Olivier Gomez - OG — Daily no-BS insights on AI & Automation ROI | Trusted by 40K+ business leaders | $100M+ delivered | Fortune 2000 | 3x Founder | Top 50 AI Voice
Daily no-BS insights on AI & Automation ROI | Trusted by 40K+ business leaders | $100M+ delivered | Fortune 2000 | 3x Founder | Top 50 AI Voice
Olivier Gomez - OG ranks #466 of 14,983 LinkedIn creators in Management Consulting, and is a standout voice in France. They have 43.1K followers and published 50 posts in the last 30 days at a 0.1% average engagement rate.
- 43.1K followers
- 50 posts / 30d
- 0.1% avg engagement
- — follower growth / 30d
The roast
Olivier claims he delivers $100M in value, but he spent the last month writing 50 LinkedIn posts just to keep 43,000 people from realizing he’s just a guy in France with a PDF template. If his AI ROI is as invisible as his engagement, no wonder his own company is named after a cry for help.
About Olivier
▶ ABOUTShip AI. Deliver outcomes. Keep control.Most AI initiatives don't fail because of technology.They fail because organizations confuse motion with progress, outsource judgment, and never build internal capability.More tools. More pilots. Still no real impact.I've spent 25 years fixing that.Now running IAC.AI, an outcome-based AI and automation delivery firm.We get paid on results, not decks.My scorecard is simple:• ROI• Time-to-value• Control▶ How I think about AIAI is no longer an experiment. It is becoming an operating capability.Technology only matters when it changes performance and economics.Vendors can accelerate execution.Ownership must stay inside the organization.Sustainable advantage comes from internal capability, not dependency.As AI shifts from tools to infrastructure, execution and ownership define who wins.▶ Who I amCEO, builder, and advisor with 25+ years across digital transformation, AI, and automation.Relevant highlights:• Built one of the largest automation footprints globally at HP and DXC• $100M+ bottom-line impact delivered across complex enterprise environments in 20+ countries• Inventor with multiple patents filed and granted• Advisor, speaker, and entrepreneur active across global executive ecosystems▶ What you will find hereDaily no-BS insights on:• What actually scales in enterprise AI and automation• Why initiatives stall after pilots• How organizations balance speed, control, and capability• Where ROI is real, and where it is mostly theaterLook for the OG Approved stamp.It is my filter for signal over noise.▶ Work with meIf you are exploring, building, or scaling AI and automation in an enterprise context and care about outcomes over activity, there are two ways in:Follow for daily field insights.Or reach out directly if you want to discuss what IAC.AI can deliver for your organization.olivier@iac.ai
Highlights
- Consistent Creator — 50 posts in 30d · top 5%
- Big Audience — 43,065 followers · top 5%
- Top 5% in Management Consulting — Ranked #15 of 411 creators
- Top 5% in France — Ranked #20 of 487 creators
Recent posts
AI is no longer stuck in experimentation. It’s stuck in deployment. Most enterprises already know AI works. The real problem now is operationalizing it fast enough without creating friction, rework, and infrastructure chaos. The companies winning with AI will not be the ones with the best demos. They will be the ones who can move AI into production the fastest. That is the real enterprise AI race now. For those looking to go deeper, Auth0 has published a useful whitepaper on the challenges organizations face when moving AI from prototype to production: https://lnkd.in/e4uzWDsN In partne
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Most companies think AI is a technology challenge. It isn't. It's an ownership challenge. Only 1% of enterprises consider themselves AI mature. Meanwhile, AI is moving from pilot projects to real operations. The winners are not waiting to hire perfect teams. They build internal ownership and bring in external expertise to accelerate execution. You keep control. The right specialists help you move faster. That is the model we see working. If AI skills are slowing down your roadmap, reach out. I'll show you how leading organizations are building AI capability without adding months of re
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𝐓𝐞𝐜𝐡 𝐑𝐞𝐚𝐥𝐢𝐭𝐲: 𝑾𝒉𝒂𝒕 𝑨𝑰 𝒍𝒐𝒐𝒌𝒔 𝒍𝒊𝒌𝒆 🥽 AI is becoming surprisingly practical. One person. A few components. A real-world problem solved. That is the shift. From enterprise AI projects to everyday automation. The best use cases are often the most annoying problems. Credit to GenAI Works #AI #Automation #ComputerVision #Innovation #Technology
7 reactions · 1 comments · 1 reposts