HFS PODCASTS

HFS Research selected OrbitShift as a Hot Tech for its ability to turn fragmented market signals into structured opportunity shaping and pipeline execution through full-stack agentic orchestration.

In this videocast, HFS Executive Research Leader David Cushman sits down with OrbitShift co-founder and CEO Saurabh Mishra to unpack what that really means in practice. Together, they explore how sales teams are navigating an increasingly complex landscape filled with dashboards, signals, and AI tools, yet still struggle to prioritize the right opportunities at the right time.

The conversation looks at how OrbitShift approaches this challenge differently, combining contextual intelligence, real-time data, and agent-driven workflows to support deal shaping and pipeline development. Saurabh also shares where automation works best, where human judgment remains critical, and how this balance is evolving as agent capabilities mature.

From pipeline impact and user experience to the future of agent-to-agent interactions, this discussion offers a grounded view of how sales models are shifting and what it takes to turn signals into meaningful outcomes.

Key points discussed:

• What kind of data makes the biggest difference to sales conversions?
• Where should agentic AI be deployed and where should humans remain at the helm, and how should we prepare for the rise of agent-to-agent sales?

iOPEX CRO Dharmesh Mistry and HFS Executive Research Leader David Cushman discuss how iOPEX applies domain expertise and outcome-based pricing to deliver agentic services in the enterprise.

Key points discussed:

• Dive deeper into iOPEX’s impact in the first-ever HFS Agentic Services Horizons report.
• How are they combining deep domain and process expertise with gain-share commercial approaches to move the needle for a significant client?

What happens when services are no longer delivered through people alone, but through platforms, software, and AI working together?

In this Fireside Chat, Phil Fersht speaks with Jo Debecker, President and CEO at Akkodis, on how the company is shifting from a traditional staffing-led model to outcome-driven digital engineering.

With engineering becoming increasingly digital, Akkodis is combining deep domain expertise with platforms, IP, and AI to accelerate innovation for clients. From building simulation environments for industries like aerospace to enabling faster product development cycles, the focus is on delivering measurable outcomes rather than just effort.

The conversation explores what it really takes to move away from headcount-based services, how sales and delivery models must evolve, and why AI should be seen as an enabler of human potential rather than a replacement.

It also highlights a critical shift ahead. Less experimentation, more focused implementation. Less hype, more real impact.

Cognizant Chief AI Officer Babak Hodjat - Head of the firm’s AI lab in San Francisco, tackles the realities of scaling agentic AI across the enterprise, with HFS Executive Research Leader David Cushman.

Key points discussed include:

• Where multi-agent systems break first - and what that means for the state of progress in agentic AI.
• How an agent OS - a standardized layer for governance, orchestration, observability, data trust, and workforce integration, helps enterprises handle the complexity ceiling they will inevitably hit when scaling the use of agentic AI.
• And what’s the impact of the newly emerged OpenClaw and its promise of end-to-end workflows?

In the latest episode of Unfiltered Stories, Sam Duncan, Practice Leader at HFS, sat down with Paul Brody, Former Global Blockchain Leader at EY, and Clare Adelgren, Global Blockchain Leader at EY, to discuss the findings of the latest HFS Enterprise Blockchain Services Horizon. They concluded that enterprise blockchain is very much alive, but it's become all the right kinds of boring.

Key discussed points include:

• Serious players never stopped investing
• The core drivers of enterprise blockchain today (stablecoins, tokenization)
• How engagements can move to production
• What differentiates leaders in the market

If you think enterprise blockchain is dead, think again.

Everyone wants to be AI-first. But no one wants to fund it. In this HFS Unfiltered Stories conversation, Saurabh Gupta, President at HFS Research, sits down with Kailash Attal, Chief Solutions Officer at UST, to tackle one of the toughest questions facing enterprises today: How do you fund AI when budgets are tight, and legacy costs are high?

With CFO scrutiny increasing and capital discipline at an all-time high, enterprises can’t simply “wait for the next budget cycle.” Instead, a new operating model is emerging, a self-funded transformation, where savings generated from optimization are reinvested directly into AI and innovation.

