Finance and insurance
AI for regulated financial work with auditability, cost control and data sovereignty
Why now
Finance and insurance organizations work with regulated processes, sensitive information and decisions that must remain explainable. Generic public chatbots do not provide enough control over data location, model routing, audit evidence or human oversight. SAIE gives the organization a controlled way to use AI in everyday work while keeping responsibility, knowledge and compliance inside the organization
Three people who need to say yes
Business owner — faster work on real operational processes
IT / security owner — data, access and model routing remain under control
Compliance owner — evidence, responsibility and audit trail are available from the start
Business scenarios
Budgets and AI cost control
Area: Costs and efficiency
Problem: The organization needs budgets and ai cost control without losing control over data, responsibility or audit evidence
How it works: PROXY:AI supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI
Document analysis with source verification
Area: Knowledge and documents
Problem: The organization needs document analysis with source verification without losing control over data, responsibility or audit evidence
How it works: TWIN:DESK supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: TWIN:DESK
Safe AI work with client data
Area: Security and sovereignty
Problem: The organization needs safe ai work with client data without losing control over data, responsibility or audit evidence
How it works: PROXY:AI supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI
Protection of models against manipulation and abuse
Area: Security and sovereignty
Problem: The organization needs protection of models against manipulation and abuse without losing control over data, responsibility or audit evidence
How it works: PROXY:AI supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI
Full audit trail of AI-supported decisions
Area: Compliance and oversight
Problem: The organization needs full audit trail of ai-supported decisions without losing control over data, responsibility or audit evidence
How it works: PROXY:AI supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI
Conscious approval of AI-supported decisions
Area: Compliance and oversight
Problem: The organization needs conscious approval of ai-supported decisions without losing control over data, responsibility or audit evidence
How it works: CDF supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: CDF
Inventory and risk classification of AI systems
Area: Compliance and oversight
Problem: The organization needs inventory and risk classification of ai systems without losing control over data, responsibility or audit evidence
How it works: PROXY:AI + CDF supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI + CDF
Evidence
Local deployment option, controlled model routing and ISO/IEC 42001 governance foundation
Implementation scenarios based on SAIE capabilities available today and production deployments already delivered by allclouds.pl
How we start
Start with a demonstration for finance and insurance, a Proof of Value on one process, or a ready offer configuration based on the scenarios selected in the wizard