Start with what the customer is waiting for

Before choosing an agent or a workflow, describe the useful result in ordinary language. A customer wants an answer they can act on. A colleague wants a quotation ready for a decision. A founder wants a new service that people can actually use. These outcomes help distinguish useful progress from activity.

For an illustrative quotation workflow, the result might be a proposal with the correct scope, confirmed availability and an approved price, ready for the responsible person to send. Gathering information is a step towards that result. Asking another agent to check availability is another step. Neither makes the quotation ready on its own.

Agree what finished means before work begins. Keep the definition proportionate: a short internal summary needs a lighter check than a customer commitment. People should be able to explain the difference without reading a technical manual.

Keep one owner from request to result

The initiating owner should know what is still missing, who is working on it and what happens next. Specialists can take responsibility for their contributions while one owner keeps the whole customer request in view. This is the rule I am establishing in my own system.

In the quotation example, a commercial owner could coordinate a product specialist and someone responsible for pricing. The owner receives their answers, checks that they fit the same request, resolves any disagreement and makes sure the proposal reaches the agreed next step.

The owner does not have to do every task personally. They need enough understanding to connect the work and recognise an incomplete answer. An agent can coordinate authorised steps; the organisation still needs a person accountable for the process and its boundaries.

Give specialists a brief they can use

A useful handoff includes the intended outcome, the relevant customer context, the latest decisions and the specific contribution required. It also says which actions are allowed and which decisions remain with someone else. Keep it focused enough that the recipient can start.

Consider the difference between “check this quotation” and “confirm whether these three requested items can be supplied by the agreed date, and identify any dependency before we commit.” The second brief gives the specialist a clear job and gives the owner a way to assess the answer.

When the customer changes the request, that change must reach everyone whose contribution depends on it. This connects handoffs to shared company knowledge: the team needs the current decision, not a persuasive answer based on yesterday’s brief.

Build the return journey into the system

A handoff needs a way back. The owner should receive the result, the relevant evidence and any unresolved question. If the specialist cannot proceed, the owner needs the precise dependency and the next useful action. Otherwise, the customer becomes the person who discovers the job has stopped.

This is where hands-on building matters. The system needs to preserve ownership and progress when work moves between people and agents. It should distinguish a request that was sent, work that was accepted, a contribution that was returned and an outcome that was verified.

The same clarity helps prevent duplicate work. If an action may already have happened, establish its state before trying again. For example, uncertainty about whether a customer message was sent should trigger reconciliation, rather than another copy of the message.

Give people a wider view of the work

Employees working with agents benefit from understanding what happens before and after their own contribution. Someone preparing a proposal should understand enough about delivery and customer service to spot a promise that creates problems later.

Coaching can start with a simple exercise: follow one real request across the organisation. Ask each colleague what they receive, what they need, what they produce and what usually causes a return trip. Those conversations reveal where a broader role or a clearer decision would help.

This is part of AI Transformation and organisation design. Management defines accountability and authority. People learn how to direct, question and improve the work. The system supports those choices. Hiring should reflect the judgement and breadth the role requires, alongside the specialist knowledge it still needs.

Test the whole journey before expanding

Choose one recurring process and run a small set of representative cases through it. Include a changed request, an unavailable specialist, a missing fact and a decision outside the agent’s authority. Check whether each case reaches a useful result or a clearly owned next step.

Measure the customer’s waiting time and the team’s total effort, including checking, corrections and chasing. Ask whether the responsible colleague can see what happened and intervene when necessary. A busy system is easy to mistake for a productive one unless the outcome stays visible.

This is the work I want to do with AI Partners: build a new business, or reinvent how an existing one serves its customers. I bring management advice, people and governance together with hands-on building alongside agents. Start with one journey that matters to your customers. Give it an owner, build the path to completion and learn from the result.