Give Enterprise AI Clear Ownership, Controls, and Evidence

AI programs need practical rules that delivery teams can apply and business owners can explain. As models and agents enter workflows, organizations must know what is in use, what information it accesses, how it was evaluated, who approved it, and what happens when it fails. GBSI helps create a risk-based governance approach across SAP and non-SAP AI use cases. We turn policy into intake, testing, approval, monitoring, and incident practices that fit the organization.

Why Choose GBSI

Governance should make responsibilities and evidence clear throughout the solution lifecycle.

Risk-based requirements

We match controls to the use case and its potential impact instead of treating every experiment identically.

Accountability

Business, technology, data, security, and risk owners know their decisions and escalation paths.

Operational evidence

Documentation, tests, approvals, and monitoring are built into delivery rather than added after launch.

Common AI Governance Challenges

No AI inventory

An organization cannot govern systems it cannot identify. We establish a record of use cases, models, agents, vendors, owners, and status.

Policies without process

A principle is difficult to enforce without a step in intake, development, release, and review. We turn requirements into workflow.

Unclear approval rights

Teams can disagree about who accepts risk or signs off an outcome. We define decision rights and escalation.

Inconsistent testing

Projects may use different evidence of quality and safety. We establish risk-appropriate evaluation and release criteria.

Limited monitoring

Behavior and data can change after deployment. We define measures, alerts, review cadence, and incident handling.

Vendor and data exposure

Third-party services and sensitive information require explicit assessment. We document access, contractual, and operating responsibilities.

Controls That Teams Can Use in Delivery

GBSI inventories AI initiatives and existing policies, groups use cases by risk, and designs minimum requirements for each stage. We create practical templates for intake, evaluation, approval, monitoring, and exception management. A pilot use case tests the approach with real stakeholders before broader adoption. Legal and regulatory interpretation remains with the client’s qualified advisers.

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