EXCERPT
Based on insights from 600 senior business and IT leaders globally, GBTEC's research exposes a stark reality: only 48% of organisations have processes sufficiently structured, integrated and governed to support advanced AI use cases. And 87% of senior leaders agree that without clear, accountable processes, AI initiatives will deliver limited value. This whitepaper equips CIOs and IT leaders with a pragmatic framework to honestly assess process maturity, close governance gaps and build the operational foundations that AI actually requires. Here's a preview of what you'll discover:
Finding 1: Digital maturity comes before AI readiness
Higher digital maturity directly enables AI integration. Organisations that have invested in automation, data governance and agile operations consistently outperform peers when implementing AI – because the foundational infrastructure is already in place. The whitepaper reveals how digital maturity models can expose the critical gaps you may not yet know you even have.
Finding 2: Successful AI transformation goes far beyond technology
The barriers to AI adoption are rarely technological. Gaps in data preparedness, unclear ownership structures and insufficient change management are the real culprits. AI transformation demands the alignment of people, processes and data foundations – and organisations with stronger process governance report significantly higher confidence in scaling AI initiatives effectively.
Finding 3: AI augments human expertise – it doesn't replace it
The most effective AI deployments enhance decision-making, foster collaboration and free up human capital for strategic work. By automating routine tasks and generating real-time insights, AI helps employees focus where it matters most – improving both productivity and job satisfaction.
Finding 4: Process excellence is the foundation of AI-driven growth
Clear, transparent and governable processes are non-negotiable for sustainable AI adoption. Where processes are undocumented, inconsistent or fragmented, AI amplifies existing inefficiencies rather than resolving them. Discover how end-to-end process visibility creates the reliable data foundations and controlled automation that AI depends on.
Finding 5: Holistic BPM solutions unlock seamless AI integration
A comprehensive Business Process Management (BPM) platform acts as the central nervous system of an AI-ready organisation – unifying BPM, Robotic Process Automation (RPA), Process Mining and AI into a single ecosystem. This integration prevents data silos, ensures consistency across distributed environments and provides a single source of truth for process execution.
What you'll get from this whitepaper
- A CIO's framework for assessing process governance, integration readiness and compliance maturity in distributed IT environments
- Data-backed insights from 600 senior business and IT leaders on the state of AI and process readiness
- A six-step pragmatic roadmap for CIOs to move from assessment to action
- Guidance on how GBTEC's AI Readiness Benchmark provides a rapid, objective score across six key dimensions
- Practical advice on prioritising process optimisation, data governance and cultural readiness before scaling AI
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