They together explored:

• Why 8 out of 10 enterprises say they cannot wait to transform
• How to combine “run” and “transform” into one operating model
• Why AI is blurring the lines between IT and business
• How services-as-software becomes realistic through structured self-funding
• What must change culturally and operationally to make this work

This isn’t about cost-cutting. It’s about creating a flywheel of savings, reinvestment, and growth, and if your organization is struggling with the how of AI, this conversation is for you.

In this HFS Research videocast with Mindsprint, Ashish Chaturvedi speaks with Rohit Sharma and Unnikrishnan Sasikumar on how supply chains are moving from visibility to intelligence amid disruption—shifting from AI pilots to outcome-led transformation (working capital, margin, customer experience). They explore what’s driving demand today including real-time planning, control towers, supplier collaboration, predictive analytics and what’s next: agentic AI for exception handling and the path to autonomous supply chains, grounded in trustworthy data foundations and an ecosystem approach across SAP/Microsoft cores plus specialist startups.

Key discussion points include:

1. Enterprise demand today is still centered on “visibility + decision support.” Most current programs focus on real-time planning, control towers, supplier collaboration, and AI-driven dashboards/analytics to enable faster decisions during disruption.
2. Clear shift from tactical work to integrated, tech-enabled operations. Buyers are moving away from manual Excel forecasting and siloed portals toward integrated solutions that support automated exception handling (including agentic AI), plus broader ecosystem collaboration and traceability.
3. A widening “spend today vs build tomorrow” gap is shaping strategy. Enterprises are still investing heavily in analytics modernization, cloud, and data foundations, while major tech vendors are pushing hard on generative AI and agentic architectures—creating a sequencing challenge.
4. Trustworthy data is the gating factor for autonomous supply chains. The conversation emphasizes that without strong data foundations (freshness, accuracy, governance, and resolving conflicting data sources), autonomy can create bad decisions (e.g., stock-out risk when systems think safety stock exists).
5. Organizational capabilities matter as much as technology. Beyond platforms and tools, capability building and guardrails (e.g., CoE / governance frameworks) are positioned as essential to unlock value from data and AI.
6. The partner stack is hybrid: ERP core plus startup innovation. SAP and Microsoft are described as dominant “core” stacks, while many enterprises augment them with specialist startups/scale-ups for niche planning, visibility, risk, and sustainability, requiring an ecosystem approach.
7. Progress is real, but not linear. Enterprises are still getting foundations right, even as the tech investment trajectory points clearly toward more autonomous, AI-driven supply chain operations.

AI-first is table stakes; instead, outcomes-first delivery in collaboration with a partner ecosystem unlocks growth, access, and resilience.

Key discussion points include:

• AI-first is no longer differentiating, but outcomes are. Most providers claim AI-first, but the real shift is to outcomes-first delivery tied to better health, better experience, lower cost, and equity.
• The old delivery playbook won’t survive the revenue headwind and patent cliff era. Life science enterprises need a new operating model, Services-as-Software, to rewire discovery-to-commercial and drive measurable impact.
• Winning suppliers become growth partners, not just capacity providers. The next wave is precision medicine, real-world evidence, global resilient supply chains, and continuous patient engagement; vendors that bring IP/platforms and ecosystem innovation move from Horizon 2 toward Horizon 3.

In this Unfiltered Stories episode, Hansa Iyengar sits down with NewRocket CEO Harsha Kumar to dismantle the AI hype and get real about how enterprises can drive outcomes, not just experiments. The conversation zeroes in on building AI you can trust, redefining services as software, and what enterprise leaders must do now to avoid becoming irrelevant in the AI-first era.

The key takeaway from the discussion includes:

• AI is disrupting both low-end and high-end IT services models.
• Intelligent agents are transforming workflows, but you must design them right.
• Trust is the new differentiator for AI.
• Leaders must treat AI as a new operating model, not a side experiment.
• The ROI conversation must shift from cost savings to value realization.

