IBM Consulting and The Hackett Group, Inc. are collaborating to help enterprises accelerate and prioritize AI opportunities using Hackett AI XPLR™. By aligning AI potential to real workflows and existing systems, organizations can identify high-value use cases with measurable ROI. The collaboration supports responsible and efficient enterprisewide AI adoption.
Artificial intelligence and automation continue to reshape the way enterprises operate. Organizations are seeking greater efficiency, improved performance, and new paths to business value, but lasting impact requires more than technology. It begins with a clear understanding of processes and how work is executed across the enterprise.
IBM and The Hackett Group® are working together to help organizations bring structure, speed, and scale to their AI initiatives. A core element of this effort is Hackett AI XPLR™, a platform designed to help organizations move from directional ideas to actionable AI opportunities. Hackett AI XPLR™ identifies where AI-driven enhancements are possible inside existing workflows and evaluates and designs business and agentic workflows where they deliver the greatest measurable value. IBM brings its proven expertise in enterprise transformation, enabled by its AI-powered delivery platform, IBM Consulting Advantage, to help clients scale responsibly and accelerate value creation.
Also Read: Island Launches SASE Rebuilt for the AI Era, Powered by the Perfect Packet Architecture
Hackett AI XPLR™ evaluates every opportunity within the context of an organization’s enterprise technology landscape, including core systems, point solutions, and custom applications. The platform determines whether required capabilities already exist or if enhancements would be needed, ensuring recommendations build on current investments rather than duplicating them.
IBM is engaging Hackett AI XPLR™ to support its work with clients, accelerating the discovery and sizing of AI opportunities as part of broader transformation roadmaps. The platform ingests available digital standard operating procedures, process flows, system data, process mining outputs, and automation footprints to recommend improvements and quantify expected outcomes.
This approach delivers several key results for clients:
- A clear, actionable process improvement plan grounded in implementable AI-driven solutions with measurable enterprise value and ROI
- Visibility into meaningful improvement opportunities, surfacing levers for speed, efficiency, and experience
- A quantified value case that translates insights into expected performance gains and potential ROI
One recent example involved a client seeking a rapid, evidence-based view of the most relevant AI opportunities within its invoice-to-pay process. Traditional assessments required significant time from subject matter experts and deep manual analysis. The client needed a faster, data and IP-informed platform that properly considered its technology environment and operational goals. Using Hackett AI XPLR™, the teams identified seven prioritized improvement themes across the invoice processing lifecycle and eighteen detailed AI use cases tied directly to those themes.
“AI succeeds when it’s deployed using a client’s specific business context,” stated Ted A. Fernandez, Chairman and CEO of The Hackett Group®. “We don’t provide generic tools or solutions; we provide our IP-informed Hackett AI XPLR™ platform, powered by our Hackett Domain-Specific Language Model (DSLM), expertly trained and tuned to identify, evaluate, and design implementation-ready AI solutions built specifically to the client’s strategic requirements.”
SOURCE: Businesswire