AI changed the operating model of business. Most companies haven't caught up.

Scarcity is over. You can spin up a head of marketing, a dev team, or a legal review anytime you want. The companies that understand this are pulling away. The ones that don't are falling behind faster than they realize. We help you become the former.

Working with PE-backed healthcare companies managing 500–1,000+ employees

What it looks like when AI actually ships

Healthcare · Multi-site Practice Platform · 800+ Employees

AI-Powered Call QA: Every Call. Every Rep. Every Word.

This company was manually reviewing 3% of contact center calls. Compliance risk was invisible. Top performers couldn't be identified or replicated. We deployed HIPAA-compliant AI scoring across 100% of calls — flagging compliance risk in real time, ranking rep performance across every location, and surfacing coaching insights automatically.

100%
calls scored
(up from 3%)
Real-time
HIPAA compliance
risk flagging
41%
improvement in
rep performance
60 days
from kickoff
to production
Healthcare · Provider Network · 600+ Employees

AI Outbound: Automated Calling That Actually Converts

Outbound patient outreach was bottlenecked by headcount — reps could only make so many calls per day, and quality was inconsistent. We built an AI-powered outbound calling system that handles scheduling, follow-ups, and re-engagement autonomously, with natural conversation and real-time escalation to humans when needed.

3x
outbound call
volume
Significant
improvement across
all KPIs
24/7
automated outreach
coverage
HIPAA
compliant by
design

The Operating Scan

Two weeks. Full diagnostic. We map your operations, identify the highest-ROI AI opportunities, and hand you a prioritized roadmap with clear owners, timelines, and expected impact. No fluff. No 80-page deck you'll never read.

Days 1–3

Immersion

We embed with your team. Shadow workflows, map call flows, review tech stack, interview department leads. We learn your business like we work there — because for these two weeks, we do.

Days 4–8

Analysis & Opportunity Mapping

We score every process against our automation framework: impact, effort, risk, and data readiness. You'll see exactly where AI can save money, reduce headcount dependency, and improve quality — ranked by ROI.

Days 9–10

Roadmap Delivery

A prioritized execution plan with 3 tiers: quick wins (ship in 2 weeks), medium bets (30–60 days), and strategic plays (90 days). Each with clear owners, success metrics, and budget estimates. Boardroom-ready.

Three levers. Every engagement.

01
🔍

Find the Leverage

Most companies automate the wrong things first. We identify the 20% of workflows creating 80% of the drag.

  • Process mapping & bottleneck scoring
  • Data readiness assessment
  • ROI-ranked opportunity matrix
  • Quick wins vs. strategic bets
02

Ship in Two Weeks

We build and deploy AI solutions in 14-day sprints. If it takes longer, the scope is wrong.

  • Purpose-built AI (not off-the-shelf)
  • HIPAA/SOC2 compliant by default
  • Integrated with your existing stack
  • Measurable KPIs from day one
03
📈

Measure & Compound

Every deployment gets measured. What works gets expanded. What doesn't gets killed fast.

  • Real-time performance dashboards
  • Continuous model improvement
  • Team training & change management
  • Expansion roadmap for next wins

What we believe

Everything changed in December 2025. The models got an order of magnitude better. Not incrementally — fundamentally. The capability gap between companies using AI well and companies still "exploring" it is now a chasm. And it's widening every week.

Once you AI-pill yourself, you can't look at meetings, workflows, or people the same way. You start seeing waste everywhere. You start asking why anything takes more than two weeks. Nothing we build takes longer than two weeks. Anything longer is an excuse.

We're in the era of abundance. You can no longer blame your headcount when you can deploy an AI that does the work of an entire function. The question isn't whether you can automate — it's whether you have the conviction to actually do it.

There are 10x people and 1x people. 10x people have jobs that can be accelerated by AI. 1x people can't. Which people on your team are which? Figure that out, hire 10x for the 10x roles, and automate everything else.

Principles, not process theater

Nothing takes more than two weeks

If a project timeline is longer than 14 days, the scope is wrong or the approach is wrong. We ship fast because the tools allow it — and because speed is a competitive advantage you can't fake.

Automate everything that can be automated

Keep humans on consequential decisions. Everything else — routing, triage, drafting, QA, reporting — should run without someone sitting in a chair doing it manually.

Use the best models. Pay for thinking.

Extended thinking in Claude Opus 4.6. GPT-5.4 for breadth. Max thinking for coding. Cheap models produce cheap results. We use what works, not what's cheapest.

Go up a level of abstraction

Don't hand AI a list of requirements. Explain the problem. Let it brainstorm with you like a subject matter expert. The companies getting the most from AI treat it as a thinking partner, not a task executor.

10x roles vs. 1x roles

Some jobs need exceptional humans. Most don't. Figure out which is which, hire 10x for the 10x jobs, and let AI handle the rest. The organizations that get this right will be unrecognizable in 12 months.

Conviction over consensus

You don't need another committee or pilot program. You need someone who's done this, knows what works, and will tell you what to do — not what you want to hear.

Thinking on AI, shipping, and the new operating model

The Two-Week Rule

Why nothing should take longer than 14 days.

Read →

AI Transforms Every Business Process

Where to apply AI first for wins you can measure.

Read →

Build vs. Buy at SaaS Renewal

When it's time to stop renting and start owning.

Read →

Vibe-Coded Apps in Production

Ship fast without the security mistakes that kill you later.

Read →

AI Feature Security Checklist

Guardrails for when the AI is customer-facing.

Read →

10x People vs 1x People

How AI exposes the gap — and how to build for it.

Read →

There are 10x people and 1x people.

10x people have jobs that can be accelerated by AI. 1x people can't. Which people on your team are which? Let's find out.