Stop rebuilding
the same report every week.
We connect the systems holding your operational data and automatically produce the reports, summaries, alerts, and decision-ready updates your team repeatedly assembles by hand.
The same report, rebuilt by hand, on the same schedule, every time.
Someone opens four or five different tools, pulls the numbers, pastes them into a spreadsheet or a slide, checks the formatting, writes a summary, and sends it out. Next week, the same person does it again. The report exists because the business needs it, but building it has quietly become a recurring job of its own.
- The person who knows how to assemble the report is a single point of failure when they're out.
- By the time the report goes out, some of the numbers have already shifted.
- Formatting and copy-pasting take longer than the actual analysis.
- Exceptions and variances only surface when someone happens to notice them while building the report.
We build systems for workflows such as:
Scoped to the systems you already run, delivered on the schedule and in the channel your team already checks.
Weekly operating reports
Pulls the same figures from the same systems on the same schedule and assembles the report your team currently builds from scratch.
Client reporting
Recurring client-facing reports assembled from your project, billing, and performance data on a fixed schedule.
Executive summaries
A written summary layer above the underlying reports, scoped for leadership review rather than line-level detail.
KPI collection
Pulls defined metrics from the systems that hold them into one place, on the cadence you set.
Variance explanations
Flags where a number moved from its expected range and surfaces the underlying data, for a human to confirm the reason.
Exception alerts
Flags results outside a defined threshold as they happen, instead of waiting for the next scheduled report.
Multi-system reporting
Combines data from more than one source system into a single report instead of manual merging and reconciliation.
Scheduled email or Slack briefs
Delivers the finished report directly to the inbox or channel your team already checks, on the cadence you set.
Natural-language operational queries
Lets your team ask a question about current operational data instead of opening a tool and building a query.
Dashboard data prep
Keeps the data feeding your existing dashboards current and correctly structured, without a manual refresh step.
A representative workflow is:
One example. Your actual build depends on which systems, reports, and review points apply to your team.
Three different things live in every report we build. We label all three.
This is the distinction we build in from day one, not something added on request.
Factual summaries
Figures pulled directly from your connected systems and restated in plain language, with the source named. No interpretation applied. If a figure isn't available, the report says so instead of estimating one.
Interpretations
Patterns, summaries, and possible explanations the system drafts from the factual data, such as noting that a number moved and offering a candidate reason drawn from the connected data. Labeled as generated, not verified.
Recommendations
Any suggested action or decision-level recommendation is drafted by the system but held for review. It only reaches your team after a person has confirmed it. Recommendations are never sent unreviewed.
It plugs into the stack you already run.
Final scope depends on systems, data, risk, and access.
Data sources and systems
Accounting and ERP platforms, CRM, project management tools, ad and marketing platforms, help desk systems, and spreadsheets. We build systems for workflows such as these; final scope is confirmed against your exact stack.
Delivery channels
Email, Slack, and Microsoft Teams: the finished report or brief lands where your team already checks, on the schedule you set.
BI and dashboard tools
We keep the data feeding your existing dashboards current and correctly structured rather than replacing tools you already rely on.
AI layer
Enterprise-terms language model access scoped to your report content, with no training on your data. Reasoning is separated from the factual pulls it reasons about.
A documented system, not a black box.
- The reporting system running in your own environment, connected to the systems you approved.
- The source connections, scheduling, and review configuration, documented.
- A written description of what's automated, what's generated, and what's human-reviewed in every report.
- Access to the underlying prompts and configuration: no lock-in, no black box.
- A handoff walkthrough with your team before the first report ships unattended.
From discovery call to a report your team stops rebuilding.
Discovery call
We learn which reports exist today, which systems hold the data, and where the manual hours actually go.
Scope confirmed
Systems, data, access, and review points are confirmed. Some clients start with the Money Leak Assessment to map this in detail.
Build and connect
Systems are connected read-only where possible, report logic is configured, and the fact, interpretation, and recommendation labels are built in.
Go live
The human-review model is in place from day one. Your team reviews the first reports before they run unattended.
We target the first production system within 30 days after scope, access, and data requirements are confirmed.
A clear path, not a single leap.
Every build is scoped after discovery and quoted as a fixed price before any work starts.
Discovery Call
Free, 15 minutes. We learn your reports and systems.
Money Leak Assessment
$1,500. Maps the exact reports and hours involved, and credits toward the build.
AI Operations Accelerator
$10,000–$25,000. The build itself, scoped to your systems and reports.
AI Performance Partnership
Ongoing. Keeps the system accurate as your systems and data change.
The questions operations leaders actually ask.
How does it decide what's a fact, an interpretation, or a recommendation?
Every report we build labels each line as one of three things: an automated factual summary pulled directly from a connected system, a generated interpretation the system drafted from that data, or a human-reviewed recommendation. Recommendations are never sent to your team until a person has reviewed them.
Will it make numbers up?
No. Factual figures are pulled directly from your connected systems and traceable back to the source. If a figure isn't available from a connected system, the report says so instead of estimating one.
What systems can it connect to?
That depends on what you run. We build systems for workflows such as accounting and ERP platforms, CRM, project management tools, ad and marketing platforms, help desk systems, and spreadsheets. Final scope depends on systems, data, risk, and access, and we only quote what we can actually wire up.
How long does it take to launch?
We target the first production system within 30 days after scope, access, and data requirements are confirmed. Timelines vary with the number of systems, data quality, and how many report types are in scope.
What does it cost?
Every build is scoped after discovery and quoted as a fixed price before any work starts. Many clients start with the $1,500 Money Leak Assessment, which maps the exact reports and hours involved and credits toward the build.
Stop rebuilding the report. Start reviewing it.
Book a free 15-minute Discovery Call. We'll learn which reports you rebuild by hand, which systems hold the data, and confirm whether a Money Leak Assessment makes sense. No pitch, no obligation.
Book a Free 15-Minute Discovery Call →