AI Visibility & Recommendations
Be the brand AI recommends. People don’t search the old way anymore. They ask AI.
Read more about AI Visibility
Make AI useful to the people who actually do the work.
Your team doesn’t need another presentation about AI. They need to understand how AI fits into the work they already do.
We start with your business, your people, and your workflows, find where time is being lost, pick the combination of tools that fit, and teach your people to put them to work.
Curious where AI fits your team? , our AI Training Consultant, for a ten-minute preview of the path from today’s work to an AI-enabled future state.
Don’t start with the tool
Start with the work.
ChatGPT. Claude. Copilot. Gemini. Choosing a tool isn’t an AI strategy. The better question: where is your team spending time today that they shouldn’t have to?
Click or tap a task to see its before and after.
Today
- A question comes in
- Open site after site
- Copy findings into a document
- Compare everything by hand
- Write up the answer
AI-enabled
AI gathers and organizes the information while the employee checks the sources and draws the conclusion.
Today
- The inbox fills up
- Reread the whole thread
- Retype the same explanation
- Polish and send
- On to the next one
AI-enabled
AI drafts replies and summarizes long threads while the employee reviews them, adjusts the tone, and sends.
Today
- Gather the documents
- Two hours of review
- Pull out what matters
- Prepare the summary
- Finally, the decision
AI-enabled
AI helps organize, compare, and summarize the information while the employee reviews the output and makes the decisions.
Today
- The meeting happens
- Scribble notes throughout
- Write them up afterward
- Chase down each action item
- Repeat next week
AI-enabled
AI turns the discussion into notes and action items while the employee confirms them and follows up where judgment is needed.
Today
- Numbers sit in five systems
- Export and paste
- Rebuild the same report
- Check the math
- Send it, again next week
AI-enabled
AI pulls the numbers together and drafts the report while the employee checks it and adds the context that matters.
Today
- A raw export lands
- Clean and reformat
- Reconcile what doesn’t match
- Now it’s finally usable
- Decide what it means
AI-enabled
AI handles the cleanup and flags what looks off while the employee decides what the data means.
Today
- The queue fills with questions
- Answer the same ones all day
- The tricky ones wait
- Customers wait with them
- The day ends, the queue refills
AI-enabled
AI handles the routine answers and drafts responses for review while the team gives its time to the customers who need a person.
Today
- Open the first system
- Copy the record
- Paste it into the second
- Check for typos
- Do it all again
AI-enabled
AI moves the information between systems while the employee spot-checks it and handles the exceptions.
The employee isn’t removed from the process. The friction is.
One example, end to end: a medical practice
The front desk, mapped the way we map it in an assessment. The same picture gets drawn for your workflows.
Current state
- A patient calls the front desk
- The phone queue backs up
- Insurance and first-visit questions answered one at a time
- Details typed into the practice system by hand
- Messages taken for the clinical team
- Follow-up calls the next day
- The visit finally gets booked
With the right AI workflow
- A patient asks by phone or on the website
- AI answers the routine questions at once
- Insurance and first-visit details collected as they talk
- The practice system updates itself
- Clinical questions go straight to staff
- Staff reviews and confirms
- The visit is booked in the same conversation
We wrap AI around your process.
Not the other way around.
Click or tap each part to see how it works.
UnderstandSee how the work happens today.
We spend time with the people actually doing the work: the tools they use, the tasks they repeat, where work gets stuck, and where time disappears.
IdentifyFind where AI can actually help.
Not every problem needs AI. We identify the tasks where AI can reduce effort, accelerate work, improve consistency, or make information easier to use.
Assess riskAsk more than “Can AI do this?” We also ask: should it?
The information involved matters. The industry matters. The platform, and how it handles data, matters. We weigh privacy, security, policies, regulatory requirements and human review before recommending an approach.
DesignChoose the right combination of tools.
Divigner is not tied to one platform. A solution may involve Claude, ChatGPT, Microsoft Copilot, Gemini, your existing applications, specialized AI tools, or automation connecting them. The toolkit is built around the work.
EnableTeach people using their actual jobs.
Generic AI training teaches features. Divigner teaches workflows: not “here’s how to use Claude,” but “here’s how to finish the task you do every Friday in a fraction of the time.” Scenarios come from your actual work.
ImproveSee what actually changed.
We measure which workflows people use, where time is saved, where people struggle, and what to address next, so enablement becomes a capability, not a one-time workshop.
One toolkit never fits every business. Your team learns the combination that fits yours.
Claude- Claude Code
- Claude Design
- Claude Cowork
ChatGPT- Codex
Gemini
Microsoft Copilot
ElevenLabs
Make
Zapier
n8n- Hermes
Perplexity
GitHub Copilot
Cursor
Hugging Face
Ollama
Mistral
Notion
All product names and logos belong to their owners; listing them here means your team might learn them, not that those companies endorse Divigner.
What should AI touch?
Not every piece of information belongs in every AI tool.
Click or tap a category to see what we weigh before recommending a tool.
Generally lower sensitivity, but accuracy and appropriate use still matter.
Understand the platform, access controls, data handling, and organizational policies before sharing.
Privacy and data-handling requirements become part of the decision.
Healthcare workflows can introduce HIPAA and other privacy and security considerations. A workflow is never automatically compliant just because AI can technically perform the task.
Confidentiality, privilege, retention, approved systems, and human review may all need to be considered before AI joins the workflow.
AI enablement requires guardrails. We consider the information involved before recommending the technology.
AI without the guesswork
Divigner works across insurance, healthcare, cybersecurity, technology, and regulated environments. The goal isn’t simply AI adoption. It’s responsible adoption that makes your people more capable. Before a workflow goes live, we ask:
- What information will employees give it?
- Where does that information go?
- Who can access it?
- What should remain human-reviewed?
- What organizational or regulatory requirements apply?
- What controls need to exist before the workflow goes live?
Your people + AI
The objective isn’t to replace expertise. It’s to give expertise leverage.
Before AI
- Research
- Open five websites
- Copy information
- Compare manually
- Write summary
- Prepare recommendation
With the right AI workflow
- Research
- AI gathers and organizes information
- Employee validates sources
- AI prepares a structured first draft
- Employee applies experience and judgment
- Recommendation
Same employee. Better process. AI handles more of the effort; your people remain responsible for the work.
Training built around your business
Owner and leadership enablement
Where AI fits, where it doesn’t, and how to make better AI investment decisions.
Team workshops
Hands-on training built around real workflows identified during the assessment.
Role-based training
Different people do different work. Training reflects the people in the room.
AI platform training
When a platform makes sense, we go deeper into Claude, ChatGPT, Microsoft Copilot, Gemini, and specialized tools.
Workflow coaching
People apply what they learned to real work, with guidance, until it feels comfortable.
Learning AI more deeply
Divigner is developing an approximately 40-hour Claude course for Coursera, taking learners beyond basic prompting into real-world use of AI.
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Don’t buy AI first
Show us the work first.
You don’t need to know which AI platform you need, have a strategy figured out, or automate everything. Show us how your team works today, and we’ll handle the rest: the right tools, the right guardrails, and training built on your actual work.
Make your people more capable with AI.
Have a quick video call with Jennifer about this service
Jennifer
AI Training Consultant
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