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Learn how to write a practical debt collection script for real calls, with examples, responses to objections, and tips for better results.

According to Deloitte, 79% of organizations expect generative AI to transform their businesses over the next three years. Even so, the main challenge is turning that expectation into measurable value. To achieve this, the technology needs to be applied to specific processes, with clear goals, defined owners, and metrics that make it possible to evaluate its real impact.

Getting someone to answer a sales call is becoming increasingly difficult. Outbound calls compete with the daily flood of messages, distrust of unknown numbers, spam filters, and new rules that require companies to rethink how outbound campaigns are run.

Discover which debt collection strategies to use at each stage of overdue debt and how to combine AI agents and human teams to recover outstanding debt faster.

Customer satisfaction surveys have been helping businesses listen to customers for years. However, while a score helps, it rarely tells the whole story. A customer can give you a 9, a 6, or a 2 and still leave many questions unanswered: why they responded that way and what you should do with that information. That is why the key is to understand what you want to measure, when it makes sense to ask, and what you will do with the response afterward.

An AI agent without integrations can answer questions, but it often cannot complete the task. It can explain how to reschedule an appointment or describe a return policy, but it cannot connect to the system, review the actual case, or take an action within established limits. That is the role of AI agent integration with business systems.

A general-purpose AI chat can answer questions, summarize information, or help with specific tasks. In a business, however, more is often needed: handling inquiries, qualifying leads, confirming appointments, managing orders, checking balances, creating tickets, or transferring cases with context. For this, a more advanced type of AI agent is needed: custom AI agents, which can adapt to the objective of each process, with its rules and operating approach, while also working with specific data and systems such as the CRM or the contact center.

In an online store, a customer may abandon a purchase for reasons as simple as questions about shipping, trouble applying a discount, or not having enough information to choose between two products. If the answer comes too late, it is easy for the process to stall. In this context, online chat for ecommerce helps provide an answer at exactly that moment, while the customer is browsing, comparing, or about to buy.

WhatsApp has become a common channel for handling inquiries, managing orders, confirming appointments, or having sales conversations.

Voice is one of the most useful channels for handling sensitive, urgent, or high-value requests.

Discover how to use AI in tourism to improve customer service, manage bookings, increase conversion, and support travelers with AI agents.

What the 400 prefix means for marketing calls and how to prepare phone numbers, outbound campaigns, and contact center channels.

Learn what WhatsApp usernames are, how they may affect your processes, and what your business should review to prepare.

Discover how to set limits for autonomous AI agents, define action-based permissions, and control their autonomy in business processes.

Ley Dejen de Fregar 2023: what Law 2300 says in Colombia, permitted contact hours, contact limits, and how to comply in debt collection operations.

What if AI did not just assist your agents but made autonomous decisions? Discover Agentic AI and how it is revolutionizing CX management.

What Is a multi-agent system? Discover how it works in practice to transform complete business processes

There is already a lot of content about ISO 42001, but most of it sounds the same.

Have you ever considered how many times a customer abandons a conversation because they do not find an answer?

What are the differences between AI agents and bots (chatbots and voicebots) in contact centers? Learn how each one improves your CX.

Discover the certifications and standards that ensure the security and reliability of our AI and CX technology solutions.

Have you ever had an issue drag on over WhatsApp and thought, “A quick call would solve this in two minutes”? That is exactly what WhatsApp Business Calling is designed for.

Discover what omnichannel blending is, how it differs from traditional blending, and how to reduce idle time and improve SLAs in CX.

Discover what an insurance CRM must include to better attract, serve, and retain. Scale acquisition and support without losing traceability.

What the Spanish SAC Law (Customer Service) requires in the contact center: times, human service, and traceability. Checklist and action plan.

Optimize inbound and outbound call center operations to improve SLA and conversion. Scale with AI, omnichannel tools, and unified data.

Implement AI agents on WhatsApp with Inagent. Combine automation and human handover with context, control, and metrics.

Discover key debt collection KPIs for contact centers. Move from measuring calls to optimizing recovery with advanced analytics.

Learn how to optimize healthcare customer service through omnichannel strategies, appointment automation, and AI agents.

AI security guide for deploying AI agents in CX: learn about the risks and how Inagent reduces them with guardrails, auditing, and a secure cloud.

Accelerate recoveries with this step-by-step guide to automating collections with AI, digital channels, and an omnichannel contact center.

2026 is shaping up to be a turning point for the customer experience. Following a 2025...

Improve your student recruitment strategy with CX technology: AI agents, automation, and multichannel campaigns for educational institutions.

Improve customer experience in auto shops and dealerships with online booking: faster service, fewer calls, and fully digital management.

Not everything sold as an AI agent really is one… here’s how to choose wisely and avoid surprises.

Creating AI agents is more complex than you think. Beyond LLMs, factors like security, integration, scalability, and CX come into play.

Not so long ago, phone campaigns relied on agents dialing number by number, waiting for a tone...

Integrating marketing and sales is key to an effective strategy. Discover how to achieve it with aligned processes and unified technology.