AI Incident & Ticket Orchestration
Sits above ServiceNow, Jira, PagerDuty and Datadog. Dedupes the noise, triages what matters, finds root cause against recent commits and deploys, and prepares the fix with a human in the loop.
ANVELIT
Intelligent · Secure · Scalable
Less noise. More control. One AI platform for operations - sitting above the tools you already run.
Built on agents, not bolted on
Works with what you already run
Approvals where they matter
RBAC, isolation, audit trails
Every team bought a tool. None of them talk. Context lives in tickets, inboxes, documents and people’s heads - and the work falls through the gaps between them.
Specialised surfaces on a shared intelligence layer - so every workflow learns from every other.
Sits above ServiceNow, Jira, PagerDuty and Datadog. Dedupes the noise, triages what matters, finds root cause against recent commits and deploys, and prepares the fix with a human in the loop.
Record any workflow on screen, by voice or on a phone camera. Trace writes the SOP, converts it into an agent that can run it, and updates the SOP when real behaviour drifts.
Upload a policy, an SOP, or connect your Orchastrix incident history. Mirror generates immersive practice scenarios against AI characters - in a browser, by voice or text, with no headset.
CareFlow, DocAI and RevenueAI - intelligent workers for clinical operations, documentation and revenue processes on the same platform as the rest of Anvelit.
Agents that understand, reason, use tools and act inside real workflows - with scoped permissions, approval gates and a full execution trail.
Supporting engineering, operations and enablement teams across every workflow.
More time building. Less time triaging.
Eight noisy child alerts collapse into one parent incident with reasoning attached. Past fixes surface before investigation begins, and work notes arrive drafted.
Documentation that stays true.
Trace captures how the work is actually done, turns it into a living SOP, and flags the SOP the moment reality drifts away from it.
Training people remember.
Mirror builds practice scenarios from your own playbooks and incident history, then scores accuracy, empathy, compliance and resolution quality.
If a customer cannot point to a number that improved because of us, we have failed. These are economics from our business model - not invented testimonials.
“A mid-sized team of 30 to 50 engineers receives 200 to 800 alerts per week, and 60 to 80 percent of them are noise.”
“60 to 80 percent of resolution time is detective work: what changed, who deployed, has this happened before.”
“Against a subscription of 42,000 to 144,000 AUD per year, the customer sees a 3x to 10x return.”
ANVELIT is an overlay, not a replacement. Buying it requires ripping nothing out - we sit above ServiceNow, Jira, PagerDuty, Datadog and the rest of your stack.
Designed around how operations teams actually work, not generic AI use cases.
Designed around real incident, documentation and training workflows - not generic AI use cases.
Built and refined with input from engineers, operations leads and the people who carry the pager.
Vertical depth built with domain partners such as Meetara Labs in healthcare technology.
Every prompt is regression-tested against frozen sets of 200+ historical scenarios before any change ships.
Roughly 70% of the engineering effort for Orchastrix produces components that Trace, Mirror, Health and AgentOS reuse without modification.
Universal multi-tenant front door for operational signals. Raw payloads stored for audit and debugging.
Prompts as code: version-controlled, PR-reviewed, regression-tested against 200+ frozen scenarios.
Real actions on real systems with tiered authority. High-risk waits for one-click approval.
Where the flywheel lives. An Orchastrix resolution becomes a Trace SOP draft automatically.
Anvelit is not a bundle of products. It is a single AI-native platform with a shared data layer, a shared API surface and a shared agent runtime - with specialised surfaces on top for operations, knowledge, simulation and healthcare.
Shared data layer · Shared API · Shared agent runtime
Four stages, running continuously. Every loop leaves the system knowing more than it did on the last one.
This is the part that compounds. Understanding feeds training, training feeds action, action writes knowledge back - and AgentOS makes every product smarter. Healthcare plugs into the same loop.
A simple three-step process. No slides, no long sales cycle.
A short conversation about your team, your stack, where the pressure is, and what to solve first.
A hands-on demo environment with realistic industry data. You click around yourself. Eight to twelve minutes - no decks.
A 90-day pilot with a written end date, a pre-agreed conversion price, and a named executive sponsor on your side.
See how ANVELIT helps operations teams resolve incidents faster, keep documentation alive, train people on their own reality, and run AI workers inside healthcare and enterprise workflows.