One agent carries conflicting roles
MULTI-AGENT / ZIBATIS CAPABILITY
Multi-agent system design
We coordinate specialised agents through an orchestrator, data contracts and stop rules in one governed workflow.
SignalIntelligenceAction
01 / DIAGNOSIS
When this matters
The workflow needs several specialisms
Independent quality control is required
02 / DELIVERABLES
What you receive
Role and orchestration map
Message and memory contract
End-to-end tests and observability
03 / MEASUREMENT
How success is measured
01Agent collaboration quality
02Cost per workflow
03Correct stop and escalation rate
04 / PARENT SYSTEM
Parent system / 02Related systems
AI Agents & Custom GPT Systems
We turn business knowledge and rules into governed assistants and agents.
- Outcome
- Accessible knowledge and faster execution
05 / CAPABILITY CLUSTER
Capabilities in this system
01 / CUSTOM GPT
Custom GPT product design
We design a role-specific GPT with verified knowledge, a defined interaction experience and explicit evaluation scenarios.
Explore capability ↗02 / AGENT DESIGNBusiness AI agent design
We design an intelligent agent with a clear task, tools, memory, authority level and human handoff.
Explore capability ↗03 / AGENT INTEGRATIONAI agent integration for web, CRM and APIs
We connect agents to real tools with least-privilege access so every action is logged and reversible.
Explore capability ↗04 / AI GOVERNANCEAI agent guardrails, evaluation and governance
We define knowledge, access, action, privacy and human-escalation boundaries before an agent is scaled.
Explore capability ↗