... Redesigning work for AI impacts the talent pipeline and employee experience. CHROs should use this framework to anticipate the talent-related risks of redesigning work, assess how likely they are to impact the business, and create an action plan for those that require a response. Insights at a Glance ...
Analyst(s): Caitlyn McDonough | Katie Sutherland
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... to date on the latest developments in AI for software engineering and their implications for your organization. In our monthly AI briefing for March 2026, learn about Claude Code’s Agent Teams, the rise of agent harnesses, and runtime-generated experiences with AI agents. Analysis Research Highlights ...
Analyst(s): C.A. Swan | Brent Stewart | Gary Olliffe | Mark O'Neill | Brian Minning
... While service leaders aim to cut costs with AI chatbots, the complexity of natural language and inconsistency of GenAI outputs often undermine ROI. This research provides step-by-step guidance for combining manual testing with agentic AI and other AI-augmentation techniques to maximize chatbot ROI. ...
... Agentic AI is the key to business transformation as innovative insurers reengineer digital and customer experiences and deploy a hybrid workforce model that leverages AI agents with human-centric design. Insurance CIOs must optimize agentic AI use to prepare for organizational transformation. Insights ...
... Relying on AI to expand test coverage leads to missed defects, as AI-generated tests often lack depth and precision. To mitigate this risk, software engineers should use AI mutation testing, an emerging technique, to strengthen unit test effectiveness and deliver robust, reliable software. Overview ...
... supply chains remain in the early stages of agentic AI adoption. This research identifies three key implementation barriers and offers clear recommendations to help CSCOs build strong foundations and choose qualified partners for effective agentic AI pilot programs. Overview Strategic Planning Assumption ...
... engineering leaders need developer buy-in to implement and scale AI across the SDLC, yet many teams resist adoption. Follow these four steps to overcome psychological barriers, build trust, and move developers from skepticism to productive AI use. Insights at a Glance Impact Brief Actions How to Execute ...
... The next wave of AI is moving toward autonomous, goal-oriented agents operating in complex, dynamic environments. To ensure reliability, explainability, and alignment, AI development needs explicit ways to model, track, and govern intent — the goals, constraints, and value commitments driving system ...
... Vendors drive the AI agent agenda in many organizations. Application leaders must reclaim control of their platform roadmaps to differentiate and innovate their business capabilities. For agentic AI, it’s imperative to reduce technology lock-in by decoupling platforms into systems of action, intelligence ...