True change management automation requires an obligations-based approach

Change management is one of the most difficult challenges for Risk and Compliance teams.

Challenges include:
A constant and increasingly dense stream of changes and updates from regulators
The complex and arduous work of vetting everything to identify what applies to your business, and when it does apply, identifying the actions you must take to remain compliant
Manual processes that are slow and error prone, creating backlogs and bottlenecks
Reliance on horizon scanning tools designed for high-level information views and analysis, making them impractical for granular obligations-centric change management programs

Obligations are the key
AscentAI takes a unique, obligations-centric approach to change management. We define an obligation simply as the legal requirement(s) your business needs to comply with as defined by a governing authority or regulatory body. They’re derived from laws, regulations, rules, or standards and are designed to ensure compliance with legal, ethical, and operational norms. Obligations are also often referred to as “requirements”. By focusing on obligations, AscentAI empowers customers to define and comply with regulations that govern their business at a foundational level.

A better way: obligations-based change management

Many firms rely on traditional horizon scanning technology that employs complex taxonomies to identify and organize obligations at a document level. This “top-down search” approach to change management can help to identify relevant content at a high level, but it typically requires extensive follow-on manual research and interpretation. While these solutions can provide indicative data, they do not help you efficiently and accurately process or understand that data.

AscentAI takes a fundamentally different, “bottom-up” approach, by starting with your obligations. This provides a structured, AI-driven solution to managing the overwhelming volume of regulations to which you must adhere; materially reducing the ma

Too many financial services firms manage their regulatory lifecycle through manual processes based on the disconnected evolution of discrete processes and silos. This leads to inefficiency, hidden risks, and a lack of enterprise oversight.