Assist agents in the moment, deflect with smart self-service, and turn service data into insight — not a chatbot bolted on.
Explore all Vivantio AIThe biggest driver of service cost isn't complexity — it's repetition. Recurring incidents, persistent fulfilment friction, known issues that keep generating tickets. AI Optimize turns your service data into a continuous improvement engine, reducing tomorrow's demand at the source.
Works from the ticket data already in Vivantio — no separate data setup required.
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Most service teams are very good at resolving individual tickets. Very few have the time — or the tooling — to step back and ask why the same tickets keep appearing. The biggest cost drivers are the repeat patterns: recurring incidents that have a fixable root cause, fulfilment processes with friction no one has had the bandwidth to address, known issues accumulating in the backlog. Leaders want to reduce demand but can't see what's driving it. AI Optimize surfaces what's hidden in the noise.
AI Optimize works across your entire ticket history — spotting what individual review misses, and turning signal into targeted action.
AI Optimize works across thousands of tickets at once — identifying recurring clusters, seasonal demand patterns, services generating disproportionate volume, and emerging issue types before they compound. Issues that take weeks of manual analysis to find surface within seconds. Teams can act on what's building, not what has already peaked.
AI Optimize reads across ticket clusters and extracts the signal: what root causes appear repeatedly, which services are most affected, what resolution approaches actually worked, where the friction accumulates in fulfilment. Problem managers and service leads get a structured picture of what's driving demand — grounded in what happened, not what was reported in aggregate dashboards.
AI Optimize doesn't stop at analysis. It generates targeted recommendations: knowledge gaps that, if filled, would reduce a category of repeat tickets; workflow friction points that slow fulfilment; routing inefficiencies causing reassignment; automation opportunities grounded in actual ticket patterns. Leaders get a prioritised action list rather than a report to interpret.
AI Optimize connects the operational data in Vivantio to the tools your team uses for continuous improvement.
AI Optimize extends BI reporting — from showing what happened to identifying why and what to change.
AI Optimize feeds directly into ITIL Problem Management and Known-Error workflows with pattern evidence.
Explore AI Assist (first contact) and AI Enrich (agents) alongside Optimize on the full AI overview.
BI reporting shows what happened — volumes, SLA performance, agent workload. AI Optimize goes further: it works across thousands of tickets to detect patterns that aren't visible in aggregate charts, extracts root-cause signals, and generates targeted service improvement recommendations. It answers "what should we change" not just "what did we achieve."
AI Optimize is a direct input to Problem Management and Known-Error work. It identifies recurring incident patterns, surfaces common threads across high-volume ticket clusters, and flags impacted services and resolution themes. Problem managers get evidence-based inputs rather than spending time manually analysing ticket histories to find what to investigate.
Yes. AI Optimize works across the ticket data already in Vivantio — incidents, requests, change records and related history. It does not require a separate data setup or data warehouse; it surfaces insight from the operational data your team generates every day.
It means service leaders can ask questions in plain language — "what are the most common root causes this month?", "which services generated the most repeat incidents?", "where is the most time being lost in fulfilment?" — and receive direct answers grounded in real ticket data, without building a custom report.
We'll show you how AI Optimize surfaces patterns and recommendations from your type of service data — with a demo built around your team's improvement goals.