IBM and Hackett Group Collaborate to Accelerate AI Adoption
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Mar 18 2026
0mins
Should l Buy HCKT?
Source: Newsfilter
- AI Opportunity Identification: IBM Consulting collaborates with The Hackett Group to leverage the Hackett AI XPLR™ platform, assisting enterprises in identifying high-value AI use cases with measurable ROI, thereby facilitating effective transformation in the AI domain.
- Process Optimization: The Hackett AI XPLR™ platform analyzes existing workflows to identify AI-driven improvement opportunities, enabling clients to pinpoint seven prioritized improvement themes and eighteen specific AI use cases within the invoice processing lifecycle, significantly enhancing operational efficiency.
- Technology Integration: The platform evaluates the enterprise technology landscape to ensure AI solutions are compatible with existing systems, avoiding redundant investments and providing clients with a clear implementation plan that promotes responsible AI adoption.
- Strategic Collaboration: This partnership combines IBM's expertise in enterprise transformation with Hackett's consulting capabilities, offering evidence-based AI opportunity identification and design that supports sustainable business value growth for organizations.
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Analyst Views on HCKT
Wall Street analysts forecast HCKT stock price to rise
3 Analyst Rating
3 Buy
0 Hold
0 Sell
Strong Buy
Current: 12.380
Low
27.00
Averages
27.50
High
28.00
Current: 12.380
Low
27.00
Averages
27.50
High
28.00
About HCKT
The Hackett Group, Inc. is an IP and platform-based, Gen artificial intelligence (A.I.) strategic consulting and executive advisory company. The Company’s segments include Global Strategy & Business Transformation (Global S&BT), Oracle Solutions, and SAP Solutions. The Global S&BT segment includes the Company’s Gen A.I. and strategic business consulting practices. The Oracle Solutions Segment includes the Company’s Oracle Enterprise Performance Management (EPM)/ Enterprise Resource Planning (ERP) and Digital Application Maintenance and Support (AMS) practices. SAP Solutions segment includes the Company’s SAP applications and related SAP service offerings. Its software platform includes AI XPLR and ZBrain.ai. Its AI assessment platform allows measuring and assessing the impact of Gen A.I. technologies. It provides expertise in Gen A.I. strategy, operations, finance, strategic sourcing, and information technology, including its Oracle, SAP, OneStream, and Coupa implementation offerings.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
Hackett Group Unveils AI-Driven Financial Management Report
- Capital Release Potential: The latest report from The Hackett Group reveals that AI-driven financial management software can unlock up to $44 million in working capital by optimizing collections and dispute management processes, significantly enhancing cash flow performance for businesses.
- Reduced Dispute Resolution Cycle: After implementing the new software, companies experience an average reduction of 8 days in dispute resolution cycles, which not only improves cash flow efficiency but also provides faster capital turnover, thereby enhancing market competitiveness.
- Increased Employee Efficiency: Automation allows companies to reallocate up to 57% of staff capacity, reducing average days delinquent by 8.5 days, which boosts overall operational efficiency and lowers bad debt risk, directly impacting the financial health of the organization.
- High Software Satisfaction: Among assessed users, overall software satisfaction stands at 87%, indicating that businesses can effectively enhance customer experience and financial performance after implementing these modern management platforms, driving the achievement of long-term strategic goals.
See More
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- Transformation of Outsourcing Relationships: Business process outsourcing (BPO) providers are embedding AI into their services, resulting in improved customer experience and service quality, indicating a shift from mere cost savings to digital transformation partnerships.
- Growing Workload Pressure: GBS workloads are projected to grow by 15% by 2026, while budgets only increase by 7%, creating a 5% productivity gap and an 8% efficiency gap, compelling organizations to rethink how work is structured and delivered.
- Declining Confidence in Execution: While 70% of GBS leaders prioritize cost leadership, only 30% express high confidence in achieving cost reduction targets, reflecting increasing challenges in AI execution amid rising workloads and constrained budgets.
See More
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- Accelerated AI Adoption: By 2026, AI adoption in HR shared services is projected to reach 47%, with talent and performance management at 42%, indicating AI's critical role in streamlining transactions and enhancing evaluations, although strategic capabilities like skills architecture remain underdeveloped.
- Significant Execution Gap: While 84% of HR leaders emphasize flexibility and skills fluidity, 61% have not implemented plans to redesign work models, highlighting a clear disconnect between strategic intent and actual execution, which hampers HR's transformation capabilities.