Enterprise leaders who treat AI as a science experiment will lose to those treating it as a new business operating model. The pilot phase is over—budget for AI, train for AI, and build for scale—or prepare to be disrupted.

In this episode of HFS Unfiltered, Saurabh Gupta, President at HFS Research, sat with Hiral Chandrana, CEO and Board member of Veltris, to explore how verticalized AI is transforming digital product engineering, reshaping pricing and delivery models, and redefining what true customer-centricity looks like in an AI-native world.

Hiral shares real-world insights on AI readiness, micro-industry innovation, leadership transformation, and why the next generation’s mindset will shape the next few decades of technological progress.

The key discussion points include:

• Understanding Verticalized AI
• Shifting from Traditional Models to Agile Practices
• The Role of Leadership in a Changing Landscape
• Delivering Value through Domain Expertise and Product Mindset

TCS was recognized as a Horizon 3 Market Leader in the HFS Workday Services Horizons 2025 report for its advisory-led, industry-focused, and AI-infused transformations.

The discussion highlights:

• How TCS’s Crystallus Framework, proprietary accelerators, and GenAI capabilities are redefining Workday-enabled HR and finance transformation.
• The conversation also explores the rise of the “superworker” and how TCS is collaborating with Workday and ecosystem partners to drive the next phase of intelligent enterprise transformation.

GBS is moving from a cost-center to a growth-engine.

AI-first models and platforms are rewiring enterprise operations. In this Unfiltered Stories episode, Ashwin Venkatesan, Executive Research Leader at HFS Research, sits down with Saurabh Gupta, President at HFS Research, and Shashidhar N, VP & Global Head of Platforms at EdgeVerve, to discuss what next-gen GBS really looks like—beyond slideware.

What you’ll learn:

• From “shared services” to “Generative Business Services” — AI-led, data-driven, value-obsessed.
• AI-first delivery = beyond productivity — shift from cost saves to revenue, speed, and innovation.
• What’s blocking progress — silos plus technical, data, and cultural debt (and how leaders break them).
• Why platforms matter — unifying people, process, data, and tech for scalable, AI-powered ops.
• The GBS of tomorrow — AI-first by design, built for agility, collaboration, and continuous value.

HFS Research and Ema discuss how agentic AI is transforming enterprise operations. From AI pilots to AI employees, learn what defines an agentic system, how to scale responsibly, and what the human-plus-AI workforce of the future looks like.

The key takeaways from the discussion include:

• Enterprises are moving from AI experimentation to AI as a core operating model.
• True agentic systems are goal-oriented, autonomous, and continuously improving.
• “AI employees” represent accountable, cross-functional digital colleagues.
• Success depends on governance, measurable outcomes, and C-suite ownership.
• The future workforce blends human creativity with AI execution for end-to-end transformation.

Life sciences are staring at a $1.5T revenue hit—time to rethink the playbook.

Suppliers can’t keep doing what worked yesterday. To help the industry navigate headwinds and continue delivering cures, they’ll need new capabilities, new partnerships, and faster execution.

In this episode of HFS Unfiltered Stories, Rohan Kulkarni, Executive Research Leader at HFS Research, talks with Paul Watson, Vice President, Global Lead Healthcare & Life Sciences at Hitachi Digital Services, about what it will really take to adapt.

They get into:

• Finding growth in new markets, channels, and engagement models
• Regulatory shifts as more countries run their own approvals (not just the FDA)
• Speed to value, where partners that can design, build, run, and service plants end-to-end take the lead

Watch now for practical insights on where life sciences are headed.

Clean energy is confusing right now. Economics says yes to wind and solar, especially. The IEA says $2tr was invested in clean energy in 2024 vs $1tr in fossil fuels. But politics, at least in rhetoric—and the oil and gas sector, suggest otherwise. Despite recent US legislation, clean energy projects are accelerating to claim the remaining subsidies, other E&U firms are doubling down on what they know are great economics, nuclear and battery technology are developing with support of ensuring the energy mix is covered in multiple future scenarios. Globally, the energy transition is seeing growing political support on all continents.

