# Max Votek

Max Votek writes about applying AI agents and enterprise software to business operations, including process redesign, implementation, and adoption.

- Profile: https://b2binfluencer.marketing/creators/max-votek/
- LinkedIn: https://www.linkedin.com/in/max-votek
- LinkedIn followers: 3,857
- Topics: artificial-intelligence, ai-agents, enterprise-ai
- Based on 37 dated posts, latest 2026-09-30

## Summary

Most useful for practical analysis of deploying AI agents and enterprise software inside B2B organizations.

- Best for: B2B SaaS or enterprise software brand seeking a speaker or content partner on AI agents.
- Not for: Consumer brand seeking short-form video creator or paid social lifestyle sponsor.
- Check first: Confirm availability, deliverables, disclosure, and pricing through Customertimes before promising a campaign.

### Takeaways

- AI speeds up tasks, but organizations must redesign the work.
- When one part of a project gets faster, the bottleneck moves.
- Grounding a language model in an ontology cut hallucinations from 63% to 1.7%.

## Main ideas

- **AI speeds up tasks; organizations must redesign the work**: Individual productivity does not automatically produce company-wide results. Votek argues that disconnected tools and workflows leave gains stranded, so businesses need coordinated processes, clear checkpoints, and outcome measures.
- **When one part of a project gets faster, the bottleneck moves**: Faster coding does not remove delays in legal review, data access, communications, or adoption. Votek sees people who can connect business teams and technology as essential while tools and models keep changing.
- **Enterprise AI needs business context and guardrails**: Votek argues that reliable systems depend on defined data, permissions, rules, and domain knowledge—not just better prompts or models. This is especially important in regulated or mission-critical work.
- **AI shifts value from tools toward delivered outcomes**: Votek questions whether software subscriptions and consulting hours remain defensible when AI can build tools or perform work. They expect value to favor tailored systems and providers accountable for results, while recognizing that complex SaaS can remain essential.

## Work to read

- [Scoring 22 software companies on their readiness for AI agents](https://www.linkedin.com/posts/max-votek_agentreadinessmaxvotek-activity-7429555265898917888-0pdh)
- [Grounding a language model in an ontology: hallucinations fall from 63% to 1.7%](https://www.linkedin.com/posts/max-votek_your-ai-system-is-confidently-wrong-everyone-activity-7438250645155033088-Ps8N)
- [Why forward-deployed engineers outlast the tools that made them fast](https://www.linkedin.com/posts/max-votek_openai-and-anthropic-are-building-forward-activity-7467965112180576256-Hb8A)
- [Building a personal CRM with Claude Code: 20 hours versus a $66,400 estimate](https://www.linkedin.com/posts/max-votek_crm-activity-7441869749464084480-Fkt2)
- [Individuals are 10x faster; companies are not delivering 10x results](https://www.linkedin.com/posts/max-votek_individuals-are-at-10x-productivity-companies-activity-7440128530706997248-z0y9)
- [Microsoft raised close rates 20% after the license rollout stalled](https://www.linkedin.com/posts/max-votek_microsoft-raised-close-rates-20-with-ai-activity-7508559689345826818-m4cD)
- [AI labs partner with private equity to bypass the consulting middleman](https://www.linkedin.com/posts/max-votek_the-biggest-threat-to-consulting-in-2026-activity-7457859738454683648-vQYH)

## Brand relationships

- **Customertimes** (disclosed_partnership)
- **Salesforce** (client)

## Partnerships

No sponsorship offer, pricing, or sponsorship examples appear in Max Votek’s posts. All come from a single LinkedIn account and read as a working practitioner’s commentary rather than a commercial channel. They describe work through Customertimes, including client implementations, agent-readiness scoring, and internal training programs; none carry sponsorship disclosures, partner tags, or a published format menu. The sole event-related item welcomes a keynote speaker to Innovation Day Milwaukee, showing that they program and host industry events, but not that a sellable sponsorship product exists. Treat any partnership as a direct, negotiated arrangement confirmed in writing. Before planning, ask about availability, deliverables, disclosure language, and pricing; don’t assume a webinar slot, keynote, or sponsored-post product exists until they or an employer confirms it. The posts attribute client work and training to Customertimes, so ask whether a commercial conversation would run through the firm or Votek personally.

## Alternatives

- Juan Jaysingh: Choose Juan Jaysingh for a campaign about making enterprise decisions consistent across AI agents and customer channels. In his CRM decision-orchestration post, a refund request could get different answers from chat, voice and text unless the business rules sit in a shared decision layer. His Claudeforce analysis adds a useful distinction: permissions govern what an agent may access, while procedures govern how it should act—and procedures need enforcement to be dependable. That makes Jaysingh a strong fit for a technical session on CRM architecture and operational guardrails. Compared with Max Votek’s broader cross-vendor readiness and implementation themes, Jaysingh offers a more focused argument about decision consistency and control.
- Tom Ryan: Choose Tom Ryan when the campaign needs a practical counterpoint to enthusiasm about new AI integrations, especially for marketing-operations teams. In his Claudeforce critique, he raises concrete adoption questions: whether an AI assistant can navigate Salesforce’s different data models, how data residency affects EU organizations, and whether combined product and usage costs make the return clear. The post also stresses that an integration will not repair poor underlying data. That makes Ryan a useful voice for a risk-focused panel or a discussion of readiness before adoption. Votek offers more cross-industry frameworks and implementation examples; Ryan’s advantage is a customer-side critique grounded in Salesforce and HubSpot marketing operations.
- Mark Bidgood: Choose Mark Bidgood when the audience works in consumer goods and needs to address data quality and shared definitions before deploying AI. In his post on product definitions in CPG, he shows how marketing, supply chain, finance and retail partners can use different definitions of product, customer and margin. An agent can then scale that disagreement into unreliable forecasts or trade-spend decisions. His post on trusted data and agents sharpens the point: connecting systems is not enough if the business has not agreed on what its data means. This is a valuable governance perspective for a CPG-focused campaign; Votek is the broader fit for a session comparing enterprise platforms or implementation approaches.

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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/