Orchestration design
Who does what, in which order, and what happens when two agents reach for the same task.
Multi-agent orchestration
Multi-agent system development
One agent struggles with a whole business process. A small team of specialist agents, with an orchestrator keeping them in line, can run it. We design and build those teams.
Why one big agent stops working
Give a single agent a whole process, like getting delayed shipments back on track, and it has to juggle data, predictions, actions and customer messages in one long prompt. It gets slow, it gets confused and it’s hard to test.
So we split the work. An orchestrator plans the steps and hands each one to an agent built for it: one fetches records, one runs forecasts, one updates systems, one talks to customers. Each agent is small enough to test properly and has only the access its job needs. A person signs off anything risky.
- Orchestrator plus specialist agents
- Each agent has least-privilege access
- Every step logged and replayable
- People approve risky actions
What goes into a multi-agent system we build
Specialist agents
Narrow agents for data, prediction, action and communication that are easy to test and replace.
Shared memory and state
A single record of the task that every agent reads and writes, so nothing gets lost between steps.
Permissions per agent
Each agent gets only the tools and data its job needs, so a mistake in one can’t spread.
Human-in-the-loop
Approval steps where a person checks risky or unusual actions before they happen.
Tracing and replay
See every decision each agent made, replay a run and turn failures into test cases.
Agent systems we’ve shipped
LogisticsRead the case study Field serviceRead the case study HealthcareRead the case study
Formula2Ship
One agent picks the courier for every order, one watches for SLA failures, one keeps customers updated on WhatsApp and SMS, and a chatbot handles bookings and weight disputes.
110+ → <25weekly escalations
22,000+orders a day
Check’NdOut
An AI agent books jobs and builds crew schedules for a landscaping business that grew into a full field-service app.
3 → 1apps replaced
AIbooking and scheduling
Elderly-care monitoring
Sensors in each room and AI activity detection that tell caregivers when something looks wrong, so nobody has to watch a screen.
IoTmulti-room sensors
AIearly health alerts
How we work
- 1
Map the process
We write down how the work really flows today, including the exceptions people handle by hand.
- 2
Design the team
Which agents, what each may touch, where the orchestrator decides and where a person approves.
- 3
Build and test against history
We run the system on past cases and compare its choices with what your team actually did.
- 4
Roll out in stages
Start with suggestions, then let agents act on the easy cases while people keep the hard ones.
Questions we often get
What is a multi-agent system?
A multi-agent system is a group of AI agents that each handle one part of a job, coordinated by an orchestrator that plans the work, assigns steps and checks results. It suits processes that are too broad for one agent to handle reliably.
What is multi-agent orchestration?
Orchestration is the layer that decides which agent acts, in what order, with what information, and what happens when something fails or two agents need the same resource. It also decides when to stop and ask a person.
When do we need several agents instead of one?
When the process mixes very different skills, like reading data, forecasting, changing records and writing to customers, or when it has many exceptions. If one well-defined task is the goal, a single agent is usually simpler.
Isn’t a team of agents harder to control?
It’s easier, if it’s designed well. Small agents with narrow permissions are simpler to test than one agent that can do everything, and every handover between them is logged.
Which frameworks do you use?
Often LangGraph, sometimes our own orchestration on queues and event streams. We choose based on how complex the flow is and where it needs to run.
How long until it’s useful?
We aim to have a first version suggesting actions on real cases early in the project, then widen what it does as the results hold up. You’ll get a written plan and timeline after a free 30-minute call.
Tell us what you’re building
A senior engineer will reply within one business day.