- Growing Technology Investment: HR workloads are expected to rise by 9% by 2026, yet operating budgets will only increase by 1%, with 83% of organizations expecting more from HR, indicating that a 9% rise in technology investment is aimed at addressing escalating demands despite limited resources.
- Strategies to Overcome Barriers: The study identifies data quality and change management as primary obstacles, urging HR leaders to take targeted actions, design borderless workplaces, and focus on continuous capability development to enhance HR's role in workforce transformation.
See More
Accelerated AI Adoption in Finance Sector
- Increased AI Priority: The Hackett Group's study reveals that AI implementation will rise to the fourth priority for finance departments in 2026, a significant jump from sixteenth in 2025, indicating a strong focus on technology investment that is expected to enhance overall business performance.
- Widening Productivity Gap: Despite a projected 3.2% increase in finance workloads by 2026, headcount is expected to decline by 2.1% and budgets by 1.7%, creating a 5.3% productivity gap that prompts finance leaders to plan a 5.6% increase in technology spending to address these challenges.
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- Talent Shortage Challenges: 77% of organizations identify a lack of AI talent as the leading barrier to adoption, while 72% of respondents cite organizational resistance to change as the top transformation challenge, underscoring that successful AI implementation relies not only on technology but also on adjustments in personnel and processes.
See More
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- Process Optimization: The Hackett AI XPLR™ platform analyzes existing workflows to identify AI-driven improvement opportunities, enabling clients to pinpoint seven prioritized improvement themes and eighteen specific AI use cases within the invoice processing lifecycle, significantly enhancing operational efficiency.
- Technology Integration: The platform evaluates the enterprise technology landscape to ensure AI solutions are compatible with existing systems, avoiding redundant investments and providing clients with a clear implementation plan that promotes responsible AI adoption.
- Strategic Collaboration: This partnership combines IBM's expertise in enterprise transformation with Hackett's consulting capabilities, offering evidence-based AI opportunity identification and design that supports sustainable business value growth for organizations.
See More
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- Shift in Procurement Priorities: The Hackett Group's study reveals that AI-enabled technology has entered the top three procurement priorities for the first time, with 80% of procurement executives identifying AI as the most transformational trend over the next five years, indicating a significant shift in leadership perspectives on AI's role.
- Accelerating AI Adoption: The research shows that 43% of organizations are actively pursuing AI deployment, nearly doubling last year's figures, although only 12% report large-scale implementation, highlighting that most are still in pilot phases, particularly in contract management and market intelligence.
- Early Value Realization: Organizations that have begun deploying AI in procurement report early gains in cycle time reduction, productivity, and effectiveness, enabling teams to respond more swiftly to business needs amid tightening resources, with procurement workloads projected to increase by 8% by 2026.
- From Pilots to Agentic Procurement: The research highlights a growing divide between organizations experimenting with AI and those reimagining procurement through an agentic enterprise lens, as leading teams anchor AI investments in procurement-specific priorities like supply continuity and spend optimization, enhancing decision-making and governance structures.
See More
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- Capital Release Potential: The latest report from The Hackett Group reveals that AI-driven financial management software can unlock up to $44 million in working capital by optimizing collections and dispute management processes, significantly enhancing cash flow performance for businesses.
- Reduced Dispute Resolution Cycle: After implementing the new software, companies experience an average reduction of 8 days in dispute resolution cycles, which not only improves cash flow efficiency but also provides faster capital turnover, thereby enhancing market competitiveness.
- Increased Employee Efficiency: Automation allows companies to reallocate up to 57% of staff capacity, reducing average days delinquent by 8.5 days, which boosts overall operational efficiency and lowers bad debt risk, directly impacting the financial health of the organization.
- High Software Satisfaction: Among assessed users, overall software satisfaction stands at 87%, indicating that businesses can effectively enhance customer experience and financial performance after implementing these modern management platforms, driving the achievement of long-term strategic goals.
See More
2026 GBS Key Issues Study: AI Enhances Efficiency
- Significant AI Impact: The 2026 GBS Key Issues Study reveals that early Gen AI deployments have led to a 13% improvement in customer experience, 11% gains in employee engagement and service quality, and a 10% boost in productivity, highlighting AI's core value in enhancing service delivery.
- Transformation of Outsourcing Relationships: Business process outsourcing (BPO) providers are embedding AI into their services, resulting in improved customer experience and service quality, indicating a shift from mere cost savings to digital transformation partnerships.
- Growing Workload Pressure: GBS workloads are projected to grow by 15% by 2026, while budgets only increase by 7%, creating a 5% productivity gap and an 8% efficiency gap, compelling organizations to rethink how work is structured and delivered.
