Process XPLR^™ provides access to Hackett’s referenceable AI solution library, which includes thousands of curated, industry-specific AI solution opportunities mapped to the client’s technology and automation landscape. The module helps users identify where automation and data capabilities intersect with business processes across front, middle, and back-office functions.

Ideation XPLR^™ provides a guided framework for capturing process-level context – including current-state processes, expected impact, improvement ideas and key performance indicators (KPIs) – and systematically refining these inputs into well-defined AI opportunities. By providing a standardized, consistent approach to early-stage ideation, Ideation XPLR^™ helps organizations move beyond informal, ad hoc ideation practices and focus attention on the areas where Gen AI is most likely to deliver meaningful business impact before progressing into solution design.

Data XPLR^™ enables organizations to translate existing process documentation and operational materials into structured semantic knowledge. Drawing on sources such as SOPs, PDFs, images, process artifacts, and supporting documentation, the module organizes enterprise information into structured knowledge aligned to current processes, expected impact, improvement opportunities, and key performance information. This knowledge is natively accessible within Ideation XPLR^™ and Solution XPLR^™, establishing a direct linkage between actual enterprise documentation and the way opportunities are defined, and solution blueprints are designed.

Solution XPLR^™ extends beyond opportunity discovery to deliver comprehensive AI solution designs for opportunities selected for detailed solutioning. The module designs the to-be process and agentic workflows, translating defined objectives, as-is process context, and expected enhancements into a cohesive, build-ready solution blueprint. Powered by The Hackett Group’s proprietary SLM, Solution XPLR^™ generates agentic workflow designs aligned to process and data requirements, and supports feasibility and return on investment (ROI) modeling to inform implementation planning.

Portfolio XPLR^™ provides a structured way to evaluate and prioritize AI solutions designed in Solution XPLR^™. The module consolidates feasibility, projected cost, expected benefits, and ROI into a unified view, enabling a clear, side-by-side comparison across solutions. By modeling projected ROI and performance impact across productivity, revenue, cost, working capital and customer experience, Portfolio XPLR^™ gives executives the clarity to fund the right initiatives.