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Mid-market AI studio

We map your operation, find the three builds with a clear line to the P&L, and tell you what each is worth. Then you decide.

Headline wedge to be set with you

Opportunity Explorerlive
Industry
Most repetitive task
People doing it
3
10 hrs
The build

Invoice-to-PO reconciliation, automated

Annual value reclaimed (est.)
$64,500
$51,600 to $64,500 a year

A deterministic workflow matches invoices to purchase orders on the key fields and flags only the exceptions a person needs to judge.

This is an estimate from the numbers you gave. The Audit confirms it against your books.

02Proof

Boring builds with a clear line to the P&L.

Anonymized real builds. We do not name clients, and we do not invent numbers.

01A mid-market transport client

Dispatchers spent the first two hours of every shift rebuilding the same routing and driver schedule by hand.

A nightly job reads both systems, builds the schedule against the dispatch rules, and surfaces only the exceptions a human needs to judge.

hours / week reclaimed
9 hrs
off the dispatch desk
02A mid-market distributor

Three people reconciled invoices across an accounting system and a vendor portal that never agreed.

A deterministic workflow matches invoices to purchase orders on the key fields and flags the two percent that genuinely need a human.

monthly staff time recovered
$4,200
reassigned, not cut
03A professional-services firm

Every inbound request landed in one inbox and waited for a partner to read, sort, and route it.

Inbound mail is classified, fields are extracted, and each request is routed to the right queue with a draft reply attached.

hours / week off the partners
31 hrs
first response under an hour
03Method, Maze AOS

Six steps from operation to a system that holds.

See the full method
01

Discovery from first principles

If you rebuilt this operation today, knowing what AI can do, how would you do it? We start there, not from the org chart you already have.

02

Codify the business logic

SOPs, decision trees, and KPIs go into a spec. The rules that live in three people's heads become something a system can run.

03

Build on a deterministic harness

Event-driven workflows do the heavy lifting. The model runs only where it earns its place, never as the thing holding the wiring together.

04

Personify with internal AI employees

Each agent gets a name, a job, and a boundary. Your team knows who does what, and so does the audit log.

05

Verify with hard success criteria

Success is a KPI checklist agreed up front, not the model reporting that it went well. If it does not clear the bar, it does not ship.

06

Close the loop

Monitoring, retraining, and periodic re-architecture. The system that was right in March is reviewed in September, before it drifts.

Hover a step to read it

05The tool

Try the intake. Five questions, one opportunity, a number.

The same intake that opens an Audit, running on the site. Tell it what your team does by hand. It names one build worth shipping, puts a rough number on it, and shows what the build looks like.

Run the intake

Start with the number.

The Audit maps your operation, ranks the builds with a clear line to the P&L, and tells you what each is worth. Then you decide.