Agentic AI Implementation Plan Template: Idea to Pilot

1. 1Pick one workflow
2. 2Write the model and the limits
3. 3Run a 30-day pilot and decide

One page a decision owner can read, challenge and sign off.

An agentic AI implementation plan has six steps: one workflow, the operating model, its evidence, the agents' limits, a 30-day pilot and a decision on the numbers. A small team can finish it in about two weeks of part-time work.

Most plans jump from the idea straight to the platform. Someone chooses a tool, a vendor or a model, and the questions about the work itself are left for later. This guide covers the part in between, what the missing middle describes, written as six steps a team can finish in about two weeks of part-time work, before anything is built.

The result is a one-page agentic AI implementation plan that a decision owner can read, challenge and sign off. It is also a plain AI pilot plan: it says what the agent does, what it may not do and what number decides whether it stays. If you are not sure the team is ready to write it, run the twelve-point readiness check first.

Step 1: pick one boring, valuable workflow

Write down: one workflow, the person who does it today, how often it happens and what a correct result looks like. Who: the person who runs the work, with the sponsor.

Good first workflows are high in volume, repetitive and have a clear correct outcome. The actions they need are low in risk, so a wrong answer is caught and fixed before it reaches a customer. Matching supplier invoices to purchase orders qualifies. A firm-wide customer assistant does not.

Common mistake: choosing the most exciting idea. The first project is for learning how your team works with an agent. Pick the one you can measure, not the one you can demo.

Step 2: write the operating model

Write down: the inputs, the decision points, who owns each decision and what the agent may do alone compared with what it must propose. Who: the process owner, with someone who does the work daily.

This is what the app calls the operating model: the current description of the operation the AI will join. The wider product concept is the Agentic Brain. List every point where a person decides something today, then mark each one: the agent does it, the agent proposes and a person approves, or a person keeps it. A model of the real process, including its workarounds, is worth more than a tidy one.

Common mistake: describing the process as it is documented instead of as it happens. Ask the people who handle the exceptions.

Step 3: gather the evidence and the data

Write down: what the agent reads, who maintains each source, what it must never touch, and five test cases. Who: the data or system owners, with the process owner.

Choose the test cases before you tune anything. Include two routine cases, one with a missing field, one where two sources disagree, and one where the right behaviour is to stop and ask. Keep sensitive records out of planning documents; describe them and get an approved way to evaluate them.

Common mistake: testing only on tidy examples. The ugly cases are where the plan is tested.

Step 4: set agent limits and guardrails

Write down: which actions need approval, what is logged, how an action is undone and the stop rule. Who: the process owner, with whoever owns risk and security for the area.

Keep the limits specific. "The agent drafts a reply and a coordinator approves it" is a limit. "The agent will be careful" is not. Decide what record is kept for every action, who can switch the agent off and what happens to work in progress when they do. The stop rule is one sentence, such as "stop and review if more than one in ten outputs needs correction in a week".

Common mistake: treating governance as a final review. Limits written in week two shape the build; limits discovered in week eight stop it.

Step 5: run a 30-day pilot

Write down: the baseline number, the weekly review dates and the keep, extend or stop decision, written before day one. Who: the named owner, with a weekly reviewer.

Measure the current figure first, for example handling time per invoice query over the last month. Review outputs weekly with the same reviewer, and record what was corrected and why. Count the review time against any saving. Agree what the owner will do at day 30 for each outcome before the numbers arrive.

Common mistake: setting the success measure after seeing the results. A threshold chosen afterwards is only a story.

Step 6: decide to scale, extend or stop

Write down: the decision and the reason. Who: the decision owner.

Hold a single review meeting with five items:

1. The baseline and the pilot result, side by side.
2. The cases the agent got wrong, and which limit caught them.
3. The review effort the pilot needed each week.
4. What would have to be true to widen the scope.
5. The decision: scale, extend with a named change, or stop.

Stopping is a valid result. Record what you learned and what would reopen the idea.

Common mistake: extending the pilot by default because nobody wants to decide.

The implementation plan template

Copy this table and fill in one line per row. The example column uses a modest case: supplier invoice queries in an operations team.

Row	What to write	Example
Workflow	The one task, in a sentence	Answer supplier queries about invoice status
Owner	One named person	Head of accounts payable
Trigger	What starts the task	A supplier email arrives in the shared inbox
Inputs	What the agent reads	The invoice register and the purchase order record
Agent may do alone	Safe, reversible actions	Look up status and draft a reply
Agent must ask	Actions a person approves	Send the reply; promise a payment date
Agent must never	Hard exclusions	Change a payment, a bank detail or a record
Evidence and test cases	The five cases	Routine, missing invoice number, two sources disagree, disputed amount, a request to change bank details
Success number and baseline	The figure and its current value	Average handling time, now 9 minutes
Review dates	Weekly, plus day 30	Fridays; decision on day 30
Stop rule	When to halt	More than one in ten drafts needs correction in a week

If a row stays empty, that is a finding, not a formatting problem. Give it an owner and a date.

How the canvas produces this plan

Agentic AI Canvas builds the plan from a conversation about your workflow. The intake records your answers as evidence and marks what is still unknown. They become the operating model, and from that model the app prepares the Solution blueprint, the Solution diagram, the Agents and the Implementation plan, plus a Security Review that organises questions for qualified review. The outputs guide explains what each one contains and when it goes stale.

The sections in the Canvas guide map onto the steps above: the use case is step 1, stakeholders and workflow are step 2, systems and constraints are steps 3 and 4. For the value row, see Agentic ROI. The app gives you a starting plan for review; the delivery team still confirms feasibility, responsibilities and cost. Check the team is ready with the agentic AI readiness check.

Frequently asked questions

How long does a first agentic AI pilot take?

The planning in this guide takes about two weeks of part-time work. The pilot itself is 30 days, with a weekly review. Build time depends on the systems involved, so estimate it after the plan names them.

What should the first agentic AI project be?

A repetitive, high-volume task with a clear correct answer and low-risk actions, owned by one person. It should have a number you already track. It should be a task you would be comfortable checking by hand.

What is the difference between an AI roadmap and an implementation plan?

An agentic AI roadmap says what you intend to do over months and in what order. An implementation plan describes one project in enough detail to approve it: the workflow, the limits, the evidence, the test and the decision. Write the plan for the first project, then let the roadmap follow from what it teaches.

What are good AI pilot success criteria?

One number you already track, measured before the pilot starts, with review dates and a keep, extend or stop decision written down before day one. Count review time against any saving.

Plan your first pilot in Canvas.