Bring AI into your architecture with clear ownership, tested integrations and a system your team can maintain.
Discuss Your ProjectThe decision to resolve
Build the parts that connect AI to real work: the application, business knowledge, system interfaces and a dependable operating process.
We start with the application, records and interfaces your team already relies on. The build defines how AI reads information, prepares work and requests changes through those systems. Available APIs and permissions determine what can be connected.
Knowledge systems retrieve relevant material from approved sources and connect answers to supporting passages. Source ownership, updates and access are part of the design. We evaluate what the search finds as well as the answer the model produces.
A multi-step workflow needs to track what has happened and what remains. The AI harness coordinates agents, software and people, with checks around tool use, interruptions and completion. We define where a person needs to review the work.
A useful architecture explains how the whole workflow behaves, including the paths that do not finish successfully.
Choose models against representative tasks, response time and cost requirements. Keep business-system interfaces explicit so changes to AI behaviour can be evaluated without obscuring what a connection may do.
Architecture and interface design
Trace information through source systems, retrieval, model requests and logs. Assess hosted, private or on-premise options against the actual data and operating requirements.
Data flow and deployment decisions
Define what happens when a tool is unavailable or an update has an uncertain result. The workflow needs a way to inspect progress and reconcile work before repeating an action.
Failure paths and recovery behaviour
Test agreed workflows and exceptions. Establish who maintains the application, updates its sources and reviews model or prompt changes after launch.
Acceptance results and operating guidance
Coordinate multi-step work across people, models and business software.
Build the application, integration and operational layers around the model.
Connect approved tools through scoped identities and explicit interfaces.
Your application owners and technical team help define the workflow, interfaces and operating constraints. We turn those requirements into a scoped build and review the evidence with you before release.
System boundaries, source ownership, connections and the responsibilities of the model, software and people.
Representative tasks, exception and failure cases, documented results and issues to resolve before release.
Handover guidance, monitoring and recovery responsibilities, support arrangements and the process for future changes.
Replacement is not assumed. We first assess the available interfaces, permissions and data. Some connections may need an adapter; others may require a narrower workflow or a change to the existing application.
Yes. A first build can address one defined workflow, such as source-linked knowledge search or preparing a request for approval. Its acceptance criteria and operating responsibilities are agreed before expanding the scope.