Coordinate work across systems
Build an orchestration layer that brings together context, agents and existing workflows. Define which actions it can take, when work needs approval and how it handles exceptions.
AI automation & agents
Connect your tools, data and workflows to AI agents. From the first use case to deployment and handover, get the engineering to make AI part of how your business works.
Built around how you work
Ask in everyday language
Give your team a conversational way to find information and initiate work. A request can gather account context, prepare a proposal or start an onboarding workflow, with results returned in one place.
Connect the tools you use
Bring CRM, email, documents and internal systems into the workflow. Use available connectors, APIs and Model Context Protocol (MCP) where supported, with custom integrations for your business.
From workflow
to working system
Start with a business process and the tools it touches. Agree the scope, required access and success criteria before building. If you already have code, an AI audit can help identify what to reuse.
See the AI audit- 01
Map the workflow
Identify the people, tools, data and decisions involved. Choose a first use case and define the outcomes and approval points.
- 02
Build and test together
Connect the systems, implement the interaction and test complete workflows with your team. Check permissions, failures and handoffs alongside everyday requests.
- 03
Deploy and hand over
Roll out in your environment with monitoring and recovery in place. You receive the code, tests, operating instructions and a walkthrough so your team can run and extend it.
Discuss a project
Describe the task, the software involved and what you need to change.
Request a 30-minute call