AI agent · Multi-agent

A team of specialized agents that runs an entire process under your supervision

Some processes are long and complex, cross several specialties, and need review before delivery. One agent isn't enough. A multi-agent system works like a team: each agent has a role, a coordinator assigns the work, a reviewer checks it, and you supervise.

  • Working prototype in two weeks
  • Runs inside the Kingdom
  • Sensitive decisions stay with your team
Agent team · TenderProcess
Multi-agent · Illustrative example
01

How the team works

Coordinator agent

receives the goal, breaks it down and assigns tasks.

Specialist agents

research, writing, analysis and execution, each with its own tools and permissions.

Reviewer agent

checks quality before anything reaches you.

Monitoring dashboard

see who is doing what, and where the human approval points are.

02

End-to-end examples

  • Insurance claims: claim received → documents checked → assessment → proposed decision → staff approval.
  • Tender cycle: tender spotted → specifications analyzed → technical proposal prepared → review.
  • Responding to RFPs: request read → content gathered from your documents → response written → review.
  • Marketing campaign: research → copywriting → design concepts → brand review.
03

Technology

LangGraph, CrewAI and agent SDKs, with the Model Context Protocol (MCP) to connect agents to your systems, or custom orchestration we build from scratch.

LangGraphCrewAIandagent SDKswiththe Model Context ProtocolMCPtoconnectagentsyoursystemsorcustomorchestrationwebuildfromscratch.
04

How we build it

  1. 01

    We map the process

    and define the roles.

  2. 02

    We build each agent

    and test it on its own.

  3. 03

    We connect them to the coordinator

    and set the human approval points.

  4. 04

    A working prototype within two weeks

    for part of the process.

  5. 05

    Gradual expansion

    to the full process.

05

What we measure

01Full cycle time
02Completion rate without intervention
03Output quality after review
06

FAQ

01When do I need a multi-agent system instead of a single agent?

When the process is long, requires different specialties, or needs independent review before delivery. For simple tasks, a single agent is enough and costs less.

02How do I monitor decisions?

The monitoring dashboard shows every step and every decision, and important decisions are never executed without your approval.

03Does it cost more?

Usually, yes, because several agents are working. But it suits processes that are already expensive to run manually. We set out the comparison in the quote.

Start now

Have a process that passes through several departments?

Tell us about it, and we'll design the right team for it.

  • A tailored quote, no fixed packages
  • No commitment until you agree
  • A year of support after delivery
Email info@zizled.saPhone 053 400 0885Al Fadil, Jeddah
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