AI for Marketing

AI client report draft and review workflow for marketing agencies

Turn campaign data and notes into a client-ready report draft with anomalies and unanswered questions highlighted.

Account managerBuyer: Agency owner or client services lead3 checkpoints
Workflow ownerAccount manager
Checkpoints3
Monthly cost$0-$75
Final outputClient report
Campaign metrics becoming a reviewed client report

Start with the job

Why this workflow exists

Current process

Account teams copy metrics across tools and write the same narrative every month.

Cost of delay

Reporting consumes delivery time and hides data-quality issues until the meeting.

Activation trigger

A reporting period closes.

Evidence and assumptions

What this playbook assumes

Observed pattern

Account teams copy metrics across tools and write the same narrative every month.

Assumption

The account manager already has access to the source system and can approve the output.

Not assumed

AI does not make the final customer, candidate, property, campaign, or client-facing decision.

Last reviewed: 2026-08-05

AI workflow

Where AI helps, and where a person decides

The workflow is useful because each automation step ends at a named human checkpoint.

01

Collect metrics

Assemble the period data and context.

Input
Exports, dashboard links, and account notes
AI action
Normalize labels and identify missing fields.
Human checkpoint
Analyst checks the source period and totals.
Output
Reporting packet
02

Draft narrative

Explain what changed and why it matters.

Input
Reporting packet
AI action
Draft a concise narrative with linked evidence and questions.
Human checkpoint
Analyst validates every material claim.
Output
Report draft
03

Approve report

Prepare the report for client delivery.

Input
Validated draft
AI action
Create an executive summary and action list.
Human checkpoint
Account lead approves tone and recommendations.
Output
Client report

Choose with context

What should your team do next?

Answer three questions to find the most practical next step for your current system, capability, and strategic need.

Answer the questions to choose a path for this workflow.

Alternative path

Strengthen team capability

Your reports are consistent but the team needs a safe AI drafting pattern.

Trade-off: Requires clean metrics and a reviewer who owns the claims.

Open the capability route
Alternative path

Use an existing tool

Your analytics suite has a report generator that already knows the data.

Trade-off: Narrative control and portability may be limited.

Check your current system
Alternative path

Create a custom workflow

Reporting is a high-volume differentiator with stable inputs.

Trade-off: More integration and data-quality work.

Review the custom workflow route

Capability map

What does your team need to operate this workflow?

Choose a step and your current level to see the shortest route to a useful deliverable.

Skill gap

AI narrative drafting

A report draft must separate evidence from interpretation.

Path for FamiliarLearn to prompt for cited evidence and explicit uncertainty.
Time to competency2-4 hours
DeliverableA reviewed report draft

Recommended learning route

Using AI in Make

The lessons provide the automation foundation; add your reporting definitions and review policy locally.

course
SkillAI narrative drafting
What you need to learnLearn to prompt for cited evidence and explicit uncertainty.
Fastest routeLearn to prompt for cited evidence and explicit uncertainty.
Time45-90 minutes
Finish withOne data-to-draft scenario with evidence checks
After learningReturn to Step 2 — Draft narrative
Free alternativeStackIdea workflow methodLast checked 2026-08-05

Ready-to-use artifact

Reporting packet

This is the complete operating template for the workflow: input contract, runbook, automation handoff, human review, escalation, and a test case.

Workflow template

Open the complete operating runbook

The full Markdown stays out of the page until you ask for it. Open it when you are ready to adapt this workflow to your team.

Input contractAI and human checkpointsReview and escalation

Implementation stack

What the workflow needs

Estimated cost$0-$75per month for a small team
DataAnalytics exports
PurposeProvide source metrics. Use explicit period snapshots.
AutomationMake
PurposeAssemble reporting packets. Connect existing tools before building a data warehouse.
DeliveryExisting report workspace
PurposeShare and approve. Keep client access in the current workflow.
Includes

Automation and AI usage

Excludes

Analytics subscriptions · Data cleanup and account review

Next workflows

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