Last updated October 2026
The problem
Reporting eats the week your team should spend on clients.
Account managers spend the last week of every month on reporting
AMs pull five to twelve platforms into a sheet, then a slide deck, then a Loom. Six hours per client is a typical industry figure.
A connector tool did not fix it
It moves the data and stops there. Every client still defines MQL and CPL its own way, so someone still reconciles by hand.
Clients still email asking what the numbers mean
Clients see the numbers but not the story. So they ask the AM anyway.
Your team is doing admin instead of strategy
Hours spent on reports are hours not spent on the campaign work that moves results.
Before / after
How much time does Autopilot give back?
6 hrs / client / mo
Manual reporting, industry benchmark
<15 min / client / mo
Review time target, with Autopilot
80%
Reporting time cut for a multi-country outdoor media operator (BillboardIQ)
Under the hood
What makes the report build itself?
A standardization layer. One data model and one set of metric definitions across every client and every tool. Autopilot is the packaged version of that build.
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AI on top
Claude, through the API, does three jobs. It suggests mappings for unmatched names, flags numbers that break pattern, and drafts the plain-language summary of what changed and why.
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Dashboards and reports
A branded dashboard on your domain, one login per client, plus a scheduled PDF or link report with the account lead's commentary block.
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Metric definitions in code
CPL, MQL rate, pipeline sourced, placement tier, engagement rate. Each has one formula and one owner.
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Standard model
One set of entities, defined once: client, account, campaign, channel, content asset, placement, contact (hashed), funnel stage.
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Raw layer
Scheduled pulls from each source, per client, each with its own read-only credential.
Aggregation is plumbing. Standardization is the product.
Every number is calculated by code and traces back to its source. AI handles the mapping and the write-up, and a person approves it.
The full build, with what makes standardization hard and how we handle your clients' data, is on custom client reporting dashboards. For B2B tech agencies with PR and ABM in the same report, see B2B agency reporting. The proof is AutoCar Intelligence and BillboardIQ.
What you get
One branded report. Every client, every platform.
Scheduled pulls per client, per source, each on its own read-only credential
One standard data model and metric definitions in code across every client
Branded report template matching your agency design, hosted on your domain
Weekly status and monthly performance schedules per client
AI-drafted summary of what changed and why, approved by your account lead before it sends
Setup for your full client roster, plus a maintenance plan for connector fixes
How it works
01.
Scope
Access, pilot clients and a written scope with a fixed price. We list the platforms and the metric definitions each client uses.
02.
Build
Raw layer, standard model, metric code and your branded template. First working slice on real data before the full build.
03.
Test
A test run on three pilot clients against last month's decks. We fix every gap before it goes live.
04.
Handoff
Reports run on schedule. Your team reviews and sends. We keep the connectors and the mapping table current.
Common questions