The AI Operating System for Managed IT and Business Operations
AI Customer Support
Resolve faster. Support smarter. Retain more customers.
A premium autonomous support command centre that unifies conversations, tickets, customer identity, knowledge, AI troubleshooting, incident detection, human escalation, quality assurance and revenue retention.
Tickets today
428
38% deflected before a ticket was opened.
AI resolution rate
71%
Evidence-confirmed autonomous resolutions.
First response
42s
Median across chat, email and portal.
Avg resolution
2h 18m
Down 29% versus the prior 30 days.
First contact resolution
64%
Up 11 points after knowledge refresh.
Escalation rate
16%
High-value and security cases routed early.
CSAT
4.7/5
AI and human survey blend.
SLA compliance
96.4%
7 cases need owner action in 30 minutes.
Cost / resolution
£2.81
AI-resolved cases average £0.34.
Tickets / agent
24
Balanced by skills and language routing.
Churn risk
18
Accounts with repeated negative support signals.
Revenue protected
£186k
Renewals, refunds prevented and saves assisted.
Support command centre
Real-time ticket, conversation, SLA, escalation and incident load.
Open tickets
4
LiveTickets waiting
1
LiveAI resolved
304
LiveHuman escalations
29
LiveSLA breaches
1
RiskUrgent cases
7
WatchNegative sentiment
18
WatchCritical incidents
1
RiskActive AI chats
54
LiveActive humans
11
LiveOperational alerts
12 customers are reporting checkout failures.
AI signalClustered from website chat, email and portal tickets in the last 37 minutes.
Enterprise customer ABC Ltd has 3 unresolved priority tickets.
AI signalAccount value £94k ARR; account manager and enterprise queue notified.
AI confidence dropped below threshold for billing questions.
AI signalRefund-policy retrieval confidence is 61%; article review draft is ready.
Shipping-related complaints increased 38% today.
AI signalProactive delay message recommended for 214 affected customers.
Omnichannel coverage
All channels normalise into one customer timeline.
Intelligent ticket system
AI-triaged cases with channel, SLA, sentiment and churn context.
| Ticket | Customer | Priority | Status | SLA | Risk |
|---|---|---|---|---|---|
SUP-10482 Checkout fails after payment authentication | Sarah Williams ABC Ltd | Critical S1 | Escalated | At risk | AngryCritical churn |
SUP-10476 Microsoft 365 sync stopped overnight | Daniel Okafor Northstar Logistics | Urgent S2 | Waiting on Internal Team | On track | FrustratedHigh churn |
SUP-10461 Request return for damaged hardware | Priya Shah Helio Retail | High S3 | Pending | On track | ConfusedMedium churn |
SUP-10440 Export audit logs for regulator | Marcus Lee Calder Finance | High S2 | Open | Breached | CriticalHigh churn |