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Multi-Agent Operations Advisory Team

Several specialized agents (research, strategy, marketing, operations) work through a business question in sequence and hand back a short executive brief with a 30-day plan.

AI Automation

The problem

Owners need a structured first pass on questions like 'should we add a service line?' or 'why did bookings drop?' but don't have analysts to do the legwork.

How it works

  1. You submit a question with any context, files or numbers you have.
  2. A research agent gathers facts from your documents and public sources, with links.
  3. Strategy, marketing and operations agents each add their view building on the previous agent's output.
  4. A final agent writes a short brief with options, risks, open questions and a 30-day plan.

What it needs from you

  • A clear question and any internal data you can share
  • Guidance on what sources are allowed
  • A person who treats the output as a draft, not a decision

Why it's built this way

Splitting the work into roles produces more thorough output than one long prompt.

Every claim from research carries a source so it can be checked.

How it stays under control

  • Advisory only; no actions in your systems
  • Sources cited for factual claims
  • Clear 'assumptions' and 'unknowns' sections
  • Usage and cost caps per run

The path to autonomy

This stays advisory. It produces drafts for decision-makers and never takes action on its own.

Start here

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