In a market where core-system functionality is increasingly converging and becoming table stakes, the long-term differentiator is not simply whether a vendor can demonstrate AI capabilities today; it is if they have the vision, financial strength, product strategy, and AI-enabled operating model to adapt and scale to customer demands as the market moves.
Insurers and pension administrators must change their approach to evaluating core solutions and partners to evaluate them on two dimensions simultaneously.
- First, the AI product strategy. Do they have both the AI Framework and embedded and immersive AI capabilities? Are they embedding or are they bolting on?
- Second, their operating model. Are they using AI internally to become faster, higher quality, more cost-efficient, and adaptive to enhance customer value?
This creates a strategic and operational partner-risk issue that goes well beyond legacy RFP feature-function checklists. A vendor can appear viable in the short term and still be structurally impaired—financially, in product strategy, and operationally—in ways that matter enormously over a five- to ten-year relationship.
In this report, we examine what defines an AI-centric software company and how insurers and pension administrators need to rethink their core system partners focused on a dual mandate: embed AI deeply in software products while also transforming the operating model behind them. Organizations that advance on both fronts can connect human expertise and AI execution, improve speed and quality, and deliver more consistent customer value.
Download this Thought Leadership to further understand:
- Why you should aggressively reassess every technology dependency through the lenses of financial and operational resilience, including AI-centric software solution partners. They should be asking themselves, “What partner best prepares us for the future?”
- What questions to ask solution partners that matter in partner selection?
- Why should a partner have an AI-enabled operating model that will let it keep improving quality, speed, and economics rather than falling behind?
- Which partner is structured not only to ship AI, but to sustain AI innovation?