Solutions
Ship faster without surprises. Automate requests, approvals, deployments, and evidence-so engineering moves quickly while ops sleeps at night.
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Modern software ships continuously. What breaks systems isn't speed-it's invisible risk: undocument dependencies, approvals that lag behind reality, and changes no one can trace when an incident hits. Software Change Management make the path explicit:
create the change, assess the risk, route the right reviewers, coordinate the window, verify the outcome-and prove it later with a complete record. You keep product velocity; you lose the drama.
Serviceaide Software Change Management is a snap-on orchestration layer for dev and ops. It listens to your pipelines, ticketing tools, and deploy platforms; creates and updates change records via API/webhooks; applies AI risk scoring and conflict checks; automates low-risk approvals; and captures implementation results in real time, including rollback/back-out details. Use it alongside Jira, CI/CD, ITOM/CMDB—no rip-and-replace
Request & Classify
Create a CR from Jira, a service desk, or automatically from your deploy tool (e.g., WFX/Jenkins/Ansible).AI and policy logic classify the request (standard/normal/emergency) and estimate risk using historical success/failure data.
Review & Approve
Low-risk templates auto-approve and move through; complex changes routes to peer review and CAB. Parent/child CRs model multi-region rollouts; versioning keeps documentation honest across revisions.
Schedule & Coordinate
Live calendars check for conflicts on shared infrastructure and across regions/clouds; change freezes/blackout periods are enforced. Stakeholders get email/SMS notifications on status changes and upcoming windows.
Implement & Verify
Pipelines and automation tools write back results to the CR in real time. If a change overruns it window or test fail, “successful” status is blocked until criteria are met or a linked rollback plan is executed.
Measure & Improve
Personalized dashboards track success rates, conflict hotspots, CAB lead time, and failure trends. AI surfaces patterns, suggests safer windows and rollback steps, and learns from failed changes to reduce future risk.




A payments platform connected its pipelines to auto-create CRs, turned maintenance tasks into pre-approved templates, and used AI conflict detection to clean up Friday nights. Result: –37% failed changes, –52% CAB lead time, happier ops.
A governance and automation layer that standardizes software changes,request through verification, so you ship
quickly with traceability, safety, and auditability.
Yes. API + webhooks support CR creation/updates from deploy tools and workflows; third-party automations
(WFX, Jenkins, Ansible) can trigger change workflows.
Yes. Pre-approved templates and policy rules auto-approve standard changes; thresholds and escalations
handle exceptions
Yes. Model complex rollouts as parent/child; pipelines write implementation results back to the record as they happen.
Yes—native Jira, plus connectors/APIs for ticketing and Smartsheet. Event-based updates keep everything in sync.
AI calculates automated risk scores, identifies high-risk changes from historical data, suggests rollback/back-out
plans, and learns from failures to improve future success rates.
Yes. The calendar engine detects shared-infrastructure conflicts, honors freeze/blackout periods, and optimizes
windows across regions or cloud instances.
Yes. Configurable rules per lifecycle stage; email/SMS updates for stakeholders; automatic status notifications.
Yes. Changes to plans and evidence are versioned; rollback plans are linked directly to their CRs.
Yes—define completion criteria; records auto-close when signals indicate success.
Sandbox/test included; software upgrades are part of your subscription.
Yes. Integrate with CMDBs (ServiceNow/BMC), discovery/ITOM, and incident modules for impact analysis and
feedback loops.














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