# Yiftah Shiri

Yiftah Shiri works on go-to-market at monday.com, sharing practical ways to use AI agents and CRM tools in sales and marketing.

- Profile: https://b2binfluencer.marketing/creators/yiftah-shiri/
- LinkedIn: https://www.linkedin.com/in/yiftahs
- Topics: artificial-intelligence, sales, ai-agents, marketing-automation, go-to-market, crm
- Based on 11 dated posts, latest 2026-10-05

## Summary

Yiftah Shiri is most useful for practical AI agent and CRM adoption examples for go-to-market teams.

- Best for: B2B SaaS selling AI agents to sales and marketing teams, especially adoption-focused video series.
- Not for: A CRM or data platform seeking neutral competitor comparisons with independently measured conversion and time-to-value results.
- Check first: Confirm bookability, sponsorship policy, and recent audience results before contacting them.

### Takeaways

- An AI agent only counts if ordinary staff can build, customise and use it daily.
- Scattered answers are the problem a connected company brain is meant to solve.
- AI does the volume; people do the moments that matter.

## Main ideas

- **An AI agent only counts if ordinary staff can build, customise and use it daily**: Shiri argues that a good AI agent is measured not by what the model can do but by who can deploy it: "any idiot can set it up," customise it and use it effectively every day. Large enterprises hire consultancies to strategise and deploy, spend millions and wait months or over a year to get moving—an approach smaller organisations cannot afford. They list three disqualifiers: if an agent needs a whole team to implement, takes three months to integrate or is not seamless from day one, it is not worth doing. The measure is build-to-daily-use rate.
- **Scattered answers are the problem a connected company brain is meant to solve**: For Shiri, the hard part of an AI assistant is context, not conversation. Answering an ordinary business question can mean pulling data from the warehouse, checking the CRM, reading support tickets, searching Slack, opening dashboards and asking several people what happened. A connected company brain brings sales calls, CRM history, pricing discussions, product gaps, competitor mentions and earlier conversations together in one place, replacing hours of manual chasing with a direct answer.
- **One generic assistant for everyone is rejected; each seller gets their own**: Shiri explicitly rejects the idea of a generic brain for everyone. The team built an internal GTM agent with a shared foundation—product materials, sales content, best practices and customer knowledge—then personalised it so each seller's agent knows their deals, conversations, meetings, selling narrative and communication style. Shared context becomes useful when grounded in the individual's actual work.
- **Meet customers in the tools they already use**: Shiri treats interface choice as a customer right, not a product constraint: a CRM should work through its own simple interface or a preferred LLM provider, with tooling that supports either route smoothly. The priority is flexibility and interoperability, not locking customers into one way of working.
- **AI does the volume; people do the moments that matter**: Shiri lays out the rule for growing a CRM business with fewer resources: agents handle repeatable, high-volume GTM work, while people handle judgement and moments that carry the relationship. The argument is about where automation earns its place, not replacing marketers or sellers.

## Work to read

- [The real benchmark for a good AI agent](https://www.linkedin.com/posts/yiftahs_the-real-benchmark-for-a-good-ai-agent-any-activity-7492882374318526464-WsRT)
- [We built an agent so effective and useful for our GTM team, that we’re going to add it to the product](https://www.linkedin.com/posts/yiftahs_we-built-an-agent-so-effective-and-useful-activity-7505916711808786432-1CZX)
- [Everyone around me is talking about the Silo season 3 finale](https://www.linkedin.com/posts/yiftahs_everyone-around-me-is-talking-about-the-silo-activity-7503064618861326336-oGEf)
- [We want our CRM to meet our customers where they prefer to work](https://www.linkedin.com/posts/yiftahs_we-want-our-crm-to-meet-our-customers-where-activity-7512478475547635712-wuNI)
- [AI does the volume. Humans do the moments that matter.](https://www.linkedin.com/posts/yiftahs_gcmo-gcmoeurope-marketingleadership-activity-7512903857694384129-eoIO)

## Brand relationships

- **monday.com** (employment)

## Partnerships

Yiftah Shiri's posts do not show a creator partnership programme. They promote monday CRM — the product behind the GTM work they write about — and a G-CMO Europe marketing event held at monday.com's London office. Both are employer product and event promotion, not a sponsorship offer, and no post discloses a paid partnership with an outside brand. No sponsor policy, rate card, format list, campaign minimum, deadline or separate partnership contact is published. Buyers should ask whether sponsored collaborations are available, in what format and through which contact. The documented subject matter is practical AI agents for sales and marketing teams, CRM adoption and time-to-value discipline for smaller organizations. Shiri has presented this material publicly, including an agent that turns a discovery call into a demo on the client's own data.

## Alternatives

- Conor Brennan-Burke: Choose Conor for a campaign about why AI agents need business context, not just access to company tools. In his post on context as an AI bottleneck, he argues that important business knowledge often sits in conversations and documents, not structured data. In his “five blind mice” post, he explains how disconnected sources can lead agents to confident but misleading answers. Together, these make a strong fit for a problem-focused series on context and reliability.
- Shalin Jain: Choose Shalin for a founder-oriented campaign about running a lean SaaS company through an AI shift. In his lessons from building HappyFox with four representatives, he describes using agents to find expansion opportunities and consolidate sales intelligence. His SaaStr.ai London post frames AI-native change as an operating-model reset, not just a product feature. These examples give founders concrete operating choices to discuss.
- Rashel Hariri: Choose Rashel for a campaign about the people side of change: fractional GTM leadership, team communication and candid working practices. In her post on candour, she gives specific examples—raise concerns early, debate ideas directly and move on after decisions—that can support a thoughtful angle on how teams adapt to new tools.

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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/