myntai/labs
v0.3 · 2026 · ai implementation studio --:--:-- · MMV

Practical AI for
businesses that ship.

We evaluate, build, and operate AI systems that produce measurable business outcomes — not slide decks. Every workflow ships with a human-in-the-loop boundary, drawn before code is written.

$ book.audit see.work

myntai/labs · status

live

› engagements.live = 2 // hvac · accounting

› audit.queue = 1 // medspa · in-progress

› workflows.in_production = 9

› human.in_loop = true

01

evaluate

Score opportunities by impact, feasibility, governance risk, and repeatability.

02

implement

Build the workflow, the prompts, the approval rules, the audit trail.

03

operate

Monitor, refine, govern. Quarterly opportunity reviews. People in the loop.

01 // selected work 3 engagements · 2 on file
  1. 001

    Home Services · 12-person HVAC firm

    A front desk that never sleeps — and never books wrong.

    After-hours leads were going to competitors. We built an AI intake assistant gated by a 90-second human review queue. Two months later, missed-call revenue is gone.

    Implementation Sprint · 4 weeks · 2026 read.case →
  2. 002

    Accounting · 8-partner firm, mid-Atlantic

    Eighty hours of vendor data entry, returned to the partners.

    Document classification, line-item extraction, and a partner-approval pass. Bookkeeping cycle time fell 62% in the first quarter.

    Sprint + Managed Operations · 3 weeks build, ongoing · 2026 read.case →
see.all.work →
02 // approach ai-native · human-supervised

AI accelerates work.
Humans stay accountable.

A workflow can be fast, smart, and still wrong. So we draw the line plainly: AI drafts, analyzes, classifies, summarizes, prepares. Humans approve anything sensitive, financial, legal, client-facing, or irreversible. Both leave a trail.

  1. 01 evaluate before automating
  2. 02 start with high-value, low-risk workflows
  3. 03 humans accountable for important decisions
  4. 04 document so anyone can read it
  5. 05 track results — and failures — honestly
  6. 06 improve in the open, continuously
03 // engagements three ways to work

Each engagement stands alone. Most clients begin with an Audit and decide from there — there's no obligation to continue. We don't sell retainers that go nowhere.

№ engagement scope duration starts
01

// discovery

Opportunity Audit

 A structured review of your workflows, scored for AI value. ~ 1 wk from $750 details →
02

// buildmost chosen

Implementation Sprint

 Turn one or two scored opportunities into operating workflows. 2–4 wk from $2,000 details →
03

// operate

Managed AI Operations

 Monitor, refine, govern. New opportunities, scored quarterly. monthly from $500/mo details →
04 // industries where we tend to work

trade & field service

HVAC · Plumbing · Electrical · Landscaping · Roofing

professional services

Accounting · Bookkeeping · Tax · Boutique law

creative & strategy

Marketing agencies · Design studios · Consultants

health & wellness

Dental · Med spas · Aesthetic clinics · Physio

property

Brokerages · Property management · Vacation rentals

commerce

DTC e-commerce · Local retail · Specialty wholesale

› not on this list? email us. the work transfers surprisingly well.

// an invitation

Begin with an audit.
Decide the rest later.

One week. A scored opportunity map. Recommendations you can hand to anyone — including a competitor. We're confident in our build, but we won't make it a condition.

$ book.audit team@myntailabs.com
  • 01 no commitment beyond the audit
  • 02 clear deliverables, in writing, upfront
  • 03 implementation, not just advice