Multi-Agent Systems
For the process that crosses systems, teams, and decision rights.
Some work is too broad or too high-stakes for one agent. Multi-agent systems split it into well-bounded jobs, give each a specialized agent, coordinate the handoffs, and keep a supervisor and a person in the loop. We engineer them, and we run them in production.
Part of
02Engineer
Turn possibility into production.
Agent & workflow engineering
Where this sits in the lifecycle
The frontier capability behind it
Agents are the mechanism. The capability is the point.
Agentic workflows
Multi-step processes run end to end. People approve the exceptions instead of doing every step.
Where it landsClaims intake, prior authorization, order-to-cash
MCP & agent interoperability
Your software gains a second kind of user: agents, with scoped and auditable access to act.
Where it landsInternal tools and systems of record, exposed safely
The problem
One agent is right for a well-bounded task. It struggles when the work spans systems, expertise, or decision authority, and piling more onto it makes it brittle and hard to govern.
- Processes that span several systems, departments, and approvers
- Single agents that grow slow and untestable as scope grows
- Context lost every time work changes hands
- Oversight that gets harder when one black box does everything
How we work
Four steps. One team the whole way.
- 01
Decompose the work
Break the process into jobs bounded enough for one agent to own well.
- 02
Design the roles
Each agent’s responsibility, tools, data access, and handoff protocol, like an org chart.
- 03
Orchestrate with guardrails
The supervisor layer: routing, when people are pulled in, how disagreements resolve, how failures recover.
- 04
Make every run visible
Every handoff, decision, and tool call instrumented, so any run can be replayed and explained.
What’s included
What multi-agent systems covers. In practice.
Supervisor architecture
A coordinating agent routes work, tracks progress, and pulls people in on exceptions.
Specialized roles
Narrow, well-defined jobs that are easier to test, tune, and replace.
Cross-system handoffs
Coordination across CRM, ERP, warehouse, and internal APIs without losing context.
Disagreement handling
Escalation rules and tie-breakers, with defined points for people to step in.
Replay & debug
Rerun a failed workflow from any step and see exactly what each agent did.
Compliance-ready
Per-agent audit trails and role-based access, suited to SOC 2, HIPAA, and SOX.
What you can hold us to
Commitments. Not marketing ranges.
What every build commits to. Performance is measured on your own work during the engagement, not quoted from industry ranges.
- auditable
- 100%
- auditable
- Every handoff, decision, and action logged with lineage
- runs
- Replayable
- runs
- Rerun any workflow from any step to see what happened
- by design
- Supervised
- by design
- No agent acts without a coordinator and a defined human checkpoint
Go deeper
Other kinds of work agents take on.
- EngineerTurn possibility into production. Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows.
- Workflow AgentsTake the manual workflow off your team, step by step.
- Knowledge AgentsAnswers from your own knowledge, with the source attached.
- Customer-Facing AgentsResolve the request, not just reply to it.
- Agent operationsOnce it’s live, someone has to own it. How we run agents in production and keep them improving.
Bring us the end-to-end process. We’ll split it up.
The one that crosses four systems and three teams. We’ll show you where to divide it across agents, how they hand off, and what stays under human control.