“You can’t credit the architects without looking at what they built. Or what broke.”
This issue of Redeployed is brought to you by Tecla: AI can file the ticket. But someone still has to ask if it’s the right one. As tooling gets more “proactive,” Tecla helps you hire senior nearshore developers who bring context, judgment, and real-time collaboration to the loop. They don’t just move fast. They double-check the machine.
First it wrote code. Then it wrote docs. Now it books your meetings, files your tickets, and suggests your roadmap.
According to Microsoft, this is progress.
Their new report frames AI not as a tool, but as a colleague. A digital partner embedded across the stack. One that shows up in your meetings, drafts your sprint, and nudges your backlog into motion. Not reactive. Proactive.
They call it “AI as a teammate.”
It sounds efficient. And dangerous.
Because real teammates think. They push back. They argue. They explain tradeoffs. They forget nothing. Today’s AI systems do none of that. They hallucinate, forget, and confidently miscategorize. And yet, they are being trusted to participate in team decisions.
This isn’t augmentation anymore. It's a delegation.
And delegation without oversight is where judgment goes to die.
From Copilot to Co-owner
We’ve been moving toward this quietly for years. First, copilots in IDEs. Then agents writing PRs. Now, systems like Semantic Kernel and Copilot Studio are proposing prioritization sequences and recommending roadmap changes.
Atlassian, Notion, Microsoft, they’re all leaning in.
But the deeper this goes, the more brittle the outcomes. Because the work isn’t just about throughput. It’s about discernment.
AI can file a follow-up task. It cannot weigh context across quarters. It can assign a bug. It cannot understand why it matters. And when an AI-written ticket gets pushed to prod without review, the cost is no longer just bad UX. It's a system failure.
The Trust Gap Isn’t Closing
What Microsoft calls partnership, most engineering teams are quietly experiencing erosion.
Erosion of accountability. Of ownership. Of attention.
The tools move fast. The people reviewing them don’t. And so suggestions become defaults. Defaults become deliverables. Deliverables ship.
Until something breaks.
And when it does, who owns it?
Need a Teammate That Actually Thinks?
As AI systems take on more workflow responsibilities, the margin for error shrinks. That’s why some teams are complementing automation with nearshore engineers who can audit the AI’s work, spot bad assumptions, and keep real-world context in the loop.
Tecla helps U.S. companies hire senior-level Latin American engineers who move fast, speak fluent English, and already know how to co-build with AI.
Leadership can talk about “ethical innovation” and “AI fluency,” but that only matters if someone is still thinking critically at the point of execution. The truth is, these systems aren’t peers. They’re interns with a megaphone and no memory.
Where It Starts to Slip
There’s a fine line between empowering teams and outsourcing judgment.
If AI is your teammate now, then leadership means doing what good managers have always done: verify, question, and never confuse speed for wisdom.
Because the real risk isn’t that AI replaces engineers.
It’s that it stops them from thinking like one.
More to come…
Recommended Reads
✔️ Microsoft Teams & AI Collaboration: A New Era of Work — Microsoft Tech Community
✔️ AI Workflow Automation: How It Improves IT and Business Operations — Atlassian Overview
– Gino Ferrand, Founder @ Tecla