Estimate software projects accurately — and stop losing money on fixed-price work.
Estimation, Resourcing & Margin Engine: turn a scope into accurate effort, cost, staffing and risk — with a stated assumption and a confidence level behind every number, and a human accountable for the result.
Outcome: Protect margin on every deal and stop estimating from a blank page.
It's Tuesday. A scope lands and the client wants a number by Friday, so your best delivery lead estimates it the way they always do — from memory, on a blank page, with a gut-feel buffer bolted on at the end. You win the deal. Three months in, you find the integration was under-scoped by sixty hours. You don't lose the client; you just quietly eat the margin. Next quarter, same story, different project. Sound familiar?
The questions you are actually asking.
Why are our software estimates always wrong?
Because they are built from memory on a blank page, with a gut-feel buffer bolted on at the end — and no record of how past jobs actually landed versus what was quoted. So they are reliably wrong in the same direction: too low.
Why do we keep losing money on fixed-price projects?
The estimate is a guess dressed up as a figure — no stated assumptions, no contingency logic tied to real risk. Margin leaks before the SOW is even signed, and nobody can say exactly where it went.
How do we estimate effort without starting from a blank page?
Reconstruct the scope into discrete, estimable units tied to source requirements, estimate bottom-up by role against your own rate card, and reuse the patterns from how your past jobs actually landed.
How do we stop scope creep before we quote?
Pin acceptance criteria, assumptions and exclusions into the estimate itself, and separate blocking unknowns from nice-to-haves — so ambiguity gets priced or excluded up front, not absorbed at your expense later.
Why fixed-price projects quietly lose money.
This is why services firms keep losing money on fixed-price projects: the estimate is a guess dressed up as a figure. No stated assumptions, no contingency logic, no record of how past jobs actually landed versus what was quoted. So software estimates are reliably wrong in the same direction — too low — and margin leaks before the SOW is even signed, with nobody able to say exactly where.
How to estimate software projects accurately.
Accurate estimation is not a bigger buffer — it is a bottom-up method, applied the same way every time, that you can defend to a client and learn from afterwards. AI does the volume; a human owns the result.
Reconstruct the scope into estimable units
Break the work into discrete deliverables and workstreams, each tied back to a source requirement — so nothing is estimated as a vague lump.
Estimate bottom-up, by role and day-rate
Assign effort in person-days and a role to every workstream, priced against your rate card. Cost is built up from the work, not guessed top-down.
Size contingency to the actual risk
Integration-heavy or ambiguous work carries more contingency than well-understood work — the buffer is reasoned and defensible, not a flat 10% on the end.
Attach an assumption and a confidence to every number
Each figure states what it assumes and how sure we are, so you can defend it to a client and learn from it afterwards when actuals come in.
- 01
Ingest your past projects — quotes, timesheets, actuals — and the templates and rate cards you estimate against today.
- 02
Reconstruct the scope into discrete, estimable units, each tied back to a source requirement.
- 03
Produce effort, cost and staffing ranges with a stated assumption and a confidence level behind every number.
- 04
Flag the soft spots — where the estimate is thin, where contingency is missing, where history says you under-price.
- 05
A human reviews and signs off before the estimate reaches a proposal.
Catch scope creep before you quote — not at the retrospective.
Most scope creep is priced in the moment you send a vague estimate. We pin acceptance criteria, assumptions and exclusions into the estimate itself, and separate the blocking unknowns from the nice-to-haves — so ambiguity is priced or excluded up front, while you can still do something about it.
Already mid-delivery? Catching scope creep and margin leak on live projects is the job of Delivery & Ops Intelligence.
You stop estimating from zero. Every number carries its reasoning, so you can defend it to a client and learn from it afterwards — and your margin stops quietly leaking on the deals you win.
Protect margin on every deal and stop estimating from a blank page.
Delivery heads, principals and commercial leads at tech-services firms who own project margin and are tired of estimates that fall apart on contact with delivery.
Part of the win-work and margin ladder.
Proposal & Deal-Shaping OS
The estimate feeds the proposal. See how a messy opportunity becomes a scoped, priced draft.
See the flagshipPricing & Packaging Intelligence
A defensible estimate sets the floor; pricing sets what you actually charge for it.
Explore pricingDelivery & Ops Intelligence
Once you win, watch for scope creep and margin leak on the live project before it bites.
Explore deliveryQuestions
How do you estimate software projects accurately?+
By estimating bottom-up: reconstruct the scope into discrete units tied to source requirements, assign effort in person-days and a day-rate to each, size contingency to the real delivery risk, and attach a stated assumption and confidence level to every number. A human reviews and signs off before the estimate reaches a proposal.
Why do fixed-price projects keep losing money?+
Because the estimate is usually a single figure with no stated assumptions and no contingency logic tied to risk — so it is reliably too low, and the margin leaks during delivery with nobody able to say where. We make the assumptions, exclusions and contingency explicit before you quote, so the price you commit to holds.
How is this different from a spreadsheet template?+
A template is a blank grid you still fill in from memory. This reconstructs the scope, proposes the numbers with stated assumptions and confidence levels, and learns from how your past jobs actually landed — then a human signs off.
Do you need our historical data?+
It works best with a handful of past projects (quotes plus actuals), because that is where the real estimating signal lives. We can start with templates and rate cards, but actuals make the estimates sharper.
Does a human still review the numbers?+
Always. AI does the volume and the first-pass reasoning; a person owns the estimate and signs off before it reaches a proposal. The name on the number is a human.
Three phases — each one de-risks the next.
Start with a paid, NDA-gated Diagnose on your own deals. If you develop, the Diagnose fee comes off the price. No hours billed, no day rates — you buy an outcome at each step.
Diagnose
Proposal Workflow Diagnostic
- Where your estimates bleed — over-scoped roles, missing assumptions, the integrations that always go long — read across 3 of your real past projects.
- A live re-estimate on one project with explicit assumptions and risk flags attached to every number.
- A prioritised plan for the estimation changes that would protect margin first.
NDA signed first. Credit applies in full against Develop.
Book a free discovery callDevelop
Deploy your Proposal Workflow
- A bottom-up estimation engine trained on your past jobs: effort by role, contingency by risk pattern, confidence levels at every line.
- Scope-to-estimate logic built into your existing tools — so no project starts from a blank spreadsheet again.
- First fixed-price project estimated and signed off before it ships, with stated assumptions and exclusions.
Your Diagnose fee comes off the price.
Book a free discovery callDeliver
We run it on live work
- New projects run through the estimation engine every month — assumption log and confidence levels included.
- Live projects monitored for early scope-creep and margin-leak signals before they compound.
- Monthly margin-per-job review so the model stays calibrated to how your work actually lands.
Month-to-month. Cancel anytime.
Book a free discovery callThe math is simple. One deal re-priced or re-scoped out of the Diagnose typically covers its cost. And protecting the margin on a single won deal can pay back the whole Develop phase.
We take on 2 new clients per month. The consultant calendar fills fast — next available is roughly 2 weeks out.
Claim a slotBring one real scope. Leave with an estimate you can defend.
A 30-minute, no-pitch call. We will walk through how this would run on one of your real opportunities — then you decide if it is worth a paid diagnostic.