Two weeks to an AI roadmap your board can fund.
You feel the pressure. In two weeks, you'll know what to fund, what to stop, and the sequence leadership can defend.
Not ready for a paid audit? Take the free AI Readiness Assessment first.
AI Strategy Readout
The case, sequence, and next decisions.
10/10 NPS across client work · 70k+ people taught · 50k operators read AI Ready.
Stop spinning your wheels on AI. Know what to do next.
Most teams are not ignoring AI. Activity is simply outpacing judgment, and nobody owns the sequence.
AI activity without leverage.
Each function chooses tools differently, and leadership loses the system view.
Experiments happen, but the work never becomes an operating habit.
The model is not the constraint. The missing business context is.
Every AI decision feels one model release away from being wrong.
An AI roadmap your team can act on.
The few AI bets worth executive attention are ranked and defensible.
Low-value pilots and tool ideas are explicitly paused before they burn more time.
Workflows, data, handoffs, and decision rights are mapped before tools are chosen.
Build, buy, train, govern, and revisit in the order your company can absorb.
In two weeks, you'll have an AI strategy your board can get behind.
It shows where AI creates leverage, what should stop, what to fund next, and why the sequence is worth backing.
AI Strategy Readout
A leadership-ready strategy: priorities, tradeoffs, owners, and the next decision.
- Cross-team AI work duplicated in 3 places
- Workflow context missing on 4 of 6 pilots
- Decision owners unclear on 38% of in-flight bets
Where work, tools, context, and handoffs break down today.
- Customer ops triage8.4
- Internal context search6.7
- Sales prospecting6.2
Scored by value, feasibility, and adoption risk.
Fund customer ops triage
Highest-leverage AI move the team can absorb this quarter. Reduces manual triage load, with a clear owner and a six-week pilot path.
Stop spending here
Internal “AI chat” prototype, vendor evaluation for LLM #7, and general-purpose copilot rollout. Workflow context is missing.
A strategy that clears the bar.
Enough rigor to earn confidence, without turning AI strategy into theater.
Led by experts who have done this for a decade.
Haroon Choudery
ML engineer since 2018. Built in AI evaluation before it was a category. Now helping operators turn AI pressure into strategy.
One of the earliest AI evaluation startups, serving customers like Hinge Health and ClickHouse.
Founded one of America's leading AI literacy nonprofits.
Writes practical AI strategy for leaders trying to turn pressure into advantage.
You can see the decisions we help teams make.
Real client work should make the risk feel lower, not ask you to trust another AI opinion.
“The audit helped us prioritize where AI could create real operational value without adding complexity. It made the path forward much clearer.”
Mapped where AI could support care operations without adding workflow drag or clinical risk.
Operators left with practical workflows and a shared language for where AI belonged.
You won't wait months to know what to do.
Week one maps how work actually happens. Week two turns the diagnosis into a sequence leadership can fund, pause, and defend.
Map reality.
Leaders, operators, and teams closest to the work.
Where context, approvals, and handoffs slow the system down.
What is already in use, duplicated, ignored, or worth keeping.
Decision handoff
The messy map becomes a ranked operating choice.
Turn judgment into sequence.Build the roadmap.
Value, feasibility, risk, and what needs to be stopped.
Build, buy, train, govern, and revisit in the right order.
A leadership-ready recommendation with next steps and tradeoffs.
Privacy stays clear from day one.
We clarify who touches what information before the work begins.
Data handling: scoped, documented, and limited to what the audit requires.
Ownership: the plan, findings, and recommendations are yours to keep.
A few things to know before you apply.
The audit is a strategy engagement for teams with urgency, budget, and a real decision to make.
What do I actually walk away with?
A written roadmap your leadership team can use: current state, leverage map, stop list, and the sequence for what to build, buy, train, govern, and revisit.
Why start with an audit instead of building something?
Because building before diagnosis is how companies end up with expensive pilots that never become operating leverage. The audit tells us what is worth building first.
How do we know if we are qualified?
Good fit usually means AI is already a leadership priority, there is budget to act, and the team can give us access to the workflows and decision-makers that matter.
What if AI changes again next month?
Tools change. Your workflows, decision rights, context, and trust systems change more slowly. That is where the plan starts.
What happens after applying?
We review fit, then qualified teams get a 20-minute diagnostic call before we open a slot.
Apply for one of 3 monthly audit slots.
If AI is already on your leadership agenda and you need a roadmap your team can act on immediately, apply now. Audits start at $10k.
Tell us what is already in motion and where decisions are stuck.
We check urgency, budget, data access, and readiness to act.
Qualified teams get a 20-minute call before we open a slot.
Accepted teams start with a focused intake and two-week sprint.