AI for Non-Technical Leaders: What You Need to Know (Without the Jargon)
Event PAST

AI for Non-Technical Leaders: What You Need to Know (Without the Jargon)

11 January Online

About this event

Your CEO just asked you to "come up with an AI strategy."

Your tech team keeps talking about LLMs, RAG, fine-tuning, and agents.
Vendors are promising to "transform your business with AI."

And you're nodding along, hoping nobody asks you a follow-up question.
This session is for you.

No code. No jargon. Just what business leaders need to understand to make good AI decisions—explained by someone who's spent 15 years translating between technical teams and executive boards.

What We'll Cover:

• What AI can actually do today (vs what's still science fiction)
• The questions to ask your tech team (and how to interpret the answers)
• Build vs buy: When to use off-the-shelf vs custom AI
• The real costs of AI (it's not just licensing fees)
• Risk and governance: What keeps your legal team up at night
• How to spot vendors overselling capabilities
You'll Learn:

• A mental model for understanding AI capabilities without technical depth
• The 7 questions every leader should ask before approving AI investments

• How to evaluate AI ROI claims (most are inflated—here's how to check)
• What your competitors are actually doing with AI (not what they're announcing)
• How to build AI fluency in your team without becoming a data scientist

This Session Is For:

• Directors, VPs, and C-suite without technical backgrounds
• Department heads responsible for AI adoption in their teams
• Project managers overseeing AI initiatives
• Business analysts bridging tech and business
• Anyone who's been told to "figure out AI" without a technical roadmap
This Session Is NOT For:

• People who want to learn to code or build AI models
• Technical practitioners looking for architecture deep-dives
• Those expecting vendor demos or product pitches
What You'll Leave With:

• A framework for evaluating AI opportunities
• A checklist of questions for your next AI vendor meeting
• Confidence to participate meaningfully in AI strategy discussions
• A community of peers navigating the same challenges

About the Session:

This is executive education, not a tech tutorial. We'll use plain English, real examples, and honest assessments of what works and what doesn't.
Bring your questions. Leave with clarity.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.