The weekly or monthly pack
Rebuilt by hand from the same exports every time, and finished just before the meeting it was meant to inform.
Stop rebuilding the same report every Monday.
The dashboard is often the easy part. The real work is collecting exports, fixing columns, checking rules and emailing the right version. We make reporting repeatable, so the analyst can spend time on what it means.
Monday report run
- Finance exportCollected 06:58: Settled
- Operations exportCollected 06:59: Settled
- Checks2 figures outside the agreed range: Needs a look
- Dataset refreshComplete 07:02: Settled
- Analyst reviewThe two exceptions, before it goes out: A person decides
Reporting that arrives finished. Not the day before it’s needed.
Most reporting effort goes into assembly: exporting, copying, reconciling and formatting. That’s the part a system should carry. What the numbers mean stays with the people who know the business.
Reporting should begin with a question, not a download queue.
- Data in pieces. Separate systems, recurring exports and different file formats.
- Fragile transformations. A new column or changed naming convention breaks the workbook.
- Distribution by memory. Report delivery depends on someone logging in, refreshing and sending.
Where it helps
Three reports we’re often asked about.
Numbers that don’t agree
Two systems, two totals, and someone who spends a morning finding out why. We match the sources and show the difference before anyone asks.
Dashboards nobody trusts
Power BI reports that drifted from the business, or that only one person can refresh. We rebuild them on a clean, documented data model.
Make the numbers repeatable before making them beautiful.
Illustrative reporting pipeline
- Source dataApproved reports, APIs and exports
- TransformChecks, business rules, reconciliation
- PublishDataset, workbook or dashboard
- Analyst interpretsA personExceptions, trends and action
See it run: Tina sketches this workflow, step by step, and shows which parts a person keeps.
What we build
- Power BI reports and dashboards on a documented data model
- Automated data collection from finance, CRM, operations systems and spreadsheets
- Scheduled refreshes with checks, so a broken source is flagged rather than reported
- Exception highlighting: what moved, what’s missing, what needs a look
- The context behind a number, from notes, tickets or the system of record
- Excel and Power Query clean-up where the report starts in a spreadsheet
- Scheduled extraction with Power Query or Python preparation
- Controlled distribution, with run logs and failure alerts
What stays with your team
- What the numbers mean, and what to do about them
- Which measures matter, and when they change
- The conversation with whoever the report is for
AI prepares. People decide. Routine actions run only within limits you agree.
Usually built with
Power BI- Excel
Dataverse- APIs & webhooks
Technologies we work with. Product names and logos belong to their owners, who do not endorse Boring Future.
The evidence. Each with where it came from.
Founder experience · employed role
450+ hrs / year
Estimated annual capacity returned across recurring reporting and operations; not an individual Power BI dashboard result.
Recurring reports stopped consuming the same hours.
- The problem
- Operational and performance reporting demanded repetitive preparation and distribution every reporting cycle.
- What was built
- Automated recurring data preparation, workbook generation and distribution while keeping existing report definitions and checking rules.
- What changed
- A previously published estimate attributes more than 450 hours of annual capacity returned to recurring reporting and operational preparation. This is an aggregate outcome, not a guarantee for an individual dashboard.
When a dashboard isn’t the answer
- If nobody acts on the report, automating it just makes an unread report faster. We’ll ask which decision it supports first.
- If the data is wrong at source, we fix the capture, not the chart.
- You probably don’t need AI to add up a column. We use it where it helps, such as summarising the notes behind an exception.
How it works
- Free conversationFree
- Discovery & Design£2,500 + VAT, fixed
- CompleteFixed scope and fee
- OperateOptional, monthly
Running a business of 5 to 50 people? Essentials starts with a £395 + VAT half-day session
Questions. Anything else, just ask.
Ask us directlyDo we need Power BI Pro or Fabric licences?
It depends on who needs to see the reports and how they’re shared. We look at what you already pay for and recommend the simplest licensing that works, rather than starting with an upgrade.
Can you take over our existing Power BI reports?
Yes. A common starting point is a set of reports only one person understands: we document the data model, fix the refresh and make them maintainable.
Our data lives in spreadsheets. Is that a problem?
No. Spreadsheets are often where the process ended up. We can report from them as they are, then move the parts that need it somewhere sturdier.
How long does it take?
One reporting workflow is a typical Discovery & Design scope: two to three weeks to understand and design it, at £2,500 + VAT, then a fixed-price build quoted from that.
Do you only build Power BI dashboards?
No. Often the greatest opportunity is the process that feeds the dashboard.
Can you use our existing report definitions?
Yes. Preserving a trusted definition is usually better than rebuilding it without a reason.
Can you automate scheduled email reports?
Where systems and access allow it, yes, with run logs and failure alerts.
Where it’s used. Where to go next.
Your analyst was hired to find the story, not assemble the pages.
Start a free 30 to 45 minute conversation. No deck, no obligation.