- Declining Confidence in Execution: While 70% of GBS leaders prioritize cost leadership, only 30% express high confidence in achieving cost reduction targets, reflecting increasing challenges in AI execution amid rising workloads and constrained budgets.
See More
2026 Key Issues Study Reveals AI's Potential in HR
- Accelerated AI Adoption: By 2026, AI adoption in HR shared services is projected to reach 47%, with talent and performance management at 42%, indicating AI's critical role in streamlining transactions and enhancing evaluations, although strategic capabilities like skills architecture remain underdeveloped.
- Significant Execution Gap: While 84% of HR leaders emphasize flexibility and skills fluidity, 61% have not implemented plans to redesign work models, highlighting a clear disconnect between strategic intent and actual execution, which hampers HR's transformation capabilities.
- Growing Technology Investment: HR workloads are expected to rise by 9% by 2026, yet operating budgets will only increase by 1%, with 83% of organizations expecting more from HR, indicating that a 9% rise in technology investment is aimed at addressing escalating demands despite limited resources.
- Strategies to Overcome Barriers: The study identifies data quality and change management as primary obstacles, urging HR leaders to take targeted actions, design borderless workplaces, and focus on continuous capability development to enhance HR's role in workforce transformation.
See More
Accelerated AI Adoption in Finance Sector
- Increased AI Priority: The Hackett Group's study reveals that AI implementation will rise to the fourth priority for finance departments in 2026, a significant jump from sixteenth in 2025, indicating a strong focus on technology investment that is expected to enhance overall business performance.
- Widening Productivity Gap: Despite a projected 3.2% increase in finance workloads by 2026, headcount is expected to decline by 2.1% and budgets by 1.7%, creating a 5.3% productivity gap that prompts finance leaders to plan a 5.6% increase in technology spending to address these challenges.
- Efficiency in High-Volume Processes: With 33% of organizations already scaling AI solutions in accounts payable, this process emerges as the most mature for AI adoption, reflecting finance leaders' focus on areas where automation can rapidly enhance productivity and accuracy.
- Talent Shortage Challenges: 77% of organizations identify a lack of AI talent as the leading barrier to adoption, while 72% of respondents cite organizational resistance to change as the top transformation challenge, underscoring that successful AI implementation relies not only on technology but also on adjustments in personnel and processes.
See More
IBM and Hackett Group Collaborate to Accelerate AI Adoption
- AI Opportunity Identification: IBM Consulting collaborates with The Hackett Group to leverage the Hackett AI XPLR™ platform, assisting enterprises in identifying high-value AI use cases with measurable ROI, thereby facilitating effective transformation in the AI domain.
- Process Optimization: The Hackett AI XPLR™ platform analyzes existing workflows to identify AI-driven improvement opportunities, enabling clients to pinpoint seven prioritized improvement themes and eighteen specific AI use cases within the invoice processing lifecycle, significantly enhancing operational efficiency.
- Technology Integration: The platform evaluates the enterprise technology landscape to ensure AI solutions are compatible with existing systems, avoiding redundant investments and providing clients with a clear implementation plan that promotes responsible AI adoption.
- Strategic Collaboration: This partnership combines IBM's expertise in enterprise transformation with Hackett's consulting capabilities, offering evidence-based AI opportunity identification and design that supports sustainable business value growth for organizations.
See More
AI Deployment in Procurement Nearly Doubles Year-Over-Year
- Shift in Procurement Priorities: The Hackett Group's study reveals that AI-enabled technology has entered the top three procurement priorities for the first time, with 80% of procurement executives identifying AI as the most transformational trend over the next five years, indicating a significant shift in leadership perspectives on AI's role.
- Accelerating AI Adoption: The research shows that 43% of organizations are actively pursuing AI deployment, nearly doubling last year's figures, although only 12% report large-scale implementation, highlighting that most are still in pilot phases, particularly in contract management and market intelligence.
- Early Value Realization: Organizations that have begun deploying AI in procurement report early gains in cycle time reduction, productivity, and effectiveness, enabling teams to respond more swiftly to business needs amid tightening resources, with procurement workloads projected to increase by 8% by 2026.
- From Pilots to Agentic Procurement: The research highlights a growing divide between organizations experimenting with AI and those reimagining procurement through an agentic enterprise lens, as leading teams anchor AI investments in procurement-specific priorities like supply continuity and spend optimization, enhancing decision-making and governance structures.
See More
