Start with the job
Why this workflow exists
Account teams copy metrics across tools and write the same narrative every month.
Reporting consumes delivery time and hides data-quality issues until the meeting.
A reporting period closes.
Evidence and assumptions
What this playbook assumes
Account teams copy metrics across tools and write the same narrative every month.
The account manager already has access to the source system and can approve the output.
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.
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
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
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.
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 routeUse 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 systemCreate a custom workflow
Reporting is a high-volume differentiator with stable inputs.
Trade-off: More integration and data-quality work.
Review the custom workflow routeRecommended next move
Start with the capability map below. It connects the selected workflow step to a focused resource and a concrete deliverable.
Open the capability routeKeep your current system if it can preserve source context, expose missing data, allow human editing, and keep observed facts separate from generated interpretation.
AgencyAnalytics · Specialist agency reporting platform
Compare AgencyAnalytics for this workflow
- Best when
- Your current system cannot preserve the required workflow inputs, controls, or review states.
- Avoid when
- Your existing system already satisfies the workflow requirements and keeps the data in one place.
- Why it fits
- Compare AgencyAnalytics when the current system fails one of the workflow requirements.
- Limitation
- Provider defaults may not match your fields, permissions, or review policy.
- Trade-off
- Faster setup with less control over vendor-specific workflow behavior.
Related template or use case: Open provider guidance
Alternative: Use the automation feature in your current platform · Last checked 2026-08-05
Create a custom workflow when the process is differentiated, integration-heavy, or sensitive enough to require ownership of data boundaries, approvals, and maintenance.
Make · Automation layer
Create this workflow with Make
- Best when
- The workflow repeats often enough to justify visible automation and an owned handoff.
- Avoid when
- The workflow is still changing or the team has not agreed on source ownership and human approval.
- Why it fits
- Make can support the workflow's explicit handoffs before a custom backend is justified.
- Limitation
- The team still owns configuration, monitoring, and the final human checkpoint.
- Trade-off
- More control than a fixed product, with more setup and maintenance responsibility.
Related template or use case: Open provider guidance
We may earn a commission if you sign up through this link.Alternative: Use the automation feature in your current platform · Last checked 2026-08-05
Railway · Application and infrastructure layer
Create this workflow with Railway
- Best when
- The workflow repeats often enough to justify visible automation and an owned handoff.
- Avoid when
- The workflow is still changing or the team has not agreed on source ownership and human approval.
- Why it fits
- Railway can support the workflow's explicit handoffs before a custom backend is justified.
- Limitation
- The team still owns configuration, monitoring, and the final human checkpoint.
- Trade-off
- More control than a fixed product, with more setup and maintenance responsibility.
Alternative: Use the automation feature in your current platform · Last checked 2026-08-05
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.
AI narrative drafting
A report draft must separate evidence from interpretation.
Recommended learning route
Using AI in Make
The lessons provide the automation foundation; add your reporting definitions and review policy locally.
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.
What happens next
- Collect metricsNormalize labels and identify missing fields.
- Draft narrativeDraft a concise narrative with linked evidence and questions.
- Approve reportCreate an executive summary and action list.
Check before action
- Collect metricsAnalyst checks the source period and totals.
- Draft narrativeAnalyst validates every material claim.
- Approve reportAccount lead approves tone and recommendations.
Client report
Test the filled template on one real but non-sensitive example. Keep the source context and approval decision with the team that owns this workflow.
Implementation stack
What the workflow needs
Automation and AI usage
Analytics subscriptions · Data cleanup and account review
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