Map the work
We start with the process people already do by hand and write down the real path, including exceptions and approvals.
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Use casesAgentic applicationsRAGUnified data searchDocument intakeIT operationsSecurity operationsLead automationCRMIntegrationsBackend prototyping
Approach from workflow to agent
Build the operating layer before you chase the perfect model.
The useful agent is not just a chat box. It knows the task, reads the right context, calls the right tool, asks for help at the right moment, and leaves a record behind. Our approach starts with the work your team already understands, then turns the hidden rules and handoffs into something a system can run consistently.
Method
Give the agent tools
The agent gets only the systems, knowledge, and actions it needs. Nothing vague, nothing magical.
Run it with a trace
Every decision, tool call, handoff, and human review stays visible so the team can trust the outcome.
Ship the first version
The same workflow moves into production, then improves from real runs instead of another isolated pilot.
Platform
The pieces that make an agent safe enough to use.
Knowledge
Policies, docs, tickets, CRM records, and product context.
Tools
APIs, databases, inboxes, support systems, voice, and internal apps.
Control
Approvals, guardrails, RBAC, audit logs, and deployment choices.
Review
Replayable runs, traces, evaluations, and a clear place to debug.
Ready
Choose one workflow. Make it real.
A good first agent is small enough to ship, important enough to matter, and clear enough that your team can inspect every run. It should save someone time on the first week, create evidence for the next decision, and have a safe answer for the cases it cannot handle alone.
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