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NPLUSGLOBAL

AI & Automation · · 7 min read

How to Launch Your First AI Agent Pilot in Six Weeks

A week-by-week plan for launching a first AI agent pilot — choosing the use case, setting a baseline, building safely and measuring results.

Team gathered around a laptop reviewing an AI prototype

Most AI initiatives stall not because the technology fails, but because the first project is too broad, has no baseline, or never reaches real users. A focused six-week pilot avoids all three.

  1. 01 · Stage

    Weeks 1–2

    • Pick use case
    • Measure baseline
  2. 02 · Stage

    Weeks 3–4

    • Guardrails
    • Build & integrate
  3. 03 · Stage

    Week 5

    • Shadow testing
    • Refine
  4. 04 · Stage

    Week 6

    • Go live
    • Compare to baseline
    • Scale decision
AI agent pilot timeline across six weeks.

The six-week plan

  • Week 1 — Choose the use case

    Look for work that is frequent, repetitive and rules-based, such as ticket triage, lead qualification or invoice entry. Agree a single business owner.

  • Week 2 — Measure the baseline

    Record today's volume, handling time, error rate and cost per task. Without a baseline, results are just opinions.

  • Week 3 — Design guardrails

    Define what the agent may and may not do, which systems it can access, when it must ask a person and how actions are logged.

  • Week 4 — Build and integrate

    Connect the agent to the necessary systems with scoped credentials and build an evaluation set of real examples.

  • Week 5 — Test with real cases

    Run the agent in shadow mode or with approval required. Review every output and refine instructions and tools.

  • Week 6 — Go live and measure

    Release to a small group, compare against the baseline and decide whether to scale, adjust or stop.

Success criteria to agree up front

  • Time saved per task and in total each week.

  • Accuracy compared with human handling on the same cases.

  • Percentage of cases handled without escalation.

  • User and customer satisfaction.

FAQ

Frequently asked questions.

What is a good first AI agent use case?

High-volume, repetitive work with clear rules and measurable outcomes — for example support ticket triage or lead qualification.

How much data do we need?

Usually less than expected: your existing documentation, policies and a set of real historical examples for testing.

What if the pilot doesn't meet targets?

That is a valid result. A clear baseline lets you decide quickly whether to adjust the approach or choose a different use case.

Let's talk about what NPLUS Global can do for you.

Tell us about your goals. A specialist will get back to you with practical next steps.