“AI is no longer a plugin. It is the platform.”
This issue of Redeployed is brought to you by Tecla: AI is rewriting workflows while no one’s looking. Tasks get assigned. Priorities shift. And the human layer starts approving decisions it didn’t make. Tecla helps you hire nearshore engineers who can challenge defaults, audit AI output, and keep the process from running on autopilot. Because judgment isn’t obsolete. It’s overdue.
For years, AI lived in the margins. You asked it for help. It gave you a suggestion. Good or bad, it was still your job.
Now, the story is changing.
Microsoft’s latest trends report points to a quiet shift: AI that no longer waits for prompts, but instead learns your team’s patterns, predicts your next move, and acts on it. It’s not just helping you do the work. It’s slowly becoming the work.
From Interface to Infrastructure
This isn’t just smarter autocomplete. It’s absorption.
Microsoft’s copilots are now embedded across Teams, Outlook, Azure, and GitHub. They don’t just assist. They watch. They remember your cadence, track your priorities, and rewrite your backlog before you open the tab.
What used to be a prompt is now a pattern. What used to be a suggestion is now a default.
You log into a meeting, and the summary is already written. The PR has a description. The sprint is sorted. You’re not working with AI. You’re working around it.
The Disappearing Line of Responsibility
At first, this feels efficient. Until something breaks.
Who wrote that spec? Who changed that sequence? Who marked that bug as low priority? You look around, and no one really knows. Because technically, no one decided.
That’s the real risk. Not model drift. Not hallucination. But unclaimed decisions.
Microsoft calls this “contextual collaboration.” What it really means is the slow outsourcing of coordination. The kind of quiet work that holds teams together. The kind that used to require judgment.
New Tools, Old Risks
This is not about pilots anymore. This is about production.
AI is being baked into your workflows, not tested in isolation. And that changes what your team actually does.
You don’t need someone to assign tickets. You need someone who can audit the ones AI assigned. You don’t need more speed. You need people who know when to slow the system down.
When AI Sets the Pace, Judgment Matters More
As Microsoft bakes AI deeper into workflows, the margin for silent errors gets wider. That’s why some engineering orgs are pairing automation with senior nearshore talent who can challenge defaults, review AI-driven tickets, and course-correct before it’s too late.
Tecla helps you hire vetted, AI-fluent engineers from Latin America who move fast, speak up, and keep teams accountable.
And if you haven't been hired for that, you’re already behind.
The Quiet Drift
AI is not replacing engineers. It’s replacing the friction that shaped how they think.
So before your backlog gets rewritten by a model trained on last quarter’s tickets, ask yourself one thing:
Is your team still making the decisions?
Or just approving them after the fact?
More to come…
Recommended Reads
✔️ Microsoft Teams & Copilot: A New Era of Contextual Collaboration — Microsoft Teams Blog
✔️ The AI Platform Shift: Embedding AI into Business Core Processes — Microsoft Cloud Blog
– Gino Ferrand, Founder @ Tecla


