2clix turns interactions into diagnosis, auto scoring, feedback and action plans — with AI agents that prioritize risks, speed up fixes and shorten the path between the problem detected and the failure resolved.
+250
customers LATAM and Europe
+200K
agents assessed
+2M
assessments per month
+10M
analyses processed
A new layer of value
Analyzes interactions, scores, tags, offenders and repeat offences to point out where quality is breaking.
Highlights interactions with the highest risk of churn, complaint, compliance breach, lost sale or poor experience.
Drafts feedback based on real evidence from the conversation, reducing subjectivity and speeding up fixes.
Turns recurring failures into tasks, owners, deadlines and progress tracking.
Helps leaders and evaluators spot diverging criteria and standardize the quality scale.
Detects objections, missed opportunities and approach patterns that affect conversion and loyalty.
From the pain to the action
This is how Agentic AI carries the operation from visibility to the fix.
Service failures stay invisible across thousands of interactions.
AI agents read interactions, scores and tags to point out where quality breaks.
Churn, compliance and lost-sale risks move to the top of the queue.
Feedback, action plans and calibration close the cycle with real evidence.
Human governance
2clix's proposal is not to let AI run loose in the operation. It is to provide speed, evidence and traceability so leaders make better decisions, with configured limits and human validation on critical actions.
Feedback, action plans and critical messages go through review before they are sent.
Approvals, adjustments and rejections feed back into better criteria and recommendations.
Every suggestion comes from evidence and can be tracked by owner, deadline and progress.
Why it matters
The operation gains visibility into recurring patterns, critical deviations and opportunities the manual model keeps invisible.
Leaders no longer wait for month-end to understand what is happening and steer the team.
Findings can be translated into impact on retention, reputation, conversion, training, product and experience.
Industries served
Monitoring of support, resolution, time, technical quality and experience.
Adherence, compliance, approach, negotiation and operational risk.
Control of experience, complaints, repeat offences and dissatisfaction patterns.
Objections, arguments, missed opportunities and commercial performance.
Risk detection, cancellation reasons and patterns that impact churn.
Governance, standardization, feedback, calibration and continuous improvement.
Before you ask
The promise is not swapping humans for AI, it is hybrid monitoring: AI to scale, humans to validate, calibrate and decide. AI comes in to find patterns, prioritize risks and suggest evidence — governance stays with the operation.
There are six agents, each with a clear role. The Diagnosis Agent points out where quality is breaking. The Prioritization Agent highlights interactions with the highest risk of churn, complaint, compliance breach or lost sale. The Feedback Agent drafts feedback based on real evidence from the conversation. The Action Plan Agent turns recurring failures into tasks, owners and deadlines. The Calibration Agent helps standardize the quality scale. The Sales and Retention Agent detects objections and missed opportunities.
Every suggestion comes from evidence and can be tracked by owner, deadline and progress. Feedback, action plans and critical messages go through review before they are sent, and the team's approvals, adjustments and rejections feed back into better criteria and recommendations.
Get to know 2clix's Agentic AI layer and see how your operation can correct service patterns with more speed, clarity and traceability.
