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Webinar · · 68 min

From personal AI use to organizational AI

Whether to use AI is no longer the question. The question is how to do it right: organized and secure. We covered the three conditions for success, security, organizational change and technology, and showed four real examples from nonprofits and companies already working this way.

In Hebrew · Playing loads content from YouTube
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All 33 slides from the webinar

The webinar is in Hebrew. All data shown in the demos is dummy data.

What we covered

  • AI only on an approved organizational account

    An organizational account lets you control permissions, keep your data out of model training and keep knowledge in-house when someone leaves. It is the baseline, but on its own it does not guarantee your data is protected.

  • Tools need rules

    Which tools are allowed, what data may go in, how a new tool gets approved and what to do when someone slips. On top of the policy, a monitoring layer that catches sensitive data before it leaves.

  • People first, then technology

    Ella from Element walked through the three fears employees have about AI and two tools you can use right away: a team task map (only me, AI helps me, not sure yet) and leadership openly reviewing what worked for them and what did not.

  • Start with one process, not a tool

    List 3 to 5 processes that repeat every week, check each one, and pick a single process for a pilot with an owner and a success metric.

The four demos

  1. 01 · monday.com, meeting transcription and an agent

    Team management cockpit

    A team lead sees the whole team in one place: red flags and opportunities from meeting analysis, overdue tasks, and an agent's morning report on what needs attention today.

  2. 02 · Salesforce LWC

    Screens that fit the process

    Friendly work screens inside Salesforce, built with AI: challenge mapping and work plans for schools, and a scoring rubric for grant applications. Work that used to need costly development.

  3. 03 · Salesforce, Claude and MCP

    Answers from your own data

    Plain-language questions on Salesforce data: donors at risk of not renewing, a personal email draft, an interactive dashboard and record updates straight from the chat, all within each user's permissions.

  4. 04 · monday.com

    Agents that run processes

    An HR assistant that reads CVs, checks them against the role's requirements, flags red flags and answers in plain language. It advises and never decides, and an automation opens the onboarding process.

Presenters

  • Asaf

    CEO, CloudX

  • Roni

    Head of Nonprofits, CloudX

  • Vered

    Innovation and Business Delivery Lead, CloudX

  • Bar

    Project Manager and monday.com Lead, CloudX

  • Ella

    Organizational Consultant, Element