We automate the data gathering, analysis, and narrative writing that currently occupies your finance and operations teams - delivering board-ready intelligence on a fixed schedule.
Most executive reporting is not an analysis problem - it is a data collection and formatting problem. Finance and operations teams do not spend most of their reporting cycle thinking about what the numbers mean. They spend it moving numbers from one system to another, reformatting them into a template, chasing down the one figure that lives in a spreadsheet no one can find, and then compressing the actual thinking into the last two hours before the meeting.
That is not an intelligence problem. That is an infrastructure problem. We automate the collection, structuring, and first-pass narrative generation so your team can allocate their time to interpretation, context, and decisions rather than data assembly.
Automated board pack pipelines that pull data from all connected sources on a defined schedule, calculate period-over-period variances, flag anomalies against defined thresholds, and generate a structured narrative in your template - ready in the right inbox before the meeting starts. Weekly operational reports. Real-time KPI dashboards with AI-generated commentary updated on the cadence you define. Investor update pipelines that draft and deliver on schedule.
The scope varies by business, but the principle is consistent: every element of reporting that follows a repeatable pattern gets automated. The human time goes to the elements that genuinely require judgment - not the elements that just require patience and a spreadsheet.
We connect to your existing data sources - accounting software, CRM, project management tools, operational databases - and build a scheduled pipeline that runs automatically at the cadence you define. Data is pulled, cleaned, and normalised across sources. Period-over-period calculations are run. Anomalies are flagged against thresholds we define with your team.
Claude handles the narrative layer. It writes commentary in the tone and style of your existing reports, flags the most important figures, and surfaces the questions your leadership team should be asking this week based on what the data shows. The output is not a raw data dump - it is a structured, readable document that looks like something a senior analyst spent three hours producing.
The full reporting workflow from raw data to formatted document can be automated end to end. The elements that most consistently consume team time and are most reliably automatable are the following:
A formatted Google Slides deck or Office 365 document, populated with current data and written commentary, ready for review. The format matches your existing template exactly - fonts, layout, colour coding, section structure. Your team's job is context-checking and judgment: verifying that the numbers match what they know, adding colour from conversations not captured in the data, and making decisions.
That shift - from assembling the report to reviewing it - is where the time recovery comes from. For most clients, it is between two and four hours per reporting cycle, recaptured by every person who was involved in the previous process.
The judgment layer. Our systems surface data, flag anomalies, and write first-pass narratives. They do not replace the human insight that comes from knowing your business context, having been in the client meeting last week, or understanding why a number that looks bad is actually fine. That is your team's job, and it is a more valuable use of their time than moving data between spreadsheets.
We are clear about this distinction from the first conversation. Automated reporting raises the quality of the input to every decision - it does not make the decisions. The businesses that get the most from this service are the ones where leadership uses the time saved to think harder about what the data means, not simply to move on to the next thing.