First Agent Roadmap

Choose the first AI agent your business should actually build.

The roadmap turns workflow discovery into a scoped implementation plan: what to automate, what to review, what tools are involved, and how success will be measured.

Roadmap goal

One workflow, one owner, one measurable launch.

The first agent should be practical enough to ship, controlled enough to trust, and valuable enough to justify expanding.

Roadmap structure

How the first-agent plan comes together.

  1. 01

    Map the workflow

    We document the task as it actually happens: inputs, tools, decision points, handoffs, exceptions, and the people who own the outcome.

  2. 02

    Choose the first agent

    We score opportunities by value, complexity, risk, and adoption fit so the first build has a real chance of proving value.

  3. 03

    Design the controls

    We define what the agent can read, draft, send, update, escalate, and log before it ever touches production work.

  4. 04

    Build and integrate

    We connect the agent to the tools already in use and test it against real examples from the workflow.

  5. 05

    Launch, measure, refine

    We start with a controlled rollout, review the misses, tighten prompts and rules, and expand only where the workflow is stable.

Good first agents

They solve a visible, repeated problem.

  • Repeated weekly volume
  • Clear inputs and outputs
  • Known review owner
  • Measurable business result
Bad first agents

They are vague, risky, or hard to judge.

  • No clear workflow owner
  • Too many systems at once
  • Sensitive actions without review
  • No obvious success metric
Roadmap

Find the first agent before
buying more AI tools.

Request a roadmap