Multi-agent systems
Specialists that hand work to each other. Like a good team.
The problem it removes
One bot that does everything does everything poorly: the prompt grows until sales logic leaks into support answers and nobody can change anything safely.
Businesses end up with three disconnected bots from three vendors, each with its own blind spots, none aware the others exist.
What gets built
Agents with narrow jobs
A qualifier, a product consultant, a support agent, an operations agent: each has its own knowledge, tone, and permissions.
Explicit handover protocols
When the support agent detects a sales opportunity, the lead moves to the sales agent with context. Handovers are rules, not luck.
One shared memory
The customer never repeats themselves: history, preferences, and open issues travel across agents and channels.
Human escalation on top
The same protocol that moves work between agents moves it to people: with context, with priority, with an audit trail.
What it plugs into
- Everything the chat and voice systems connect to
- Internal tools through APIs
- Order management and inventory systems
- Analytics: per-agent metrics and handover maps
What typically changes
- Each agent stays simple enough to test, change, and trust.
- Cross-sell moments stop being lost between support and sales.
- The system scales by adding an agent, not by rewriting a monolith.
Framed from industry benchmarks and typical deployments, not from named clients.
Where it lives in pricing
Multi-agent architecture enters at the Scale package. Enterprise builds add custom agents for internal operations. All packages and details
Is this overkill for a small business?
Usually yes, and we will say so. Multi-agent pays off when you have distinct workflows with different rules: sales versus support versus logistics. Start smaller; the architecture upgrades cleanly later.
How do you stop agents from contradicting each other?
Shared knowledge base, separated permissions, and handover rules that name a single owner for every conversation state. Contradictions are an architecture failure, and the architecture is the product here.
Can agents run internal tasks, not just customer chat?
Yes: report assembly, order status checks, stock reconciliation, reminder cascades. Internal agents follow the same protocol discipline.