Find support quality problems before your customers do.
The AI QA Center continuously audits your support platform across 12 quality dimensions — scoring each module 0–100, ranking findings by severity, tracking trends over time, and producing executive PDF reports your stakeholders can actually read.
You find out about quality problems the worst possible way: from customers
Support quality decays quietly. A knowledge base article goes stale. A portal page breaks after a change. Branding drifts. Settings that made sense last quarter now confuse customers. None of it announces itself — until a frustrated customer runs into it.
Manual QA doesn't keep up. Nobody has time to systematically re-check every article, page, and configuration on a schedule, so audits happen sporadically — usually right after something embarrassing was discovered.
AI-powered quality assurance flips the discovery order: the platform audits itself continuously, scores what it finds, and hands your team a prioritized list — so fixes happen before complaints, not after.
How the AI QA Center works
The QA Center runs AI-powered audits across 12 modules of your support platform — from knowledge base content and portal experience to configuration and branding consistency. Each module receives a 0–100 quality score, so you see health at a glance instead of reading raw logs.
Every issue found becomes a tracked finding with a severity level, so your team works the queue top-down: critical problems first, cosmetic ones when there's time. Findings you've reviewed and deliberately accepted can be dismissed so they don't cloud the next audit.
Scores and finding counts are tracked over time, turning quality into a trend you can manage. And for stakeholders who will never open a dashboard, the QA Center generates executive PDF reports summarizing scores, trends, and top issues.
What you get
12-module quality audits
AI reviews twelve distinct areas of your platform, from content quality to portal experience and configuration.
0–100 scoring per module
Each module gets a clear numeric score, so 'how good is our support experience?' has a measurable answer.
Severity-ranked findings
Every issue is a tracked finding with a severity level — your team always knows what to fix first.
Trend tracking
Scores and finding counts over time show whether quality is improving, holding, or slipping.
Executive PDF reports
One click produces a polished report of scores, trends, and top issues for leadership and stakeholders.
Dismiss reviewed findings
Accepted trade-offs can be marked as reviewed so future audits highlight only what's genuinely new.
Why it matters for your business
Proactive, not reactive
Issues surface from audits instead of angry emails — you fix problems customers never see.
A prioritized to-do list, not a haystack
Severity levels turn 'lots of issues somewhere' into an ordered queue your team can actually work.
Quality becomes measurable
Numeric scores per module replace gut feel — and make improvement visible sprint over sprint.
Stakeholder-ready reporting
Executive PDFs answer 'how is support doing?' without anyone building a slide deck.
A competitive edge in trust
A platform that audits itself catches drift and decay that competitors only notice after churn.
From audit to improvement
AI audits the platform
The QA Center reviews all 12 modules of your support platform for quality issues.
Scores and findings land
Each module gets a 0–100 score; every issue becomes a finding with a severity level.
Team works the queue
Fix critical findings first, dismiss accepted trade-offs, and watch module scores climb.
Report to stakeholders
Generate an executive PDF showing scores, trends, and what's been resolved.
Use cases
Pre-launch quality checks
Audit the whole portal before a big launch or campaign sends new traffic to your support experience.
Ongoing quality monitoring
Keep a continuous pulse on content and portal health instead of waiting for annual review season.
Leadership reporting
Give executives a recurring, objective quality report without anyone assembling it by hand.
Agency client assurance
Agencies running support portals for clients can prove quality with scores and PDF reports per engagement.
Who this is for
- Support leaders who want to find problems before customers do
- Teams whose knowledge base and portal have grown too big to check by hand
- Managers who need objective quality numbers for leadership
- Agencies and operators running white-labeled portals for clients
Frequently asked questions
Related features
Customer Support Analytics
Ticket trends, deflection, article performance, and satisfaction — the numbers that run a support operation, built in.
AI Knowledge Base Software
Build, import, and maintain a searchable help center with AI assistance — and power an assistant that answers from it.
GoFast AutoLearn™
Every resolved ticket can propose knowledge base improvements — drafted by AI, approved by your administrators.
Put ai qa center to work in minutes
Every GoFastSUPPORT.ai plan starts with a free 14-day trial. No credit card commitment beyond the trial — cancel anytime.