Agent Design in AI Agent Studio
Ramisun designs, grounds, and tests agents in AI Agent Studio — defining goals, tools, and the boundaries of what each can do.
ServiceNow AI Agents & AI Agent Studio — autonomous agents that plan, act, and resolve, safely.
Ramisun designs and deploys ServiceNow AI Agents that go beyond suggestions — they plan, take action, and orchestrate work across ServiceNow and connected systems. Built and tuned in AI Agent Studio and grounded in your data, they resolve routine work end-to-end within policy guardrails and human oversight. Agents earn autonomy scenario by scenario, so you get real outcomes with control and a full audit trail at every step.
AI Agents & AI Agent Studio is ServiceNow's framework for autonomous AI. AI Agents are goal-driven: they reason over a request, plan the steps, and take action across ServiceNow and integrated systems — resetting access, updating records, fulfilling requests, or orchestrating a multi-step process. AI Agent Studio is where these agents are designed, grounded, tested, and governed. Ramisun builds agents that resolve real work end-to-end, with policy guardrails, human-in-the-loop checkpoints, and full auditability — autonomy earned as each scenario proves reliable.
Ramisun designs, grounds, and tests agents in AI Agent Studio — defining goals, tools, and the boundaries of what each can do.
Agents plan and execute across ServiceNow and connected systems — not single replies, but complete workflows.
Policy controls, approval checkpoints, and escalation paths bound every agent, with humans in control of high-stakes steps.
Through IntegrationHub and APIs, agents act beyond ServiceNow — ERP, identity, monitoring, and more.
Assistance saves minutes; autonomous resolution removes the work entirely.
From request to resolution — the agent plans and acts, with guardrails throughout.
A request or trigger reaches the agent
It reasons over intent and your data
It plans the steps needed to resolve
Guardrails and approvals gate risky actions
It executes across ServiceNow and systems
Every step logged with confidence and outcome
The difference is whether a human still has to do the work after the AI advises.
| Area | Copilot / Suggestion Only | ServiceNow AI + Ramisun |
|---|---|---|
| Nature of Help | Summarises and drafts for a human | Plans and completes the work autonomously |
| Who Acts | A person still executes every step | The agent executes, within guardrails |
| Routine Work | Sped up, but still human-driven | Resolved end-to-end, hands-free |
| Availability | Limited to staffed hours | 24/7 autonomous operation |
| Cross-System | Human hops between tools | Agent orchestrates across systems |
| Control | Implicit, per action | Explicit guardrails, approvals, escalation |
| Auditability | Patchy | Every action logged and reviewable |
Each capability maps to a specific part of building governed autonomous AI.
Ramisun designs agents in AI Agent Studio — defining each agent's goal, the tools and data it can use, and the boundaries it must respect — then grounds and tests them before go-live.
We deploy agents that complete real workflows — resetting access, updating records, fulfilling requests, and running multi-step processes — not just answering a single question.
Ramisun bounds every agent with policy controls, approval checkpoints, and escalation paths — so autonomy is safe by design and humans stay in control of high-stakes decisions.
Through IntegrationHub and APIs, we let agents act beyond ServiceNow — coordinating ERP, identity, monitoring, and other systems so resolution isn't limited to one platform.
An out-of-box-first, evolutionary approach that ships value from the first sprint — with policy, audit, and human oversight built in.
Agents and Now Assist reason over your knowledge, CMDB, and records — not the open internet — so answers stay accurate and relevant.
Working AI capabilities every two weeks. You see summarisation, then deflection, then agentic action go live incrementally.
Every skill and agent ships with policy controls, escalation paths, and human checkpoints — autonomy earned scenario by scenario.
Deflection, resolution time, adoption, and CSAT are tracked from day one — so AI value is proven, not assumed.
Every AI action is logged with model version and confidence via the AI Control Tower — provable governance for any reviewer.
Training and change management are built into delivery — so your teams trust and actually use the AI you deploy.
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
AI Agents are autonomous, goal-driven AI on the Now Platform. Unlike a copilot that only suggests, an agent reasons over a request, plans the steps, and takes action — across ServiceNow and connected systems — to resolve work end-to-end, within guardrails you define.
AI Agent Studio is ServiceNow's environment for designing, grounding, testing, and governing AI agents. It is where Ramisun defines each agent's goal, the tools and data it can use, and its boundaries — so agents are built deliberately rather than switched on blindly.
Every agent is bound by policy controls, approval checkpoints for high-stakes actions, and escalation paths to humans. Agents earn autonomy incrementally — recommendations first, supervised actions next, full autonomy only for scenarios that have proven reliable — and every action is logged in the AI Control Tower.
Yes. Through IntegrationHub and APIs, agents can read and act across ERP, CRM, identity, and monitoring systems — so resolution isn't limited to what lives inside ServiceNow.
We start with high-volume, well-understood, lower-risk scenarios — access resets, common request fulfilment, routine incident resolution. These prove value quickly and safely, then we expand agent autonomy into more complex workflows.
Now Assist assists a human within a person-driven workflow (summarise, draft, answer). AI Agents act autonomously to complete work. They're complementary — most clients deploy Now Assist first, then introduce agents for the routine work that can be safely automated.
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.
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