Accelerated Client Reporting with Chartcastr Briefings

5 min read

Replace the Monday-morning report build with a per-client Briefing. One PDF, every channel, AI-written commentary already in place, auto-delivered on the 1st of every month.

Accelerated Client Reporting with Chartcastr Briefings

Release note + use case story. Briefings are now live on every paid Chartcastr plan. Full product docs: Briefings overview. This post is one of four use case playbooks, see all of them in the Briefings use cases page.

Most agencies still build monthly client reports the way they did five years ago. Open the ad accounts. Screenshot the dashboards. Paste them into a deck. Write the commentary. Adjust the colours. Ship.

That's a half-day per client. For a 12-client agency, it's a week of senior time, every month, on work that does not move a single campaign forward.

Briefings are built specifically for this job.

What a client Briefing actually is

A Briefing is a cross-source AI synthesis. You spin one up per client, drop in the sources that matter, the ad platforms, the analytics tool, the CRM, the e-commerce backend, and Chartcastr renders a multi-page PDF on a once-per-calendar-month cadence.

Each row inside a briefing is a theme. "Acquisition." "Onboarding." "Retention." "Revenue." You pick the slicing. The AI then writes commentary for each row, plus an overall review that ties the rows together, what's actually moving, what changed since last month, what the client should pay attention to.

The PDF lands at the configured destination on the 1st. You forward it. Done.

The before / after

BeforeWith Briefings
4–6 hours per client per monthOne-time setup, then 0 hours
You write the commentaryThe AI writes the first draft, you edit
Reports lag the data by a weekSnapshots fire on the 1st, automatically
Every client gets a slightly different formatEvery client gets a consistent, branded PDF
Junior time is spent screenshottingJunior time is spent thinking about the client

Why monthly works for client reporting

We deliberately built Briefings around a once-per-calendar-month cadence. That's not a limitation, it's the right shape for this use case.

Daily and weekly are already covered by Pulses, short, source-specific updates that flow into your destination as numbers move. That's the heartbeat. But monthly client reporting is a different job: you want the wide-angle view, you want the synthesis across sources, and you want it polished enough to forward.

The monthly throttle also keeps cost predictable. One bounded burst of AI per client per month, with a hash-based skip path that reuses commentary on rows that didn't change. No surprise bills.

Setup, end to end

  1. Create one briefing per client. Give it the client's name and a brand-coloured cover.
  2. Add a row per theme, Acquisition, Retention, Finance, etc. Drop the relevant source or source group into each row.
  3. Hit Save. The AI generates per-row commentary and an overall review. You read it. If a row title isn't quite right, you type your own and save again.
  4. Open Settings, pick a destination, and set the schedule to day-1 at the time you want it delivered.
  5. The next 1st of the month, the PDF lands on its own.

That's the entire pipeline. There's no dashboard build, no "report template", no chart-by-chart copy-paste.

Where the AI actually helps

Three places, ranked by how much time they save you:

  1. Cross-row synthesis. The overall review is the part you'd previously write from scratch. Now you start with a draft and edit.
  2. Per-row commentary. Each row gets analyst-style commentary that names what changed and why it matters, anchored to the actual numbers in the charts.
  3. Titles. Every briefing and every row gets an AI-generated title that reflects its actual contents. You override if you want to. Otherwise the titles regenerate as the row composition shifts.

You stay in control. AI commentary is read-only inside the composer, but the briefing description is your steering wheel. A one-paragraph framing ("focus on retention vs. acquisition this quarter. SMB segment is the priority") is fed to the AI at every layer and shifts the analysis accordingly.

Pricing the time back

If a senior account person costs you £80/hour and spends 5 hours per client per month on reporting, a 12-client roster is £4,800 of monthly cost going into work the client never reads end-to-end. Briefings push that to a fraction, and the client gets a more consistent, more polished output.

Start with one client

Don't roll this out across the whole roster on day one. Pick one client, ideally one where reporting is already painful, and build a briefing for them. Run a snapshot manually before the next reporting cycle. Compare the PDF to what you'd have built by hand. Adjust the rows.

By month two, that client's reporting is on autopilot, and you'll know exactly which other clients to roll it out to next.

Read more

Full product reference: Briefings overview. Other use case playbooks: Briefings use cases. The in-app surface: the /admin/briefings page.

Was this post helpful?

Google SheetsSlackAI Summaries

Turn your data into automated team updates.

Connect a data source, create charts, and deliver AI-powered insights to Slack or email — in minutes.

No card required. Setup in 3 minutes.

Chartcastr