing paperwork to managing exceptions and judgment calls, which has real implications for staffing models, training and oversight.

For digital transformation leaders, this is another signal that agentic AI is moving from experimentation into vertical-specific, production use cases. Insurance is a natural testing ground because claims are repetitive, data-heavy, and governed by rules — exactly the conditions where autonomous agents can add speed without necessarily sacrificing control, provided governance keeps pace.

An "agentic" label is doing a lot of work here, and the real test isn't whether an AI agent can touch a claim — it's whether policyholders feel the difference during the worst moment of their relationship with an insurer.

Most coverage of agentic AI in insurance will focus on the technology; the harder question is whether speed translates into trust. A faster claim that still feels opaque or impersonal won't fix the experience — it will just fail faster. Operators adopting this kind of solution should design explicitly for the moments where a human needs to step back in: a denied claim, an ambiguous case, a customer in distress. The organizations that win here won't be the ones that automate the most steps, but the ones that know precisely which steps should never be automated.