Scroll to bring the components together.Scroll to assemble. Replay at a steady pace.An illustrative AI system. Model: Interprets requests. Instructions: Defines task and rules. Context: Provides current information. RAG: Retrieves business knowledge. Memory: Retains selected information. Orchestration: Coordinates the work. Agents: Carries out assigned tasks. Tools: Connects data and actions. Permissions: Limits access and actions. Human Approval: Brings people into decisions. Verification: Checks outputs and actions. State: Tracks work in progress. Recovery: Handles failures and retries. Monitoring: Records activity and issues. Components vary by project.
What We Build
For startups, mid-market companies and organizations with complex engineering requirements.
We build systems that coordinate multi-step work across agents, software and people. Workflow logic tracks progress, handles exceptions and checks results against agreed requirements.
Custom agents review information, prepare drafts and carry out agreed tasks in your tools. Their access and approval requirements are defined with your team.
Connect AI to your CRM, finance or operations software through APIs and purpose-built connectors. Each connection has defined access limits and controls for changes.
Fictional documents and answer. The passage “Get the budget owner’s approval before adding a new supplier” is highlighted in a supplier onboarding document. A short answer repeats that requirement with a matching source reference.
Knowledge Systems
Find answers across your documents, with links to the sources.
We build permissions, approval workflows and activity logging into AI systems. We assess agent and tool security and document the controls and findings for your team.
We develop AI applications around an agreed architecture and acceptance criteria. The work includes integration, pre-launch testing, handover and operational support.
