B One Consulting
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Tech FactoryPillar 03

03of 04 pillars

AI, Agents & Automation.

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.

See our process

What we cover

Four capabilities, one pillar.

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.

The three layers

Agents run the top. Data and operations carry them.

FoundationOperationsApplicationAgentsPipelineData

How we deliver

Three phases, every engagement.

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.

/01

Frame.

Where AI actually pays back, not where the demo dazzles.

What you walk away with

  • Operator interviews
  • Use case shortlist
  • Eval criteria
  • Risk & guardrail map
/02

Evaluate.

Built with evals, not vibes.

What you walk away with

  • Working prototype
  • Eval suite
  • Retrieval pipeline
  • Cost & latency baseline
/03

Adopt.

Owned by operators, maintained past launch day.

What you walk away with

  • Production deploy
  • Operator training
  • Runbook & ownership map
  • Continuous eval loop

Where AI actually pays back, not where the demo dazzles.

What you walk away with

  • Operator interviews
  • Use case shortlist
  • Eval criteria
  • Risk & guardrail map

Built with evals, not vibes.

What you walk away with

  • Working prototype
  • Eval suite
  • Retrieval pipeline
  • Cost & latency baseline

Owned by operators, maintained past launch day.

What you walk away with

  • Production deploy
  • Operator training
  • Runbook & ownership map
  • Continuous eval loop

Frame, Evaluate, Adopt

Tell us the workflow and we will draft the AI that earns operator trust.

Start a brief

Connected pillars

An agent doesn't ship alone. Three pillars carry it.

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

Sharpen the question before we build the agent.

See AI Acceleration

Brief us on
your AI workflow.

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.