AI opportunity & workflow assessment
Map repeatable work, estimate the value of changes, and rank small experiments by expected benefit, effort, and risk.
Service design in development
Wheeler Intelligent Systems LLC · Washington
Make AI useful
in your business.
We help operating businesses find practical uses for AI, make their information easier for AI to find, and test new ways of working with clear human control.
The operating system
PeopleAI roles
KnowledgeSystems
Business
purposeGoverned learning
purposeGoverned learning
One managed organization.
Not a collection of tools.
Featured pilot service
When someone asks AI about your business, what will it say?
People may ask an AI assistant for a business like yours, compare providers, or check whether you offer a specific service. The assistant may find old facts, miss a key page, mix you up with another business, or give no answer. A good website is a start; you still need to see what an assistant can actually find and explain.
A simple example
“Can this company help my business get found by AI?”
If AI cannot find a clear answer and a source it trusts, a buyer may never reach your website. The test shows the answer, the source behind it, and what your public pages leave unclear.
AI Discoverability Review
We agree on the buyer questions and scope first. Then we test what an AI assistant can find without being given your website, and what it can answer when your site is supplied.
- A record of the questions, answers, and cited sources
- Missing, unclear, or conflicting facts that affect the answers
- A short list of practical fixes, ranked by likely value
Pilot method being tested. Scope and price are agreed before any paid work. Results are a snapshot, not a promise of search ranking, AI citation, or sales.
Ask about a pilot reviewHow we can help
Start with a business question.
Our current work centers on three practical questions: Where can AI create value? Can AI find and explain your business? How should AI work safely alongside your people?
AI Discoverability Review
Test the questions real buyers may ask AI. Record what the model answers, where it gets its facts, and what your public information leaves unclear.
Governed AI roles
Define one useful AI role, its human owner, knowledge, limits, tests, and a clear decision to continue, revise, or stop.
Pilot approach in development
A practical way to begin
Learn what AI sees. Decide what to change.
Each step should be useful on its own. A report does not require a later project with Wheeler IS.
Get a first view
Try the management scorecard available below. A separate free AI visibility check is being designed to show what an AI assistant can find about your business.
Management scorecard available · Visibility check in development
Request a pilot review
The AI Discoverability Review tests buyer questions, shows what AI answered and where the evidence came from, and ranks fixes you can make yourself or give to another provider.
Put the findings to work
Where the evidence supports it, Wheeler IS may help prepare a webpage, improve product data, or test a controlled workflow. Deeper work may reach the business systems and ERP behind those answers.
Scope and readiness assessed for each project
Roles before agentsDefine the job before choosing the tool.
Authority must be earnedExpand autonomy only after evidence.
People remain accountableEvery AI role has a human owner.
01 — The larger idea
An agent does a task.
An Intelligent Company changes how the business works.
Most companies are adding AI one tool at a time. Employees ask questions, draft documents, and test agents. Useful work happens, but the company itself remains unchanged.
An Intelligent Company is designed so people, AI roles, trusted knowledge, business systems, and management controls work together. It knows what work belongs with people, what work AI can support, and where software should remain deterministic.
Begin with a business outcome. Give AI a clear job, test its work, and keep people accountable for the result.
The company, viewed as a system
Five layers. One operating model.
Business purpose
Begin with the outcome the company must create—not with an AI feature.
Organization
Define the human and AI roles, their owners, and how work moves between them.
Intelligence
Give each role approved knowledge, sound reasoning methods, and useful context.
Operations
Assign, complete, review, measure, and improve work through repeatable processes.
Governance
Control authority, access, risk, escalation, shutdown, and accountability.
A practical operating method
Manage AI as part of the workforce.
A company does not gain an AI workforce by buying licenses. It gains one by defining useful roles, giving them boundaries, and managing their performance.
- Define
Choose a measurable business outcome and the work required to create it.
- Assign
Name a human owner and document the AI role’s duties.
- Limit
Set approved knowledge, tools, authority, prohibited actions, and escalation rules.
- Test
Evaluate normal work, missing information, bad instructions, and failure behavior.
- Operate
Monitor results, cost, interventions, changes, and lessons over time.
The starting engagement
Launch one useful, governed AI role.
The AI Role Launch Pilot turns one repeatable business need into a defined, supervised role inside the customer’s approved enterprise AI platform.
The pilot includes
- Business outcome and baseline
- AI role charter and human owner
- Knowledge and data boundaries
- Authority and approval matrix
- Normal and adversarial testing
- Operating and change records
- Continue, revise, integrate, or stop decision
The first role remains human-reviewed and excludes autonomous payments, contracts, employment decisions, legal conclusions, and production changes.
Free management tool
Is your company ready to employ AI?
Answer 20 questions across five areas. You will receive an immediate maturity result and a practical next step. Your answers stay in your browser and are not submitted.
Free management scorecard
Know whether you are experimenting with AI—or ready to manage it.
This is a management tool, not an audit or certification. It does not certify that an AI system is safe, secure, compliant, or error-free.
About Wheeler IS
Built by John Wheeler.
John founded Wheeler Intelligent Systems LLC to study how a small company can use AI responsibly to do useful work at scale. His background spans company operations, finance, business systems, and data analysis.
The company is developing assessments, practical tools, and controlled experiments for established operating businesses. We publish what we learn and distinguish a working pilot from a proven customer result.
Read John's articles ↗ Connect on LinkedIn ↗Get in touch
Tell us what you are trying to improve.
Start with the business problem, the information you already have, and the result you want to see. We will use that to decide whether one of our current pilot methods fits.
Or email contact@wheeleris.com directly.
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