Consulting & advisory
Working sessions with your operators and leadership to find where automation earns its keep — and where it doesn’t, yet. A concept of operations is the deliverable, not a slide deck.
Tensor Automations — AI operations partner
Scale your team’s judgment — not its headcount.
We build the simulations, internal tooling, and playbooks that let lean teams run like much larger ones — for operations where the rulebook, the regulator, or the customer doesn’t accept “the AI did it.”
Built for operations where the FAA, the auditor, or your own ops manual gets the final word.
Service lines
Four ways we plug into your operation
Engagements can start anywhere on this list — most end up touching all four.
Simulation & tooling SaaS
Internal simulators and copilots trained on your workflows and your edge cases — built to be run by your team, not handed off as a black box.
Training & playbooks
Your best operator’s judgment, written down. We turn tribal knowledge into onboarding material that holds up when that person is on vacation.
Thought leadership
Plain-language briefings on what’s actually changing in AI — written for people who have to make a call on it, not just read about it.
Method
The Wetware Scale model
“Wetware” is the part of the system that doesn’t run on electricity — your people. Every engagement is built to make that part faster and more confident, not replace it. We move through three phases, each sized to prove itself before the next begins.
01
Assess (CONOP)
We spend time with your team to map the current operation and draft a concept of operations: what’s in scope for automation, what stays human-only, and how we’ll know it’s working.
02
Pilot
A contained pilot runs alongside your existing process, with success criteria agreed before it starts. Nothing goes live until it’s earned the right to.
03
Scale
Once the pilot proves out, we extend it across the team — with the tooling, training, and playbooks to make the change stick.
Assess~20%
Pilot~55%
Scale~100%
Illustrative share of an operation handed to automated tooling at each phase. The actual split is set per engagement — and capped wherever oversight needs a human in the loop.
Insights
From the Tensor Automations desk
Plain-language briefings on AI in regulated operations. First ones landing soon — get notified when they’re up.
What “AI-ready” actually means for a regulated ops team
A working definition that goes past the buzzword, with a short checklist you can run against your own operation.
Where simulation beats a pilot program
When testing in a sandbox tells you more, faster, than putting something in front of real operators too early.
The questions to ask before an agent touches production
A short list of questions worth answering before any AI system gets write access to something that matters.