A hands-on executive strategy session by Microsoft and Visionet to identify high-value Agentic AI opportunities and define a responsible path toward enterprise-scale transformation.
Join us for an Agent in a Day workshop, where a Microsoft Certified Partner will help you get started with Microsoft Copilot Studio!
Enterprises have invested heavily in modernizing contact centers. Cloud migrations, omnichannel platforms, bots, and analytics were meant to transform customer service.
Yet for many organizations, the results haven’t matched the investment.
Costs continue to rise. AI pilots stall. Customer experience remains inconsistent. Leadership teams find themselves reacting to problems instead of staying ahead of them.
The insurance industry has spent the last decade digitizing surfaces. For Property & Casualty (P&C) carriers in particular, rising claims severity, catastrophe volatility, and underwriting margin pressure are exposing the limits of surface-level digitization. What is different - heading into 2026 is where transformation is happening. AI is moving inside operational cores: CRM decisioning layers, data platforms, and infrastructure orchestration.
The insurance industry rarely changes overnight. Whether it is regulatory complexity, product proliferation, legacy infrastructure drag, or growing expectations for hyper-personalized experiences, it accumulates pressure quietly.
For Life & Annuities (L&A) carriers, that pressure has reached a tipping point. Operating models designed for stable actuarial cycles are now expected to support near real-time decisioning, continuous risk recalibration, and always-on digital ecosystems.
A Microsoft & Visionet in-person executive workshop to identify high-impact AI agent use cases and move beyond experimentation.
Wie internationale Unternehmen wie Geberit ihre Prozesse mit Microsoft Dynamics 365 transformieren
Integrated Evidence Planning (IEP) has never lacked rigor. What it has lacked is coherence.
For years, IEP has been executed through structured templates, static plans, and cross-functional discussions focused on aligning studies, analyses, and publications to an asset milestone. The intent was sound. The execution was disciplined. Yet outcomes often fell short when evidence met real-world decision-making.
For years, Integrated Evidence Planning (IEP) has carried a paradox at its core. It is one of the most strategic levers in life sciences, yet the way it has been executed often feels operational, fragmented, and reactive. Teams build structured plans, populate spreadsheets, and align across functions with rigor and expertise. And yet, when a pivotal HTA decision challenges comparator choice, or when a payer questions endpoint relevance, the same thought resurfaces - we could have seen this coming.
Enterprise AI adoption is accelerating, but real execution still lags.
Frontier Firms represent a new kind of organization, where AI is embedded directly into how work gets done, decisions are made, and outcomes are delivered. Instead of stopping at pilots and copilots, these enterprises redesign execution so humans and AI agents work together at scale.
This white paper explores how Frontier Firms are redefining enterprise digital transformation by shifting focus from experimentation to execution.
