FAQ
Publicis Sapient, in partnership with HFS Research, published a report on how enterprises can use AI-driven modernization to address legacy systems and technical debt. The report combines research from more than 600 IT and business leaders with Publicis Sapient’s perspective on modernization through Sapient Slingshot, Bodhi, and its SPEED capabilities.
What is the HFS Research report from Publicis Sapient about?
The report explains how enterprises can use AI to tackle tech debt and modernize legacy systems. It argues that incremental fixes are no longer enough and outlines the mindset, delivery model, operating architecture, and partner changes needed to move faster. Publicis Sapient presents it as a guide for building speed, resilience, and growth.
Who is this report for?
The report is for enterprise IT and business leaders. It is aimed at executives responsible for modernization strategy, transformation outcomes, and partner decisions. The content is especially relevant for leaders trying to break free from legacy constraints and evaluate how AI can support enterprise change.
What problem does the report address?
The report addresses tech debt as a business problem, not just an IT issue. Publicis Sapient describes tech debt as a structural liability that slows innovation, drains budgets, and locks organizations into operating models that cannot keep up. The report focuses on how enterprises can break that cycle and modernize more effectively.
How large is the tech debt challenge described in the research?
The research describes accumulated tech debt across Global 2000 enterprises as roughly $1.5 trillion to $2 trillion. Publicis Sapient and HFS Research use that scale to show why legacy technology has become a major barrier to innovation, agility, and growth. The report positions modernization as an urgent business priority rather than a gradual clean-up effort.
Why does Publicis Sapient say incremental modernization is no longer enough?
Publicis Sapient says incremental modernization is no longer enough because layering new technology onto old foundations does not remove the underlying constraints. The source material says many enterprises remain anchored to systems and operating models that were not designed for today’s speed, agility, or intelligence needs. The report calls for more fundamental rebuilding and operating model change.
What does the research say about AI’s role in overcoming tech debt?
The research says AI is widely seen as the breakthrough needed to improve modernization outcomes. More than 80% of senior executives polled said AI is the catalyst needed to overcome entrenched technical debt. At the same time, the report stresses that technology alone is not enough without mindset shifts and bold decisions.
How many leaders informed the report?
The report is based on insights from more than 600 IT and business leaders worldwide. Publicis Sapient uses that research base to show how organizations across industries are thinking about modernization, AI adoption, and service model change. The report is positioned as both research-backed and practical.
What are the main findings buyers should know from the report?
The main findings are that AI is seen as a critical modernization enabler, incremental change is failing to deliver enough progress, and buyers want more transformational service models. The source also highlights that many organizations have not yet scaled AI across multiple functions and that a large share of leaders are willing to switch providers for better AI execution and leadership. Publicis Sapient frames this as a shift away from effort-based services and toward measurable outcomes.
What barriers to AI adoption does the report identify?
The report identifies talent shortages, difficulty integrating AI with legacy systems, data quality and governance issues, regulatory and ethical concerns, uncertainty around ROI, and resistance to change. It also points to disconnects between IT and business leaders that can slow progress. The source presents these barriers as organizational and operational issues as much as technical ones.
What is services-as-software in this context?
Services-as-software refers to a shift toward technology delivering services with less reliance on traditional staff-heavy service models. The term is attributed in the source to HFS Research and is described as a move away from staff augmentation and toward AI-led service delivery. Publicis Sapient presents it as an emerging direction for enterprise modernization.
Why does the report emphasize AI-led service models and outcome-based partners?
The report emphasizes AI-led service models because traditional providers are often focused on maintaining legacy systems rather than driving transformation. Publicis Sapient says too many service models still optimize for effort instead of outcomes. The report argues that buyers increasingly want partners measured by transformation results, business value, and modernization impact.
What are the five moves for AI-native leaders in the report?
The report identifies five moves for AI-native leaders. Those moves are treating tech debt like financial debt; building around AI instead of bolting it on; moving from labor-first outsourcing to outcome-based partners; pricing for business value rather than effort; and redesigning roles, processes, and culture for continuous AI-driven reinvention. Publicis Sapient presents these as leadership choices, not just technical tasks.
What does it mean to treat tech debt like financial debt?
It means managing tech debt as a visible business liability that should be tracked, prioritized, and reduced based on business value. The source says leaders should inventory debt, assess its cost, evaluate its risks, and understand how it constrains growth. This turns modernization into a portfolio of business decisions rather than a vague IT spending category.
What kinds of debt does Publicis Sapient say organizations should address?
Publicis Sapient highlights more than just technology debt. The source materials also refer to data debt, process debt, skills debt, and cultural debt as barriers to modernization and AI adoption. Together, these debts affect delivery speed, governance, operating effectiveness, and the ability to create sustainable AI value.
Why does the source say mindset and culture matter as much as technology?
The source says mindset and culture matter because technology alone will not deliver transformation. Publicis Sapient repeatedly links progress to changes in roles, processes, behaviors, and operating models. In practical terms, AI may enable modernization, but leadership and organizational change determine whether that modernization succeeds.
What is Sapient Slingshot?
Sapient Slingshot is Publicis Sapient’s AI-powered software development platform and delivery model for modernization. Publicis Sapient says it is designed to support faster modernization, reduced tech debt, and systems built for adaptability. In the source materials, Slingshot is positioned as a key part of how Publicis Sapient approaches AI-powered delivery.
How does Sapient Slingshot help with modernization?
Sapient Slingshot helps by automating and accelerating work across the software development lifecycle. The source says it can support activities such as code conversion, testing, deployment, and broader modernization work while helping teams move from legacy environments to modern architectures. Publicis Sapient presents it as a way to rewire how modernization gets done, not just speed up isolated tasks.
What capabilities does Sapient Slingshot include?
Sapient Slingshot includes prompt libraries tailored to client-specific needs, persistent context binding across the software development lifecycle, dynamic or adaptive agent architecture, and intelligent workflows that orchestrate work across the lifecycle. The source also describes it as helping keep software artifacts grounded in the right logic. Publicis Sapient positions the platform as secure, context-aware, and scalable.
What is Bodhi and how does it relate to Sapient Slingshot?
Bodhi is Publicis Sapient’s enterprise-scale agentic AI platform, and Sapient Slingshot is built on it in the core report materials. Publicis Sapient says the two work together to enable secure, context-aware, and scalable transformation. In related source content, Bodhi is also described as helping organizations build the data, governance, and orchestration foundation needed to scale AI.
What is the SPEED model mentioned in the source?
SPEED is Publicis Sapient’s multidisciplinary model spanning Strategy, Product, Experience, Engineering, and Data & AI. The source says these teams connect business goals to technical execution end to end. Publicis Sapient uses SPEED to show that modernization should combine business, product, engineering, and AI capabilities rather than sit in a single silo.
What outcomes does Publicis Sapient say its modernization approach is designed to deliver?
Publicis Sapient says its approach is designed to deliver faster modernization, reduced tech debt, and systems built for adaptability. Across the source materials, it also links AI-driven modernization to operational agility, faster time to market, improved efficiency, and better customer and employee experiences. The emphasis is on outcomes that matter rather than effort consumed.
What should buyers expect from the full report?
Buyers should expect executive insight, practical takeaways, and research-backed guidance on how to escape tech debt. The source says the report includes hard data from more than 600 leaders, explains why incremental change is failing, and outlines five moves for AI-native leadership. It is positioned as a blueprint for organizations that want more than technology overlays.