Tiered Support
L1–L3 coverage with clear SLAs, defined escalation, and a pod that actually knows your instance.
L1–L3 support, administration, release management, and continuous optimization — powered by predictive monitoring and dedicated pods that keep your instance healthy around the clock.
Updated July 2026 · Ramisun — Official ServiceNow Partner
Intelligent Managed Services is a fully managed operating model for your ServiceNow platform — combining tiered support (L1–L3), proactive administration, release and upgrade management, and continuous optimization. Ramisun’s dedicated pods use predictive monitoring to catch issues before they reach users, so your platform keeps improving after go-live instead of drifting into technical debt.
L1–L3 coverage with clear SLAs, defined escalation, and a pod that actually knows your instance.
Instance health monitoring, data governance, and routine maintenance that prevent problems rather than react to them.
Planned upgrades with automated regression testing (ATF) and a structured, non-disruptive cutover.
Performance tuning and a delivered enhancement backlog — the platform improves every sprint.
We run ServiceNow managed services as a partner, not a ticket queue. A dedicated pod learns your instance, predicts issues before users feel them, and delivers a steady stream of enhancements.
A consistent team that knows your instance, your integrations, and your priorities.
Monitoring and health scans surface issues before users report them, so you prevent outages.
Upgrades are planned, regression-tested with ATF, and cut over without disruption.
An enhancement backlog is delivered every sprint, so your platform keeps compounding in value.
Why a stretched admin team quietly accrues technical debt — and how predictive, pod-based operations keep the platform current and improving.
| Level | What it is | What it does | Key point |
|---|---|---|---|
| Level 1: Break-Fix Only | React when something breaks, with no prevention | Firefighting outages after users are already affected | Downtime, deferred upgrades, growing risk. |
| Level 2: In-House Admin | A stretched internal admin or small team | Keeps the lights on, but upgrades and improvements slip | Tech debt accrues; the platform stops evolving. |
| Level 3: Intelligent Managed ServicesRamisun | A dedicated pod with predictive monitoring | Prevents issues, upgrades on schedule, optimizes continuously | Healthy, current, and improving every sprint. |
Best-in-class Now Platform products selected for your specific use case.
We partner with industry leaders to drive meaningful transformation.
“Ramisun didn't just implement ServiceNow — they redesigned how our teams work. Their AI agents now handle most routine requests.”
“Their marketplace expertise was the difference. We went from prototype to a certified ServiceNow Store listing our team could sell.”
“Transparent, agile, and genuinely business-first. Every sprint ended with something we could show our executives.”
“The CMDB work alone paid for itself. We finally trust our configuration data enough to automate against it.”
“Hypercare was real hypercare. Go-live week felt boring in the best possible way.”
“Ramisun didn't just implement ServiceNow — they redesigned how our teams work. Their AI agents now handle most routine requests.”
“Their marketplace expertise was the difference. We went from prototype to a certified ServiceNow Store listing our team could sell.”
“Transparent, agile, and genuinely business-first. Every sprint ended with something we could show our executives.”
“The CMDB work alone paid for itself. We finally trust our configuration data enough to automate against it.”
“Hypercare was real hypercare. Go-live week felt boring in the best possible way.”
An implementation is only as good as the consulting behind it. When the platform mirrors how your business actually works, adoption follows — and so does ROI.Vinnay Nigam, Founder & CEO, Ramisun
We provide L1 (triage and first response), L2 (configuration and functional fixes), and L3 (deep platform and development work). Coverage models range from business hours to 24×7.
SLAs are defined per engagement by incident priority. Critical incidents typically carry a sub-15-minute response target under 24×7 coverage.
Upgrades are planned, not scrambled. We assess impact, run automated regression tests with the Automated Test Framework, remediate deprecations, and cut over on a schedule you agree.
Yes. Many clients use us as a dedicated pod alongside their internal team — we take on L2/L3, upgrades, and the enhancement backlog while your staff focus on the business.
Managed services are priced on coverage tier, instance complexity, and included enhancement capacity — as a predictable monthly engagement rather than open-ended time and materials.
Performance tuning, CMDB and data-quality governance, technical-debt reduction, and a steady enhancement backlog delivered each sprint.
Responsible AI adoption needs guardrails. Our delivery model is designed around security, auditability, and compliance from the first workshop.
Delivery processes mapped to SOC 2 trust principles.
Information security management across every engagement.
Privacy-by-design data handling and processing controls.
Policy controls, auditability, and human oversight for every AI agent.
Every quarter without the right platform is revenue and efficiency left on the table. Tell us your challenge — get a real plan back, not a sales script.
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