AI Interface on Top of Your Existing Product
Add natural-language interfaces on top of your existing systems and SaaS products. A governed interface layer that connects to your data, business logic, and access controls.
The problem
Complex enterprise systems and SaaS products hold valuable data and business logic, but the interfaces built around them often slow people down. Users navigate through multiple screens, learn specialized workflows, and work around limitations that have been there for years. Time, effort, and errors pile up in the same places.
For many teams, the next step is not replacing what works. It is unlocking more value from what is already there.
What we build
We add a natural-language interface that sits on top of your existing data, business logic, and access controls. The interface layer can connect through APIs, tools, and Model Context Protocol (MCP) integrations, so the right systems stay reachable in a controlled way. This is not a chatbot bolted on the side. It is a governed interface layer built for real-world security, compliance, and production operations.
Users interact with your systems through conversation, and the interface handles the complexity underneath. The same role-based permissions, data validation, and audit trails apply. The difference is that people get things done faster with fewer errors.
How we work
We start by mapping how the application is built, how it is used today, and where time, effort, and errors concentrate. We look at the systems, APIs, and MCP surfaces already in place, then design and implement the right interface patterns for your highest-value scenarios. The solution fits your current architecture and meets production requirements from day one.
Architecture, delivery, security, and automation move together. We build in short iterations, validating with real users at every step. Knowledge transfer is part of the engagement, so your team can maintain and extend the solution independently.
Key Technologies and Delivery Foundations
- Microsoft Foundry
- Microsoft Agent Framework
- Semantic Kernel
- Model Context Protocol (MCP)
- LLM gateway
- Guardrails
- Evaluation harness
- Temporal (durable workflow execution)
- Audit log and monitoring
- Regulatory compliance alignment (EU AI Act, GDPR, ISO 27001)
- Understanding and optimizing cost of token use
- Help building the business model for AI