AI implementation for knowledge-driven organizations

Start with the work.

Most organizations begin with the technology — comparing models, evaluating software, buying licenses — before they understand the work they're trying to improve. We start the other way around. Everything else follows.

Take the AI-Readiness Assessment

Free · 10 questions · ~5 minutes — you get a scored read on where your work stands today, the worksheet we use in real engagements, and a straight recommendation on where to start.

Already know where you want to start? Book a 60-minute strategy session →
The White HouseUniversity of ChicagoEmbedded with 30+ research & innovation officesDeploys real production AI
The belief

Technology should never define the work.

AI is not valuable because it automates work. It is valuable because it changes what work people are able to do. When repetitive administrative work is reduced, experts spend more time applying judgment. When institutional knowledge becomes easy to reach, the organization becomes more capable.

That is the difference between deploying software and implementing AI. We don't measure implementation by licenses purchased or prompts written. We measure it by organizational capability — and we ask a different question than most consultants.

What can your organization do today that it couldn't do yesterday?

How we work

Start with a conversation about the work. Not a software demo.

Every engagement earns the next one. Nothing here requires you to commit to a build.

Start free

AI-Readiness Check

Five minutes on where your AI use stands today — and what to look at first.

  • 10-question scored self-assessment
  • The worksheet we use in real engagements
Free · 5 minutes
Take the readiness check
Where most clients start

AI Strategy Session

One focused hour on your actual workflows. You complete a short intake first, so we skip the background and go straight to where your experts are losing time — and the highest-impact place to begin. A working session, not a sales call.

  • Short intake completed before we meet — no discovery on the clock
  • A map of where expertise is being wasted today
  • The one or two workflows worth starting with
  • A concrete plan you can act on this week
$250 · 60 minutes · intake included · a complete session, not a deposit
Book your strategy session Take the free readiness check first →
Go deeper

Workflow Audit

A 1–2 week engagement that ends in a written plan. We map how work moves through your organization end to end, then hand you the roadmap for what to automate, in what order, and why.

  • End-to-end map of how the work is performed today
  • Where expertise is lost to administrative friction
  • AI-tool & data inventory — what's in use, where data flows
  • Prioritized automation roadmap, sequenced by impact
  • Reference architecture and written implementation plan
$3,500 · 1–2 weeks · credited toward implementation
Book your workflow audit Prefer to talk first? Book a 15-min intro →
For teams & firms

Workshops & Training

Capability doesn't transfer through a memo. We train your team on the work they actually do — which tool for which job, and where the real boundaries are. Half or full day, virtual or on-site.

  • Build Your AI Stack — the right tool for each job, and the workflows that make people faster
  • Defensible use — what leaves the building, and what never should
  • A playbook each person builds and keeps
Half-day $5,000 · Full-day $8,500 · virtual or on-site · travel billed separately
Plan your workshop See the full workshop breakdown →
Last, not first

Private AI Build

When implementation has proven the case and the work genuinely can't leave your environment, we build and deploy it inside your own infrastructure — logged, access-controlled, and traceable.

  • Scoped from a completed Workflow Audit
  • Built around work that already earned its trust
  • Runnable by your existing team
$12,500–$20,000 · 40% locks your date
Book a scoping call Ready? Pay the deposit to lock your date →
Selected work

Don't take our word for it — try the system.

Live, interactive prototypes running on public data. The production versions run privately, inside the client's own environment.

Live demoPatent & document intelligence

Translation Radar

Ask plain-English questions across thousands of patents and technical documents — and get answers with citations back to the exact source.

RAGCited answersDocument search
Try the live demo →
Coming soonInvestment intelligence

Real-Estate Demand Radar

Forecasts where housing demand is building — before the market prices it in — from employment and migration signals across hundreds of metro markets.

Predictive analyticsAgenticDashboards
Join the waitlist →
Coming soonLegal matter intelligence

Matter Explorer

Search every document in a matter — from medical records and depositions to expert reports — and receive traceable, page-cited answers and structured insights.

Page-citedRAGStructured insights
Join the waitlist →
The method

The Work Before AI Framework™

Organizations don't become capable by buying a platform. They become capable one workflow at a time — and each step earns the next.

