# Tamas Hevizi

Tamas Hevizi discusses how businesses can turn AI and intelligent automation into practical results. Hevizi's work includes LinkedIn posts on enterprise automation and AI business outcomes, as well as Digital Value Creation episodes on AI, leadership and technology adoption.

- Profile: https://b2binfluencer.marketing/creators/tamas-hevizi/
- LinkedIn: https://www.linkedin.com/in/tamashevizi
- LinkedIn followers: 6,706
- Topics: artificial-intelligence, leadership
- Based on 13 dated posts, latest 2026-08-19

## Summary

Tamas Hevizi is most useful for connecting enterprise AI and automation claims to practical business outcomes.

- Best for: Enterprise automation, document intelligence, or CIO event campaigns needing a practitioner voice on AI outcomes.
- Not for: Brands seeking independent vendor comparisons, unrestricted editorial control, or broad consumer reach.
- Check first: Confirm Tungsten Automation conflict, episode transcripts, and audience demographics before contacting them.

### Takeaways

- Deployment is not the result; the question is what got better.
- Automation lays the groundwork AI needs.
- AI adoption is a leadership and career problem, not just technology.

## Main ideas

- **Deployment is not the result: ask what got better**: Tamas Hevizi argues that making an AI model work in a demo, a sandbox or a narrow pilot is not the hard part. The hard part is getting AI to change how a business runs. Hevizi wants the questions shifted to whether the process got faster, cost went down, revenue improved, risk decreased, customer or employee experience materially improved, and whether a metric the CEO or CFO already tracks moved. He calls this "Boring AI": not flashy, but producing real results. He also notes that experimentation is not cheap because tokenomics can be punishing, so the scorecard should move from "Did we deploy AI?" to "What got better?"
- **Automation lays the groundwork AI needs**: In a first-person post, Tamas Hevizi walks through the tools they work with and argues that AI value depends on first handling unstructured content and repetitive work. They describe TotalAgility as the engine behind knowledge discovery for AI acting on completely unstructured content, orchestrating AI agents and document intelligence. InvoiceAgility covers accounts payable capture and e-invoicing. RPA removes manual, multi-step tasks and, in their framing, prepares data for AI retrieval systems and vector databases. Power PDF is positioned as an affordable all-in-one document toolkit.
- **The next AI problem is whether documents can be trusted**: At the Gartner CIO Summit in Düsseldorf, Tamas Hevizi moderated a roundtable on making unstructured documents AI-ready and addressed a fast-growing risk: AI-created document fraud across insurance, banking and government. In the generative AI era, they argue, the question is not only how to orchestrate documents but whether they can be trusted. This turns their broader automation message into a verification and risk argument for regulated industries.
- **AI adoption is a leadership and career problem, not just a technology one**: The Digital Value Creation episode “Why Do We Rush to AI” examines the psychological and career forces behind adoption, from the boardroom to the front line. It explores why CEOs feel pressure to lead with AI, why employees see it as a career catalyst, and how workslop, hype cycles and vanishing entry-level jobs are reshaping workplaces. The episode argues that AI is changing not just what people do but why they do it, and closes with a look at leadership and the human role. Tamas Hevizi and their brother and co-host Arpad Hevizi are presented as joint participants in the conversation.
- **Enterprise trust is earned through scale and durability**: Two company anniversary posts argue that trust comes from time-tested performance, scale and results, not a new AI story. Tamas Hevizi cites independent analyst recognition across automation categories and a customer base that skews toward the largest regulated institutions. The companion post counts a footprint in 140-plus countries and 850-plus partners, names the U.S. Government as the largest customer, and attributes long customer relationships to consistent delivery over 40 years. The message: legacy reliability is the platform for AI-era claims.
- **Government-led investment can reshuffle where AI leadership sits**: An episode on LEAP 2024 in Riyadh treats state ambition as a force in AI, not just private-sector competition. The discussion covers Saudi Vision 2030, an expected 15 percent contribution from AI to GDP, government support that drew major cloud and software vendors to announce regional projects, and local startup growth. It also explores the divide between the Global North and Global South in AI and how government-led initiatives reshape the global technology landscape.

## Work to read

- [Boring AI: shift the question from deployment to what got better](https://www.linkedin.com/posts/tamashevizi_ai-pilots-are-everywhere-ai-business-outcomes-activity-7460301612222210049-TOk-)
- [Digital Value Creation, episode DVC108: “Why Do We Rush to AI”](https://www.youtube.com/watch?v=9xj2ADSFfX8)
- [Making unstructured documents AI-ready: a Gartner CIO Summit roundtable](https://www.linkedin.com/posts/tamashevizi_documentintelligence-tungstenautomation-gartner-activity-7475190263469113345-LKDg)
- [The automation suite in plain terms: TotalAgility, InvoiceAgility, RPA and Power PDF](https://www.linkedin.com/posts/tamashevizi_real-transformation-happens-when-critical-activity-7363566673682915331-g5U-)
- [Trust at scale: the 40-year numbers behind the messaging](https://www.linkedin.com/posts/tamashevizi_tungstenturns40-40yearsofinnovation-poweredbylegacy-activity-7394011124825747456-9gUN)

## Brand relationships

- **Tungsten Automation** (employment)
- **Gartner** (mention)

## Partnerships

No sponsorship or paid-partnership offer is documented in the material reviewed for Tamas Hevizi. The available posts and episode notes are company and thought-leadership content tied to Tungsten Automation and the Digital Value Creation podcast, not published media kits, rate cards, or sponsor terms. Posts promote Tungsten's intelligent automation products (TotalAgility, InvoiceAgility, RPA, Power PDF) and cite its customer base. One post records them moderating a Gartner CIO Summit roundtable in Düsseldorf on making unstructured documents AI-ready and on AI-created document fraud. A separate post argues that AI pilots rarely produce business outcomes and calls for a scorecard based on process speed, cost, revenue, risk, and customer or employee experience rather than deployment. The material does not explain how brands can buy placement, sponsorship, or co-marketing. Before pursuing a partnership, ask whether those formats are available and how to inquire.

## Alternatives

- Chuck Robbins: Choose Chuck Robbins when the campaign needs a global technology-provider or CEO-level voice on AI infrastructure, connectivity, cybersecurity, sovereign AI, and multi-market public-sector partnerships—not document-heavy process automation. The posts cover customer, partner, and government meetings in India, Indonesia, and Europe; AI centers of excellence; security operations; and large-scale skills commitments. That suits campaigns focused on enterprise AI adoption across markets, telco and service-provider networks, or public-sector digital programs.
- Arungalai Anbarasu: Choose Arungalai Anbarasu when the campaign targets manufacturing, industrial automation, smart factories, physical AI, or Industry 5.0 and needs a domain-expertise argument. The posts cover a Handelsblatt industrial AI panel and Körber’s Industry 5.0 positioning: resilience, human centricity, sustainability, and the integration of hardware, software, digital, and AI. This is a stronger match when the buyer wants to discuss applying AI to efficiency, productivity, resilience, and plant or process decisions, especially in Europe.
- James Liu, PhD, MBA: Choose James Liu, PhD, MBA when the campaign needs a demand-side growth strategy angle: how an automation company classifies customers, avoids chasing low-value inquiries, builds an ideal customer profile from margin data, and turns a framework into daily sales behavior. The second post extends the discussion to international expansion, especially in the Middle East, covering buyer trust, relationships, and local decision-making. This fits a thought-leadership plan on go-to-market discipline or Gulf market entry.

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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/