MTP rolled out Gemini Enterprise across its teams by setting up shared prompt libraries and running internal workshops. This allowed both junior and senior engineers to easily adopt the technology into their daily schedules. To keep operations cost effective, MTP used Gemini Enterprise Agent Platform to build a model routing system, automatically directing everyday queries to Gemini Flash to keep latency low, and switching to Gemini Pro to solve advanced programming logic.

MTP relies heavily on fast, accurate research to keep its clients’ software secure and compliant. Previously, when a client needed to verify that its system met complex international safety standards, MTP analysts had to spend days manually scouring extensive technical documents and cybersecurity papers. Today, the team uses the no-code Agent Designer in Gemini Enterprise to easily build custom research agents, alongside pre-built agents, such as Deep Research. Instead of spending a week manually tracking down trending cybersecurity tools or indexing document titles, engineers can get a comprehensive, cited report in less than an hour.

At the same time, MTP connects these AI tools directly to the company’s internal SharePoint databases where compliance manuals live. This means analysts can ask a question in plain English and instantly verify if a client’s software aligns with complex regulatory frameworks, allowing them to deliver critical safety sign-offs and validation reports to customers on tight deployment deadlines.

MTP also uses Gemini models to simplify software validation workflows. The AI helps engineers write clear, unambiguous functional requirements that outline what an application must do. It also automates elements of Function Point Analysis—an international standard method that measures software size and development costs. Automating these calculations helps MTP deliver precise project estimates and robust testing scripts to clients in a fraction of the time.

Because MTP works with highly confidential software for banks and public administrations, data protection is essential. The company deploys its AI models through Gemini Enterprise Agent Platform on European endpoints to maintain strict GDPR compliance. This ensures sensitive client data remains completely isolated and is never used to train public models. MTP also uses Model Armor to add an extra layer of defense, actively blocking prompt injections and preventing sensitive information from leaking.

“Data privacy and security are primary concerns for our clients in heavily regulated sectors like banking and insurance,” explains Luis Redondo Lopez, director of innovation at MTP. “Gemini Enterprise gives us a trusted environment where we can confidently innovate with AI, knowing that sensitive client records remain completely protected.”

With Gemini Enterprise, MTP has removed significant operational bottlenecks. Employees now save an average of two hours every day, allowing them to shift away from repetitive data entry. Technical research that once took six hours now takes just two, and teams have cut the time spent hunting through long compliance standards by 40% with Gemini Notebook. Additionally, the team can draft software explanations and documentation 35% faster by using Gemini to generate high-quality first drafts that they can quickly review.