← All customer support

100% ticket coverage

40-60 hours of analysis. Now 2 minutes.

400+ tickets per month and no visibility into patterns. We analyze 100% of tickets with PII redaction and deliver stakeholder-ready insights.

Where it breaks today

Manual analysis covers a sample. Patterns hide in the tickets nobody reads. Root causes go undiagnosed for months. You're sampling when you should be scanning everything

The fix

We analyze every ticket, redact PII, and surface the patterns that matter.

What we build

An agent is a stack.

01

Full-coverage ticket analysis

Process every ticket, not just a sample. Keyword categorization and pattern detection at scale.

  • 100% ticket coverage
  • Keyword-based categorization
  • Distribution validation
  • Impact estimation
Core
02

PII redaction and compliance

Automatic PII redaction before analysis. Compliance-ready from the start.

  • Automatic PII redaction
  • Compliance-ready processing
  • Stakeholder-ready reports
  • Root cause identification
Module

How it works

Export. Analyze. Act.

01

Export your tickets

Ticket data from Freshdesk or your ticketing system.

Step 1
02

AI analyzes everything

100% coverage with PII redaction. Patterns identified, root causes surfaced.

Step 2
03

Act on insights

Stakeholder-ready findings with impact estimates and recommended actions.

Step 3

What it delivers

Outcomes, in weeks.

40-60 hours → 2 minutes
100% ticket coverage
Automatic PII redaction

Before → After

Analysis time: 40-60 hours

2 minutes

Before → After

Coverage: Sample-based

100% of tickets

Before → After

PII compliance: Manual redaction

Automated protection

No lock-in

Built in your stack.

  • Programming Languages (Python, Node.js, or custom)
  • Support Platform (Freshdesk, Zendesk, or your system)
  • Runtime & Orchestration (Trinity by Ability AI)

Questions

Questions about ticket analysis

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?

Support directors typically save 40-60 hours per major analysis cycle. Most teams run this quarterly (160-240 hours/year = $20K-$35K at manager rates).

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.

Start here

Bring one workflow.

A 30-minute working call. We’ll map this workflow to an agent stack and tell you honestly whether it’s worth building.

Support data analysis

40-60 hrs → 2 minutes

Analyze 100% of tickets with PII redaction. Pattern detection and root cause insights in minutes.