MIRAS
Case Study

AI-Powered Marketing Reporting Automation

How we replaced six hours of manual work with an AI system that builds the report, runs the analysis, and flags what your team would miss

A marketing team was spending six hours every week pulling numbers from five different systems and formatting them into a report that was already out of date by the time anyone read it. We built an AI-powered system that assembles it overnight, runs trend analysis they never had time for, and flags problems the team would have missed.

The problem with manual reporting

In this case it was a marketing team — but anyone who has to produce a recurring report will recognise the problem.

Five data sources, six hours of manual assembly, and by the time leadership saw the numbers they were already a week old. One person knew how to build it. When they were away, nobody got a report. This is one of the most common inefficiencies we see in marketing operations — and exactly the kind of process AI automation can eliminate entirely.

6
hours lost
Every week, manually pulling and formatting
5
data sources
Each one requiring a separate login and export
7
days stale
By the time the report landed, the data was old
1
person
If they were on holiday, nobody got a report
Miras
Our AI automation approach

We sat with the team and mapped how the report was actually put together — then replaced it with an AI-powered workflow.

The team was good at their jobs. The report was just a bad use of their time. Instead of trying to make it faster to build, we removed the need to build it at all.

01
Connect and assemble
The AI system connects to every data source overnight and assembles a single, consistent view of the week. No logins, no exports, no formatting.
02
AI-driven analysis and flagging
It runs the checks the team used to do by hand, plus AI-driven trend analysis across multiple weeks — insight they never had time for manually.
03
Deliver a finished report
A complete report is waiting before anyone arrives. The team reviews it, adds context from what they know, and acts on what it shows.
Miras
What the AI system catches

The system does more than assemble data. It uses AI-driven analysis to work out what changed and why.

Watch
Declining trend detected
Issue Utilisation down 3 consecutive weeks 74% → 71% → 68%
Likely driver North West region Project intake slowing since mid-March
8-week trend
Recommended action Review North West pipeline and intake forecast before next planning cycle.
AI trend detection
The system tracks metrics across weeks, not just the latest snapshot. A slow decline that nobody notices from one week to the next gets flagged once it becomes a pattern — the kind of early-warning intelligence that manual reporting never surfaces.
Automated root cause identification
When something moves, the system works out why. If utilisation dropped, it points to the region or segment driving it rather than just reporting the number.
AI-assisted next steps
Every flag includes a recommended action. The team goes straight to the issue instead of spending time working out where to start — exactly the kind of AI-assisted decision-making that separates fast-moving marketing teams.
Miras
Results

The report nobody wanted to build now builds itself.

The team walks in to a finished AI-generated report, reviews it, adds their own notes, and moves on. The hours that used to go toward manual assembly now go toward acting on what the numbers say.

Weekly Performance Summary
Auto-generated · 7 Apr 2026
Week 14 · 31 Mar – 6 Apr
Revenue
£284k +6%
Pipeline
£1.2m +3%
Utilisation
68% ↓ 3 wks
Satisfaction
4.6 Flat
Performance by region
RegionStatusRevenue
London & South EastOn track£98k
Midlands & EastOn track£76k
North WestWatch£62k
Scotland & North EastOn track£48k
1 region flagged Auto-generated
For the first two weeks, the team double-checked every number by hand. By week three, they stopped.
Miras
Impact

What the team got back from AI marketing automation.

Before

  • Six hours spent assembling a report every week
  • Data was already a week old by the time it was read
  • Formatting changed depending on who built it
  • Problems buried in the numbers went unnoticed

After

  • Zero assembly time, the report arrives overnight
  • Data is from the previous day, always current
  • Consistent format and structure every week
  • Anomalies are flagged and explained automatically
Miras
AI strategy & transformation

Your team should be reading their reports, not building them.

We work with marketing teams and operations leaders who want to use AI strategy and automation to reclaim the hours that disappear into manual processes. This engagement took eight weeks from first conversation to handover. The team has been running it independently ever since. If your team is still manually assembling reports, we can show you what a modern AI-powered marketing intelligence workflow looks like for your setup.

#AIMarketingAutomation #GenerativeAIForBusiness #MarketingIntelligence #AIStrategy
Let's talk.
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