Solution · Customer support
Every ticket analyzed. Patterns surfaced.
Hundreds of tickets a month and no view of the patterns. We analyze every ticket with PII redaction and deliver stakeholder-ready insights.
Delivers
- Analysis in minutes, not weeks
- Every ticket covered
- Automatic PII redaction
Where it breaks
You're sampling when you should be scanning everything
Manual analysis covers a sample. Patterns hide in the tickets nobody reads. Root causes go undiagnosed for months.
The fix
We analyze every ticket, redact PII, and surface the patterns that matter.
- Analysis time: Weeks of manual reviewMinutes
- Coverage: Sample-basedEvery ticket
- PII compliance: Manual redactionAutomated protection
What we build
An agent is a stack.
2 capabilities working as one, built in your customer support stack.
- Every ticket covered
- Keyword-based categorization
- Distribution validation
- Impact estimation
- Automatic PII redaction
- Compliance-ready processing
- Stakeholder-ready reports
- Root cause identification
How it works
Export. Analyze. Act.
- Step 01Export your ticketsTicket data from Freshdesk or your ticketing system.
- Step 02AI analyzes everythingFull coverage with PII redaction. Patterns identified, root causes surfaced.
- Step 03Act on insightsStakeholder-ready findings with impact estimates and recommended actions.
Under the hood
Plugs into your stack.
Support data analysis works inside the tools your team already uses, on infrastructure you own.
- Programming Languages (Python, Node.js, or custom)
- Support Platform (Freshdesk, Zendesk, or your system)
- Runtime & Orchestration (Trinity by Ability AI)
Agents in Customer support
Ready-made agents for this department.
Questions
Before you ask.
How does PII redaction work?
Automatic detection and redaction of names, emails, phone numbers, addresses, and credit card info before analysis. Compliance-ready from day one.
What insights does it provide?
Pattern detection (common issues, categories, trends), root cause identification, impact estimation, and stakeholder-ready recommendations for action.
What results should we expect?
A full analysis on demand instead of a quarterly project, so root causes are found while they can still be fixed.
What ticketing systems work?
Freshdesk, Zendesk, Intercom, and most ticketing systems that can export ticket data via API or CSV.
Do we own the system?
Yes. You own the system. We build the infrastructure in your stack, hand over the keys, and you own it forever - no vendor lock-in.
Next step
Want this in your company?
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