Consulting companies are integrating machine learning and deep learning solutions within their service portfolio. Many of them are following an AI and automation first strategy: for every business problem they encounter, they look at how AI and automation can fix it.


Next, we list our solutions for Consulting and Professional Services enterprises.


  • Achieve competitive advantage.
  • Improve productivity.

In-house AI development

More and more companies are realizing the importance of having an AI strategy. At Prometeo, we can help build an AI roadmap and work with your company's Data Scientist and Engineers to help you implement machine learning and deep learning end-to-end systems.


  • Improve customer experience.
  • 24/7 support.
  • Reduce labor costs.


One of the main potentials of chatbots is their ease of use and that they’re platform agnostic. These digital assistants are able to send texts, images, audios, links and messages in real time as responses to queries from users. Bots can be used to improve customer service, help customer to make better decisions or automatize claim management.


  • Reduce errors.
  • Improve employee satisfaction.
  • Cost reduction.

Automatic Document Processing

Optical Character Recognition (OCR) technologies allow reading and processing of text from different sources. It can be used to manage invoices, process forms and scan documents. Other technologies within the Natural Language Processing (NLP) spectrum can help classify legal documents and control regulatory compliance.


  • Save personnel's time.
  • Optimize processes and workflows.
  • Improve company's resources understanding.

Knowledge Summarization

Knowledge management is one of the most difficult problems to solve in a company. With more and more data created each day, it is quite difficult to know what is happening inside the company and where to find old documents and resources. Intelligent knowledge summarization uses Natural Language Processing (NLP) techniques to perform intelligent searches across unstructured data. It can also be used to summarize documents, select the most meaningful sentences in an article and arrange them in a comprehensive manner.


  • Reduce human bias in financial models.
  • Improve planning accuracy.
  • Reduce costs.

Financial Forecasting

Currently, many financial forecasting and planning processes are manually intensive and suffer from inherent human biases. Machine Learning and Deep Learning are used to improve predictive (what will happen) and prescriptive (the best course of action) financial forecasting processes. Cash-flow forecasting, revenue forecasting, cost and expense planning, and balance-sheet planning are all areas of predictive financial analytics that will benefit from AI technologies.


  • Save personnel's time.
  • Improve efficiency in candidate assessment.
  • Reduce costs.

Smart Human Resource Management

AI is reinventing critical HR responsibilities, including operations, talent acquisition, and talent development. AI algorithms can reduce human bias, by removing skewed human perspectives in the decision-making process, improve the efficiency of candidate screening, by analyzing massive amounts of data very quickly to help HR professionals take the best decisions, or predicting the employee likelihood of leaving the company.

Do you have a use case for your industry that is not listed here? Send us an email to