Weekly QA Digest
Summarizes performance, risks, and key changes every Monday and sends the update to your team.
Weekly at 09:00Intryc AI
Autonomous AI for continuous QA
Intryc combines autonomous AI Agents with an on-demand AI Assistant to automate QA workflows. Agents keep QA running in the background, while your Assistant helps you investigate, understand, and act faster.
AI AgentsSearch pages⌘K
AI Agents
Configure agents that watch your QA workflow and act when something needs attention
Browse templatesNew agent
Weekly QA DigestActive
Summarises last week's QA into a dashboard update each Monday morning.
Permissions
Send Slack channel messageSend emailCreate coaching session
Triggers
Weekly at 09:00
Ran 18 days ago
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Low-score WatcherActive
Drafts a coaching note when an evaluation lands with a low score.
Permissions
Create coaching sessionCreate evaluation assignmentSend Slack DM
Triggers
Evaluation delivered
Ran 16 days ago
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Dispute Pre-screenerPaused
Summarises new disputes and flags weak rebuttals before review.
Permissions
Reply to disputeSend Slack DM
Triggers
Dispute filed
Ran 23 days ago
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Two ways to work with AI across QA.
Delegate ongoing work to AI Agents, or work directly with your AI Assistant when you need answers, recommendations, or action.
AI Agents
AI that worksindependently
Configure agents to monitor QA activity, respond to triggers, and carry out recurring workflows without waiting for someone to initiate every step.
- Run continuously or on a schedule
- Respond to events and performance changes
- Follow your rules and permissions
- Complete multi-step QA workflows
- Notify your team when attention is needed
AI Assistant
AI that worksalongside you
Ask questions in natural language, explore your QA data, receive recommendations, and turn decisions into completed actions without leaving the platform.
- Answer questions about your QA operation
- Analyze performance and emerging trends
- Explain what is driving an outcome
- Recommend the next best action
- Complete tasks after your review
AI Agents
Build agents for the work that never stops.
Intryc’s AI Agents continuously watch your QA operation and act when the right conditions are met. Choose what they monitor, what triggers them, and what they are allowed to do.
Monitor evaluations, scores, disputes, coaching, workload, and performance across the teams and channels you choose.
AI Agents/Low-Score WatcherActiveSave changes
Low-Score Watcher
Catch evaluations that land below standard and turn them into coaching while the interaction is still fresh.
Data sources
EvaluationsScorecardsCoachingDisputes
ScopeSupport L1 · Email, Chat, Voice
Trigger
EventEvaluation delivered, score below 70
ScheduleAlso sweep weekdays at 09:00
Permissions & actions
Create coaching sessionAssign evaluationSend Slack DM
1Group the affected evaluations by failed criterion
2Draft a coaching session for each reviewee
3Notify the team lead in Slack
Run history
Last 30 days · 22 runs
Today, 09:043 coaching sessions drafted
Yesterday, 09:021 coaching session drafted
Mon, 09:03No evaluations below threshold
Fri, 09:015 coaching sessions drafted
View full run log
AI Agents/Low-Score WatcherActiveSave changes
Low-Score Watcher
Catch evaluations that land below standard and turn them into coaching while the interaction is still fresh.
Data sources
EvaluationsScorecardsCoachingDisputes
ScopeSupport L1 · Email, Chat, Voice
Trigger
EventEvaluation delivered, score below 70
ScheduleAlso sweep weekdays at 09:00
Permissions & actions
Create coaching sessionAssign evaluationSend Slack DM
1Group the affected evaluations by failed criterion
2Draft a coaching session for each reviewee
3Notify the team lead in Slack
Run history
Last 30 days · 22 runs
Today, 09:043 coaching sessions drafted
Yesterday, 09:021 coaching session drafted
Mon, 09:03No evaluations below threshold
Fri, 09:015 coaching sessions drafted
View full run log
Template Library
Start from a template, then adapt it to your teams, scorecards, policies, and processes.
Low-Score Watcher
Detects low evaluations and drafts targeted coaching while the interaction is still fresh.
Evaluation deliveredDispute Pre-Screener
Reviews new disputes, summarizes the case, and flags weak or incomplete rebuttals.
