Time
- What changes
- Exports, copy-paste, and report assembly run on a schedule instead of on someone's calendar.
- How we measure it
- Hours per cycle spent preparing the report or running the workflow, logged before and after go-live.
Value
Where the time and money come back
Data and automation work pays back in a handful of specific places. We name them, show where they appear in real builds, and measure each one against how your team works today. No borrowed percentages.
The cost of the status quo
Most of the cost is hidden in ordinary weeks: the hours nobody budgets for and the decisions made before the numbers arrive.
Manual reporting
Someone exports from each system every month, pastes into a workbook, and rebuilds the same charts by hand.
Re-keying
The same job, vendor, or change order is typed into two or three systems, and each copy drifts a little.
Reconciliation
Hours go into working out why project management and accounting disagree before anyone can use the number.
Late numbers
By the time the report is assembled and checked, the month it describes is already well behind you.
Decisions on stale data
Pricing, staffing, and cash calls get made on last month's picture, or on whichever spreadsheet was closest.
Put a number on yours
Enter your own hours and rates. The calculator runs in your browser and nothing you type is sent anywhere.
Open the calculator
Eight value levers
Each lever has a plain description of what changes and how we measure it: a baseline before the build, the same measure after, and figures confirmed by the owner on your side.
Cost
- What changes
- Less labor on preparation, fewer keying errors, and less rework when a number turns out to be wrong.
- How we measure it
- Preparation hours at your loaded rate, plus the count of corrections and rework items, before and after.
Better decisions
- What changes
- Everyone reads current numbers with agreed definitions, so meetings start from the figure, not an argument about it.
- How we measure it
- How old the data is when it is reviewed, and how often a reported figure is disputed or restated.
Early warning
- What changes
- Exceptions, aging items, and margin drift surface as they happen instead of at month end.
- How we measure it
- How long an issue exists before someone sees it, compared with how it was found before.
Visibility and granularity
- What changes
- One model that drills from portfolio to project to cost line, with the source record behind each number.
- How we measure it
- Which questions can be answered without a manual pull, and how long the answer takes.
Forecasting
- What changes
- Cash, backlog, and burn projected forward from live data, with the assumptions written down.
- How we measure it
- Forecast against actual over the following periods, using the stated assumptions as the reference.
Standardization
- What changes
- Workflows and reports run the same way every time, whoever is on shift or on leave.
- How we measure it
- Steps that depend on one person, missed or late runs, and variation between projects.
Collective intelligence
- What changes
- Finance, operations, and the field work from one shared view instead of separate versions.
- How we measure it
- The number of competing versions of a figure in circulation, and who can reach the shared view.
Need shared definitions for the measures themselves? Browse the metric dictionary
How we prove value in your business
We do not quote savings from other clients. We measure yours.
Step 1
Capture the baseline
Before we build, we record how the work runs today: who does it, how long it takes, how often it is late or corrected, and what it depends on.
Step 2
Agree the metrics
You and we pick a small set of measures tied to the levers that matter to you, with a clear owner for each and a definition we both sign off.
Step 3
Measure after go-live
Once the build has run for real cycles, we measure the same things the same way. The owner confirms the figures; we do not estimate them for you.
Step 4
Ask before we publish
If the results are worth sharing, we ask permission before any case study. Nothing about your business is published without your approval.
Where it shows up in real builds
Specific features from builds you can inspect, and the levers each one serves.
Time, early warning
Unresolved records worklist
One row per record that is missing, unmatched, or unassigned, with the system to fix it in. Turns reconciliation into a short list.
Construction reportingBetter decisions, standardization
Data-quality gate before publication
A nightly pipeline checks the data before the report refreshes, so a broken feed does not quietly become a wrong number.
Construction reportingVisibility, collective intelligence
Weighted project health scorecard
A transparent project score with the arithmetic shown, so leadership can compare projects on the same terms.
Construction reportingForecasting, early warning
Exceptions page and cash forecast
Procore, QuickBooks Online, and HubSpot joined by a project crosswalk. Unmatched projects stay visible, and the cash forecast uses committed cash only.
Connected financial reportingTime, standardization
Connect scheduling agents
Specialized agents turn drawings, specs, and client answers into draft CPM schedules that the scheduler reviews, with evidence and version history.
Connect scheduling
Frequently asked questions
Can you tell us how much we will save?
Not honestly before we have seen how the work runs today. We capture a baseline during discovery, agree the metrics with you, and measure after go-live. For a first estimate you can enter your own figures in the monthly report cost calculator.
Why don't you publish percentage savings?
Every business starts from a different baseline, so a headline percentage from one client says little about yours. We would rather show the real builds, explain how value is measured, and let your own numbers make the case.
Who confirms the results?
The owner of each metric on your side. We set up the measurement and help collect it, but the figures are confirmed by the people who do the work and run the budget.
What if the value is mostly better decisions rather than hours saved?
That is common. We measure it through proxies you can observe: how old the data is when reviewed, how often figures are disputed or restated, and how quickly an issue is spotted. These are agreed up front so the result is not a matter of opinion.
How is the work priced?
Fixed scope and price, agreed after discovery. Discovery is also where the baseline is captured, so the scope and the measures are settled together.
Next step
Which lever matters most to you?
Tell us where the time or money goes today. We'll discuss what we would measure, and whether a scoped build makes sense.
Prefer email? charley@buildflows.ai