• So how are E&U firms linking the time horizons of clean energy: now, the next 2 years, and beyond?
• And are there any standout Publicis Sapient projects in the clean energy space that can give the energy transition hope?

HFS Chief Research Officer Tony Filippone speaks with Stephanie Ayoub, Chief Growth Officer at ICG, about their work together in Saudi Arabia and across MENA. The discussion focuses on how research-led strategy and on-the-ground execution help enterprises and governments deliver real transformation at scale.

They explain how HFS and ICG are moving clients from plans to results: modernizing technology, improving procurement, scaling AI and automation, and building lasting capabilities.

With Vision 2030 reshaping the region, Tony and Stephanie cover why investment flows into Saudi Arabia, how organizations move from pilots to production, and what AI adoption and sovereignty look like in practice.

You will hear about:

• Why MENA, especially Saudi Arabia, is becoming a global digital and AI-driven transformation hub.
• How the HFS and ICG partnership blends research, strategy, and execution to accelerate outcomes.
• The key challenges for leaders: talent gaps, procurement friction, vendor lock-in, and legacy estates.
• The shift from efficiency to effectiveness and how to pursue outcome-based transformation.
• AI sovereignty, data residency, and hybrid models, and how these shape the region’s next phase.

HFS Research and LTIMindtree discuss the intertwined transitions shaping the future of energy and utilities, sustainability, AI, and talent.

Josh Matthews, Practice Leader for Sustainability, Energy, and Utilities at HFS Research, sits down with Ramesh Kannan, EVP and Chief Business Officer, Head of Energy and Utilities at LTIMindtree, to explore how the industry must navigate these simultaneous shifts.

Key discussion highlights:

• Sustainability, AI, and talent are not isolated shifts—they are deeply interconnected.
• The industry needs bold and strategic transition planning that ties long-term global ambitions with the immediate push for efficiency and resilience.
• Energy and utilities organizations must balance future-focused goals with today’s operational realities to successfully insulate themselves from geopolitical volatility.

In this episode of HFS Unfiltered Stories, Ashish Chaturvedi sits down with Nitesh Mirchandani, Chief Business Officer at Mindsprint, to unpack how the convergence of CPG brands and retailers is redefining go-to-market strategies across industries.

From AI-first delivery models and outcome-based engagements to real-time supply chain visibility, the conversation reveals how Mindsprint is helping enterprises in food, agriculture, retail, and consumer goods adapt and thrive in an increasingly fluid ecosystem.

Together, they explore critical insights around GenAI adoption, omnichannel customer experience, and the industry's accelerated shift toward services-as-software, highlighting what it truly takes to unlock agility and competitive advantage.

Key Takeaways:

1. Convergence of CPG and Retail is strategic: Mindsprint sees the blurring lines between retailers and CPG brands as a growth opportunity, unlocking richer CX, new revenue streams, and operational leverage.
2. GenAI must be business aligned to succeed: Over 40% of AI initiatives fail not because of cost but because of poor alignment with business goals. Mindsprint takes an outcome-first approach to maximize AI ROI.
3. Data-driven product innovation and omnichannel CX are top priorities: Enterprises are doubling on real-time analytics and AI-led personalization to accelerate product launches, improve loyalty, and streamline supply chains.
4. The shift to Services-as-Software is accelerating: The market is proactively moving to subscription-based, outcome-driven engagement models, which give clients flexibility, speed, and co-innovation partnerships.

Watch now to learn how bold execution and AI-aligned strategy are reshaping the future of enterprise services.

What happens when engineering collides with AI, robotics, and software-defined everything? LTTS’s Abhishek Sinha joins HFS’s Hansa Iyengar to explore how the firm is doubling down on deep tech, cross-industry innovation, and outcome-led models to deliver scalable value—and whether that’s enough to stay competitive in a rapidly evolving market.

