When the workflow needs more than one agent, orchestrate them
Some workflows are too complex, too cross-functional, or too high-stakes for a single agent. Multi-agent systems decompose the work, assign specialized agents, coordinate handoffs, and keep a supervisor in the loop. We design them, build them, and run them in production.
Trusted by teams building and running mission-critical platforms
The challenge with the status quo
Single agents are great for well-bounded tasks. They struggle when the work spans systems, expertise, or decision authority. Stacking more capability onto one agent makes it brittle and harder to govern. The fix is more agents, with clear roles and orchestration between them.
How we design, build, and run them
Our approach combines product thinking, engineering discipline, and operational rigor to deliver multi-agent systems that work in production — not in a slide deck.
Workflow decomposition
We break the workflow into discrete jobs — each one bounded enough for a single agent to own well.
Agent role design
We define each agent's responsibility, tools, data access, and handoff protocol. Like designing a team org chart.
Orchestration & guardrails
We build the supervisor layer — who routes what, when humans get pulled in, how disputes resolve, and how failures are handled.
Observability
We instrument every handoff, decision, and tool call. You can replay any run, debug any failure, and prove what happened to compliance.
What you get
Numbers from real engagements, not marketing decks.
Typical team size in a production multi-agent workflow
agents per system
Share of workflow steps that no single agent could own end-to-end
complexity handled
Every handoff, decision, and action logged with full lineage
auditable
What these agents do
Production-grade capabilities, designed for enterprise systems and operational scale.
Supervisor Architecture
A coordinating agent routes work, monitors progress, and pulls humans in on exceptions. No agent operates without oversight.
Specialized Roles
Each agent has a narrow, well-defined job. Easier to test, tune, and replace than one giant agent.
Cross-System Handoffs
Agents coordinate across CRM, ERP, data warehouse, and internal APIs — without context loss.
Dispute Resolution
When two agents disagree, escalation rules and tie-breakers kick in. Humans can intervene at defined points.
Replay & Debug
Every run is replayable. You can rerun a failed workflow from any step and see exactly what each agent did.
Compliance-Ready
Full audit trails per agent, with role-based access. SOC 2, HIPAA, and SOX-friendly out of the box.
The engagements that build multi-agent systems
Most multi-agent systems engagements start with strategy, move through engineering, and end up in operations. Pick where you are.
Agent Strategy
You know AI agents are the move. You don't know which workflows to target first. We run sprints against your real data and tell you exactly where agents will deliver.
View engagementAgent Engineering
Chatbots answer questions. Agents reason through problems, call APIs, update systems, and handle the task end-to-end. We design multi-agent systems with guardrails, escalation paths, and human oversight built in.
View engagementAgent Knowledge Layer
Your agents are guessing because they don't have context. We build the knowledge and retrieval layer that gives them access to your docs, your data, and your terminology.
View engagement
Ready to ship?
Tell us what you want an agent to own. We'll help you scope where it acts, where humans stay in the loop, and how to ship it to production.
Schedule a discovery call