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indigitall AI
Discover How Omni AI Transforms Complex Data into Seamless Customer Journeys.
Powering millions of omnichannel interactions every single month.
indigitall Omni Agentic AI
AI Agents
01
AI That Feels Human
An intelligent, autonomous system that perceives its environment, reasons to make decisions, and executes proactive actions via the Model Context Protocol (MCP) to achieve specific business goals.
Multi-Agents
02
Agents That Take Action
Direct user inquiries to specialized bots or modules based on specific needs to resolve complex workflows efficiently
Contact Center
03
AI Assistant for Support Agents
Our AI assistants support human agents through conversation summaries, suggested responses, and seamless bot-to-human transfers to optimize customer service efficiency
indigitall Omni Predictive AI
Smart A/B Testing
01
Testing
AI-driven A/B testing ensures your campaigns are smart, reliable, and deliver maximum results.
Best Delivery Time
02
Delivery time
Automatically send at the time your customers are most likely to interact and convert, our best delivery time solution delivers.
Best Channel
03
Channel Delivery
Automatically send to the channels your customers are most likely to interact and convert, our best channel solution delivers.
Best Path
04
Full Journey Optimization
Drive customers on the customer journey path that produces the best results with indigitall best path optimization.
Discover the Best Keyword
05
Keywords
Finding the right words has never been easier. Best Keyword reporting helps you identify which words make the most impact on your audience.
Churn Rate Prediction
06
Churn rate
Stay ahead of unhappy customers and build loyalty that lasts. Churn rate prediction will help you identify at risk customers and help you win them back.
Customer Sentiment Analysis
07
Emotion analysis
Understand customer sentiments from WhatsApp Business Api conversations.
Coming soon
indigitall Omni Generative AI
Smart Assistant
01
Assistance
Let the Smart Assistant help you create your push campaigns! Test the effectiveness of your push campaigns before sending them. Our artificial intelligence predicts performance and gives you ideas on how to improve them.
ADVANTAGES
Advanced AI
Communication
Powered By Unified Data
Optimization
Predict the best time, channel, and content to engage users.
Creation
Generative AI to streamline the creation of campaigns.
Effective Communications
Messages are delivered via the most suitable platform for each audience.
Personalization
Tailor communications based on user behaviors, preferences, and profiles.
VALUE
Impact Your Growth With
indigitall AI Tools
How We Help
Each business is unique. There is no single path to success.
Create content on the fly with generative AI- Improve campaigns quickly and easily with machine learning
- Improve customer satisfaction and retention with chatbots
100%
satisfied customers using indigitall AI
64%
improvement in tool adoption rates
SUCCESS STORIES
Real Examples Of Real
Improvements
See more Success Stories
"indigitall improved our customers' experience with the development of a powerful WhatsApp bot. Since we put it into production, calls to our customer service have decreased, and customer satisfaction increased by implementing this new service channel. Their support always resolves issues that arise quickly and effectively."
20%
Reduction in Customer Service Operating Costs
“indigitall’s platform has helped us to build a custom solution to increase the satisfaction and LTV through Whatsapp.”
“The best thing about indigitall is the closeness; the person who talk to us are always there for what we need. The interface is very simple and user-friendly, which makes the work easier. It is a tool designed for the user.”
More about indigitall AI
What does an AI customer service agent resolve, and when does it hand off to a person?
An indigitall AI agent reasons, decides and acts.
Through the Model Context Protocol it connects to the company's other systems and gets things done inside the conversation, not just answers.
It can also transfer the conversation to a human agent, who picks it up on a computer or a phone. The number of human agents is configurable.
| Situation | What the AI agent does | What the human team gets |
|---|---|---|
| A booking | Handles it in the connected system | Nothing, if it is resolved in the conversation |
| A detail that changes in the CRM | Updates the record | The CRM, already updated |
| An interested lead | Captures the details or starts a customer journey | The lead in the journey or in the CRM |
| An issue | Creates a ticket | The ticket, with its context |
| Something that needs a person | Transfers the conversation | A summary of the conversation and a suggested reply the agent can send, edit or replace |
Rule-based bot, generative AI chatbot or AI agents: which one fits?
indigitall offers all three, and a routing bot can pass the conversation to a person, to another bot or to data from an API.
A rule-based bot follows a fixed tree and does not learn, which works when the answers are closed.
A generative chatbot answers from the content you give it and flags the questions it cannot answer.
An AI agent also takes action in your systems, and several agents can split the work.
| Type | How it answers | When it fits |
|---|---|---|
| Rule-based bot | Fixed if-then rules | Menus and closed processes |
| Generative AI chatbot | From its knowledge sources, flagging the questions it cannot answer | Many different questions about the same documentation |
| Hybrid bot | Generative AI combined with a DialogFlow bot | Guided flows with open questions |
| AI agent | Reasons and acts in other systems through MCP | Tasks such as bookings, tickets or CRM updates |
| Multiple agents with a supervisor | A supervisor agent routes each query and its context to the right specialized agent | Very different topics on the same channel |
How do you train an AI agent on your company's knowledge base?
indigitall's AI agents and generative chatbots answer from the knowledge sources each company defines.
The indigitall team handles the initial setup, and the company then manages and expands the content.
Answer quality depends on documentation quality:
- it should not contradict itself
- all of it should be in the same language
- the information should be in text, not inside images
| Source | How you add it | What to know |
|---|---|---|
| Documents | PDF or text files | Up to 50 MB per file; plain text works best |
| Web pages | A sitemap, a CSV list of URLs or URLs one by one | Each source has a refresh interval; the text must be in the HTML, not loaded by JavaScript |
| Data that changes during the day | Through an API or a database | URLs do not suit data that changes several times a day |
FAQs: indigitall's AI customer service agents
How does an indigitall AI agent avoid making up answers?
An indigitall AI agent answers only from the company's validated knowledge base. Every response passes through a security filter, and you can exclude URLs and pages when the content is loaded, cap usage per user and temporarily block anyone who misuses the bot. Questions the bot cannot answer show up in its reports as unanswered.
What happens to customer data when I use an indigitall AI agent?
The company decides which context, files and integrations the agent can see. To answer, indigitall sends that business context to the language model, and data used for training is not shared with public-facing AI applications. Data travels encrypted with TLS 1.2 or higher, is stored with AES-256, and the platform runs on Google Cloud.
How does indigitall's AI help human agents in the contact center?
When a human agent joins a conversation, indigitall's AI assistant shows a summary of the key points and a suggested reply, which the agent can send, edit or replace. It also links to internal sources so the agent can check the information, and those sources are never shown to the customer.
