Design
Deciding what the workflow should be before anyone writes a prompt.
Complexity should be calm.
NoMind is a fractional AI leadership practice. Operations-heavy businesses hire us as their Chief AI Officer to decide where AI actually pays. Startups hire us as their CTO to build AI-native products that get stronger with every model release.
FocusChief AI Officer · fractional CTO · AI strategy & governance
Best fitServices · healthcare · insurance · logistics · AI-native startups
PathsAI Opportunity Map (2–3 weeks) · fractional leadership · implementation oversight
Everyone sells it, but who owns it?
Vendors sell tools, agencies sell builds, and your own team is experimenting in pockets. Whichever side of the market you're on, what's missing is the executive on your side of the table. We take one of two seats.
A.You run on operations
Services, healthcare, insurance, logistics, professional firms. The value hides in intake, claims, scheduling, documentation, and reporting, and the risk sits right next to it. We take the Chief AI Officer seat: a ranked map of where AI pays, build / buy / block calls, honest cost per completed task, and supervision rules for anything that touches customers or money.
B.You're building an AI product
Calling yourself an AI company is easy. Surviving the march of model progress is the hard part. We take the CTO seat and build what compounds: eval harnesses that hold your quality bar through model swaps, architecture that treats models as replaceable parts, and the workflow and data ownership a frontier lab can't copy.
Where it gets stuck.
Integration
The demo runs in a sandbox. Your work lives in twelve systems.
Orchestration
Which model runs, in what order, and what happens when one fails.
Signals
Knowing when the AI is wrong before your customers tell you.
Optimization
Making it fast and cheap enough to run at real volume.
Adoption
Getting your team to trust it instead of working around it.
AI needs ROI.
A few of the numbers we watch.
Track your cost$ / completed task
$0.004 per prompt → $0.42
The real cost of one finished task, with retries and human review included.
Count finished worktasks / night
412 finished overnight
Work that finishes overnight with no one watching the queue.
Watch the slow runsend to end
p95 3.8s
A few runs are always slow. Customers feel those, so we fix them first.
Test every releasebefore launch
104 / 108 pass
108 checks catch hallucinations and wrong answers before a change ships.
Track how AI is usedaudit log
1,847 runs logged
Every run is logged: which workflow, what happened, and what it cost.
Representative readouts.
Instant expertise, future excellence.
SelectedAI Opportunity Map
A fixed-scope, 2–3 week diagnostic that shows where AI pays in your business before any serious spend.
Best for
You know AI matters but need to decide where it belongs before hiring, buying, or green-lighting pilots.
Outcome
A ranked opportunity map, build / buy / block calls, readiness gaps, and a 90-day roadmap your team can execute.
What it includes
- Workflow interviews and opportunity scan
- Value, feasibility, risk, and owner model by use case
- Vendor and internal idea pressure-test
- Executive decision memo and 90-day action plan
SelectedFractional Chief AI Officer
Part-time executive ownership of your AI agenda: strategy, vendors, governance, and delivery pressure-testing.
Best for
You have projects, vendors, or internal teams moving already, but no single senior owner of the AI roadmap.
Outcome
An accountable operating cadence for AI: roadmap and vendor decisions pressure-tested, risk boundaries set, and leadership that can answer the board's AI questions.
What it includes
- Recurring executive advisory and technical review
- Vendor diligence and contract pressure-testing
- Governance, supervision boundaries, and risk design
- Hiring, team shape, and capability building
SelectedFractional CTO
Hands-on technical leadership for startups whose product is the AI: architecture, evals, and a team that ships.
Best for
You're a founder with real AI traction, and the gap between a good demo and a defensible product is getting wider.
Outcome
A product built for model progress: evals that hold the quality bar, models treated as swappable parts, and technical hires you don't regret.
What it includes
- Product and model architecture
- Eval harnesses and quality systems
- Model strategy and cost engineering
- Technical hiring and team leadership
SelectedImplementation Oversight
From decision to deployed capability: scoped, evaluated, and governed, without turning your company into someone's science project.
Best for
You have a validated direction and need pilots scoped, success criteria defined, architecture reviewed, and builders held to the plan.
Outcome
A governed path from plan to production, with readiness gates before automation touches customers, money, or compliance.
What it includes
- Pilot scoping and evaluation design
- Architecture, workflow, and data-readiness review
- Evals and internal automations built hands-on
- Launch gates for cost, risk, review, and ownership
Senior AI judgment,
on your side of the table.
NoMind is led by Chris Bun, a PhD computer scientist and former CTO who has spent his career turning ambiguous technical possibility into working systems.
He works both seats of the AI market: CTO for startups building AI-native products, Chief AI Officer for businesses putting AI to work in operations. He has built and shipped production machine learning for over a decade, so he can tell you which claims are real, which are demo theater, and what it will take to run inside your operation.
What executives ask us first.
01What does a fractional Chief AI Officer actually do?
The same things a full-time Chief AI Officer would: own the AI roadmap, rank opportunities, run vendor diligence, set governance and supervision rules, and answer to leadership for results. Most companies need a few days a month of that judgment rather than a full-time salary.
02Do I need a fractional CTO or a fractional Chief AI Officer?
If the product is the AI, you need a CTO: architecture, eval harnesses, model strategy, and a team that ships. If the operations are the opportunity, you need a Chief AI Officer: a map of where AI pays and rules for how it runs. NoMind covers both seats, and the first conversation sorts out which one you're hiring.
03How is this different from hiring an AI consultancy or agency?
Agencies are paid to build, so their incentive is a bigger build. We're paid for judgment and sit on your side of the table, which sometimes means the recommendation is buy it, wait, or never automate this. When building is the right call, we scope and supervise it rather than sell it.
04We're not a software company. Does this apply to us?
You're the best fit, actually. The highest-return AI work right now is in operations-heavy businesses like services, healthcare, insurance, logistics, and professional firms, automating intake, documentation, scheduling, claims, and reporting. You need judgment about what's real more than you need an engineering department.
05What does it cost?
The AI Opportunity Map is a fixed-scope engagement, typically 2–3 weeks. Fractional Chief AI Officer retainers run a fraction of a full-time executive hire and scale with cadence. Either way, you know the price before we start. It's the same discipline we bring to your AI spend.
06How do we start?
With a conversation. Tell us where AI is creating pressure. If there's a fit, we usually recommend starting with the Opportunity Map so the relationship begins with a concrete, finished deliverable.
Start with noise. End in calm.
One conversation is enough to begin.
Start a conversation →no mind