Hackett Group Inc Stock Price, News & Analysis

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.

The Hackett Group (NASDAQ: HCKT) has released its latest Digital World Class® Matrix analyzing the Master Data Management (MDM) software marketplace. The report highlights how improving data standards can lead to a 3X increase in staff productivity and a 45% decrease in finance costs.

The study evaluated 16 software vendors across 26 value criteria, focusing on their capabilities in data governance and management. Key findings show that 58% of end users create new master records within two hours, 55% maintain duplicate records at 10% or less, and 75% have improved data visibility.

The report emphasizes the critical connection between Generative AI and MDM, noting that high-quality data is essential for maximizing AI benefits. Leading MDM solutions offer features like intelligent data integration, data match/merge, enrichment, and deduplication, with all vendors now incorporating AI into their platforms.

The Hackett Group (NASDAQ: HCKT) has released its 2025 Key Issues Study, revealing a dramatic surge in generative AI adoption among enterprises, with 89% actively advancing Gen AI initiatives compared to just 16% last year.

The study highlights that over 50% of organizations plan to leverage Gen AI specifically for improving customer experience. Companies are reporting significant gains in deliverable quality, process efficiency, and both customer and employee experiences, with some achieving transformative improvements of up to 40% in specific areas.

Currently, 34% of companies are executing Gen AI strategies through their CIO, while others opt for decentralized models. However, organizations face challenges including data quality issues, process complexity, and workforce readiness. The study emphasizes that companies must focus on streamlining deployment models, budget allocation, talent upskilling, and setting realistic operational improvement expectations to achieve enterprise-scale impact.

The Hackett Group (NASDAQ: HCKT) reported Q4 2024 financial results exceeding guidance. Total revenue reached $79.2 million, with revenue before reimbursements at $77.5 million, up from $72.4 million in Q4 2023. GAAP diluted EPS was $0.12, compared to $0.28 in Q4 2023, impacted by non-cash compensation expenses of $5.1 million and LeewayHertz acquisition-related expenses of $2.3 million.

Adjusted diluted EPS was $0.47, surpassing guidance and improving from $0.39 in Q4 2023. The company generated $20.6 million in operating cash flow and ended the quarter with $16.4 million in cash. The Board approved a 9% dividend increase to $0.48 annually. For Q1 2025, the company projects revenue before reimbursements of $75.0-76.5 million and adjusted EPS of $0.39-0.41.

The Hackett Group (NASDAQ: HCKT) has released its latest Digital World Class® Matrix analyzing the talent acquisition software marketplace. The report examines how automation and generative AI advances impact recruiting outcomes. Companies implementing advanced talent acquisition technologies have achieved significant improvements: 38% faster time to fill, 42% quicker time to hire, and 46% more qualified applicants.

The study evaluated 15 providers across 29 criteria, focusing on capabilities like candidate experience, recruiter experience, recruitment marketing, and analytics. The research highlights the growing adoption of AI applications in recruiting, particularly intelligent automation, content generation, and collaboration capabilities. Emerging technologies include advanced interview solutions with Gen AI question prompts and predictive analytics for workforce strategies.

The introduction of agentic AI in fall 2024 marks a significant advancement, enabling independent decision-making and reducing administrative workloads for recruiters.