Key Points Discussed:

• LTTS is charting its path forward through engineering-led innovation, placing strategic bets on AI, robotics, and software-defined technologies to navigate an increasingly complex enterprise landscape.
• Abhishek Sinha shares how a culture of purposeful agility, cross-industry IP reuse, and outcome-based engagement models are creating tangible customer impact. With over 190 AI patents, a mature innovation framework, and deep digital engineering capabilities, LTTS is positioning itself as a leader in an era of disruptive change.

In this videocast, Joel Martin, Executive Research Leader at HFS Research, sits down with Cedric Foray, Global and EMEIA Telecommunications Sector Leader at EY, for an insightful conversation on the evolving telecom landscape.

Together, they explore how accelerating transformation in the telecom industry demands a strategic realignment of AI and operations, driven by outcomes, not just activity. Cedric shares EY’s perspective on sector-oriented transformation and the importance of integrating AI into the core of telecom strategy.

Key themes discussed include:

• EY’s sector-specific approach to telecom transformation
• The critical role of speed in driving innovation
• Strategic alignment of AI and operations
• Embedding corporate strategy into service execution
• Shifting from effort-based to outcome-focused delivery models

Bosch’s Vision for Software-Defined, Outcome-Led Engineering in the Age of AI. In this engaging and forward-looking conversation, Ashwin Venkatesan, Executive Research Leader at HFS Research and Digant Shah, Chief Revenue Officer, Software and Digital Solutions at Bosch explored how Bosch is reimagining engineering and R&D (ER&D) in an era dominated by software innovation and artificial intelligence.

As industries accelerate their digital transformation journeys, Bosch is at the forefront with a software-defined, outcome-led engineering approach that leverages Generative AI, sustainability frameworks, and a robust global delivery model. This session delves into Bosch’s strategic shift from traditional engineering to a software-first mindset, highlighting how this transformation is enabling the company to deliver more meaningful outcomes and adapt swiftly to changing client expectations.

Key discussion points include:

• The shift toward software-defined engineering to drive innovation at scale
• How Generative AI is redefining R&D processes and boosting productivity
• Integrating sustainability as a core pillar in product and platform design
• Leveraging a global delivery model to support agility, speed, and localized client outcomes

In this episode of HFS Unfiltered Stories, Saurabh Gupta, President, Research and Advisory Services at HFS Research, sits down with Deepak Arora, SVP of Financial Services at HCLTech, to explore the dynamic transformation sweeping through commercial banking. From macroeconomic volatility to regulatory complexity and rapid digital disruption, banks are being pushed to act—not wait—for change.

Deepak unpacks how leading institutions are tackling modernization with purpose and urgency, backed by real-world case studies. From overhauling working capital systems to streamlining trade finance using AI and GenAI, the conversation brings to life the practical steps banks are taking to future-proof their business. Deepak also lays out a clear, actionable roadmap for moving from operational resilience to sustainable growth.

Key highlights of the discussion include:

• From Resilience to Growth: Commercial banks are evolving from a defensive posture to a growth-oriented, future-ready mindset.
• Balancing Legacy with Innovation: Modernization strategies must protect the stability of legacy systems while introducing digital agility.
• Use Cases That Matter: HCLTech is driving transformation in areas like trade finance, working capital optimization, and cash management.
• AI with Purpose: AI and GenAI are being applied intentionally to solve core business problems, not just for experimentation.
• Accelerated Tech Adoption: Macroeconomic and regulatory pressures are pushing banks to embrace change faster than ever.
• Beyond Point Solutions: Success lies in embracing platform-led transformation with integrated, scalable workflows.
• The New Playbook: Winning strategies center on platform investments, workflow redesign, and strong business-tech collaboration.

Trust at the Core: Efficiency matters—but trust, experience, and purpose are now key pillars of transformation.

Tune into this must-listen conversation for insight into how commercial banks are redefining their future today.

