The short version
A good AI deployment pays for itself in places you can measure. This series walks through three of them. First up is the one that eats your project managers alive: building proposals. A single quote takes 2 to 6 hours of gathering, pricing, and formatting, and Aries can take about 90% of that off their plate, so a coordinator ships more quotes, faster, and spends the reclaimed hours on margin and customers instead of SharePoint.
Originally posted on the Aries blog page. Aries is built by Tundra AI Labs.
Every AI pitch promises to save you time. Few of them show the arithmetic. So this series does the opposite: we pick a real back-office job, break down where the hours actually go, and put a number on what a smart deployment gives back. Three posts, three levers you can measure on your own P&L.
We are starting with quote generation, because for a commercial services company it's one of the biggest hidden costs in the building, and one of the easiest to shrink without touching a single customer relationship.
Where the hours actually go
Ask a project manager or coordinator how long a proposal takes and you'll hear a shrug and a number between two and six hours. The reason it's a range, and never a small one, is that a real quote is a scavenger hunt. Before anyone types a price, they're gathering the request from email, phone, and text, digging up the last three comparable jobs, pulling price sheets and cut sheets for the machinery being serviced, applying a slightly different margin to every line, rounding on feel, checking which parts to order and how long they take to land, and finally making the whole thing look like a document a customer will take seriously.
Here is roughly where a four-hour build goes:
One proposal, the manual way
None of it's hard. All of it's slow, and almost all of it's the same motion repeated on every job. That's the tell: work that is repetitive, rules-based, and spread across five systems is exactly the work a machine should be doing.
What Aries takes off the plate
Aries connects to the systems where all that scattered information already lives, then does the gathering and the first-pass pricing for you. It reads the incoming request, finds the comparable jobs you've already quoted, prices the parts against your own sheets, applies your margin rules line by line, checks parts and lead times, and lays the whole thing out as a draft. What used to be a four-hour scavenger hunt becomes a twenty-five-minute review.
The person is still in the loop, on purpose. The PM opens a finished draft, adjusts the two or three judgment calls that need a human, and sends it. Aries handles the tedious 90%; your team keeps the 10% that actually takes expertise.
Do the math
Lay the same six steps side by side. Aries does the gathering and the first pass, so the green is all that a human still touches, a sliver of the manual time:
Manual vs. with Aries
Time saved per proposal is a nice stat. The number that matters to whoever owns the P&L is what it adds up to across a year. So let's run it for a commercial services company that quotes at a healthy clip.
Back of the envelope
30
proposals a week, about 1,500 a year
3.5 hrs
reclaimed on each one
~5,400
hours back on the table, a year
That's roughly 2.7 coordinators' worth of time handed back to the team, every year, without adding a single seat. To get the same capacity the old way, you'd be hiring three people, for a total of ~$350,000 a year, all-in.
And that's only the cost side. The revenue side is where it gets interesting. In commercial services, whoever quotes first often wins, so cutting your turnaround from days to the same afternoon lifts your close rate. If your shop bids $40M a year and closes a quarter of it, even three extra points of win rate is $1.2M in new revenue, off proposals you were already going to write.
The lever: automating proposal generation lets you grow revenue without growing headcount. Same team, more quotes out the door, faster, and a higher share of them won. If you're managing a P&L, that is doing more with less in the most literal sense.
This turbocharges your people, it doesn't replace them
Worth being clear about what this is not. AI isn't going to replace the personal touch, the hard-won expertise, or the relationships your PMs have spent years building. A machine can't read a customer's tone on a site walk, know which GC always pays late, or feel when a bid is worth sharpening to win a strategic account. That judgment is the job, and it stays with your people.
What changes is where their hours go. Instead of clicking around SharePoint and rummaging through filing cabinets, a coordinator spends the day talking to customers, running margin analysis, chasing the bids worth chasing, and following up on the ones that are close. The work gets more engaging and more valuable at the same time. Turbocharge the tedious part, and the human part gets more room to matter.
What this looked like at MAC
This isn't a thought experiment. When the owners of MAC Technologies came to us, the goal was blunt: they wanted to 10X the business, without hiring back office staff. Aries went in on top of the QuickBooks, Zendesk, and MaintainX they already ran and took over the repetitive admin, so the same team could carry a bigger book of work: less finished work sitting unbilled, invoices going out sooner, and no new back-office hires.
Next in the series
Quote generation is lever one. Part two zooms out to your whole P&L and the 50-30-20 rule, where automating the back office keeps overhead from growing with revenue and turns a 20% net margin into 30%. Part three does the same arithmetic for the work you schedule on purpose, the preventive maintenance and compliance jobs that carry the highest margin. The theme doesn't change: pick the repetitive, rules-based work, measure it, and hand the hours back to the people who do the work that machines can't.
Frequently asked questions
Does Aries write the whole proposal on its own?
It builds the draft, not the final word. Aries gathers the request, pulls the comparable jobs, prices the parts, applies your margin rules, and lays it out. A project manager reviews it, adjusts the judgment calls, and sends it. You stay in control of the number that goes out the door.
How does it know our pricing and margins?
It learns from what you already have: your price sheets, your past proposals, and the margin patterns in the jobs you've already won. It applies those rules and flags anything it's unsure about, so the estimate reflects how your shop actually prices, not a generic markup.
What if a job is unusual or high-stakes?
Those are exactly the ones your PM should spend time on. Aries clears the routine 80% so your team has the hours for the complex bids, the strategic accounts, and the customer conversations that actually win the work.
Do we have to replace our estimating or accounting software?
No. Aries runs on top of the tools you already use, like QuickBooks, your FSM, and your CRM. It reads and writes to them, so nothing gets ripped out and your systems of record stay where they are.