Reporting Automation
56% of your board pack could be written by a pipeline. You're assembling it by hand every month.
Multi-agent reporting pipeline for CFOs, finance directors and fund managers. The data is already structured. You are just doing the assembly by hand.
Management reporting — monthly board packs, MBRs, investor reports — takes two days of manual work every cycle. Data gathering. Chasing people across teams. Copy-paste from multiple systems into a deck. It is repetitive, it burns good finance people on work with zero analytical value, and it happens every single month without fail.
Most CFOs we talk to assume automation means rebuilding their reporting from scratch. It does not. A detailed slide-level analysis of a real fund manager's monthly board pack showed 56% of slides are fully automatable from existing Excel data that is already being produced. The data is structured. You are just doing the assembly by hand.
How the pipeline works
- Section-level automation analysis — map exactly what is and is not automatable in your current pack
- Point-person agents pull from existing structured data sources on a schedule
- Draft content parked for human review before anything moves forward
- Consolidator agent assembles approved sections into a consistently formatted final document
- Works on existing Excel exports and ERP outputs — no new data infrastructure required
- Prototype built against real data before full commitment
Active development
We are building the pipeline for a fund manager against their real monthly board reporting data. The prototype demonstrates the architecture on actual data before the organisation commits to a full build. The approach is transferable to any fund manager, CFO function, or operational leadership team with a regular reporting cycle.
The starting point
The engagement starts with an analysis of your current report — section by section, classifying automation potential and mapping each section to its existing data source. This takes one to two weeks and produces the business case, the architecture, and a prototype plan. You see what is automatable before you commit to building it.
Who this is for
CFOs, Finance Directors, COOs and Heads of Finance at mid-market firms with monthly board packs or investor reporting cycles. Fund managers. Any finance function where the monthly close involves two people copying data between systems for two days. The test is simple: if you could describe the assembly process as a set of rules, it can be automated.
Common questions
What is a multi-agent reporting pipeline and how does it work?
A multi-agent reporting pipeline uses specialised AI agents running on a schedule to pull data from existing sources — Excel exports, ERP systems, operational databases — and produce draft content for each section of the board pack or management report. Each agent handles a specific section. A consolidator agent assembles approved outputs into a consistently formatted final document. Humans review and approve each section before anything moves forward. The pipeline eliminates data gathering and assembly; it does not remove human judgement from the process.
What does '56% automatable' actually mean?
In a detailed slide-level analysis of a real fund manager's monthly board reporting pack, 56% of slides were found to be fully automatable from existing structured Excel data with no manual input required. A further 33% were partially automatable — requiring human input for narrative or context, but with data population handled automatically. Only 6% required fully manual production. These percentages will vary by organisation, but the pattern is consistent across reporting-intensive finance functions.
Does reporting automation require replacing our existing data systems?
No. The pipeline is built on top of existing data sources — the Excel exports, ERP outputs and operational reports you already produce each month. Integration is at the export layer, not the system layer. The starting point is mapping which sections of the current report draw from which existing data sources, not a data infrastructure project.
Which organisations does reporting automation apply to?
Any organisation with a regular reporting cycle where the assembly process is manual and time-consuming. The highest-fit use cases are fund managers producing monthly investor reports, CFO functions producing monthly board packs, and operational leadership teams with regular management information cycles. The constraint is structured data — the pipeline works best where the underlying data is already in a consistent format, even if it currently requires manual assembly.
What is the starting point for a reporting automation engagement?
The starting point is a slide-level or section-level analysis of your current report — mapping each section to its data source, classifying automation potential, and quantifying the time currently spent on assembly versus analysis. This diagnostic typically takes one to two weeks and produces the business case and architecture for the pipeline. It also identifies whether a prototype can be built against your existing data before you commit to a full build.
Request a Reporting Diagnostic
We map your current pack section by section, classify what is automatable, and show you what the pipeline looks like before you build it.
Talk to us