Implementation

We start by understanding how the work is actually performed today — where expertise is wasted, where administrative friction slows people down. Then, and only then, we decide what technology belongs in the workflow.

Trust

Each implementation is scoped small enough to prove itself. When a team sees the technology genuinely improve their work, it earns their trust — which no rollout mandate can manufacture.

Adoption

Trust is what makes adoption happen on its own. People use the tools that make their work better. This is the step most AI programs skip, and the reason most of them quietly fail.

Capability

Repeat it across workflows and the organization can do things it couldn't do before. Capability compounds — and capability is what becomes competitive advantage.

Custom engineering comes last, not first. Only after an organization has mastered implementation do we recommend private AI or advanced architecture. Complex technology should solve problems that implementation cannot — not problems that thoughtful implementation would have prevented.
Read the full framework →

Who we work with

Organizations whose product is expert judgment.

Where the work is knowledge-driven, the data is sensitive, and the cost of getting it wrong is real.

Law firms

Confidentiality and privilege are non-negotiable. We reduce the document work that buries associates, without putting client data anywhere it shouldn't be.

Schools & universities

Student data, FERPA, and AI literacy. Practical implementation for classrooms and administration — where teachers keep the judgment and lose the paperwork.

Commercial real estate

Leases, offering memoranda, and diligence. Turning documents that arrive in twelve formats into intelligence an asset manager can actually sign off on.

Wealth management

Advisor productivity under Reg S-P and client confidentiality. More time on advice, less on research and reporting.

About

Who's behind this.

Kyle Cedric Hanna
Kyle Cedric HannaFounder, WorkFirst AI · Chicago

WorkFirst AI is led by Kyle Cedric Hanna — an AI engineer and data scientist who builds the systems, not just the slide deck about them.

His work has been embedded with the White House and the University of Chicago, alongside more than 30 research and innovation offices. The demos on this site are real systems he's built; the production versions run privately, inside the client's own environment, where the data never leaves their control.

Most AI projects fail quietly — built on weak foundations, impossible to govern, abandoned within six months. Usually because they started with the technology instead of the work. We do it the other way around: understand how the work is performed, find where expertise is being wasted, implement one workflow at a time, and let each result earn the next.

Because technology alone does not transform organizations. People do.

Book a 60-minute AI Strategy Session →
Writing

Plain-English AI, for people who run things.

Practical pieces on implementing AI that people actually use.

Risk

The AI Mistake That Could Put Client Confidentiality at Risk

Substack →
All writing on Substack →
FAQ

Straight answers before you reach out.

We haven't picked a tool yet. Is that a problem?

That's the right place to be. Choosing a tool before you understand the work is how most AI budgets get spent on software nobody ends up using. The Strategy Session exists precisely for this moment — we work out what the technology needs to do before deciding what it should be.

How much does this cost?

The readiness check is free. The Strategy Session is $250. The Workflow Audit is a fixed $3,500, credited toward implementation if you proceed. Workshops are $5,000 half-day or $8,500 full-day. Builds are scoped to the work. Tell us what you're trying to improve and you'll get a straight number.

Why not just build something custom right away?

Because complex technology should solve problems that implementation cannot — not problems thoughtful implementation would have prevented. Most organizations get more value from three well-chosen workflows than from a custom platform nobody trusts. We recommend a build when the case for one is already proven, not before.

Do we need technical staff on our side?

No. Everything is designed to be run by the team you already have. Part of the audit is assessing how much technical lift each option requires — and favoring the ones you can operate without a data scientist on payroll.

Is our data kept private?

Yes. Your data stays yours. We work under NDA, don't train external models on your proprietary data, and where we deploy, we deploy inside your own environment — security, logging, and traceability built in, not bolted on.

What do we actually walk away with?

From the Strategy Session: a clear read on where your experts are losing time and which workflow to start with. From the Workflow Audit: a written map of how the work moves today, a prioritized automation roadmap, and an implementation plan. Yours to keep, whether or not we work together after.

Join the list

Ideas on implementing AI that people actually use.

Practical writing on the work-first approach, plus new systems as they ship.

No spam. Unsubscribe anytime.

Or book a 60-minute strategy session →