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The Hackett Group, Inc. reports developments in Gen AI strategic consulting, digital transformation, and executive advisory services for enterprise support functions. Its updates often center on Hackett Process and Performance Intelligence, Digital World Class® benchmarks, AI World Class performance measures, and offerings that apply proprietary process data to finance, procurement, human resources, technology, and global business services.
Company news also covers quarterly results, partner and platform strategy, Oracle, SAP, OneStream and Coupa implementation work, and research products such as SolutionMap, TechMatch, Digital World Class® Matrix studies, Applied Intelligence, and AskHackett™. These releases frame the company's recurring role in enterprise transformation, software-vendor assessment, and AI-enabled operating-model design.
The Hackett Group (NASDAQ: HCKT) has launched AI XPLR™ 3.0, an enhanced platform designed to accelerate enterprise-wide generative AI transformation. The platform provides thousands of industry-specific Gen AI solutions and AI agents to transform enterprise workflows within hours or days, rather than weeks or months.
Key features of AI XPLR™ 3.0 include:
- Dynamic ideation with custom solution design
- Feasibility assessment and ROI analyzer for solution prioritization
- Integration with ZBrain™ open source Gen AI orchestration platform
The platform enables organizations to explore industry-specific AI solutions, design and build according to specific requirements, and evaluate ROI before making significant investments. This combination of AI XPLR™ and ZBrain™ supports AI initiatives from ideation through implementation across the enterprise.
The Hackett Group (NASDAQ: HCKT) has announced the launch of its Gen AI Executive Advisory Program, a premium service designed to accelerate organizations' Gen AI initiatives through an advisor-led approach. The program builds upon the company's AI XPLR™ and ZBrain™ platform experiences.
The company has appointed John K. Thompson as principal and program leader. Thompson brings 38 years of AI, data, and analytics experience, having previously led global AI efforts at EY where he implemented one of the world's largest private Gen AI environments serving 300,000+ users. He is also a bestselling author and adjunct professor at the University of Michigan's School of Information.
The program aims to define and enable AI-powered business transformation, leveraging The Hackett Group's expertise in working with major corporations, including 97% of Dow Jones Industrials and 90% of Fortune 100 companies.
The Hackett Group (NASDAQ: HCKT) has released its 2025 Key Issues Study revealing widespread adoption of generative AI in HR operations. 66% of HR organizations are currently utilizing AI-powered tools, with expectations of a 10% increase in workload by 2025 despite budget cuts of 1.5% and headcount reduction of 2%, creating a 12% productivity gap.
The study highlights key areas for AI expansion in 2025:
- 52% use AI for job description writing, with 39% planning resume screening implementation
- 48% utilize AI for employee communications
- 45% plan AI implementation for HR-related inquiries
- 29% intend to use AI for skills documentation and training
HR organizations project a 4.2% year-over-year increase in automation, with 77% having initiatives to leverage technology for improved HR services efficiency. The company recommends prioritizing improvement projects, investing in reskilling, simplifying processes, and redesigning talent management strategies.
The Hackett Group (NASDAQ: HCKT) has released its 2025 Key Issues Study, revealing that 64% of procurement leaders anticipate AI transforming their roles within five years. The study highlights a significant challenge: while workloads are expected to increase by 10% in 2025, budgets will only grow by 1%, creating a 9% efficiency gap.
Current AI adoption shows:
- 49% of procurement teams piloting Gen AI use cases
- 4% reporting large-scale deployment
- 47% using embedded AI in existing procurement software
- Up to 10% improvements in productivity, quality and cost savings
Top priorities include improving spend reduction, ensuring supply continuity, transforming operating models, fighting inflation, and implementing digital transformation. Major challenges include data quality, privacy concerns, supplier volatility, and complex technology integration.
The Hackett Group (NASDAQ: HCKT) has released its 2025 Key Issues Study, revealing a dramatic surge in generative AI adoption among executives, jumping from 16% to 89% in just one year. The study highlights finance teams' evolving strategic role, with 65% of finance executives now considered 'valued business partners,' up from 41% last year.
While AI adoption in finance is expected to grow 20% this year, approximately 22% of finance organizations haven't yet acted on Gen AI. The study projects a 5% productivity gap, with workloads increasing 4% while budgets and headcounts decrease by 1%. Early adopters are seeing productivity improvements and cost reductions exceeding 10% in areas like transactional processing, tax management, and financial planning.
Key challenges include data quality, process complexity, change management, and AI talent shortage. The report recommends finance leaders develop targeted Gen AI strategies, prioritize value-driving use cases, and invest in team upskilling to ensure AI readiness.
The Hackett Group (NASDAQ: HCKT) has scheduled its Q1 2025 earnings conference call for Tuesday, May 6, 2025, following the release of financial results for the quarter ended March 28, 2025. The conference call will begin at 5:00 P.M. ET.
Participants can join via phone using (800) 593-0486 for domestic callers or (517) 308-9371 for international callers. A rebroadcast will be available from 8:00 P.M. ET on May 6 through 5:00 P.M. ET on May 20, 2025. The company will also provide a live webcast through their website, with an online replay available during the same period.
The Hackett Group (NASDAQ: HCKT) has released its 2025 Key Issues Study showing rapid AI adoption in Global Business Services (GBS) organizations. 42% of GBS organizations piloted Generative AI in 2024, with 63% of early adopters reporting successful outcomes in productivity, cost savings, and service quality.
The study reveals that GBS technology budgets will increase by 10% in 2025, while workloads are expected to grow by 11%, creating a 4% efficiency gap. Key findings show that 60% of leaders view AI as critical for cost reduction, while 70% focus on AI-driven spend management.
However, organizations face significant adoption challenges, including process complexity (73%), unrealistic expectations (71%), data quality issues (71%), and AI talent shortages (67%). The study projects that 71% of leaders expect AI to transform unstructured tasks by 2027, with implementation planned across finance, IT, HR, and procurement services.
The Hackett Group (NASDAQ: HCKT) has released its 2025 Key Issues Study showing a dramatic increase in executives accelerating Gen AI initiatives, rising from 16% to 89% year-over-year. The study reveals that over 50% of organizations plan to use Gen AI to enhance customer satisfaction, their top business priority for 2025.
Companies implementing Gen AI solutions have reported up to 25% improvements in quality, productivity, customer experience, operating cost reduction and full-time equivalent reductions, with some achieving 40% or greater gains. However, organizations face significant challenges in scaling AI, including process and technology complexity (59%), unrealistic expectations (58%), data quality concerns (58%), and AI talent shortages (52%).
The report outlines four critical actions for scaling AI:
- Pivoting from learning to scaling Gen AI
- Embracing co-intelligence beyond isolated use cases
- Focusing on readiness to tackle complexity
- Investing in AI talent and change management
The Hackett Group (NASDAQ: HCKT) released its 2025 Key Issues Study highlighting the growing adoption of AI in supply chain management. The study reveals that 50% of supply chain leaders are currently testing generative AI, though full-scale implementation remains
Key findings show that 75% of supply chain leaders cite economic uncertainty as a primary concern, driving focus on cost-efficiency, product availability, and supply chain resilience as top priorities for 2025. Prescriptive AI is emerging as a important tool for real-time, data-driven decision-making in risk mitigation.
The study identifies five critical areas for supply chain leaders: sustainable cost reduction, customer-focused innovation, supply chain agility, rapid insight creation, and strategic digital transformation. Notably, talent and skill development ranks as the top initiative for 2025, though leaders express least confidence in achieving this goal.