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Service 03

Intelligent Systems

Focused AI assistants, agentic workflows, and decision-support tools designed around a specific job, real context, and explicit boundaries.

Eidos Sentinel Lab interface showing a proof-stage intelligent-systems research environment.
Proof-stage intelligent-systems research interface

Who it is for

Teams that have a concrete AI use case but need something more useful and controlled than a generic chatbot.

What the work can include

  • Focused AI assistants
  • Retrieval over approved business knowledge
  • Agentic workflows with permissions
  • AI-enhanced internal tools
  • Evaluation, guardrails, and human review

Common friction

  • A generic chatbot does not understand our actual process.
  • People spend too much time finding the right information.
  • We want AI to take specific actions, but only under defined rules.
  • We have data, but the useful patterns are hard to see.
  • We need assistance without turning over control.

Constraints considered

Data sensitivity, source quality, model limitations, permissions, cost, latency, hallucination risk, auditability, human oversight, and what the system must never be allowed to change on its own.

Evidence at handoff

Defined use cases, permission boundaries, representative evaluations, source and provenance behavior where applicable, known limitations, fallback states, and a clear human-control model.

Starting point

What should AI help with — and what should it never control?

Bring the task, the information involved, and the boundary. We’ll help determine whether AI belongs in the workflow at all and what a useful implementation would need.

A little studio intelligence

Hello. I’m Eidos.

Ask about the work, your next website, or where an idea could go. I start with the studio’s published information.

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