Latest Reports

Digital Enterprise 2025: Advancing to an AI-first enterprise

The Digital Enterprise 2025: Advancing to an AI-first Enterprise report explores how organizations are recalibrating digital strategies to stay competitive and resilient in this evolving environment. Drawing on insights from a global cross-section of enterprises, the report highlights key shifts in digital technology investments, the evolution of AI strategies, digital outsourcing models, and talent approaches that are shaping the next wave of enterprise transformation. Businesses are significantly ramping up digital investments to drive sustainable growth. The report offers actionable insights for organizations of all sizes and sectors, empowering them to make informed decisions on their journey toward becoming AI-first enterprises.

May, 2025

Reimagining Enterprise Applications: Powered by Gen AI, Aligned with Industry, and Driven by Sustainability

May, 2025

Supply Chain Operations Services Business Process Transformation 2025 Market Insightsâ„¢

The Supply Chain Operations Services Business Process Transformation 2025 Market Insightsâ„¢ assists enterprises in identifying important demand-side trends that are expected to have a long-term impact on any supply chain operations services transformation engagement. The report also highlights key challenges that enterprises face today.

May, 2025

The Future of Supply Chain Blends Human Insight with Smart Automation

Over the past year, supply chain transformation has taken a more grounded turn. Rather than aiming for expensive tech-first reinventions, many organizations have focused on creating smarter, more adaptive operations that combine the best of technology with human insight. Faced with continued disruption, changing customer expectations, and stretched teams, enterprises have shifted their priorities toward solutions that improve decision-making. Technologies such as AI, control towers, and digital twins are being adopted not for innovation’s sake but to help people work better, automating repetitive tasks and offering visibility. At the same time, the nature of transformation engagements is evolving. Enterprises today are less interested in traditional activity-based outsourcing and more focused on output-based engagements. Success now depends on how well solutions fit into real workflows and drive agility, resilience, and long-term impact. The future is not just digital but human-centered and results-first.

May, 2025

Supply Chain Operations Services Business Process Transformation 2025 RadarViewâ„¢

The Supply Chain Operations Services Business Process Transformation 2025 RadarView™ provides information to assist enterprises in building a supply chain operations services strategy and charting an action plan for supply chain operations service transformation. It identifies service providers that can help expedite global supply chain operations services transformation. It also brings out detailed capability and experience analyses of leading providers to assist businesses in identifying the right strategic partners. The 58-page report highlights key industry trends in the supply chain operations services transformation space and Avasant’s viewpoint.

May, 2025

From Oil to Hyperintelligence: The Strategic Pivot of GCC Countries

The GCC’s AI pivot marks a decisive break from hydrocarbon dependency, turning sovereign data, public capital, and enterprise scale into levers for AI-powered economic reinvention. Unlike fragmented efforts in other regions, the Gulf’s approach is both top-down and execution-focused, grounded in national AI visions, strategic sectoral priorities, and commercialization frameworks. What distinguishes the GCC is its intent to not only deploy AI but also build monetizable IP and regional platforms, especially in Arabic-first use cases. This transformation is not speculative; it is tightly aligned with fiscal rebalancing, industrial policy, and long-term digital sovereignty goals.

May, 2025

Closing the Gaps: Standardizing Responsible AI Amidst a Fragmented Global Governance Landscape

The global AI governance landscape is fragmented, with over 1,000 proposed and enacted policies spanning 69 countries, resulting in a complex web of inconsistent and often reactive regulations. Laws governing AI are rarely harmonized across borders and are deeply entangled with broader data protection, cybersecurity, and digital governance policies. This legal complexity makes it difficult for enterprises, especially those operating in sensitive sectors like telecom, healthcare, and government services, to implement AI solutions responsibly. In healthcare, AI tools risk exacerbating diagnostic inequities without fairness testing; in public services, opaque algorithms can reinforce systemic exclusion; and in telecom, restrictions around cross-border data sharing introduce significant governance challenges.

May, 2025

From Energy to Intelligence: Saudi Arabia’s Next Big Export

Saudi Arabia’s HUMAIN initiative, backed by the Public Investment Fund (PIF), marks a bold and distinctive leap in the global AI race, positioning the country as a serious contender in sovereign AI development. What sets HUMAIN apart is its centralized governance model, distinct from the more decentralized or private sector-led models in countries such as the UAE and the US.

May, 2025

QA Staffing Resurges as an Evolving IT Role

As Agile and other iterative software development methodologies become standard across enterprises, the traditional understanding of the quality assurance (QA) function is being redefined. While QA was once a distinct role within IT organizations, often isolated in a testing phase near the end of development cycles, it has now become a distributed responsibility. This Research Byte examines the reasons for the trend and provides a summary of our full report on IT Quality Assurance and Testing Staffing Ratios.

May, 2025

IT Quality Assurance and Testing Staffing Ratios 2025

As Agile and other types of software development permeate the enterprise, it is becoming increasingly difficult to measure the quality assurance testing (QA) staffing role. Fewer development roles are discretely QA-focused, and most modern software operations rely on spreading the QA role throughout the process. However, the role of QA is still vital.

May, 2025
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