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Future Processing strengthens AI and cloud expertise with industry-recognised certifications
Future Processing strengthens AI and cloud expertise with industry-recognised certifications
Behind these certifications are measurable insights into how AI is used within the organisation itself. Future Processing’s internal research shows that 95.4% of employees actively use at least one AI tool, while 45.2% use AI every day. By comparison, according to Eurostat, 15.1% of Europeans use generative AI for work.
Anthropic’s certification process concludes with an examination comprising 34 scenario-based questions reflecting real decisions made during client implementations. Candidates must first complete eight courses and a final project, and their results can be publicly verified through the Credly platform. Members of the Claude Partner Network include Accenture, Cognizant, Deloitte, KPMG and PwC.
Future Processing also holds two validated AWS competencies in public cloud services. The AWS AI Services Competency is awarded following technical validation and evidence of successful client implementations that meet AWS standards for security, reliability and operational excellence. The AWS Cloud Operations Competency confirms an integrated approach to operating cloud environments and managing their costs.
The company is also an AWS Advanced Tier Services Partner and was named a finalist in the Rising Star Partner of the Year (SI) – EMEA category at the 2023 AWS Partner Awards. Future Processing continues to develop its cloud capabilities through partnerships with Microsoft and Google Cloud. Its working practices are further supported by management system certifications: ISO/IEC 27001:2022 for information security and ISO 9001:2015 for quality management.
Technology-provider certifications are first and foremost working tools for us, rather than branding exercises. Each one requires an examination, audit or technical validation based on real-world implementations, not simply a declaration, says Arkadiusz Dymek, Managing Director - Cloud Vertical at Future Processing.
A certificate alone proves very little unless it is backed by everyday practice. That is why, for the past two years, we have been measuring how AI actually works within our company and publishing the results. Clients choosing an AI implementation partner have every right to ask not only about credentials on paper, but also how many people use these tools in practice and what outcomes they achieve, he adds.
AI adoption rises sharply year on year
AI Maturity is an internal Future Processing study conducted in two waves. In June 2025, 446 people took part, followed by 480 in April 2026. Of these, 293 participated in both waves, making it possible to track changes within the same group.
Over the course of a year, the composite AI Adoption Index increased from 51.8 to 66.7 points on a 100-point scale. The proportion of daily AI users doubled from 22.4% to 45.2%, while the share of respondents who described themselves as AI enthusiasts or pioneers rose from 35% to 54%. At the same time, the proportion of sceptics fell from 5% to 2%.
Team-based AI use was the fastest-growing measure, increasing by 55%, from 34 to 52.7 points. This reflects the point at which AI stops being an individual shortcut and becomes part of how an entire team works.
Among the 325 respondents working in teams that deliver client projects, 312 actively use AI, with 47.7% using it every working day. Respondents report saving an average of 8.1 hours per week, while 93.5% verify AI-generated outputs instead of accepting them without review.
AI use alone is no longer a differentiator
These figures should be considered in a broader context: McKinsey’s The State of AI 2025 report found that 88% of companies worldwide use AI in at least one business function, yet only 1% consider their use of AI mature. Meanwhile, BCG’s September 2025 analysis of 1,250 companies, The Widening AI Value Gap, found that only 5% are generating value from AI at scale.
Simply using AI is therefore no longer enough to set an organisation apart. What makes the difference is the depth of adoption: making AI an everyday habit, embedding it in team practices and measuring its impact.