Why Every Engineering Company Needs to Test AI Platforms Now
- Patrick Law
- Jul 7
- 2 min read
If you're leading an engineering team and still unsure how to bring AI into your workflow—you might be behind. The big decision isn't whether to use AI. It's which platform to build around.
Why This Matters Now: Fortune 500 firms aren’t hesitating. The majority are adopting Microsoft Copilot to speed up decision-making, documentation, and calculations. And with Google’s Gemini and OpenAI’s platform offering their own edge, engineering companies can’t afford to sit on the sidelines.
3 Main Options and the Case for Each
🔹 Microsoft Copilot Fully integrated into Teams, Outlook, Excel—great for enterprises that already run on Microsoft tools.
🔹 Google Gemini Strong for research, multilingual models, and integrated with Google Workspace.
🔹 OpenAI (ChatGPT) Flexible, developer-friendly, and often ahead in raw LLM capability. Best for early adopters who want to experiment deeply.
Rather than committing to one, start by testing:
Try Microsoft Copilot for 30 days.
Then test Google Gemini for 30 days.
Finally, trial ChatGPT Pro or API for a month.
Use 2–3 licenses only. Select one team or department.
Migrate successful workflows outward from there.
This month-by-month rotation helps you avoid vendor lock-in—and more importantly, shows you what actually works in your use cases: piping calcs, cost estimation, or drawing documentation.
Build a Mesh
Ultimately, it’s not about picking a “winner.” The smart move is building a mesh—a workflow where any LLM can plug in. That way, your engineers can use the best model for the task, and switch easily if something better comes along.
Stop guessing. Start testing. One trial month could unlock 10X productivity across your team.
📌 Want a ready-to-use prompt library for engineering use cases?
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