What if the AI makes a mistake?

We use 'Confidence Scoring.' If the AI isn't 95%+ sure of the resolution, it automatically routes the ticket to a human. We also provide a 30-second 'Undo' window and full audit logs for every action.

Does this replace my existing ticketing system (Zendesk/Salesforce)?

No. Our system sits on top of your existing stack, acting as an 'Autonomous Agent' within your current environment. It reads and writes directly to your ticketing platform.

How do you ensure the AI doesn't sound like a bot?

We use 'Human-in-the-Loop' training to calibrate the brand voice. Our LLMs are prompted to avoid cliches, vary sentence structure, and mirror the customer's level of formality.

Can it handle tickets in multiple languages?

Yes. Our models are natively multilingual and can resolve tickets in over 50 languages with native-level fluency.

Is this only for email tickets?

No. ATR can be applied to any asynchronous channel, including SMS, Web Forms, Social Media DMs, and WhatsApp.

Intelligent Customer Experience (CX)

Zero-Human Ticket Resolution At Scale without an Agent in the Loop

AI handles routine, high-volume ticket types from first contact to resolution, without a human agent in the loop, without wait times, and without compromising accuracy.

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Ending the 'Back-and-Forth' Loop

Intelegencia's AI-driven customer experience automation delivers intelligent classification, routing, and resolution of eligible ticket types end to end. Our customer interaction management handles password resets, order inquiries, FAQs, and common service requests without a human in the loop, with continuous containment-rate optimization that compounds month over month. Escalation intelligence identifies the exact moment a ticket requires human judgment and transfers with full context preserved, so customers never repeat themselves and your team focuses only on the interactions that truly need them.

The Old Way

Standard Ticketing

The Intelegencia Way

Intelegencia ATR

24-48 hour resolution

Instant <1 minute resolution

Generic template replies

Hyper-personalized action

High manual effort

Zero human touch for 70%

Frustrated escalations

High-confidence accuracy

Static knowledge base

Dynamic learning engine

Autonomous Action Engines

Our ATR agents don't just read; they do. By securely integrating with your CRM, billing systems, and ERP, the AI can perform actions like issuing store credit, tracking delayed shipments, or resetting enterprise-level permissions. Every action is governed by strict business logic and threshold controls, ensuring that the AI never exceeds its authority while providing maximum efficiency for standard queries.

Secure API Action Chains

Cross-System Logic Sync

Threshold-Based Authority

Audit-Logged Transactions

Automated Success Verification

Hyper-Personalized NLU

Generic templates are the enemy of CSAT. Our system uses Large Language Models to draft responses that incorporate the customer's specific history, current emotional tone, and specific problem details. The customer receives a response that feels tailored and empathetic, even though it was generated by an autonomous agent. This 'Human-Parity' writing style significantly reduces the urge for customers to escalate to a human.

Contextual History Mapping

Brand-Voice Calibration

Sentiment-Aware Drafts

Zero-Template Philosophy

Multi-Lingual Resolution

The Intelligent Triage Layer

Not every ticket should be automated. Our 'Triage Layer' uses high-confidence scoring to decide instantly whether a ticket is suitable for ATR or if it should be prioritized for a high-value human representative. Tickets involving complex legal issues, major account threats, or high-distress sentiment instantly bypass automation and are placed at the top of the senior agent's queue with a pre-written summary of the issue.

Confidence-Score Routing

High-Risk Sentiment Filter

Churn-Prediction Triage

Automatic Priority Lift

Agent 'Head-Start' Summaries

Automated Workflows

Resolution Categories

We provide out-of-the-box automation for the most common high-volume support categories.

Billing & Refund

Autonomous invoice lookups, refund processing, and plan changes.

Account Ops

Handling permission resets, profile updates, and MFA setup.

Logistics Care

Real-time shipment tracking and delivery issue resolution.

Technical FAQ

Providing context-aware documentation and step-by-step fix guides.

Self-Healing Knowledge Loops

When our ATR agents encounter a new type of query, they don't just fail. They flag the gap for a human expert to resolve once. The human's resolution is then used to 'teach' the AI, which can then handle all subsequent similar queries autonomously. This creates a 'Self-Healing' support operation that becomes more efficient and broader in scope every single day. Your support team transitions from answering tickets to 'Training the Intelligence' of the platform.

Auto-Gap Identification

Supervised Training Cycles

One-Touch Knowledge Prop

Recursive Model Refinement

Operational Insight Dashboards

The Path to Zero-Wait

Our ATR Implementation

We start by mining a year of tickets and end at autonomous go-live, hardening each high-volume query into a hands-off resolution.

Intent Mining

Analyzing 12 months of historical tickets to identify high-automation targets.

Workflow Scripting

Defining the secure API paths and logic chains for each intent.

Safety Triage

Setting the confidence thresholds and human-escalation triggers.

Shadow Training

The AI drafts responses in 'Read-Only' mode for human verification.

Autonomous Launch

Full go-live with real-time audit logs and performance tracking.

Measured Performance. Proven Growth.

Full Resolution

Resolution Time

Resolution Accuracy

Human Effort

Frequently Asked Questions
About Zero-Human Ticket Resolution At Scale

Here you will find answers to questions we get asked the most about our offerings.

Yes, provided the knowledge exists in your documentation or past ticket history. The AI can reason through multi-step diagnostic paths and provide tailored advice based on the user's specific environment.