Who this is for
Organizations deploying or planning to deploy AI systems that require structured governance, oversight, and accountability — particularly in regulated or high-impact environments.

What this enables
Clear ownership of AI risks, defined decision rights, and consistent governance across business, technology, legal, and compliance stakeholders.

How FORTEIA supports
FORTEIA designs AI governance frameworks aligned with business objectives, regulatory expectations, and ethical principles. We define governance structures, roles, escalation mechanisms, and lifecycle controls covering data, models, deployment, monitoring, and decommissioning.

What you receive
A documented AI governance framework, operating model, and oversight structure tailored to your organization's risk profile and regulatory exposure.

Typical engagement scenarios
Enterprise AI adoption, regulatory readiness, internal audit findings, board concerns around AI accountability, or scaling AI beyond pilot use cases.

Who this is for
Organizations seeking a formal, certifiable management system for AI governance, risk, and controls in line with emerging global standards.

What this enables
A structured, auditable approach to managing AI risks, responsibilities, and controls across the organization — aligned with regulators, customers, and partners.

How FORTEIA supports
FORTEIA supports ISO/IEC 42001 readiness by assessing current practices, defining the AI management system, and aligning policies, controls, and governance with the standard's requirements.

What you receive
ISO 42001 gap assessment, implementation roadmap, governance documentation, and readiness support for certification or regulatory assurance.

Typical engagement scenarios
AI governance formalization, customer or regulator expectations, alignment with EU AI Act principles, or integration with existing ISO 27001 / GRC frameworks.

Who this is for
Organizations deploying AI systems that may impact individuals, customers, employees, or critical business processes.

What this enables
Early identification of ethical, legal, operational, and reputational risks — supporting informed go/no-go decisions and control design.

How FORTEIA supports
FORTEIA conducts structured AI risk and impact assessments covering data usage, model behavior, bias, explainability, security, and compliance considerations.

What you receive
A documented AI risk & impact assessment, risk classification, and prioritized mitigation recommendations aligned with regulatory expectations.

Typical engagement scenarios
New AI use cases, GenAI adoption, regulatory scrutiny, internal risk reviews, or preparation for AI audits.

Who this is for
Organizations required to explain, justify, or validate AI-driven decisions — especially in financial services, public sector, and regulated industries.

What this enables
Increased transparency, defensibility of AI decisions, and reduced regulatory and reputational risk.

How FORTEIA supports
FORTEIA advises on model risk management, explainability approaches, documentation, and governance controls aligned with regulatory and supervisory expectations.

What you receive
Model risk governance guidance, explainability frameworks, and documentation recommendations suitable for audits and external scrutiny.

Typical engagement scenarios
AI-driven decision systems, supervisory reviews, customer complaints, or internal governance concerns around opaque models.

Who this is for
Organizations needing clear, enforceable policies governing AI development, usage, and third-party AI adoption.

What this enables
Consistent, controlled AI usage across the organization — reducing shadow AI, misuse, and uncontrolled risk exposure.

How FORTEIA supports
FORTEIA designs AI policies, control frameworks, and usage guidelines aligned with governance models, regulatory obligations, and organizational culture.

What you receive
AI policies, control requirements, and governance documentation integrated with existing information security, privacy, and risk frameworks.

Typical engagement scenarios
Enterprise GenAI rollout, employee AI usage concerns, regulatory expectations, or internal governance gaps.