Automate the work that’s quietly costing you a fortune.
Pick one costly manual process. We measure it, automate it, and charge half the agreed Year-1 savings on delivery. If verified savings are lower, we correct the fee with a refund.
$0 upfront · fee tied to agreed savings · 5 to 10 days to first build
- copy-paste between tools
- rebuild the report by hand
- chase the same errors
- runs on a schedule
- output, every time
- hours given back
Most shops bill you by the hour and hope you don’t notice the bill. We think that’s backwards. Building software got cheap. Proving it pays off didn’t. So we flipped the model: our fee is tied to the savings we agree, and if the verified result is lower, we correct the fee with a refund.
Four steps to a system that pays for itself.
- 01
Savings Audit (free)
We find a costly, repetitive process and measure what it’s really costing you in hours, tools, and errors.
- 02
We agree the number
Together we set the projected Year-1 savings and write it into the scope. No surprises later.
- 03
We build it
Using our agent and automation stack, we ship the working system, usually within days.
- 04
You pay on delivery
50% of the projected Year-1 savings on delivery.* If verified savings are lower, we correct the fee with a refund.† Maintenance is on us for a year.
Move the sliders. Watch where the money goes.
You keep the larger half in year one, and almost all of it after that. Nothing is due until we deliver.
- Upfront cost: $0
- Year 2 onward: you keep $0/yr (flat 10% maintenance)
Illustrative planning range, not a quote. Enter only hours that can be removed or measurably redeployed. The calculation deducts the running cost you enter. A real audit replaces every assumption with records. How we measure savings →
Send me this estimate →- Savings identified in audits to date
- $0
- Typical first build
- 5 to 10 days
- Fee if we find nothing
- $0
- DTC · order reconciliation $29,330
- Trades · quote to invoice $61,000
- Legal · client intake $74,000
- SMB · weekly reporting $39,000
Real processes. Working demos. Modeled numbers.
If a person does it the same way every week, it’s a candidate.
We started in DTC ecommerce and now build wherever small automations have big leverage: trades, law firms, and any ops-heavy team.
Operations
- Order & data reconciliation across tools
- Copy-paste between systems that don’t talk
- Status updates and handoffs chased by hand
Finance
- Invoice matching and chasing
- Expense and receipt sorting
- Month-end numbers rebuilt manually
Fulfillment
- Shipment and tracking exceptions
- Returns triage and routing
- Inventory sync across channels
Support
- Repetitive ticket triage and tagging
- “Where is my order?” auto-answers
- Draft replies from your knowledge base
Sales & intake
- Lead capture and enrichment
- Quote and proposal generation
- New-client intake and document collection
Reporting
- Weekly reports built by hand
- Dashboards stitched from spreadsheets
- KPI roll-ups across departments
Meet the three DTC agent employees → Browse use cases by industry →
We don’t ship it and walk away.
Your automation enters a loop. At month six we re-check it against every new tool and model, and if something better exists, we re-platform you for free. It keeps getting cheaper to run while you keep the savings.
- 1Audit
- 2Build
- 3Prove
- 4Improve
The honest answers.
This sounds too good to be true. What’s the catch?
Three honest ones. First, we only take on processes where we’re confident in the projection, so we say no a lot; if a process is too messy or too small to measure cleanly, we won’t pitch it. Second, the shortfall refund requires that the system was actually used as set out in the agreed scope, so we’re measuring the automation and not a process that quietly went back to the old way. Third, we’re a young firm still building a public track record, which is exactly why the risk sits with us and not you: the guarantee stands in for the years of case studies we don’t have yet. You can check who we are on our about page and register entry, and on LinkedIn.
Are your case studies real?
Every asset carries three independent labels. System status says whether it is a concept, a demo-tested system, or deployed. Data status says whether the inputs are illustrative, synthetic, anonymized real data, or client-approved. Outcome status says whether savings are modeled, observed, or client-verified. The current demo outputs come from runnable systems on synthetic data; they are not client outcomes.
How do you define and measure “savings”?
Before we build, we agree a baseline together: the labor hours your team spends on the process times their loaded cost, plus any tool licenses we’ll replace and the cost of errors and rework. From that we set a projected Year-1 saving and write it into the scope. After launch we re-measure the same line items, so the number is transparent and mutual the whole way through.
What if the savings come in smaller than expected?
Then we correct the fee. If projected savings were $40,000, the delivery fee would be $20,000. If verified savings later came to $30,000, the corrected fee would be $15,000 and we would refund $5,000. The system has to have been used as set out in the agreed scope, so we are measuring the automation rather than a process that quietly returned to the old way.
When and how do we pay?
There’s nothing to pay upfront. The fee, 50% of the projected Year-1 saving, is due when we deliver the working system. If you’d rather not pay it in one go, we can spread it over the first three months as the automation ramps up. After that, maintenance is free for a year.
Find out what you’re overpaying. It’s free to look.
20-minute fit check · no obligation · measured audit for qualified processes.