Publics Sapient has been named a Horizon 3 Market Leader for a second time in the HFS Generative Enterprise Horizon report. In this episode of HFS Unfiltered Stories, HFS Executive Research Leader David Cushman and Publicis Sapient’s EVP and CPO Sheldon Monteiro discuss how the firm’s 'non-conflicted' approach helps enterprises break free from legacy constraints—accelerating their ability to embrace AI at scale.

Publicis Sapient wasn’t built to maintain the legacy world but to transform it fundamentally. With new strategies, up to 80% of the effort is being redirected from maintenance to innovation—empowering organizations to build industrial-grade AI platforms grounded in enterprise standards, security, industry expertise, and contextual intelligence.

In this insightful conversation, Phil Fersht, CEO and Chief Analyst at HFS Research, sits down with Angan Guha, CEO & MD at Birlasoft and a global tech and services industry veteran. With over 30 years at Wipro and now leading a fast-growing mid-sized IT firm, Angan shares his unique perspectives on leadership, global capability centers (GCCs), the evolving role of Indian IT, and how GenAI is reshaping the workforce.

From navigating geopolitical shifts and economic uncertainty to preparing talent for the AI-driven future, this discussion is packed with practical wisdom, career advice for the next generation, and reflections on what it takes to differentiate and thrive in a rapidly changing industry.

A must-watch for anyone interested in digital transformation, talent strategy, and the next wave of innovation in tech services.

Financial stability for health plans remains a priority as transformation and healthcare model evolutions take place around the world. In this episode of HFS Unfiltered Stories, Rohan Kulkarni, Executive Research Leader at HFS Research, engages in a thought-provoking discussion with Kim Dalla Torre, Global and Americas Health Leader at EY.

Key discussion points include:

• The imperative for service providers to engage with the largest and fastest-growing segment in the industry.
• The increasing role of self-insured employers
• A re-evaluation of value-based care and emerging business models
• The workforce crisis and the pressing need for systemic transformation.

David Cushman, Executive Research Leader at HFS Research, sits down with Alan Flower, Executive Vice President – CTO & Global Head, AI & Cloud Native Labs at HCLTech, to explore how HCLTech is driving real return on investment (ROI) from Generative AI at scale.

Key highlights from the discussion include:

• Clients now understand the use cases and focus on becoming AI-native enterprises by re-engineering their business models around AI.
• HCL developed an AI Clinical Advisor for a major U.S. healthcare provider. It saved 3 minutes per 20-minute consultation, translating to $50M/year in labor cost savings.
• Agentic AI introduces new HR/organizational complexities, including who "manages" AI agents and how to measure or assign responsibility for their performance.

A Spotlight on Innovation: Penske’s AI-Driven Transformation with Hitachi Digital Services - Penske, in collaboration with Hitachi Digital Services, is setting a new benchmark for the future of fleet management through AI-led innovation. This strategic partnership has focused on enhancing vehicle uptime, operational efficiency, and customer experience by transforming maintenance practices from reactive to predictive.

Penske and Hitachi Digital Services co-developed cutting-edge, AI-powered fleet solutions that have already demonstrated significant impact. These solutions have prevented over 90,000 breakdowns and enabled more than 117,000 efficient repairs. This transformation has reduced operational disruptions and delivered measurable business value, highlighting the power of AI in real-world applications.

David Cushman, HFS Executive Research Leader, sits down with Paul Roehrig, Chief Strategy and Marketing Officer at Ascendion, to discuss how to time your move on enterprise AI, why software development is the ideal starting point, and how AI is freeing us to rethink work after decades of production-line thinking.

Key discussion highlights include:

• When and how to time your move on enterprise AI
• Why software is the pivot point to start accelerating AI adoption
• How AI creates the opportunity to break free from outdated ways of thinking and working

In this exclusive videocast, Phil Fersht, CEO and Chief Analyst at HFS Research, speaks with Venu Lambu, CEO (Designate) at LTIMindtree, in a candid and forward-looking conversation about the future of enterprise transformation in the AI era.

Venu shares his vision for leading LTIMindtree through a strategic inflection point—where AI, enterprise productivity, and outcome-driven thinking are reshaping the services landscape. He introduces a two-playbook strategy: integrating AI into traditional IT services, and reimagining business processes to unlock enterprise-wide productivity.

