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Use Case — Cross-System Sync

Stop updating five tools to reflect one fact.

When a deal closes in your CRM, that fact needs to exist in six other places within the hour. A Nexwatt sync agent propagates the change, applies conflict resolution logic, and routes ambiguous cases to a human — instead of letting stale data accumulate until someone notices.

Source of truth CRM: Deal closed
Sync agent Evaluates + propagates
Jira Epic created
Sheets Row updated
Slack Notification sent
Conflict → Human queue

Event-triggered. Conflict-aware. Human when unsure.

1
Trigger — event in source system

The agent listens for the triggering event — a record update, a field change, a status transition. Supported via webhook, polling, or API trigger depending on the tool's capabilities.

2
Read — collect current state from all targets

Before writing, the agent reads the current state of each target system. This lets it detect conflicts — cases where the same field has been updated independently in multiple places since the last sync.

3
Resolve — apply conflict logic

You define precedence rules in plain English: "CRM is always the source of truth for deal value, Jira is authoritative for implementation status." The agent applies these rules to resolve conflicts where it can, and flags the ones it can't.

4
Write — propagate to all targets

Resolved updates are written to each target system. If any write fails (API error, rate limit), the agent retries with exponential backoff and logs the failure to the audit trail for manual resolution if retries are exhausted.

5
Queue — unresolvable conflicts go to humans

When the conflict resolution rules don't produce a clear answer — or when confidence is below threshold — the item routes to the human review queue with full context: which field, which values, which systems, and what the conflict resolution options are.

deal-sync-v2 — run #1842
CRM
Trigger
Deal: Heltec Systems — Status: Closed Won
done
Sync: Jira + Sheets + Slack
Epic created, tracker updated, CS notified
done
CF
Conflict detected
Owner field: CRM=Jordan, Jira=Alex — route to queue
queued
Conflict confidence
44% — escalated

No more weekly data cleanup meetings.

94%
Reduction in sync errors

Automated propagation eliminates the manual copy-paste errors that account for the majority of data inconsistencies

Real-time
Data consistency across tools

Changes propagate within minutes of the triggering event, not at the end of the day when someone remembers

0
Manual sync incidents per week

RevOps teams report eliminating the weekly "data cleanup" meeting entirely after deploying sync agents

Stop chasing stale data. Deploy a sync agent this week.