Dispute filedCoaching Follow-Up
Checks whether assigned coaching was completed and whether performance improved afterward.
14 days after coachingCompliance Monitor
Watches for critical policy failures and routes high-risk interactions for immediate review.
Critical criterion failedEvaluation Coverage Agent
Tracks review coverage and assigns additional evaluations when teams or channels fall behind.
Coverage below targetAI Assistant
Your entire QA operation, ready for a conversation.
It understands your evaluations, scorecards, coaching, training, disputes, and performance data — ask a question, investigate an issue, or say what you want to accomplish.
01
Ask
Ask about performance, reviewees, evaluations, coaching, workload, disputes, or trends using everyday language.
“Who is most at risk this week?”
02
Understand
Get an answer grounded in your actual QA data, with the teams, criteria, evaluations, and trends behind it.
“Escalation handling is driving 64% of the decline.”
03
Act
Turn the answer into a scorecard, coaching session, assignment, report, or other action after a quick review.
“Create coaching for the affected reviewees.”
Good morning, Alex!
Monitor quality metrics, get actionable insights, and identify improvement areas
Jun 8 – Jul 8, 2026Add filter
Quality score-15.88%
38.26%Evaluations-349
175Coaching sessions+12
12Dispute rate+0.19%
0.57%Summary
Quality declined 15.9% this period. 11 reviewees (100%) struggling with Escalation, transfer, Internal Help. Support L1 most impacted.
Reviewees
Reviewees with performance less than 50%
One works in the background. One works beside you.
AI Agents keep your workflows running continuously. AI Assistant gives your team a direct way to explore, decide, and intervene. Together, they turn QA into a system that keeps moving even when no one is checking a dashboard.
- 01Agent
Detects
A Low-Score Watcher identifies a recurring issue involving refund explanations.
- 02Agent
Prepares
It groups the affected evaluations and drafts coaching recommendations.
- 03Assistant
Explains
A manager asks why refund scores are declining. The assistant explains the pattern and identifies who is affected.
- 04Human
Decides
The manager chooses to create a focused coaching program.
- 05Agent
Follows through
An agent assigns the coaching, monitors completion, and checks subsequent performance.
One work item: Refund explanations
- 01Agent
Detects
A Low-Score Watcher identifies a recurring issue involving refund explanations.
14 evaluations flagged
- 02Agent
Prepares
It groups the affected evaluations and drafts coaching recommendations.
Grouped · coaching drafted
- 03Assistant
Explains
A manager asks why refund scores are declining. The assistant explains the pattern and identifies who is affected.
5 reviewees affected
- 04Human
Decides
The manager chooses to create a focused coaching program.
Coaching program approved
- 05Agent
Follows through
An agent assigns the coaching, monitors completion, and checks subsequent performance.
Assigned · follow-up scheduled
Before and after
Transform your QA game with Intryc AI
See what shifts when agents take over the work that never stops, and your team can ask for the rest.
Before Intryc
With Intryc AI
Performance Review
Manual spreadsheets
An agent checks performance every week and flags any reviewer whose score drops. Ask the assistant why at any moment.
Conversation Sampling
A handful of tickets reviewed by hand
Every conversation is scored automatically against your rubric. Full coverage, or statistically significant sampling of the conversations that matter.
Coaching
Ad-hoc feedback, weeks after the fact
Agents surface coaching moments the instant they happen and draft the session; you review it before it goes out.
Investigating a drop
Hours of pivot tables, then a guess
Ask the assistant what changed. It answers from your real evaluations, names who is affected, and offers the next action.
Reporting
Stale, manually compiled dashboards
Recurring reports arrive on schedule, and anomalies are flagged before they escalate into problems.
Before Intryc
Manual spreadsheets
With Intryc AI
An agent checks performance every week and flags any reviewer whose score drops. Ask the assistant why at any moment.
“We’ve been able to 5x the volume of samples with 1% variance between auto QA and manual QA.
The Intryc team understands our particular scenario where we handle multiple accounts, multiple clients all over the world, multiple systems, and they’re able to adapt and adjust to it.”
Nestor AlvarezQuality Manager
