Tech FactoryPillar 03
03of 04 pillars
We build AI systems that survive contact with production. Models, agents, automations. Designed for the operators who actually work with them, deployed where the value is real.
What we cover
AI, Agents & Automation is the model-to-operator pillar. Four interlocking capabilities that take an AI bet from demo to something colleagues actually rely on every working day.
01 · Copilots
AI assistants designed into the workflow, not bolted on. We sit with the operators to understand the decision they make, then build the copilot that earns their trust by being right where it matters.
LLMs · UX-for-AI · Trust by design · Operator-led
The three layers
How we deliver
Every AI, Agents & Automation file runs through the same backbone. Frame the bet, evaluate against the operator, adopt with the team. Each phase has a named outcome and a fixed set of artifacts.
Where AI actually pays back, not where the demo dazzles.
What you walk away with
Built with evals, not vibes.
What you walk away with
Owned by operators, maintained past launch day.
What you walk away with
Where AI actually pays back, not where the demo dazzles.
What you walk away with
Built with evals, not vibes.
What you walk away with
Owned by operators, maintained past launch day.
What you walk away with
Frame, Evaluate, Adopt
Where it played out
Connected pillars
AI needs a workflow design, the engineering to deploy it, and the data and cloud to run it cleanly. Same partners, same accountability, no handoff loss.
The other engine · AI ↔ AI
Tell us the decision your operators make, where AI could help, and what would actually earn their trust. We sit with you to design the system that survives production.
