Find the friction.
Look at the actual work. Identify the repeated effort, missing information, or idea that never gets time.
START WITH A USEFUL QUESTIONPRACTICAL AI TRAINING & INTEGRATION
Your experience.
AI’s capability.
Extraordinary
possibilities.
You know the work. Learn to take it further.
Turn ideas into tools, information into understanding, and everyday friction into a better way forward.
Built around your people. Grounded in your real work.
THE REAL KNOWLEDGE APPROACH01 — 03
EXPERIENCE × POSSIBILITY
Technology becomes valuable
when people know what to do with it.
A NEW CAPABILITY.
AT EVERY LEVEL.
01 / START WITH THE PERSON
A capable person.
A much bigger toolkit.
You don’t have to be a programmer, designer, or analyst to start creating. Learn how to give AI context, direct the work, and evaluate what comes back.
THE OPERATIONS TEAMTurn “there has to be
Turn “there has to be
a better way” into one.
Bring the steps, the bottlenecks, and the exceptions. Learn to map a process, challenge the busywork, and prototype something your team can actually use.
- Build a searchable troubleshooting guide
- Turn a procedure into a visual job aid
- Prototype a checklist, calculator, or internal tool
Your knowledge of the work is the starting point.
START WITH WHAT YOU HAVE Reviewed & refined by your team
“Here’s how receiving works, where we lose time, and the exceptions we need to protect.”
↓ADD CONTEXT · DIRECT · REFINE · CHECK
A WORKING FIRST VERSION
Receiving, rethought.
01 A clearer process map
02 An exception checklist
03 A prototype receiving tool
Illustrative learning scenario. This preview does not run AI.
Think beyond the first draft. Research a decision. Explain a difficult concept. Build a useful tool. Create a training experience. Explore a design. Improve the way work moves.
↗02 / CONNECT THE ORGANIZATION
Three levels.
One expanding capability.
Start with people. Connect the knowledge they need. Integrate the work when it makes sense. Each level is valuable on its own—and stronger together.
PERSONAL CAPABILITY01 / 03
Learn to direct AI.
Then put it to work.
Work with AI as a capable collaborator. Move from isolated prompts to complete projects: researching, analyzing, creating, testing, and improving with purpose.
Your expertise→AI collaboration→Useful work
WHAT WE EXPLORE
- Choose tools suited to the work
- Provide context and clear instructions
- Iterate, verify, and reuse what works
WHAT YOU BUILD TOWARD
People who can move an idea forward, produce useful work, and recognize when a result needs checking.
Start with approved tools and information appropriate to share.
Integration is a choice, not a prerequisite. Employees can gain useful capabilities before any systems are connected. Deeper integration is scoped around your tools, permissions, and readiness.
03 / LEARN THROUGH REAL WORK
Bring a real challenge.
Leave with a new capability.
Training should change what people can do on Monday. We start with a task your team recognizes and build the skills to take it further.
Build alongside AI.
Break the goal into steps. Supply context, choose an approach, and develop a useful first version together.
LEARN BY MAKING SOMETHINGChallenge the result.
Check facts and sources. Test exceptions. Decide what people must approve before anything is used.
KEEP YOUR JUDGMENT IN THE LOOPMake it repeatable.
Capture a playbook, practice the process, and measure whether the new approach improves the work.
TURN A WIN INTO A WORKING HABITWAYS TO LEARN
Hands-on workshops
/Role-specific practice
/Team playbooks
/Follow-through coaching
BUILT FROM DOING THE WORK
From the database
to the shop floor.
Michael Heaton, M.B.A / Founder, Real Knowledge
The best place to understand a workflow is inside it.
I’ve spent approximately 20 years creating and improving business systems, translating ideas into tools people use every day. My work spans SQL Server development, manufacturing and inventory, employee training, safety records, and document workflows.
I also work alongside the people using those systems. That experience shapes how I use AI: start with a real need, build something useful, test it against the work, and help people adopt it.
Real Knowledge brings that practical mindset to AI training—helping people build on their own expertise and explore what they can do next.
20~YEARS BUILDING BUSINESS SYSTEMS
3LEVELS OF PRACTICAL AI ADOPTION
CONFIDENCE COMES FROM GOOD PRACTICE
Human judgment.
By design.
Useful AI adoption includes knowing where the limits are. Learn to protect sensitive information, verify important claims, respect access permissions, and keep consequential actions subject to appropriate review.
A few important questionsA LITTLE CLARITY
Good questions.
Honest answers.
Do we need technical experience?
Employee workshops can start with the work you already understand. Technical experience becomes more relevant for data connections and system integrations. We match the starting point to your team.
Is this just about writing better prompts?
Clear instructions help, but the bigger skill is directing a complete piece of work: supplying context, choosing tools, breaking down a goal, refining the output, and checking whether it is useful and correct.
Do spreadsheets still have a place?
Yes—when they suit the job. AI can help analyze a workbook, explain calculations, or explore data. It can also help you build a better tool or workflow when a spreadsheet has become a bottleneck. The task determines the approach.
Will AI get everything right?
No. It can produce convincing mistakes and miss important context. Training includes verification, source checking, testing, and recognizing when a person with the right expertise needs to make the call.
Can it work with our documents and software?
Often, depending on your tools, licensing, permissions, and data quality. Connected AI retrieves approved information; integrated AI can take defined actions. Both need deliberate setup and testing. Not every system supports the same capabilities.
Can we book training yet?
Real Knowledge is currently in development. This is a concept site for exploring the approach. Booking and contact details will be added when the business is ready. No inquiries or personal information are collected here.
YOUR NEXT POSSIBILITY
What could your team do
with a little more capability?
Start with one person, one question, or one process.
Explore a sample learning path built around your work.