Org Monitoring AI

Know before your Salesforce org becomes a problem.

Configure monitors in minutes, detect risks early, and automatically turn alerts into support tickets for rapid triage and resolution.

Book an Org Monitoring walkthrough
Closed loop · live Watching
Healthy baseline established
Emerging signal detected
Contextual alert raised
Support ticket auto-created
Support Agent triage
Recommended resolution applied
Recovery verified against monitor
CRITICAL Ticket SUP-4192 created
Flow failure rate rising on Order Fulfilment
4.2% → 11.8% over 3 days. 214 records affected. Evidence and affected scope attached to the ticket.

Your org does not stand still between health checks.

New releases, configuration changes, shifting volumes, permission updates, integration failures and changing user behaviour can quietly move a healthy Salesforce org toward risk. Manual checks are inconsistent. Dashboards show symptoms after the fact. Periodic reviews reveal only a moment in time.

Configuration
A flow, validation rule or permission change alters established behaviour.
Business consequence
Broken journeys, rework and avoidable incidents.
Data
Completeness, duplication or record volumes drift beyond acceptable levels.
Business consequence
Poor decisions, failed automation and low trust.
Integrations
Latency, authentication, payload or error patterns deteriorate gradually.
Business consequence
Silent data gaps and downstream disruption.
Performance
Queries, automation or page behaviour slow as volume and complexity grow.
Business consequence
Lost productivity and weak adoption.
Access
Privilege, sharing or inactive-user exposure moves outside policy.
Business consequence
Security, audit and compliance risk.
Business outcomes
Conversion, SLA, routing or case backlog trends move off target.
Business consequence
Customer and revenue impact before the technical cause is clear.
Monitor library

From platform health to business outcomes.

Every monitor answers three questions: what is being watched, what constitutes risk, and what happens when the condition is met. Open a card to see the signals and the early warning it surfaces.

Metadata and configuration +
Illustrative monitors
New or changed objects, fields, layouts, record types, validation rules, flows, Apex, permissions and dependencies.
Early signal
Unexpected production change, unmanaged drift or high-impact dependency.
Automation health +
Illustrative monitors
Flow failures, paused interviews, error-rate trends, recursion, execution time, automation collisions and backlog.
Early signal
Rising failure pattern before a process stops.
Data quality +
Illustrative monitors
Completeness, duplicates, validity, consistency, ownership, stale records, orphaned records and unusual volume movement.
Early signal
Quality deterioration before reporting and automation lose trust.
Security and access +
Illustrative monitors
Privileged access, permission expansion, inactive users, login anomalies, sharing changes, integration-user exposure and policy exceptions.
Early signal
Exposure or control drift requiring review.
Performance and limits +
Illustrative monitors
API, storage, CPU, query, heap and concurrency consumption; slow pages, jobs or transactions.
Early signal
Capacity or performance trend approaching disruption.
Integrations +
Illustrative monitors
Authentication failures, endpoint availability, latency, error codes, retries, message backlog, reconciliation and schema mismatch.
Early signal
Degradation before a critical data flow breaks.
Releases and environments +
Illustrative monitors
Production changes, sandbox-to-production drift, failed deployments, missing dependencies and post-release regression signals.
Early signal
Release risk while recovery options remain open.
Usage and adoption +
Illustrative monitors
Active-user trends, feature use, record creation, process abandonment, workarounds and licence utilisation.
Early signal
Falling adoption or value leakage.
Service and operational health +
Illustrative monitors
Case backlog, routing exceptions, SLA risk, reopen rates, queue ageing and escalation patterns.
Early signal
Operational pressure before customer impact peaks.
Revenue and process outcomes +
Illustrative monitors
Lead response, stage ageing, conversion, quote failure, renewal risk, forecast hygiene and approval bottlenecks.
Early signal
Business-process movement outside expected range.
Compliance and audit +
Illustrative monitors
Control execution, retention exceptions, consent gaps, required-field compliance and unapproved configuration movement.
Early signal
Evidence of control drift or audit exposure.
AI and Agentforce readiness +
Illustrative monitors
Grounding-data freshness, access boundaries, failed actions, handoff patterns, outcome quality and unexpected agent behaviour.
Early signal
AI performance, trust or governance risk.
Custom monitors

If you can describe the risk, you can create the monitor.

Creation is guided and outcome-led rather than query writing. A plain-language objective becomes suggested signals and conditions, while the final rule stays visible and under your control.

1
Choose what matters
Select an object, component, integration, user behaviour, operational metric or business outcome.
2
Define normal and risk
Choose a recommended baseline, threshold, trend, anomaly or compound condition.
3
Decide the response
Set severity, recipients, channel, suppression window, escalation and ticket destination.
4
Preview and activate
Review the rule, sample alert, evaluation frequency and expected ticket; test and switch on.
Plain-language objective
“Alert me when high-value opportunities remain in the same stage longer than their historical norm, exclude approved hold reasons, warn the sales operations team and create a critical ticket if more than 10 records are affected.”
AI assistance · step 1
Suggests relevant signals and available data sources.
Controls that keep custom monitoring usable
Plain-language monitor summary beside the technical rule.
Recommended thresholds informed by current baselines, with user approval before activation.
Preview of who will be alerted and exactly when a support ticket will be created.
Deduplication, maintenance windows, suppression, exclusions and alert grouping to reduce noise.
Role-based rights to create, approve, edit, pause and retire monitors.
Closed loop

Every material alert becomes accountable work.

When a monitor meets its ticketing condition, Org Monitoring AI automatically creates a structured ticket in the Support Agent. The ticket carries the alert context forward, so support starts with evidence rather than a blank description.

1 Detect
2 Enrich
3 Create ticket
4 Triage
5 Diagnose
6 Resolve
7 Verify
8 Learn
Automated action
Evaluate the signal and confirm the monitor condition.
Human decision or control
Approved monitor logic and thresholds govern detection.
Closed-loop promise
Signal → context → ticket → triage → resolution → verified recovery. No manual copying, no lost alert and no separation between monitoring and support.
Support Agent

Give support teams a head start on every issue.

Automatic classification and routing
Reduces queue handling and sends the issue to the right capability faster.
Context assembly
Brings together monitor evidence, affected metadata, records, logs, releases and prior issues.
Impact assessment
Translates technical symptoms into likely user, customer, compliance or revenue impact.
Diagnosis assistance
Surfaces correlated changes, dependencies and plausible root causes for validation.
Resolution recommendation
Proposes containment, remediation steps, test approach and rollback considerations.
Knowledge reuse
Finds similar resolved tickets, known errors, runbooks and organisational decisions.
Collaboration and escalation
Creates a clear audit trail across support, product, Salesforce and business owners.
Recovery verification
Uses the originating monitor and related measures to confirm that health has returned.
Who gets value

Pick a role. See what it changes.

Salesforce platform owner
A continuously updated view of org health and risk without a growing manual-check burden.
Monitors they care about
Limits, automation failures, drift, technical-debt signals and release regressions.

Do not wait for the next Salesforce issue to tell you what should have been monitored.

Start with proven templates for your highest-risk Salesforce processes, or build the exact monitors your operating model needs.

See how GetGenerative.ai connects early warning directly to support triage and resolution.

Book an Org Monitoring walkthrough
No-cost walkthrough. Real monitors. Alert-to-resolution included.
Closed loop, end to end
Signal
Context
Ticket
Triage
Resolution
Verified recovery