Your systems.
New AI possibilities.
Bring useful AI capabilities into the applications, data and workflows your business already uses.
Illustrative integration concept (for illustrative purposes)
Simulated demonstration
Useful intelligence.
Where work already happens.
Add AI capabilities to your existing applications, data and workflows — in a way that fits your users, processes and business goals.
Simulated demonstration
Add AI to the experience.
Keep your workflow familiar.
Give your users helpful AI capabilities inside the applications they already use — with a familiar experience and relevant business context.
Illustrative embedded AI feature (for illustrative purposes)
Practical AI capabilities for your systems.
A flexible set of capabilities that can be integrated into your products and tailored to your business needs.
Embed an AI assistant into your application’s interface and workflows.
→Find and surface relevant information from your business data and documents.
→Turn long content into clear summaries or draft responses for your users to review.
→Convert unstructured content into structured information for your systems.
→Integrate with the right models and providers through secure APIs and your stack.
→Suggest next steps or draft responses for your users to review.
→Different products. Meaningful possibilities.
The same AI capabilities can be applied in different ways across your products, helping your users get more done.
Customer portals
Embed answers to common questions and get support.
Internal workspaces
Retrieve and summarize approved knowledge.
Operations dashboards
Summarize and organize incoming information.
Connect the right context. Deliver a useful response.
Design access, retrieval and response behavior around your application and users.
Built around your stack and your scope.
Whether you are adding a single feature or integrating across multiple systems, we design the solution to fit your technical environment and business needs.
Work with your existing systems and integrations.
Choose the right models for your use case.
Embed AI into the right parts of your product.
Control is part of the integration.
Design appropriate controls for your data, users and use cases.
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Control what data the AI can access and use.
Review and refine responses for your use cases.
Require review before important actions.
Handle edge cases and monitor usage in real scenarios.
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Test the feature. Refine the experience.
Evaluate with representative tasks, real constraints and real users.
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Check quality and relevance.
Verify information and references.
Explore edge cases and failure handling.
Gather feedback from real users.
From use case to working integration.
A structured approach to design, build and launch AI capabilities in your application.
- 01DiscoverUnderstand goals, users and context.
- 02PlanPlan the experience, data and controls.
- 03ConnectIntegrate with your systems and chosen providers.
- 04EvaluateTest with real scenarios and refine.
- 05Launch & refineRelease and continue to improve.
Define the right integration for your business.
Identify the right problems to solve.
Understand available data and access needs.
Plan integrations and model selection.
Define how to test, launch and manage usage.
Can you add AI to our existing application?
Yes. We design AI features around your current application, data and workflows.
Can it use our business knowledge?
Yes. Retrieval can be designed around approved documents and records, with appropriate access controls.
Can we choose the AI provider?
Yes. We help you compare and select providers and models for your use case.
Can important actions require approval?
Yes. Human approval steps can be built in for sensitive or important actions.
How are ongoing usage costs handled?
Usage costs depend on the provider and volume; we plan and review them with you.
Connect across systems and unlock more value.
Make AI useful
inside your business.
Turn your existing systems into more capable, more efficient tools — designed around your users and real work.