Solutions
Structured processes to minimize risk and maximize stability. Standardize requests, automate approvals, prevent conflicts, and prove control-without ripping out your existing ITSM


Unstructured change is a tax you pay in downtime, rollbacks, and late-night firefights. You need a system that captures intent, make risk explicit, and routes the right people at the right-time-then documents everything for audits. Serviceaide provides guardrails to move faster and safer:
standard/normal/emergency paths, real-time calendars, and a single record of truth for decisions, dependencies, and results. (For context on why IT must formalize change, see CIO.com’s recent guidance for IT leaders.)
Serviceaide IT Change Management centralizes the lifecycle: request → assess → approve Streamline Change → implement → verify → close. Change forms adapt to context; risk models guide the path; approvals are automated where safe and escalated where necessary. A live calendar Management for coordinates shared infrastructure, while AI spots conflicts and proposes safer windows before you commit.
Every change begins as a clean, structured request. AI classifies it as standard, normal, or emergency and flags security/compliance sensitivity. Peers can review complex work before CAB. When you schedule, the system checks for collisions across shared systems and regions, then nudges you toward a safer slot. During implementation, results stream back into the record in real time. If a window is exceeded or tests fail, “successful” stays locked until the back-out plan is applied—or a new approval is granted.

Fewer failed changes. Faster approvals for low-risk work. Conflict-free scheduling across regions and clouds. Leaders get visibility that matters—success rates, mean time between failed changes, rollout velocity—on dashboards built for board decks and daily standups alike.


Fewer rollbacks. Quieter on-calls. Audits that feel routine.
Banks, health systems, SaaS platforms, and utilities trust Serviceaide to make change boring—in the best way. (Gartner Peer Insights reviews consistently call out ChangeGear’s usability for change workflows.)


AI watches your backlog and schedule like a seasoned SRE. It predicts conflicts on shared systems, estimates success probability using historical patterns, and proposes safer windows across regions or cloud instances. It auto-tags security-sensitive changes, suggests impacted teams for cross-functional review, and pre-approves templated maintenance when risk is negligible—so humans spend time where judgment matters.
Plug into your stack: Jira for dev flow; incident modules for feedback loops; ITOM/discovery and CMDBs for topology; AD/HR systems for user sync; Teams and email/SMS for notifications; pre-built Power BI/Tableau connectors for KPIs. Use it alongside ServiceNow or BMC CMDBs; Smartsheet and ticketing tools slot in for planning and status sync. (Gartner’s comparisons show ChangeGear positioned among leading ITSM platforms.)


Every approval is timestamped. Every action is logged. Data is encrypted in transit and at rest. Access can be restricted by project, customer, or region. Retention and purge policies are configurable; audit logs are searchable/exportable; reports are one-click for recurring frameworks and leadership cadences.
A global SaaS platform cut failed changes by a third and shrank CAB lead time by half after standardizing templates and enabling AI conflict detection. The best part? Less pageantry, more predictability.
To turn risk into a managed variable—consistent classification, approvals, windows, and
evidence so velocity doesn’t mean volatility. (See CIO.com on the leadership mandate.) CIO
Yes. Route complex work to peer review prior to CAB.
Yes. AI + policy rules classify automatically; humans can override.
Yes. Plans are required per policy and tied to close criteria.
Yes. Pre-approved templates automate safe paths; escalations handle exceptions.
A live calendar checks shared infrastructure, regions, and maintenance windows; AI flags
overlaps and proposes alternatives.
Yes. The system suggests impacted teams based on dependencies.
Yes. Define regions, clouds, and environments (prod/test/training), with refresh/clone
guidance.
Yes—automatic updates on status changes and upcoming windows.
Yes. Dependency mapping + schedule intelligence + AI conflict detection.
Yes. Dependency-aware impact analysis with “what-if” scheduling.
Yes—by system, region, or time window.
Yes—timers and multi-level policies.
Yes—pre-built boards for in-flight changes, conflicts, KPIs.
Yes—native connectors and APIs. Works with external CMDBs (ServiceNow, BMC) and
ITOM/discovery.
Yes—user/group sync via SSO/AD; SCIM where supported.
Yes—out-of-the-box trend/KPI packs plus BI connectors.
Yes—signals before approval; success-probability insights and likely failure points.
Yes—AI works with your ITSM, CMDB, and ticketing data to keep records current.
Timestamped approvals, immutable histories, exportable logs, and audit-ready reports
mapped to frameworks.














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