A developer estimates in Jira or Excel. A project manager copies the numbers into a Word template. A designer adjusts the layout. Someone else double-checks the figures. Every transcription is a chance for error, every iteration costs hours. And this cycle repeats for every single proposal, the same way it did fifteen years ago.
The process hasn’t changed — but the expectations have
In CTO groups the same question surfaces regularly: how long does it take to prepare a proposal? The answers land between 2 and 5 business days. In product companies where the process is automated, the same task takes 2 to 3 hours. That gap isn’t about skill — it’s about structure.
Running a software agency means balancing billable hours against sales. Every hour spent manually assembling a proposal is an hour that could have been spent delivering work for a paying client.
The costs that hide in plain sight
An estimate created in Jira or Linear travels through Excel, then Word, then PDF. At every hop someone copies numbers by hand. One digit wrong and the proposal is mispriced by thousands.
Proposal formats vary by project manager. One uses tables, another bullet points, a third takes screenshots from Jira. The client receives a document where some numbers are in euros and others in dollars, with scope described in three different styles. It looks sloppy, and clients pick up on it.
Three months into the project, nobody remembers exactly what was in scope. “Was that in the proposal?” becomes the most common question at stand-ups. There’s no connection between the proposal document and actual project progress.
The math compounds. If a team spends 2-3 days on a proposal with a 30% win rate, the person-hours lost on lost proposals outweigh the margin earned on won ones.
Three changes that fix the process
1. Build from components, not from scratch
Instead of estimating every proposal from zero, create a library of standard task types: CRUD, API integration, data migration, security audit — each with assigned time ranges based on actual project history. Each component carries its own track record: how many times it’s been used, what the actual effort was compared to the estimate.
A new proposal becomes assembly from ready-made blocks instead of a blank page. Estimation time drops from 2 days to 2 hours.
2. Make document generation a single action
Once the estimate is ready, generating the proposal should take one click. No rewriting, no copy-paste. The system takes the components, their prices, the scope description, and produces a consistent document.
The format matters too. A static PDF will be outdated after the first scope change. An interactive proposal — a link the client can open, modify scope, and see how changes affect the price — keeps the conversation moving instead of generating a new document version every time something shifts.
3. Keep the proposal alive after signing
The proposal shouldn’t go into a drawer after the contract is signed. It should be the starting point for the whole project — budget, scope, milestones. When someone asks “was this in the proposal?” the answer should be one click away, not an hour of digging through PDFs.
The infrastructure was always the hard part
Everything above describes a process that any agency could build. The catch is that building it takes months, and running an agency doesn’t leave room for that kind of internal project.
Apropo is a Configure, Price, Quote platform built for software agencies. Instead of manually rewriting estimates, you build proposals from components already linked to real project data. Each component carries its history — you know what similar tasks actually cost, not just what was estimated. The proposal is an interactive web page, not a PDF. And after acceptance, the same structure becomes the project reference.
If you don’t have a component library yet, that’s the place to start. If you do, but still spend days on each proposal, the gap between what you have and what’s possible is mostly automation.