Explainable, Predictable AI
AI decisions are built on sophisticated, structured insurance intelligence. Every outcome is consistent and auditable for training and compliance purposes.
AI that works for insurance.
AI agents that integrate, automate, and explain every decision.
Prebuilt AI Agents that serve across the insurance value chain embedding directly into your existing systems to automate complex workflows while ensuring full transparency and control.
AI that can’t explain itself puts insurers at risk
Most AI solutions are black boxes, lack structured, predictable decision-making, and don’t integrate seamlessly across systems.
That's why we built Stitch.
A platform purpose-built for insurance, where every AI Agent is predictable, auditable, explainable, and under your control, orchestrating complex decisions, not just suggesting responses.
What makes us different?
Beyond Generative AI
Agent Orchestration
Stitch’s AI Agents go beyond chat—each one operates from a defined cognitive template that governs what it knows, what it can do, and how it behaves. Agents connect across data sources and systems connecting with other agents to complete end-to-end workflows.
Deep Insurance Knowledge
Our platform understands insurance, so Agents don’t just guess, they know. Your private cloud, single tenant solution is built on our extensive insurance data architecture and tailored to your organization.
Extensive Collection of Prebuilt AI Agents
We are building the most intelligent and largest collection of insurance-specific AI agents that work across your organization delivering unparalleled efficiencies and scalability.
Deployed Inside Your IT Environment
Stitch’s API-first design means you control data, workflows, and extensions. Plug directly into your existing stack, no need to rip-and-replace.
The Stitch Difference
Finally, AI that works for insurance—structured, transparent, and predictable
Built-In API Connectors
Pre-integrated connectors link to industry-specific services such as rating engines and address verification, accelerating deployment and reducing IT overhead.
AI-Ready Data Stores
Structured and unstructured data is cleaned, enriched, and contextualized for AI use to ensure accuracy, transparency, and regulatory and statutory alignment.
AI that operates inside your insurance stack—no disruptions, just better outcomes
Choose from a library of LLMs or use your own custom LLM
AI agents for every part of insurance
Quoting, Underwriting & Risk Assessment
Automate quoting, rating, validate coverages, and ensure compliance before policy issuance.
Policy Administration & Servicing
Extract insights, automate policy changes, and enhance customer servicing.
Compliance & Regulatory
Maintain full audit trails with AI-driven, transparent decision-making.
Claims Administration
Accelerate claims processing while maintaining human oversight where necessary.
Full control of your AI solution
Your AI, your rules.
- Your AI models are private and secure.
- You control every decision parameter.
- No third-party influence on your workflows.
- AI that operates within the context of your organization.
Results in 4 Weeks
From AI Adoption to Impact in 4 Weeks:
- Week 1: Discovery and agent setup
- Week 2: Configuration and demo
- Week 3: Testing and refinement
- Week 4: Finalization
Watch us build an AI agent from scratch
See how easy it is to build your own AI agent, configure key functions and stitch together data sources to create unparalleled efficiencies whenever you want.
Frequently asked questions
Change management is an important component to AI adoption. How do you introduce AI without causing disruption?
AI adoption doesn’t fail because of technology—it fails because of the human side of change. We designed Stitch’s AI platform for gradual adoption, making the transition easier:
Embedded AI Agents fit into existing systems, so teams don’t need to learn a new platform or workflow.
We focus on high-impact workflows like renewal quoting and structured file validation, delivering quick wins.
Customization keeps insurers in control, letting them fine-tune AI solutions without overhauling their workflows.
Change shouldn’t feel like an overhaul. It should feel like an upgrade.
With so many prebuilt LLMs available, why build your own approach? What’s different about your AI?
LLMs are great at understanding language, but insurance needs more than conversations with AI. Companies need structured decision-making and compliance.
LLMs speak the language. We make sure they understand the rules. Our platform connects AI agents across workflows, completing even the most complex tasks with human-in-the-loop design that's tailored to your rules and processes.
A lot of insurance operations still rely on on-premise systems. Does your AI solution only work in the cloud?
AI should meet insurers where they are, not force them into a cloud migration.
Cloud, Hybrid, or On-Prem: Our AI integrates into all environments, ensuring compatibility with legacy systems.
Secure API Integrations: Our prebuilt APIs connect to legacy systems without requiring insurers to move everything to the cloud.
Data Privacy & Compliance: On-prem deployments give insurers full control over data security.
There's no need for a data migration.
How do you protect sensitive data? How can we trust an AI solution with our information?
In insurance, data security isn’t just important. It’s non-negotiable. That’s why Stitch’s AI platform prioritizes security at every level:
On-Prem, Hybrid, or Cloud: We work within your IT environment, keeping you in control of data residency.
No Black-Box AI: Every AI-driven decision is predictable, explainable, and auditable, ensuring full transparency.
Secure API Integrations: Built-in security protocols protect data flow between internal and third-party systems.
We meet your security standards, not the other way around.
How are you incorporating AI into automation workflows?
Stitch agents act as modular automation units embedded in existing workflows. Each AI agent performs a specific task (e.g. proposal comparison, intake triage) and has the capability to pass context and data to other AI agents in that same workflow creating end-to-end processing capabilities.
Can this embed into our existing systems or do we have to access a new interface?
Yes, Stitch is designed to embed directly via API or widgets into your AMS, CRM, or proprietary systems so users don’t have to learn a new interface or context-switch.
Can this help us solve problems our core tech teams can’t reach?
That’s the goal. Stitch is designed to bridge legacy gaps by embedding AI logic in places where traditional systems fall short, especially in high-volume, low-ROI workflows that IT deprioritizes.
Are you using your own LLM or a common model?
We’re model-agnostic. You can use a common models such as OpenAI and Anthropic, or you can run models like LLaMA internally—we handle the workflows, functions, and context across pre-built agents that can run on any LLM.
How do you prevent bad training from replicating across organizations?
Our AI Agents don’t share data across orgs. Each deployment is a private tenant. Stitch learns from your data only, and human-in-the-loop approval gates propagation of bad information.
How do you align with our internal innovation frameworks and compliance?
We deploy into your cloud, honor your infosec rules, and don’t move your data. We’re SOC 2 Type II and support secure AI sandboxing.
Can you work with mainframes?
Yes—while the ideal is API, we’ve worked with flat file exports, terminal-based data pulls, and custom middleware to bridge Stitch to legacy environments.