Together, they explore how organizations can move beyond cost-centric models to become truly relevant transformation partners.

Key topics discussed:

• Evolving from legacy IT to enterprise-wide, AI-driven productivity
• Shifting from revenue share to client relevance
• Building risk appetite to embrace transformative AI
• Redefining the role of service providers in the automation age
• Navigating economic and geopolitical uncertainty with resilience

Watch now to hear how LTIMindtree is redefining the enterprise services model for the AI-powered future.

In this edition of Unfiltered Stories, HFS's Don Ryan speaks with KPMG leaders Ron Walker and Thomas Davies about the essential components for successfully deploying managed services at scale. They discuss the differences between traditional outsourcing and managed services, highlighting the importance of technology, expertise, and collaboration. The conversation emphasizes the transformative potential of managed services, particularly in sectors such as finance and cybersecurity, and the crucial role of AI in enhancing service delivery. They also examine the distinctive aspects of KPMG's approach, which include their advisory capabilities and a focus on stakeholder alignment and change management.

The key points discussed include:

• Managed services are gaining traction across most enterprise functions and applications.
• Managed services provide a pathway to automation and widespread AI usage.
• Managed services are foundational to many transformational initiatives.

How are enterprises leveraging AI, analytics, data platforms, and automation to drive real business impact? In this exclusive conversation, Chetan Manjarekar, SVP and Global Head of Digital with Eviden, an Atos Group Company, joins HFS Research to break down the latest trends, challenges, and innovations shaping the generative enterprise. From customer experience to data readiness and co-innovation, discover how Eviden leads the charge in digital transformation.

The key points discussed include:

• AI & automation are reshaping enterprise transformation: GenAI and automation are now central to digital transformation, but success depends on aligning technology investments with clear business outcomes.
• Customer, employee, and partner experience are interlinked priorities: 75% of enterprises prioritize customer experience, but organizations are now equally focused on improving employee and partner experiences to drive holistic transformation.
• Data readiness is the biggest AI adoption challenge: 74% of organizations struggle with fragmented, inconsistent, and unstructured data, limiting AI’s full potential. Eviden tackles this with its Data Readiness Assessment Framework to improve governance and accessibility.
• AI investments are surpassing traditional analytics: A major shift is happening; AI spending is set to grow from 19% to 31% in two years, overtaking analytics. AI is increasingly embedded in enterprise applications, automation, and smart platforms.
• Co-innovation & responsible AI will define industry leaders: Eviden emphasizes co-innovation with customers and partners to develop industry-specific AI solutions. Responsible AI, data governance, and security are critical for sustainable success.

Watch now to explore key insights and what’s next for AI-powered business evolution!

Join HFS Practice Leader Ashish Chaturvedi and C TWO CEO Erik Lien as they unpack the critical business imperatives behind intelligent automation orchestration. Discover how effective orchestration can significantly boost bot utilization, simplify governance, and drive measurable ROI. Explore insights on transitioning from siloed RPA to unified AI-driven automation, managing autonomous AI agents, ensuring compliance, and leveraging advanced analytics to optimize automation strategies.

The key points discussed include:

• Maximizing automation ROI: Intelligent orchestration increases bot utilization by over 50%, reduces manual overhead by 75%, and resolves up to 90% of support issues.
• Breaking automation silos: Effective orchestration integrates fragmented automation initiatives, moving enterprises beyond isolated RPA deployments to comprehensive intelligent automation platforms.
• Governance and compliance: Orchestration provides essential governance, auditability, and error handling, ensuring compliance with evolving regulatory frameworks like the EU AI Act.
• Managing autonomous AI agents: Advanced orchestration manages deterministic bots and autonomous AI agents seamlessly, ensuring control, prioritization, and efficiency at an item level.
• Future automation landscape: The convergence of automation, AI, analytics, and optimization through orchestration platforms is key to achieving higher efficiency, governance, and business-driven insights.