About

Steered AI agents for modern companies

Steered.AI exists to help companies merge with AI in a practical way. Not generic chat. Not one-size-fits-all automation. We build industry-trained agents and then steer them to each client’s company so the AI behaves like a reliable employee.

Vision

A world where every serious business has an AI workforce that understands its industry, speaks in its voice, and executes work with accountability.

Mission

Build and deploy steered AI agents that deliver measurable operational leverage, reduce friction, and turn intent into execution across marketing, operations, and customer workflows.

What makes us different
  • Industry foundation first, then company steering
  • Execution-focused agents with approvals, auditing, and reporting
  • Token-based billing with weekly invoicing and transparency
Industry packs

We design industry-specific knowledge and workflows so agents understand the language, structure, and compliance patterns of the field.

Company steering

We steer agents using your approved knowledge: policies, terminology, brand voice, operating rules, and internal playbooks.

Autopilot execution

Agents run real work. They coordinate steps, produce deliverables, and keep a complete trail of actions and outputs.

Technology

Steered.AI is built on modern foundation models combined with orchestration, retrieval, and integration layers that turn a model into a dependable agent.

  • Tool orchestration for multi-step task execution
  • Knowledge retrieval for company context and controlled reuse
  • Approval gates, policies, and audit trails for accountability
  • Security-first design and data minimization principles
How onboarding works

Partner onboarding is designed to produce a high-performing agent quickly while keeping control in your hands.

  1. 1We understand your goals, workflows, and constraints.
  2. 2We steer an agent to your company knowledge, policies, and voice.
  3. 3We configure approvals, reporting, and integrations.
  4. 4You start running work, and the agent improves as you approve more context.