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Software vendors raise prices due to AI modules, often based on the same language models. This leads to higher costs and fragmentation. Cross-application AI platforms offer a cheaper, smarter and more future-proof alternative that consolidates functions and centrally secures knowledge.
Many organizations want to get started with AI, but find starting difficult due to questions about data, cost, risk and value. This article shows how to make AI your own: start at work, create frameworks, build trust with transparency and human review, and take privacy seriously. Small steps make AI practical, reliable and more meaningful.
Services-as-Software (SaS), a term coined by Phil Fersht of HFS Research, is the shift from people-heavy projects and static software to AI-driven, outcome-focused services delivered like software. SaS is projected to become a $1.5T market by 2035 as software and services converge, reshaping how IT/BPO providers and advisory firms deliver value. It creates existential risk for "hours factories," but also the biggest growth opportunity in a generation for firms that productize their expertise, embrace agentic AI, and move to scalable, subscription and outcome-based models.
The Exact SME Barometer 2025 shows: AI already offers opportunities today. Not as a big project, but as smart help in daily processes. This is the time to start small and discover what AI can do for your business day - practical, tangible and with immediate impact.
AI is a tool, not an all-rounder. The real value comes from consciously choosing which AI model to use for which task. Each model has its own power - so choosing is not a luxury, but essential for effective use. Augmentic_OS supports that choice and helps make AI really work for you.
AI does not change work by itself. It reinforces existing structures - unless we actively choose transparency, inclusion and meaning. The UN report makes clear: Without vision, inequality grows. With the right choices, AI can strengthen work rather than displace it. It is not the technology itself but our direction that determines the outcome.
AI transformation is not a technology project but requires interdisciplinary collaboration. The Augmentic HR Framework and AI Roadmap provide practical guidance for transformation teams (IT, Operations, Business, HR) to successfully integrate AI agents. Focus on people, start small, and treat AI agents as new teammates.
AI is fundamentally changing work. Organizations must take the lead now to deploy technology consciously and human-centered. This requires redesigning processes, strengthening leadership and clear governance. Only then will work remain meaningful and future-proof in a world where AI is taking over more and more tasks.
AI is dramatically changing the work landscape. According to the IBM report "Orchestrating Agentic AI for Intelligent Business Operations," organizations expect AI agents to independently optimize processes and execute workflows by 2027. Yet only 53% of organizations have actually started using AI. The report emphasizes that technology alone is not enough; it requires a control model with clear structure, ownership and governance. Organizations must now make choices to integrate AI effectively and responsibly, focusing on human capabilities such as critical thinking and decision-making. Without direction and transparent governance, deploying AI may create risks rather than opportunities.
AI becomes truly valuable only when deployed with specific context and expertise. Generic applications provide limited benefits, while specialized AI agents tailored to specific domains and tasks actually contribute to transformation and quality. Integrating AI as a digital peer within existing processes creates room for more efficient and meaningful work.
