Context
Organize the company knowledge AI needs: examples, documents, data, rules, training, and expert judgment.
Agent-ready workflows · A point of view from the Build service
Agents come after context, process, controls, and trust.
We help companies build the foundation agents need: mapped workflows, organized business knowledge, tested AI workflows, human review points, and adoption habits.
Point of view
Do not start by naming everything an agent.
Start by making the work understandable, supported by context, and safe enough for AI to assist. Then decide where agents make sense.
Tested workflows
Build controlled, tested ways for AI to retrieve, draft, check, classify, summarize, route, or prepare decisions.
Agents
Combine those tested workflows into multi-step automation only when review points, ownership, and governance are clear.
What gets built first
Agent readiness is an operating model, not a chatbot label.
Layer 1Data & systems
ERP records, documents, job history, the tools you already run
Layer 2Context & SOPs
Organized knowledge, decision rules, examples of good work
Layer 3Human review gate
Approvals, escalation points, and what AI may never decide
Layer 4AI agent actions
Multi-step work, taken only inside the boundaries above
01
Workflow map
The process, handoffs, exceptions, approval points, and business outcome are documented before build work starts.
02
Context layer
Documents, examples, data, spreadsheets, SOPs, and decision rules are organized around the use case.
03
Tested workflows and actions
AI is given controlled ways to retrieve information, draft output, check details, route work, or prepare next steps.
04
Human review and controls
The workflow defines what AI can do, what requires approval, what should be logged, and where escalation happens.
Where agents may fit
The right agent use cases are narrow enough to trust and useful enough to matter.
Retrieve and prepare
Pull forward the right context, summarize it, and prepare a packet for review.
Check and flag
Compare work against rules, requirements, prior examples, or known exceptions.
Route and follow up
Move work to the right owner, draft the next message, and track open items.
Coordinate steps
Help complete multi-step workflows when systems, review points, and permissions are defined.
Start here
Build the foundation before you build the agent.
We can help map the workflow, organize the context, define controls, and decide where agent-supported work makes sense.