Agent Deployment Sprint

What this engagement does

We take the priority workflow from your assessment and decide where AI judgment belongs. Deterministic software handles the steps that need fixed rules. You receive a working agent with an audit trail, approval gates and evaluation evidence. The agent ships when it passes your evaluation baseline.

What you receive

• One production agent for one defined workflow, with an acceptance test agreed before we build
• Integrations with your existing ERP, CRM, and ticketing stack: scoped to the workflow
• We design around workflow failures and route cases the agent cannot resolve to a named person.
• Full audit trail and human approval gates: every agent action logged and reviewable
• We move from shadow mode through supervised autonomy to production only when measured evidence supports each step.
• Impact reported in business terms: cost savings, risk mitigation, revenue uplift, against a pre-launch baseline
• Your team receives the architecture documentation, runbooks and evaluation harness to operate and maintain the agent.

How the work progresses

1. Scope and access

   Observe the workflow with your team and map its exceptions. Agree an autonomy policy and acceptance test from your evaluation baseline.

2. Build the evidence

   Build the agent and integrations on your existing systems using vendor-supported tools. Add guardrails, an audit trail and evaluation gates in continuous integration.

3. Review and validate

   Start in shadow mode alongside your team, then introduce supervised autonomy when results meet the agreed acceptance test.

4. Handover

   Capture baseline metrics at cutover and walk through the runbook. Transfer the architecture documents and evaluation harness so your team can operate the agent.

Working together

• An assessment and AI Evaluation Baseline establish the scope and acceptance criteria. You can include both in this engagement.
• Fixed scope and price with the done-condition written into the statement of work
• The senior architect works directly with your team. We choose models for each task using measured accuracy and cost.
• Uses vendor-supported agent SDKs, MCP connectors and your systems’ native APIs. Your team owns and can maintain the deployed agent.
• We agree healthcare data handling requirements with your team. Before production, we review security using our agentic security methodology.

What can follow

• Use the assessment and deployment findings to choose the next workflow.
• Ongoing support covers evaluation after model updates, monitoring for drift and improvements to safeguards.