# Michael Dvorscak

Michael Dvorscak shares practical guidance on using AI to improve business processes, with an emphasis on data security and governance. Dvorscak's posts cover small-business workflows, Microsoft Copilot, process improvement, and cybersecurity.

- Profile: https://b2binfluencer.marketing/creators/michael-dvorscak/
- LinkedIn: https://www.linkedin.com/in/michaeldvorscak
- LinkedIn followers: 1,927
- Topics: artificial-intelligence, cybersecurity, ai-governance, ai-adoption, property-management
- Based on 24 dated posts, latest 2026-09-25

## Summary

They are most useful for practical AI governance, data security and process improvement guidance for business operations.

- Best for: A B2B SaaS webinar or co-marketing on AI governance for mid-market operations teams.
- Not for: A consumer campaign needing broad reach, on-camera video and a large consumer audience.
- Check first: Ask for audience demographics, post performance and event attendance data before contacting.

### Takeaways

- They warn employees may put sensitive information into unapproved AI tools.
- They advise approved tool list, plain-language rules and audits of actual use.
- They say Microsoft 365 permissions and data hygiene should precede Copilot deployment.

## Main ideas

- **Govern AI use instead of trying to ban it**: Dvorscak argues that employees will use AI when it helps them work faster, whether or not an organization has approved the tools. A ban can push that use out of sight; clear rules and oversight make adoption more manageable. They recommend an approved tool list, a plain-language use policy, and audits of actual usage.
- **Secure the data foundation before deploying AI**: Dvorscak treats access controls and data quality as prerequisites for AI tools that draw on company information: an assistant should not expose information a user is not allowed to see. Governance is part of deployment, not a clean-up step afterward.
- **Start with a business problem, not complex automation**: Dvorscak argues that many businesses have disorganized data, duplicate systems, or tools that are not ready for complex integrations. Elaborate automation built on that base can create troubleshooting rather than value. They recommend mapping manual work, teaching teams to use tools they already have, and addressing one concrete bottleneck first.
- **Choose a tool sized to the job**: Dvorscak pushes back on the assumption that a larger platform or more powerful model is automatically better. A small, temporary tool may fit a limited project better than an enterprise system, while a basic question may not need an advanced AI model. This extends their preference for solving the actual bottleneck before adding complexity.
- **Use AI to clear routine work while keeping human judgment**: For solo operators and small businesses, Dvorscak presents AI as a way to reduce repetitive work rather than replace the owner's judgment. The examples focus on adapting existing material, finding patterns in feedback, and making routine business information easier to use.
- **Improve the process before automating it**: Dvorscak applies process-improvement thinking to AI: understand where time and effort are being lost, then use data or tools to address the cause. The examples connect operational methods to specific work rather than presenting AI as a solution on its own.

## Work to read

- [Shadow AI is a governance problem](https://www.linkedin.com/posts/michaeldvorscak_shadowai-aigovernance-grc-activity-7488571644995870720-HMUD)
- [Secure the data foundation before deploying Copilot](https://www.linkedin.com/posts/michaeldvorscak_aistrategy-microsoft365-datagovernance-activity-7459946743208570880-r-js)
- [Start AI consulting with the business bottleneck](https://www.linkedin.com/posts/michaeldvorscak_aiconsulting-businessprocesses-operationalefficiency-activity-7461883441857527809-Jakb)
- [A small tool can beat an enterprise platform](https://www.linkedin.com/posts/michaeldvorscak_processimprovement-ai-productivity-activity-7502720188212101120-R1F0)

## Brand relationships

- **Friedman Real Estate** (employment)
- **Bosch USA** (employment)
- **Job Jamz** (disclosed_partnership)
- **Claude** (mention)
- **Microsoft** (mention)

## Partnerships

The posts do not show a published sponsorship program, rate card, brand-partner roster, or partnership inquiry form. Michael Dvorscak presents himself as an independent AI-process and governance practitioner. Their commercial invitations include requests for organizations to contact them about mastering Microsoft Copilot or levelling up their AI use, plus educational products such as “30 Days of Claude” and Job Jamz tracks. For a B2B SaaS buyer planning a webinar or co-marketing campaign, treat a partnership as a custom, direct conversation rather than a packaged sponsorship. Dvorscak’s public positioning is governance-first: they argue that adoption without a security posture is exposure, and that approved-tool lists, plain-language acceptable-use policies, and usage audits matter more than banning AI. Any sponsored collaboration would need to respect that frame and avoid presenting unverified commercial features as available. Ask directly about sponsorship formats and availability.

## Alternatives

- Devin Bhushan: For the same practical AI-governance webinar, consider Devin if the audience is specifically manufacturing leaders seeking examples of AI applied to factory processes. One post describes using AI for time-and-motion studies and locating operational waste; another frames a hiring need around connecting factory improvement expertise with AI builders. That gives a manufacturing-focused session more concrete shop-floor material than Michael’s broader guidance on approved tools, policies, and usage audits.
- Paul D'Souza: Consider Paul if the buyer wants the webinar to center on agentic AI, Lean Six Sigma, and testing workflows in a digital twin before live deployment. Paul’s post lays out a sequence from process mapping to simulation and ongoing monitoring, which could suit an operations audience already evaluating autonomous agents.
- Chris Wicker, MBA: Consider Chris if the buyer wants a webinar built around diagnosing accounts-payable problems in property management or hospitality. One post uses nine diagnostic questions about invoice intake, manual entry, approvals, duplicate payments, and exceptions; another connects AP friction to margin, staffing, and financial visibility. That gives a host a specific operational process to examine with attendees.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/