Deloitte and HPE Launch Agentic AI
Deloitte and Hewlett Packard Enterprise announced a collaboration to launch agentic AI solutions for transforming finance operations. The new tools are designed to assist with CFO-led initiatives and operational improvements, showcasing a practical application of AI for enterprise strategy.
This collaboration is an expansion of a partnership first announced in November 2024, which centered on Deloitte using HPE's Private Cloud AI co-developed with NVIDIA. The joint solution, known internally at HPE as "Alfred," is built on Deloitte's Zora AI™ platform and is designed to analyze over 300 million line items of data in near real-time. Agentic AI moves beyond traditional automation by autonomously executing entire workflows, from data gathering to analysis and reporting. A key technical achievement in the Deloitte-HPE solution was reengineering NVIDIA's AI building blocks to produce deterministic outcomes—ensuring the AI provides the same answer to the same question every time, a critical requirement for enterprise finance. The immediate goal is to shift the CFO's role from historical reporting to forward-looking strategy, with specific use cases in financial statement analysis, scenario modeling, and competitive market analysis. A recent Deloitte survey found that 54% of CFOs now rank integrating AI agents as a top transformation priority. This initiative is a proof point for a much broader strategy. Deloitte has a 2025 roadmap to release a significant number of new AI agents for functions beyond finance, including supply chain, sales, marketing, and tax. To guide this, the firm just launched its "Enterprise AI Navigator" service to help clients move from fragmented AI experiments to integrated, enterprise-wide adoption. The widespread adoption of agentic AI is creating demand for new consulting expertise. Firms will require talent that can redesign core business processes and operating models for an "agent-compatible" future, rather than just layering AI onto existing workflows. This involves skills in process intelligence, organizational redesign, and building robust data governance frameworks. While 72% of CFOs believe AI is critical to their strategy, less than 10% have fully integrated it, signaling a massive implementation gap. This gap represents a significant opportunity for specialized consulting firms focused on operational improvement, as enterprises will need guidance on redesigning roles and workflows to capitalize on the technology's potential for autonomous decision-making.