Certainty, engineered.
Budgets rarely die in one blow. They bleed — a scope creep here, an invoice nobody matched there. We build costing systems that estimate from your own history, track budget against actual as it happens, and flag the variance while it’s still a decision instead of a writedown.
The variance ledger
- A budget-versus-actual ledger with columns: line item, budget, actual, variance. Five rows; one row’s actual exceeds its budget and is flagged over plan — caught in week two, not month six.
Estimation
An estimate is a model, not a number you defend.
Point estimates fail the day reality varies. We build estimation from your delivered history — what similar work actually cost — and hand you ranges with the assumptions attached, so scoping is a calculation you can update, not a stance.
Multi-phase builds, retainers, variable operational costs — the model carries the shape of your work, not a generic template.
Tracking
Variance is a signal, not a post-mortem.
Budget against actual updates as the work progresses, and an alert fires the moment a line drifts past its threshold — routed to the person who can still change the outcome, not filed for a review after the money is gone.
Then reconciliation: invoices and procurement documents matched into the cost ledger automatically — the same document discipline as our AI Automation practice, pointed at your costs.
A budget overrun is data that arrived too late.
Deliverables
What you keep.
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01
The estimation model — built on your historicals, assumptions documented, ranges not points.
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02
Live tracking — budget vs actual per project and line, current as of now.
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03
Variance alerts — thresholds your team sets, routed while they’re still decisions.
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04
The reconciliation flow — invoices and POs matched into the ledger without re-keying.
How we build
Five steps, on the table.
- X-Ray
- Pull apart how your projects were estimated and where they slipped.
- Blueprint
- Design the estimation model and the budget-versus-actual view.
- Build
- Build costing, tracking, and invoice matching into one ledger.
- Stress Test
- Run it against closed projects to see how close the estimates land.
- Handover
- Hand PMs and finance the shared reporting and the variance alerts.
The record
Built by the same hands.
Built with the same engineering discipline that ships DocuPOW.
Questions
Before you trust the number.
Estimates from our history — what if our records are thin?
Then we start honest: the model uses what exists, states its confidence, and gets sharper with every project you close. Thin history is an argument for starting now, not waiting.
Why ranges instead of a single number?
Because a single number is a range with the honesty removed. Ranges carry the assumptions; when one changes mid-project, the estimate updates instead of quietly becoming fiction.
What happens when scope changes mid-project?
The change gets a cost before it gets a yes. New scope enters the model, the range moves, and the variance view shows the decision’s price in daylight.
Does it work with our PM and accounting tools?
It’s built to — the ledger feeds from and reports into the stack you run. That wiring is our AI Integration practice; this page is what it carries.
What data do you need from us?
Closed-project actuals, current budgets, and the invoices and POs as they flow. If those live in nine places, collecting them once is part of the build.
How small can we start?
One project type. Prove the range holds, let the team trust the alerts, then widen. Certainty scales better than it launches.