Several Specialised Agents, Each Doing One Part Well
Instead of one agent trying to be a support rep, a scheduler and a records clerk at once, each part of the process gets an agent built for that part — and a clean hand-off to the next one.
One Agent Doing Everything Is Usually a Warning Sign
It's tempting to fold a whole process into one agent with a longer set of instructions. In practice that tends to create the same problems, regardless of how capable the underlying model is.
Instructions covering five different jobs get harder to test cleanly — a fix for one job risks quietly changing behaviour on another.
Escalation rules blur when one agent owns every decision — it's harder to say precisely which case should have gone to a person.
When something goes wrong, it's slower to trace which part of a tangled set of instructions caused it.
A Hand-Off, Not a Merge
Each agent owns one part of the process and passes a specific package of context to the next — illustrative example below, not a fixed template every build follows.
What Makes Several Agents Behave Like One System
A Shared Record of the Case
Every agent in the chain works from the same underlying case record, so context doesn't get lost between hand-offs.
A Defined Hand-Off Contract
Exactly what one agent passes to the next, and exactly when — not an informal note that changes shape over time.
Orchestration and Monitoring
A view across the whole chain, so you can see where a case is, and where it stalled, without checking each agent separately.
When This Is the Right Shape, and When It Isn't
Most businesses that ask about multi-agent systems are better served starting with a single agent. This is genuinely the more complex end of what we build, and complexity should be earned, not defaulted to.
Reach for This When
- Distinct parts of a process genuinely need different specialisations
- A single agent has already proved the approach on one part
- The process is high enough volume to justify the extra build and maintenance
Stay With One Agent When
- You haven't built or run a single agent yet
- The process is genuinely one job, described that way to sound more impressive
- Volume is low enough that the coordination overhead outweighs the benefit
Multi-Agent System Questions
Do we actually need multiple agents, or would one be enough?
Usually one is enough, and we'll say so rather than scoping something bigger than the task needs. Multiple agents earn their place when distinct parts of a process genuinely need different specialisations — different systems, different rules, different tone — and forcing all of that into one agent makes it harder to test and maintain, not easier.
How do agents coordinate without stepping on each other?
Through a defined hand-off contract — each agent has a clear scope, and passes a specific, structured package of context to the next one rather than a vague note. Which agent is responsible for a given case is never ambiguous.
What happens if one agent in the chain fails or is unsure?
It escalates at its own step rather than passing a guess forward. The case stops where the uncertainty is, with the context gathered so far attached, so a person picks it up without starting over.
Is a multi-agent system more expensive than a single agent?
Generally, yes — more moving parts means more integration and testing work. Where it falls is covered on pricing; the honest driver is how many agents and hand-offs the task actually needs, not a fixed multiplier.
Can we start with one agent and add more later?
Yes, and that's the path most engagements actually take. A single custom agent proves the approach on one part of the process, and a second agent gets added once there's a real, specific reason for it.
Describe the Whole Process, We'll Tell You How Many Agents It Needs
Often the honest answer is fewer than you'd guess. We'll say so on the call.