Automated customer service solutions

With chatbots hosted on customer websites or on WhatsApp to reach your customers,       that can even act as a multilingual employee.

The agents created by iAutomator use public data that has trained artificial intelligence models and also private data selected by the customer, including:

▪ Internal documents pdf, word, excel, sheets, databases, CRMs etc.
▪ Private data sources outside the company, free or paid
▪ Free data sources made available to you by public bodies

Our AI agents absorb all information like a sponge!

If none of these solutions entirely fit your use case we can adapt them,                                      we can also build bespoke solutions from scratch

Reactive Agent: Virtual receptionist

Don't lose a customer because they can't find what they're looking for on your website or because no one can answer

Our applications can:
▪ Pick up the phone, collect contact details and requests
▪ Respond to questions about products, services, schedules, product    availability or slots for meetings
▪ Ask questions to establish the eligibility of the lead

Proactive Agent: Virtual salesperson

Does the same as the virtual receptionist and is also proactive:

▪ Contacts customers by phone or email to show offers
▪ Quotes indicative prices, inform about availability and deadlines
▪ Connects with your CRM to carry out personalized promotions
▪ Connects to your calendar to set up meetings

Claims and Returns Manager

▪ Processing according to company policy, terms and conditions
▪ Answers customer questions and differentiates between customers after checking with your CRM
▪ Creates and sends labels to ease the returns process
▪ Collects feedback on reasons for returns
▪ Identifies and analyses patterns in the history of complaints and claims

The effectiveness of agents will depend on how comprehensive the information in the Knowledge Base is

Data analytics and knowledge management

One of your company's main assets is knowledge, but sometimes this knowledge gets buried.
For this reason, we develop agents that uncover and organize knowledge; these agents convert data internal and external to the company into information that provides answers, explains behaviors and predicts results.

Every day, SMEs can access more relevant external data through application programming interfaces or through Internet scraping. The combination of this external data with your own proprietary data can be very powerful.

Search engine for knowledge management

The chatbot answers specific questions by analysing hundreds of documents provided by you or your suppliers and by combining these with various sources of information including websites, documents, APIs or databases. Technical and complex information is not a problem for AI models such as GPT, Grok, Claude or Gemini
Very useful for those who work with many technical documents from various sources and which are difficult to process

Inventory Manager

▪ Management of entries/ outputs/ inventories/ locations
▪ Can identify and analyze patterns in customer behavior
▪ Can place orders automatically

Risk and Compliance Manager

▪ Can monitor reports and actions of regulatory bodies
▪ Can monitor customer risk scoring
▪ Anomalous transaction detection and alert

Operational optimization by artificial intelligence

We can automate countless operations, bureaucratic processes and repetitive tasks to increase productivity, reduce errors and improve decisions

Public data that trains AI models such as GPT, Claude or Grok is used, but the secret sauce comes from customized knowledge bases composed of proprietary data provided by the customer, semi-public data and paid data

Virtual assistant for employees

Answers frequently asked questions from employees about:
▪ Internal regulations and procedures
▪ Work instructions, techniques and tools
▪ Technical characteristics of products

The answers come from specific knowledge sources such as internal company documentation that can include manuals, databases, email boxes, presentations, etc. Data from these sources are processed with AI models such as GPT, Grok or Claude

Virtual Purchasing Manager

Can answer questions about purchasing processes including:

▪ ISO, FCPA, Sarbanes-Oxley compliance standards
▪ Compliance with internal company policies and regulations
▪ Can collect market prices for comparisons
▪ Can create requests for proposals and analyse said proposals
▪ Uses internal documentation and external data obtained from the websites                     of marketers, suppliers, reviews, etc.