Capability
Workflow and authority design
Define the task, tool access, decision boundaries, approval points, and escalation paths before implementation.
AI Engineering / Agentic Systems
Give AI a defined job, the right tools, and clear limits.
Build agents that coordinate multi-step work, use approved systems, ask for input, and expose what happened.
Discuss this serviceThe business problem
What brings this work into focus.
A workflow spans several systems and decisions, but a chatbot can only answer questions. The business needs software that can plan steps, use approved tools, request human input, and recover when conditions change.
System delivery
Define the boundary, build the capability, and prepare it for real use.
Define the system
Build in working slices
Measure and operate
Capability
Tool-using agent development
Build agents that read context, call business systems, complete multi-step work, and return an auditable result.
Capability
Operational safeguards
Add state handling, retries, fallbacks, observation, and evaluation for the situations the agent will face.
Working outputs
What the engagement produces.
- Agent workflow and authority map
- Agent service with documented tool contracts
- Evaluation set and operating runbook
Fit guidance
Use the approach that matches the constraint.
This is useful when
Appropriate when work involves variable decisions or multi-step coordination that cannot be captured reliably in a fixed automation.
A simpler path may be better when
Use a deterministic workflow, script, or single model call when the steps and outcomes are predictable.
Related offerings
The adjacent work that often matters.
Start a conversation
Talk with us about agentic systems.
We will help you identify the useful first move and say plainly when a simpler option is the better answer.