Reckap IT Solutions and Services

AI agents

Multi-agent systems

Split work only when a single agent is not enough.

ops.reckap.com/ai/agents/multi

Multi-agent

Role AShareSupervise

Only when split earns it.

Hand-offs between agents with shared state and a supervisor path - only when complexity earns it.

Split work only when a single agent is not enough.

Problems we hear, outcomes we ship

Buyer problems

  • Multi-agent is chosen for novelty, not for a real split of labor.
  • Shared state is unclear, so agents fight or drop context.

Outcomes

  • Role map and shared state rules.
  • Supervisor path and failure budget.

What is included

  • Role map
  • Shared state
  • Supervisor rules
  • Failure budget

How this work is shaped

Same desk language as the parent lane - scoped to this package.

ops.reckap.com/ai/agents/multi

Multi-agent

Role AShareSupervise

Only when split earns it.

How we deliver

Click a step - the desk below updates. That panel is a preview, not another step.

Step preview

01, Prove split

ops.reckap.com/ai/discover

Discover, job map

Reckap AI desk
JobData sourceRisk line
Ticket triageHelpdesk APINo auto-close
Lead qualifyCRM + site chatHuman closes
Doc Q&AAllowlisted PDFsCite or escalate

Pilot pick: one job with a named owner and a fail check.

Prove split - Why one agent is not enough.

More in this lane

Other packages under AI agents.

FAQ

Next step

Ready to talk scope?

Bring the job, the systems you already run, and who owns the handoff. We write the rest.