Agentic Orchestration
Decide how to split the job across agents, before you build them.
The multi-agent blueprint: a topology decision, agent roles and delegation contracts, an evaluation plan, and a context-isolation design, so you orchestrate agents on purpose instead of accreting them and hoping they cooperate.
Book an initial consultation Start with an AI Readiness Audit
One agent can't hold the whole job. How should we split it, who orchestrates whom, and how will we know it works?
Multi-agent systems fail when agents are added without a plan: unclear roles, tangled context, and no way to tell if the system is actually working. This project makes the structural decisions first, the topology, the roles and their contracts, and the evaluation plan, so the build has a blueprint and the system stays reliable as it scales.
What's included
Topology decision
A topology choice (manager and agents-as-tools, or decentralized peer handoffs), modeled as a graph.
Agent roles and contracts
Defined agent roles with delegation contracts: objective, output format, tool and source guidance, and boundaries per agent.
Evaluation plan
Realistic test cases, an end-state rubric, and where human review applies, so you can prove the system works.
Context-isolation design
A design where subagents return condensed summaries, not raw transcripts, so context stays clean as the system scales.
How it works
- 1
Choose the topology
We decide how the agents relate, manager or decentralized, and model it as a graph.
- 2
Define the roles
We specify each agent's role and delegation contract with clear boundaries.
- 3
Plan evaluation
We design the test cases, rubric, and human-review points, with context isolation built in.
What you walk away with
- A topology decision modeled as a graph
- Agent roles with explicit delegation contracts
- An evaluation plan with realistic cases and a rubric
- A context-isolation design that scales cleanly
Frequently asked
- Do we need a working single agent first?
- Ideally yes, or an equivalent agentic foundation. Orchestration builds on the single-agent pattern; proving that first de-risks the multi-agent design.
- Why design before building a multi-agent system?
- Because emergent behavior and compounding errors are far cheaper to prevent in a blueprint than to debug in production. Topology and contracts are the decisions that keep the system reliable.
Blueprint the multi-agent system first
Book a consultation to design the topology, roles, and evaluation for your multi-agent system.
Book an initial consultation Start with an AI Readiness Audit
Where this leads next
Agentic System Build
The build executes this blueprint: orchestration, the shared tool and MCP layer, and agent-to-agent execution.
Explore the project