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.
Review method in development
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?”
A buyer needs a clear answer and supporting facts. Recorded evidence now includes a first consumer AI baseline from one signed-in owner account using Temporary → Unpersonalized / Instant. Historical search evidence is reported separately. The method remains in internal validation; customer outcomes are untested and no improvement is claimed.
AI Discoverability Review
We are developing a review that starts with agreed buyer questions and the public pages that should answer them. The proposed method keeps discovery tests separate from supplied-site checks. Each record identifies the surface actually tested; unavailable surfaces remain untested.
- A record of the questions, observed search results or tested answers, and their sources
- Missing, unclear, or conflicting facts in the public information
- A short list of practical fixes, ranked by likely value
Method in internal validation. A first consumer AI baseline has been recorded under one signed-in owner-account condition, Temporary → Unpersonalized / Instant. This establishes a baseline, not a measured improvement. Customer outcomes remain untested. Any future paid work requires agreement on readiness, scope, available test surfaces, price and timing. No search ranking, AI citation or sales result is promised.
See a foodservice worked example with synthetic source records, a proposed correction and outcomes still to be measured.
Discuss the review methodHow 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
A review method in internal validation for buyer questions and public information. A first consumer AI baseline is recorded on one signed-in owner account using Temporary → Unpersonalized / Instant. Customer outcomes remain untested; no improvement is claimed.
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
Discuss a review in development
The proposed AI Discoverability Review would connect agreed buyer questions to observed results, source evidence and practical corrections. Test surfaces, deliverables and readiness would be agreed before any engagement.
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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