Advisory

Business Process Transformation Advisory

Transform and optimize your business operations to drive measurable business value, agility and resilience.

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Top Story

The Future of Finance Operations: Agentic AI and Evolving Service Models

Agentic AI is on its way to making financial systems autonomous, meaning they will be able to perceive, reason and act with very limited and, in some cases, no human interaction.

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Intelligent Business Operations:
Your New Baseline in the Era of AI

Across industries, the pace of change has never been faster. Organizations are navigating a perfect storm of economic volatility, technological disruption and rising customer expectations, forcing leaders to rethink how work gets done. 

Enterprise-wide digitalization is accelerating. 

30-50

productivity gains in business processes with AI, automation and analytics

A majority of global enterprises are now integrating AI, automation and analytics directly into their business-process transformation roadmaps to achieve measurable productivity and agility gains.

Platform-based ecosystems are replacing siloed systems. 

68

of organizations are investing in integrated process-automation platforms through 2026

Aligned with this finding, we are seeing an increasingly strong shift toward cloud-native, composable architectures for business support functions.

The next frontier is intelligent, outcome-based operations where human insight and digital intelligence converge to deliver agility, transparency and measurable business value. 

Amid this transformation, the differentiator between those who merely adapt and those who lead are the ability to turn business support to business value. 

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Transforming Business Operations

We help organizations to leverage AI innovation to redesign and optimize operations, delivering measurable business outcomes. Combining our deep industry expertise, data-driven insights and proven advisory methodologies, we partner with clients to reimagine their operating models, aligning people, processes and technology to achieve agility, efficiency and growth.

We help you go beyond incremental improvement to achieve impactful transformation that lasts.

Optimize your business operations across the enterprise

finance and accounting

Finance & Accounting (F&A)

procurement

Procurement

human resources

Human Resources (HR)

customer experience

Customer Experience (CX)

contract-lifecycle

Industry-specific Operations

Marketing Ops

Marketing Ops

Sales After Sales

Sales & After Sales

supply chain

Supply Chain

Revenue Generation

Revenue Generation

Our Business Process Transformation Capabilities 

ISG’s advisory spans the full transformation lifecycle, strengthened by our independent perspective, market insights and proven results: 

 

Process Diagnostics and Benchmarking  

Identify performance gaps and improvement opportunities through comparative analytics, using ISG’s proprietary benchmarks for actionable insights. 

Target Operating Model Design 

Build an agile, scalable, digital-first operating model aligned with business outcomes, informed by ISG’s market intelligence. 

Digital Enablement & Automation Strategy  

Integrate AI, intelligent automation and advanced analytics to enable data-backed decisions and accelerate innovation. 

Continuous Improvement and Governance  

Foster a performance-driven culture with ongoing optimization and governance for sustained success. 

Change Management & Workforce Readiness

Prepare and enable teams to embrace new processes and technologies for lasting, successful adoption, ensuring ROI targets for your tech investments are met.

Strategic Sourcing  

Apply ISG’s FutureSource™ methodology, AI-enabled platform, IP templates and expertise to make evidence-based and future-ready sourcing decisions. 

Transformation with Global Capability Centers (GCCs)  

Design, build, and optimize GCCs and GBS as strategic enablers of transformation, leveraging global talent, automation and analytics to deliver scalability, innovation and measurable business value. 

The market has moved from ambition to accountability.

AI investment is accelerating, but results remain uneven. Only one in four initiatives is meeting revenue impact expectations, at an average spend of $1.3M per use case. Enterprises are no longer asking whether AI works. They are being asked to prove that it pays.

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What We Deliver

AI strategy, governance and intelligence, built for execution.

Autonomous Enterprise

Operations built for autonomous execution, not retrofitted for it.

We help you identify where AI agents deliver the most value, restructure workflows around them and build the accountability models that keep autonomous execution auditable. The enterprises that win won't be the ones that reacted. They'll be the ones that designed for it first.

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Autonomy-Level Pricing

Pricing that reflects how AI-enabled services are actually delivered.

We give enterprises transparent, benchmarkable pricing models that tag each resource unit with the autonomy level used to deliver it. As AI capability advances, your pricing keeps pace. Both buyers and providers can quantify what that progress is worth.

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AI & Software Intelligence

Build-versus-buy decisions grounded in what AI is actually delivering.

We bring analysis of more than $2.6 billion in tracked AI spend to every sourcing decision. Procurement, technology and finance leaders get the independent intelligence to rationalize vendor portfolios and hold providers accountable to measurable outcomes.

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AI Governance

Governance that accelerates AI adoption rather than constraining it.

We embed controls at the point of data creation, define accountability for autonomous actions and build adaptive frameworks that keep pace with AI without impeding it. Enterprises that get this right don't just manage risk. They build the trust that lets them scale faster.

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AI Strategy

AI investment aligned to where impact is most achievable.

We ground strategy in research across 2,400 enterprise use cases, aligning investment to where impact is proven and designing the data, talent and governance foundations that move AI from pilots into the workflows that drive commercial results.

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AI Maturity Index

A clear view of where you stand and a roadmap to where AI starts delivering.

We benchmark your AI readiness against peers across 75 countries, identify the dimensions holding you back and give you a personalized roadmap to close the gap.

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The market today

Enterprise AI has moved out of IT and into the revenue line.

AI investment is shifting decisively toward revenue-generating functions. CRM automation, sales enablement and forecasting have replaced chatbots and IT productivity tools as the leading use case priorities, reflecting enterprise recognition that productivity gains alone do not satisfy board-level scrutiny. At the same time, use cases in production have doubled since 2024, and the portfolio is diversifying rapidly, with over 300 distinct function and industry-specific use cases now in active deployment.

ISG research across 2,400 enterprise use cases shows that the strongest AI returns are currently concentrated in compliance, risk management and quality control, not in the growth and cost outcomes most enterprises originally set out to achieve

The gap between where enterprises are investing and where AI is actually delivering is the defining commercial tension of 2025. Organizations that close it by targeting functions with structured, revenue-attributable data and clear ROI measures will establish performance benchmarks that compress the window for competitors still cycling through pilots. The standard is being set now.

Where enterprises are feeling the pressure
  • Business outcomes are lagging AI ambition
    Enterprises are scaling Al faster than they are realizing value from it. The number of use cases in production doubled between 2024 and 2025, yet only one in four initiatives is meeting revenue impact expectations, and broad cost savings remain elusive. At an average spend of $1.3M per use case, the ROI gap is sharpening board-level scrutiny and forcing a harder question: are we building Al for impact, or for activity?
  • Data infrastructure exposing deferred investment
    Al does fail in isolation. It fails on the foundations beneath it. Most enterprises are running modern Al on architectures built for reporting and compliance. Generative and agentic Al demand real-time contextually rich, governed data at the point of use. Without it, pilots stall and value dissipate before it reaches the business.
  • The barrier to scale is organizational, not technical
    Organizational readiness as the bigger constraint on Al adoption, not talent or tooling. Workflows haven't been redesigned. Decision rights haven't shifted. Enterprises that treat Al as a pure technology deployment, without investing in the human side of adoption, consistently report underwhelming ROI.
  • Agentic AI is outpacing governance
    As Al moves from generating outputs to executing tasks autonomously, the governance gap widens. Agentic Systems introduce a new class of risk that static compliance frameworks were never designed to catch. Governing what Al does, not just what it produces, is now a business-critical requirement.
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