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Home/Solutions/Event Driven
Solution · Architecture

Event-Driven Automation

React to enterprise events the moment they happen — across Kafka, Event Hubs and webhooks.

KafkaEvent HubsEventBridgePub/Sub
ms
Latency
Kafka
Native
DLQ
Built-in
Audit
Per event
What it does

Where xyner creates leverage in Event-Driven Automation

Six high-impact use cases delivered by built-in and customizable agents.

Stream triggers

Kafka, Event Hubs, EventBridge, Pub/Sub.

Webhook triggers

From SaaS systems, CDC, custom apps.

CDC capture

Database change-data-capture for real-time agents.

Backpressure

Built-in flow control and dead-letter queues.

Exactly-once

Where the upstream supports it.

Cross-event correlation

Aggregate signals across streams.

Architecture

A complete solution, not a chatbot

React to enterprise events the moment they happen — across Kafka, Event Hubs and webhooks.

  • Pre-built agents tuned for the function
  • Native integrations with your systems
  • Policy and approval gates built in
  • Full audit and replay
GOAL Q3 close PLAN 4 tasks EXECUTE + replan OUT COME
Agents you deploy

Built-in, customizable

Use the starter pack to ship in weeks, then extend with custom agents that fit your unique workflows.

  • Includes: Stream.Agent, Event.Agent, Realtime.Agent
  • Customize tools, policies and prompts per agent
  • Mix built-in and custom freely
  • Marketplace agents from partners
Supervisor Finance HR ITSM Analytics Support Procure
How it works

From signal to action in milliseconds.

Don't wait for tomorrow's batch. React to real-world signals as they happen — with the same governance as any scheduled workflow.

1

Subscribe

Agents subscribe to Kafka, Event Hubs, Kinesis, Pub/Sub, SNS, database CDC and webhook streams across your enterprise.

2

Filter & correlate

Filters, deduplication and correlation rules turn firehoses into actionable triggers — no agent runs on noise.

3

Decide

Reasoning happens in real time — fetch context, check policy, decide whether to act, escalate or ignore.

4

Act

Tool calls execute within milliseconds — open a ticket, freeze an account, dispatch a technician, notify a customer.

5

Close the loop

Outcomes flow back into the stream so downstream consumers see the action and its result.

Outcomes

What customers measurably ship with this solution.

Real numbers from production deployments across regulated enterprises.

< 1s
Trigger-to-action
Streams
Native
Exactly-once
Where supported
Bounded
Latency at scale
Time-to-value

Real-time without losing governance

Sub-second response is necessary but insufficient. Every event-driven action carries the same RBAC, audit and approval logic as any scheduled workflow.

Risk reduction

Built for high-cardinality streams

Telco signals, banking trade flows, IoT telemetry — xyner scales to millions of events per second with bounded latency.

Industry use cases

How Event-Driven Automation shows up in your industry.

Concrete patterns from regulated enterprises across financial services, healthcare, telecom, public sector and manufacturing.

Banking

Fraud freeze

On suspicious-pattern detection, agents freeze the account, notify the customer and open a fraud case sub-second.

Insurance

FNOL triage

On first-notice-of-loss submission, agents pull policy, validate coverage and route to the right queue instantly.

Healthcare

ICU alerts

On telemetry deviations, agents page the specialist, open chart notes and surface patient context.

Telecom

Outage response

NMS alerts auto-open tickets, post status, dispatch field crews and run remediation playbooks.

Public sector

Critical-event response

Emergency events route to the right agency with pre-built playbooks.

Manufacturing

Line-stop response

Quality-deviation events alert engineering, escalate to ops and start root-cause analysis.

Why xyner

Batch jobs vs. event-driven agents.

If you find out about problems on tomorrow's batch report, the customer already churned.

Dimension
Without xyner
With xyner
Latency
Hours to days
Sub-second to seconds
Triggers
Cron
Streams, webhooks, CDC, IoT
Throughput
Constrained by batch window
Scales with stream capacity
Granularity
Aggregated
Per-event
Resilience
Re-run the whole batch
Replay individual events
Operating cost
Burst peaks
Smooth, demand-shaped
How to deploy

From pilot to production

A guided journey from your first workflow to enterprise rollout.

1

Pilot

Pick one workflow; run alongside your team in copilot mode.

2

Measure

Validate KPIs and ROI against a clear baseline.

3

Govern

Layer policies, approvals and audit thresholds.

4

Scale

Expand to additional workflows and teams.

Real-time agents on Kafka cut our incident response from 12 minutes to 12 seconds.
SVP, Network Ops · Telecom Carrier

Plays well with

SAPOracleSalesforceServiceNowMicrosoft 365SnowflakeDatabricksWorkdayKafkaTeamsSlackJira
FAQ

Common questions, straight answers.

How are events delivered?

Native consumers — at-least-once or exactly-once where supported.

Can I throttle?

Yes — per-topic and per-tenant.

Get started

Ready to put autonomous agents to work?

See xyner in your environment with a guided executive demo.

Request a demo Contact us
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