Everyone wants to do something with AI, but very few organizations are achieving results. Despite an estimated $30-40 billion being invested in generative AI worldwide, a recent study from MIT found that 95% of projects fail to deliver value. We also found that 74% of companies struggle to scale AI beyond pilots, and 30% have abandoned proofs of concept altogether. MIT called it the “GenAI divide,” Forbes reports.
Efforts aimed at improving business performance often remain stagnant due to a lack of coordination. Many organizations are testing generative AI tools like ChatGPT and Copilot without a clear strategy for how to connect these tools to their business goals. result? Pilots are fragmented, implementation is limited, and there is little measurable ROI.
That's the “paradox of AI adoption” that Inetum, a European digital services provider with operations in 19 countries, is solving with COBORG™. Inetum is positioned to support a more collaborative approach to AI development, leveraging its long-standing focus on data and AI and third-party evaluation of its capabilities. The Cognitive Brain of Your Organization (COBORG™) is a unique, unified AI framework designed to help companies go beyond ambition and create real-world impact.
Reasons why AI implementation is stagnant
Enterprise AI deployments don’t fail due to a lack of technology. The challenge lies in the lack of structure. Several recurring issues prevent the project from scaling up. They include:
- Hallucinations and trust issues. AI models can produce convincing but inaccurate results, undermining trust and increasing compliance risk.
- The role of humans is unclear. When AI systems take over decision-making tasks, employees often wonder where human judgment adds value.
- Initial cost is high. Investing in data preparation, integration, and infrastructure can feel daunting without a clear or immediate ROI.
- cultural resistance. Without change management to foster employee engagement, even the most advanced AI tools can suffer from low adoption rates.
Organizations struggling with these barriers are stuck in experimental purgatory. Many make the mistake of testing AI in isolation without tying the pilot to strategic goals, leaving value and operational impact unrealized.
Coborg: Missing Link
Developed to bridge the gap between experimentation and execution, COBORG combines practical methodologies with modular design and automation to enable organizations to scale adoption and ensure responsible adoption within weeks instead of years.
At its core, COBORG brings together five pillars of transformation: Business, IT, Data, Time, and People. These pillars are supported by a suite of intelligent accelerators to transform AI theory into results:
- Entropy-based evaluation Quantify workflow variability to determine where AI should make decisions and where humans should make decisions.
- AI safety package Reduce illusions by up to 70% with multi-model validation and guardrails that enhance reliability and explainability.
- Data lineage accelerator Automatically map enterprise data flows, improve traceability, and reduce data preparation costs by approximately 40%.
- drug factoryis a low-code environment for deploying domain-specific AI agents and adapters that can be implemented within weeks.
- Human-involved design A combination of automation and human verification ensures ethical oversight and accuracy.
Each element reflects Inetum's belief that the value of AI begins with focus and trust. Together, these enable users to avoid pilot purgatory and align AI with business goals.
Inetum's role: the fusion of technology and culture
Businesses cannot evolve with technology alone without people. Recognizing this, Inetum positions itself as a technology integrator, architect, and culture change partner. Its approach combines technical depth and changeability to make AI deployment fast, confident, transparent, accountable, and above all human-centric.
Kathy Quashie, EVP and CEO of Inetum Growing Markets, puts it this way: “AI is not just a technology upgrade, it's a cultural shift. Success with AI isn't about deploying tools; it's about embedding an AI mindset into every decision, every collaboration, every customer experience. European companies won't succeed by simply investing in AI. CIO “Companies that do this will accelerate change, enable growth, and lead in competitive global markets.” AI will not only enhance processes, it will redefine success. ”
Dr. Bippin Makoond, Global Practice Manager and Global Head of Innovation for Data and AI at Inetum, echoes this point from an operational lens. “The biggest barrier to enterprise AI adoption is not algorithms, but ambiguity. COBORG is tackling this problem by empowering teams to work with AI with confidence through a framework that blends science, governance, and human insight. Our goal is to make AI secure, scalable, and transformative. AI should be empowering, and it's not.” AI Success with technology means going beyond technology to foster authenticity, clarity, and creativity in how organizations solve problems and design experiences.
Early adoption of COBORG demonstrated this balance in the workplace, where 10-15 high-impact use cases were identified, thousands of employees were trained in AI-enhanced workflows within weeks, and approximately 30% of budgets were optimized through smarter prioritization of efforts. Additionally, Inetum sharpens the line between human judgment and reliance on automation, allowing organizations to maintain a sense of control rather than competition.
Goal: Positively impact customers
COBORG is already being applied in a variety of fields to turn AI ambitions into concrete results. An example use case is:
- Data lineage automation improves transparency and auditability in regulated industries.
- Workflow optimization reduces repetitive tasks and shortens decision-making cycles.
- Chat2Value turns everyday collaboration tools into structured document and backlog generation engines.
These applications demonstrate how companies can directly tie AI to operational performance to reduce costs, improve reliability, and accelerate adoption.
COBORG shows that AI success depends as much on people and culture as it does on algorithms and data. Inetum helps companies move from experimentation to embedding AI into the fabric of their operations by building trust, clarity, and structure into every stage of implementation. In a market full of AI hype, Inetum's approach stands out with its clear directive to “think small, act AI” to embed intelligence into today's culture.
What this means for ERP insiders
AI governance is becoming an ERP imperative. Inetum's COBORG framework shows that successful AI implementation relies on the same governance and accountability principles that have long underpinned ERP systems. As generative AI becomes embedded into core ERP platforms, leaders will require clear data lineage, explainability, and risk management to ensure automation enhances rather than destabilizes business operations.
The role of humans must remain at the center of automation strategies. COBORG's human-involved design confirms that AI becomes more valuable when people remain part of the decision-making chain. For ERP-driven organizations, maintaining defined human oversight, especially in finance, supply chain, and compliance processes, is critical to maintaining trust, accuracy, and cultural buy-in.
Scalable impact requires more tuning, not more experimentation. Inetum's focus on connecting AI to measurable business objectives reflects broader changes that ERP leaders should heed. Pilots and proofs of concept should give way to integrated, results-based deployments where AI improves process efficiency, decision speed, and customer value across the ERP infrastructure.
