Core Expertise · 05
AI & Data
KSAAC starts from how accounting, finance, actuarial, risk and business work is actually done, then brings in AI and AI agents, machine learning, data analytics and automation to redesign the workflow. Analysis and decision support become faster and more scalable; the final judgment stays with professionals, within defined controls.
Key capabilities
- AI & AI agents (AX)
- Machine & deep learning
- Python-based analytics
- Database applications
What we cover
AI in professional workflows
Bringing AI, including generative AI, into each stage of professional work: reviewing standards, retrieving evidence, analyzing financial information and drafting reports.
AI-agent workflows and AX
Designing and developing agent-based workflows, and treating AI transformation (AX) as a redesign of processes and controls.
Machine learning and Python analytics
Analyzing financial, accounting and insurance data in Python, and building and validating machine-learning models and actuarial and financial calculations.
Automation and workflow redesign
Automating and redesigning recurring work, document analysis, research and reporting.
Database applications and systems
Advising on data structures and information systems for actuarial and accounting work.
AI agents and workflow redesign
The next stage of AI adoption is not simply asking a model questions. It is redesigning the workflow itself, so that AI retrieves information, analyzes it, prepares outputs and works with tools, supporting decisions within defined controls.
KSAAC approaches that redesign with process understanding, professional judgment, and AI and data capability together.
Professional workflow
Understanding the standards, evidence, data and steps of the work
AI, data and automation
Retrieval, analysis, tool use and automation of routine steps
Analysis and decision support
Outputs such as review material, analysis and draft reports
Human judgment and controls
Professional review and the final call, within defined controls
Verifiable
Every result can be traced back to its data and to the rule it applies.
Domain rules first
Accounting standards, actuarial principles and regulatory requirements come before the technology.
Human judgment within controls
AI supports judgment within defined controls; professionals make the final call.
Where AI meets the disciplines
Standards and evidence review, financial analysis, reporting
Experience and assumption analysis, AI-supported modeling
Document review, financial and scenario analysis
Risk data, probabilistic forecasting, decision support
Research, education and KS AI Lab
KSAAC keeps its methods tested through AI-based forecasting research, prototypes and teaching professionals. Exploring and experimenting with emerging technology happens in KS AI Lab.
Explore KS AI Lab