1. Launch agents in minutes
Choose a model, connect the required apps, and ship your first agent into production without a platform migration.
Automate your IT help desk with AI agents that never sleep
Control what agents can access, choose when they need approval, control who can use them, and keep every action observable inside a secure sandbox.
Ramba AI agents integrate with
Choose a model, connect the required apps, and ship your first agent into production without a platform migration.
Route sensitive actions to human approvers, continue low-risk work automatically, and keep the execution path clear.
Choose which tools, integrations, and credentials each agent can use so automation stays inside defined boundaries.
Add request-level checks so risky prompts can be reviewed, blocked, or escalated before an agent starts working.
Limit who can trigger each agent, assign requester groups, and keep high-impact automations scoped to the right teams.
Automate the operational work your teams repeat every day, while keeping approvals, permissions, and execution under control.
Cut ticket volume, eliminate repetitive support work, and keep employees unblocked without adding headcount.
Handle password resets, access issues, and common troubleshooting automatically, and escalate only the requests that need a human.
Remove approval chasing, enforce who can approve what, and keep every access change traceable.
Standardize who can request and approve access, automate provisioning, and track every grant and revocation for audits.
Replace brittle workflows and manual handoffs with AI agents that investigate requests, take action, and escalate when needed.
Ramba works across Slack, Linear, Google Workspace, Okta, and other connected systems to complete operational requests with human review for sensitive actions.
Start with a guided launch, keep a clear operating base, and let spend grow with the amount of real request volume Ramba takes over.
A dedicated engineer works with your team to connect systems, define approval boundaries, and get the first agent handling real requests in production.
Covers hosting, support, operational tuning, and a clear point of contact as the agent becomes part of your internal operations stack.
Usage-based pricing increases as Ramba resolves more requests, keeping commercial spend tied to real operational throughput.
The questions most teams ask when they are deciding whether to deploy AI agents into real internal operations.
Ramba is not limited to a few scripted actions like password resets. It can investigate requests, gather context, use approved tools, take action across connected systems, and escalate only when human judgment or policy is needed. Teams usually start with IT help desk and then expand into access requests, onboarding, and other internal operations.