Multi-Agent Systems

Complex Work Needs More Than One Agent

Xccelera designs and builds multi-agent systems where specialized agents plan, execute, verify and learn together, coordinating complex enterprise workflows end-to-end.

Talk to an AI Architect

Agent team · live runRunning

Planner Builder Chat Verifier

TaskInvoice exceptionQueued

Planned Built Edited Verified

When One Agent Isn't Enough

Signs You Need a Multi-Agent System

Tick the ones that describe your workflow.

0 of 4 applyTick the signs that fit your workflow.Talk to an AI Architect

Design Patterns

Proven Patterns for Agent Teams

Pattern 01

Planner-Executor

A planner breaks work into steps; specialist agents execute them.

Pattern 02

Parallel Specialists

Independent tasks run at the same time in isolated environments.

Pattern 03

Verifier Loop

A verifier scores every result and triggers a repair pass when needed.

Pattern 04

Human Checkpoint

People approve key decisions before the system moves on.

Pattern 05

Shared Memory

Agents read from and write to one memory, so lessons carry across runs.

Example Walkthrough

Example: Support Ticket Routing

Ticket #4821 · run traceLive

Step 01

Planner Agent

Breaks the request into classify, route and notify steps.

ClassifyRouteNotify

Step 02

Classifier Agent

Reads the ticket and scores its urgency.

High · 0.94

Step 03

Routing Agent

Assigns it to the right team through Connectors & Actions.

JiBILL-212Billing team

Step 04

Notifier Agent

Alerts the team within the 2-minute SLA.

41s of 2m

Step 05

Verifier Agent

Checks the SLA was met; a miss triggers an automatic repair.

SLA met Evidence saved

plannerplan: classify → route → notify

classifierurgency: high · topic: billing

routingjira.assign BILL-212 → billing

notifierslack.post #billing-oncall · 41s

verifiersla: met · evidence saved

Shared Context and Memory

Agents That Learn Together

Every agent recalls past fixes, decisions and dead ends before acting, and shares what it learns with the rest of the system.

Memory types

Staging uses its own signing secret.Made the webhook handler idempotent.Route billing tickets to the on-call team.SLA met in 41 seconds.Classify, then route, then notify.Duplicate tickets cause most retries.

Governed and Observable

Every Agent Watched. Every Handoff Recorded.

Monitoring & Evidence Agent records every action
Full traces of every handoff between agents
Human approvals where your governance requires
Each step runs on the model that fits it

Trace · run 2,4815 handoffs

0s15s30s45s

Planner

Classifier

Routing

Approver

Notifier

Verifier

Evidence packPlanner: Built a 3-step planClassifier: Scored urgency: highRouting: Assigned BILL-212Approver: Finance lead approvedNotifier: Posted to #billing-oncallVerifier: SLA met · evidence saved

Saved

The Platform Behind It

Built on Xccelera Orchestrator

Our multi-agent systems run on Xccelera Orchestrator, are built with Xccelera Core and connect to your systems through Connectors & Actions.

Layer 3Your multi-agent system

PlannerClassifierRoutingNotifierVerifier

Built with Xccelera Core

Layer 2Xccelera Orchestrator

MemoryParallel MicroVMsVerificationMonitoring

Explore

Layer 1Connectors & Actions

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