What should you prepare before hiring an AI automation agency?

Use this brief to discuss fit with an AI automation agency for service sales teams, including the workflow, oversight and conversion goal you want to agree on.

Frequently asked questions

To put this workflow into practice, explore managed AI implementation. For the related checks and handoffs, use our ai sales implementation guide.

What should your first automation brief cover?

Start with a business task that has a recognizable beginning and end. A request such as “automate operations” leaves the agency to guess which problem matters. A more useful brief describes how a completed sales conversation becomes an onboarding task, who checks the details, and where the next person finds the instructions.

Write the brief in language your team already uses. Include the event that starts the work, the information needed, the action to prepare, the person responsible, and the record that proves completion. This is a planning exercise, not a requirement to design the software yourself.

MetaTechAi's managed AI services include workflow mapping, tool configuration, quality monitoring, and handoff improvements. Use those service categories to organize questions for a discovery conversation, while keeping your own operating problem at the center of the brief.

How do you choose the workflow to bring to an agency?

Choose work your team can explain and review. Look for a recurring task with an identifiable owner, available source information, and a clear next action. If no one agrees on what should happen today, document that disagreement before asking an agency to automate the process.

For example, a service business might want accepted proposals to create an internal onboarding checklist. The first scope could prepare the checklist and assign a review task. Changing billing records, contacting customers, and making scheduling commitments can remain separate decisions until the team defines the rules for them.

Record why this workflow matters using your own evidence. Bring examples of missed handoffs, repeated data entry, or work that waits for a manager. Avoid setting an improvement target from an industry statistic when you have not yet measured the existing process.

Which examples and documents should you collect?

Prepare a small collection that shows the ordinary path and meaningful exceptions. Include a completed example, an incomplete request, a correction, and a case where someone had to ask for help. Remove unnecessary personal or confidential details before sharing discovery material.

For each example, explain what the team did and why. A finished task alone may hide the judgment behind it. An agency needs to understand which source resolved a disagreement, which fields were optional, and which missing details stopped the work.

• Collect the current checklist or procedure and identify its owner.
• Label sample inputs and show the expected output beside each one.
• Mark outdated instructions so they cannot be mistaken for current policy.
• List exceptions that require a person rather than a guessed answer.
• Identify the approved location for future changes to instructions.

Do not wait for a perfect knowledge library. A documented gap is useful information. Write “the operations manager decides this case” where a rule is missing, then ask whether that decision should stay manual in the first implementation.

What should you record about your existing tools?

List the systems that hold the input, receive the output, and notify the next owner. For each one, name the account administrator and explain which record your team treats as authoritative. Two systems may contain a customer address, but the brief should say which one wins when they disagree.

Include existing automations and manual shortcuts. An agency should know if a form already creates a CRM task or if a coordinator copies information into a spreadsheet. Otherwise, the proposed workflow may overlap work that already happens elsewhere.

MetaTechAi's AI infrastructure process describes mapping business systems, finding the bottleneck, and designing the first deployment. Bring a simple system map to that discussion. Ask the implementation team to confirm the connections and access requirements for your actual accounts before treating an integration as part of the agreed scope.

How should you define permissions and approvals?

Describe what the proposed automation may read, what it may prepare, and what it may change. Keep these as separate questions. An assistant that can draft an onboarding message does not automatically need permission to send it or edit the underlying customer agreement.

Assign an approver to each consequential action. State what that person must see to make a decision, such as the source record, proposed change, and unresolved questions. Also decide what happens when approval is delayed: the work should remain visible to a named owner.

The site's security and data ownership principles discuss explicit permissions, approval gates, and visible work logs. Use that vocabulary to request a concrete permissions plan. Confirm the settings for each connected tool because a general approval policy does not describe every account's configuration.

Where does AI calling fit in an implementation brief?

If calls are part of the workflow, describe the surrounding business process first. Identify where contact information comes from, who owns the next step after a conversation, and which system should hold the outcome. Keep calling requirements distinct from internal task preparation and customer record changes.

RizzDial supports AI voice agent calls and connects with existing CRMs. For an agency brief, the useful question is how that calling activity would fit into your specific handoff. Ask the implementer to define which outcomes create work, which need review, and what happens when a record cannot be matched.

A hypothetical follow-up workflow might prepare an internal task after a call, then wait for a coordinator to confirm the next action. Treat that as a proposed design to discuss, not a promise that a particular connection or business rule is already configured.

What should count as an acceptable implementation?

Write acceptance examples before comparing proposals. For the onboarding workflow, an acceptable result might include the correct customer record, the agreed checklist, the assigned owner, and a visible reason whenever the system stops for review. Describe the evidence a reviewer needs to check each result.

Include examples where the system should decline to proceed. A missing agreement, conflicting contact details, or an unrecognized service should have a defined review path. A convincing demonstration should cover those conditions as well as an ordinary successful request.

Ask each agency to respond to the same examples. Have it explain what is included, what depends on access or data cleanup, and what requires a later decision. This gives your team a concrete basis for comparing scope without relying on broad promises about automation.

What should you clarify before work begins?

Agree on responsibilities for discovery, configuration, testing, training, and ongoing operation. Name the person who can approve a scope change on your side. Ask who will maintain instructions when your services change and who will investigate a workflow that stops producing the expected result.

Keep an explicit list of open decisions. A proposal can identify an unresolved integration or data question without pretending it has been solved. Ask which decisions must be settled before implementation and which can wait until a later phase.

Plan the eventual handover during scoping. Our guide to AI automation handover and ongoing ownership explains the operating records, access checks, and support responsibilities to request. Those deliverables belong in the conversation before the team depends on the new workflow.

What else do buyers ask before hiring?

Do we need to choose the AI model first?

Begin with the workflow and its constraints. Ask the agency to explain its proposed technical choices against the information, permissions, and outputs your process requires. Your brief should make the business decision understandable before it asks for a specific implementation.

Can we start if our procedures are incomplete?

Yes, you can start discovery with incomplete procedures. Label the gaps and name the people who currently resolve them. Keep unresolved decisions in a review path until the business agrees on instructions that an implementer can use.

What should we send before the first meeting?

Send the workflow brief, a system list, approved sample material, and your acceptance questions. Include the operational owner and account administrators in the discussion. Use the MetaTechAi contact page to share the business context and ask about implementation planning.