A 30-Day Agentic AI Roadmap: From First Use Case to Production
If you want results, you need a plan that is practical.
This 30-day roadmap is designed for teams that want to ship an agentic workflow safely.
Week 1: Pick the workflow and map the system
- Choose one workflow with a clear outcome
- Document current steps and pain points
- Identify systems involved and available APIs
- Define success metrics
Deliverable: a workflow spec with inputs, outputs, and stop conditions.
Week 2: Build tools and guardrails
- Implement tool endpoints with validation
- Add permission checks
- Add structured logging
- Build a dry-run mode
Deliverable: a tool layer you can trust.
Week 3: Add the agent loop and evaluation
- Implement decide, act, verify
- Build a small test set from historical cases
- Run evaluations and fix common failure modes
Deliverable: an agent that completes tasks in a controlled environment.
Week 4: Roll out and iterate
- Launch to a small percentage of traffic or a single team
- Require approvals for high-risk actions
- Track metrics and handoffs
- Expand capabilities based on evidence
Deliverable: a production workflow that saves time.
Closing thought
Shipping agentic AI is not a single model choice.
It is careful systems work. The payoff is automation that compounds.