Drafted a 640 sq ft ADU proposal from the contractor’s pricing model and two comparable jobs.
Scale the operating advantage you already built.
Your business runs on decisions no one wrote down.
Supanova turns the way your best people work into managed AI workflows, so the business can move faster, take on more, and grow without every decision routing back to the founder.
01 / Your operating advantage
Scale the way your best people work.
The decisions that built the business often live in a few heads. Capture them, and more of the team can move at that standard without waiting for the founder.
Workflow as drawn
Request→Review→Done
Workflow as lived
100sof micro-decisions inside the same three boxes
Which client?Current price?Approved scope?Who can decide?Missing input?Known exception?Duplicate request?What changed?Which job?Urgent enough?Ready to send?Who follows up?
Make that judgment reusable and the team can move with the founder’s standards at greater speed and scale.
- ObserveFind what already works
- BoundSet the authority
- BuildMultiply the pattern
- ProveMeasure the gain
- OperateCompound improvement
02 / Capacity in practice
More throughput. Better decisions. Less founder drag.
Two operating contexts show the opportunity first, plus the guardrails that make each gain safe to keep scaling.
Alvarado · field prototype
Proposal time fell from 11 days to 3.
More accurate assumptions. More, faster iterations. The contractor stayed in control of every material decision.
Alvarado · lead to proposalField trace / 001
Raised framing 8% after a current lumber quote. The decision stayed attributable.
Flagged a 25 ft Point Loma setback where the working assumption was 20 ft.
Approved the warning and applied the contractor’s normal scope-change rate.
Proposal ready in 3 days, with more accurate assumptions and room for another iteration.
Lead → proposal · 11 days to 3More accurate · more iterations
EchoBend · active managed engagement
The team was losing 14 combined staff-hours a day to accounting and filing.
Now routine work moves through EchoBend’s existing finance, database, and office suite automatically, multiple times a day. Producers reclaim attention while 412 checks protect the handoffs.
Read the EchoBend case01 · SystemPayment mapped to a known jobApproved project registry matches
02 · BoundaryApproved filing location not foundFiling is held; nothing is misfiled
03 · HumanEchoBend decides what should existThe next run resumes from evidence
03 / Start bounded
One month. One workflow. Something real to inspect.
Thirty days gives the work enough time to reveal the exceptions a workshop will miss.
Proof Monthfrom $5,000Credited to the first managed month
- 01Decision baselineThe real workflow, its limits, and the judgment inside it.
- 02Guarded working systemOne bounded workflow using real inputs and human checkpoints.
- 03Evidence-backed next stepResults, exceptions, failures, open decisions, and managed scope.
Deliberately outside: undefined integrations, broad transformation promises, and critical cutover without approval.
Bring us your workflowConsequential authority stays human.
Every run leaves inspectable evidence.
Your data, outputs, and confidential work remain yours.
After proof · Scope, cadence, review points, service level, and monthly fee become explicit before you continue.
Prove→Operate→Improve
Read our data and ownership commitments ↗04 / Supanova
Built close to operators and the work.
“It’s more capacity without losing the judgment that made the business worth scaling. We learn how your best people work, build around it, and prove the system before asking it to do more.”
05 / Practical questions
Before we look under the hood.
What happens in a Proof Month?
We baseline one workflow, build a guarded working version with real inputs, and leave you with evidence and a written next-step scope.
Do our systems need to be clean?
No. Inboxes, spreadsheets, bolt-on tools, and operator workarounds are usually the honest place to begin.
Do you replace our team?
No. The system handles repeatable work while consequential judgment and accountability stay with your people.
How is our data handled?
Your information stays confidential and isolated, and is never used to train AI by default. The detailed commitments are in Privacy.
Who is a good fit?
Owner-led service businesses, often $10M–$50M, whose growth has outpaced the workflows between their people and tools.
Start with the work
What do you want to scale first?
Bring us your workflow, bottleneck, or capacity opportunity. We’ll tell you what can be proved in 30 days.
Prefer email?furney@supanova.ai