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Strategy · AI Governance

FORFIRM Consulting SA | Strategy

AI Convergence Governance

Business, IT, Data, People. One objective. No overlap.

From AI Experiments to Enterprise Scale

01 Abstract

Organizations are rapidly adopting GenAI and Agentic AI, yet few are successfully scaling capabilities across the enterprise. The challenge is no longer technology adoption. It is the ability to align business priorities, operating models, governance and people behind a common transformation agenda. While 52% of organizations are already piloting or using Agentic AI, only 23% have achieved scaled adoption, highlighting a growing execution gap between experimentation and enterprise value realization.

FORFIRM's AI Convergence Governance framework closes this gap by bringing together Business, Data, IT and People around one shared objective, with clear accountabilities and no overlap in responsibilities. The framework starts from the business outcome, redesigns the process before selecting the technology and embeds governance, compliance and change management from the beginning. For Agentic AI, the objective is controlled autonomy: risk-tiered agents operating within guardrails, human-in-the-loop controls, auditability, rollback procedures and continuous monitoring. Aligned with FINMA expectations, Swiss data-sovereignty requirements and, where applicable, the EU AI Act and DORA, the framework provides a structured path from strategy and use-case identification to controlled deployment, measurable business outcomes and enterprise-wide scaling.

52%

of organizations already piloting or using Agentic AI

23%

have achieved scaled adoption - a critical execution gap

02 Ecosystems Impact

Operating Model Dimensions

Business

Processes & Business Value

• Definition of measurable objectives

• Process discovery

• AS-IS/TO-BE redesign and business KPIs

IT

Architecture, Data Foundation & Integration

• Secure integration

• Swiss data sovereignty, access controls, logging, cybersecurity and monitoring

People

Adoption & Competencies

• Change impact assessment & inside training

• AI ambassadors

• Clear accountability and human oversight

Governance

Risk & Regulatory Control

• AI Governance Board

• Risk tiering

• Auditability

• Human-in-the-loop

• Regulatory alignment

The 4 Pillars of Convergence Governance

Business Alignment

Start from a measurable business objective, identify the process where value is generated and define the business case and success KPIs before selecting the technology.

Agentic AI Controls

Classify every agent through risk tiering and embed active guardrails, audit trails, personal data protection, human oversight and centralized control mechanisms to enable controlled autonomy.

Architecture & Data

Design a secure architecture based on verified enterprise data, RAG and vector databases, ensuring Swiss data sovereignty, cybersecurity and safe integration with existing systems.

Responsibilities & Method

Define clear ownership through a RACI model, maintain the No Overlap principle and coordinate Business and IT throughout the Proof of Concept and the end-to-end delivery process.

1

Business Objective

Define the expected business impact and success criteria at the beginning of the initiative.

2

Process Identification

Identify where value, inefficiencies and operational risks originate within the selected process.

3

Process Redesign

Design the workflow, decision points, responsibilities and interaction between people and AI.

4

Implementation

Integrate GenAI into existing applications, data environments and operational systems.

5

POC & Validation

Test the solution in a real process and validate both technical performance and business KPIs.

6

Scale & Adoption

Extend the solution across the organization through governance, monitoring, training and improvement.

03 The FORFIRM Service

1

Scoping & Business Alignment

Cross-functional workshop to define the objective, target process, owners and success metrics before any tooling decision.

2

Process Redesign & Governance

AS-IS / TO-BE mapping, RACI, AI Board, risk tiering and compliance controls embedded by design.

3

Architecture, Data & POC

Readiness, vendor and tooling selection, Swiss data sovereignty, secure integration and Business + IT co-led validation.

4

Scale, Adoption, Continuous Control & Value Monitoring

Rollout, training, Control Tower, production monitoring, governance reviews and continuous improvement.

04 Why FORFIRM

Swiss-Based Delivery. Local presence in Lugano and Zurich, with multidisciplinary expertise across strategy, data, IT and transformation.
Your data stays in Switzerland. Assessment materials and evidence handled locally, under Swiss confidentiality standards.
Proximity. Assessment activities conducted under Swiss confidentiality standards with local presence and multilingual support.
Swiss regulatory fluency. Expertise across FINMA expectations, DORA, the EU AI Act and Swiss data-sovereignty requirements.
Controlled autonomy. We help organizations deploy AI agents with guardrails, human oversight and continuous monitoring.

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