Hackett Group Unveils AI XPLR 5.0, a New Platform‑Enabled AI Assessment Tool

HCKT
January 07, 2026

Hackett Group announced the launch of AI XPLR 5.0 on January 6 2026, a new generation of its AI assessment platform that supports enterprise AI Centers of Excellence and is available for enterprise licensing.

AI XPLR 5.0 builds on the company’s proprietary Solution Language Model and Hackett Intelligence, accelerating the identification, evaluation, and design of AI solutions across business processes, applications, and data landscapes. The platform claims to deliver an 80 % solution in under an hour, a dramatic speed improvement over the 4‑6 week timelines typical of traditional consulting engagements. While the exact metric is not independently verified, the platform is positioned to reduce time‑to‑value for AI initiatives.

The launch marks a strategic shift from consulting to a platform‑enabled business model. By offering a licensable product, Hackett aims to generate recurring revenue and higher gross margins. The company’s financial reports show improving gross margins—47.7 % in Q4 2024 versus 43.3 % in Q4 2023—and modest revenue growth, indicating that the platform could help sustain margin expansion.

In a competitive landscape dominated by firms such as Accenture and Cognizant, Hackett differentiates AI XPLR 5.0 by focusing on assessment and design rather than execution. The proprietary Solution Language Model and Hackett Intelligence provide a unique value proposition that can accelerate AI adoption for clients.

CEO Ted A. Fernandez emphasized that many organizations struggle to translate AI experimentation into measurable business impact, and AI XPLR 5.0 provides a structured framework grounded in clients’ own processes and data. The platform is expected to drive recurring revenue and improve margins, aligning with Hackett’s broader IP platform strategy.

While the launch itself does not include immediate financial impact, the platform is positioned to contribute to future revenue growth and margin expansion. Investors will watch for early adoption metrics and licensing revenue in upcoming earnings releases.

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