BreachIntel helps Zendesk and Freshdesk support teams predict SLA risk, prioritise revenue-at-risk tickets, and automatically turn recurring support problems into reusable knowledge.
Built for mid-market teams of roughly 5–50 agents · Flat per-team pricing
Open tickets
212
At breach risk
27
Revenue at risk
£38,140
Clusters found
9
Payment verification failing
ZD-48213Cluster #12 · 7 ticketsFrustrated
at risk
£4,820
Login issue — EU customers
ZD-48197Cluster #04 · 4 ticketsTense
at risk
£1,920
Webhook retries timing out
FD-11902New pattern · 2 ticketsNeutral
at risk
£860
Invoice export formatting
FD-11875—Calm
at risk
£240
Revenue at risk · last 7 days
Sentiment trend
Breach alert
4 tickets projected to breach within 90 minutes. £7,410 revenue exposure.
delivery: dashboard · slack · email
Recurring issue cluster
Payment verification failures
7 tickets · 3 breaches · confirmed pattern
Knowledge approval queue
Draft: “Payment verification failures”
Internal known-issue + customer article · PII redacted · awaiting manager review
Staffing vs breaches by shift
Illustrative interface with sample figures only.
Traditional support analytics are retrospective. Managers often learn a ticket breached after the deadline has already passed. BreachIntel continuously evaluates open tickets, predicts which are likely to breach, and orders them by revenue at risk so intervention happens early.
The same problems get solved repeatedly while the resolution stays locked inside ticket history. BreachIntel detects recurring patterns and drafts both an internal known-issue record and a customer-facing article — reviewed by a human before publication.
“Don’t just resolve today’s ticket. Learn from it so tomorrow’s ticket can be resolved faster.”
BreachIntel began with a repeated operational observation: SLA breaches were found after the fact, and hard-won fixes disappeared into ticket history. The platform was designed to close both gaps for teams without dedicated engineering or knowledge-management resources.
Founder & Director
Support operations + domain expertise
CTO
AI/ML + technical product development
Domain expertise + AI/ML engineering
BreachIntel is not a chatbot or a generic AI assistant. It sits alongside your existing helpdesk and turns ticket activity into breach forecasts, prioritised risk and reusable knowledge.
Open tickets are continuously scored for SLA breach probability, giving managers an early-warning window. Tickets can be prioritised by revenue at risk so the most commercially important cases surface first.
“Know which tickets are most likely to breach before they actually do.”
Historical and active tickets are analysed to identify recurring problems and probable root causes. Similar tickets are grouped so patterns become visible while they are still small.
“Spot recurring problems before they become support spikes.”
Conversation tone and sentiment are analysed across support threads to highlight escalation risk, helping managers identify which conversations may need intervention.
“Detect escalation risk before frustration becomes a formal complaint.”
When a recurring breach pattern is confirmed across three or more tickets, BreachIntel drafts an internal known-issue record and a customer-facing article. Drafting is triggered by the detected pattern, and every draft enters an approval workflow.
“Turn recurring support problems into reusable knowledge automatically.”
Personally identifiable information is structurally removed before ticket content reaches the AI processing layer. This is an architectural control in the pipeline rather than an optional setting.
“Protect sensitive customer information before AI processing.”
SLA performance is correlated with staffing and shift coverage so support leaders can see whether coverage gaps are contributing to breaches.
“Understand how staffing and shift coverage affect SLA performance.”
Open tickets
212
At breach risk
27
Revenue at risk
£38,140
Clusters found
9
Payment verification failing
ZD-48213Cluster #12 · 7 ticketsFrustrated
at risk
£4,820
Login issue — EU customers
ZD-48197Cluster #04 · 4 ticketsTense
at risk
£1,920
Webhook retries timing out
FD-11902New pattern · 2 ticketsNeutral
at risk
£860
Invoice export formatting
FD-11875—Calm
at risk
£240
Revenue at risk · last 7 days
Sentiment trend
Breach alert
4 tickets projected to breach within 90 minutes. £7,410 revenue exposure.
delivery: dashboard · slack · email
Recurring issue cluster
Payment verification failures
7 tickets · 3 breaches · confirmed pattern
Knowledge approval queue
Draft: “Payment verification failures”
Internal known-issue + customer article · PII redacted · awaiting manager review
Staffing vs breaches by shift
Illustrative interface with sample figures only.
A four-layer architecture that connects to existing helpdesks, analyses activity, and delivers intelligence where support teams already work.
Staged rollout. Planned and roadmap capabilities are not presented as current functionality.
Longer-term exploration includes additional helpdesk integrations, workforce forecasting, multilingual knowledge generation and anonymised cross-customer benchmarking.
A continuous loop. Every resolved issue makes the next one faster to handle.
Connect BreachIntel to your existing Zendesk or Freshdesk environment. Designed around OAuth-based installation, with no major data migration.
Relevant support-ticket and SLA information is synchronised into the platform.
Intelligence engines continuously evaluate breach probability, revenue at risk, recurring issues, sentiment, escalation risk and staffing relationships.
Tickets and issues that need attention are surfaced, ordered by likelihood of breach and commercial risk.
Insights are delivered through the BreachIntel dashboard, a helpdesk sidebar widget, Slack and email.
Confirmed recurring issues become internal known-issue records and customer-facing articles, with PII removed before AI processing.
A support manager reviews and approves generated knowledge before anything is published.
The organisation keeps learning from its ticket history and recurring issues — the loop restarts at Connect.
BreachIntel uses predictable flat team-based pricing.
£149/team/month
Flat per-team pricing. The price does not change with the number of agents in the team.
One team. One predictable price.
£299/team/month
Flat per-team pricing. The price does not change with the number of agents in the team.
One team. One predictable price.
£599/team/month
Flat per-team pricing. The price does not change with the number of agents in the team.
One team. One predictable price.
Pricing is per team, regardless of agent headcount.
Indicative business-plan benchmark for a 20-agent team.
The business plan estimates approximately 63% savings versus a comparable Klaus setup for this example team size, while also adding breach forecasting and automated knowledge capture. This is an indicative comparison, not a universal guarantee.
Separately from subscription pricing, the business model includes an implementation service at £3,000 per customer, alongside professional services and add-ons. This is not part of the subscription plans above.
Share a few details and we will follow up with pilot scoping for your support organisation.