BEXTIO

INSTITUTIONAL ARTIFICIAL INTELLIGENCE GOVERNANCE

Move from scattered AI use to a structured, measurable and sustainable institutional capability.

01 — Artificial intelligence governance diagnostic

Assess uses, responsibilities, data, vendors and risks; identify action priorities.

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02 — Establishing AI governance — 90-day program

Progressively establish responsibilities, use rules, controls and AI portfolio oversight.

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03 — Ongoing artificial intelligence governance support

Support periodic reviews, system changes, training and continuous improvement.

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Methodological assets supporting the engagement

BEXTIO uses a governance methodology suite during engagements. Master registers, control matrices, detailed procedures and internal evidence packs are not distributed on this website.

Institutional AI governance — service offer

BEXTIO

INSTITUTIONAL ARTIFICIAL INTELLIGENCE GOVERNANCE —

SERVICE OFFER V1.0 Move from fragmented AI use to structured, measurable and sustainable institutional governance capability

1. OUR OBSERVATION AI adoption becomes difficult to control when systems are not inventoried, vendors are poorly assessed, accountability is unclear, data governance is weak or costs are not monitored.

The question is therefore no longer only “How can we use AI?” but “How can an institution use multiple AI systems while retaining control over its data, decisions, risks, vendors and costs?”

2. OUR POSITIONING BEXTIO helps public institutions establish an institutional capability for governing artificial intelligence. Our approach connects strategy, use cases, data, risk, vendors, authorization, evidence, incidents, audit, decisions and reversibility.

3. THREE ENGAGEMENT LEVELS

LEVEL 1 — AI Governance Diagnostic Understand the current situation before building the governance system.

Inventory of systems and use cases.

Vendor and model mapping.

Assessment of data, accountability and risk.

Governance maturity assessment.

Priority remediation actions and roadmap.

Indicative duration: 2 to 6 weeks depending on scope.

LEVEL 2 — 90-Day AI Governance Implementation Program Establish an operational governance capability.

Days 1–15 — Inventory.

Days 16–30 — Classify and secure.

Days 31–45 — Install governance.

Days 46–60 — Control and build evidence.

Days 61–75 — Train and simulate.

Days 76–90 — Operate and transfer.

Main deliverables include the governance framework, acceptable-use policy, registers, G1–G4 classification, A0–A4 autonomy, authorization process, AI Governance Committee, risks, changes, incidents, vendor assessments, audit, reversibility, Evidence Packs, Executive Dashboard and Control Center.

LEVEL 3 — Continuous AI Governance Support Keep governance effective after implementation.

AI Governance Committee preparation and follow-up.

Portfolio and deadline maintenance.

Vendor and model assessment.

System reassessment.

Support for incidents, audits and remediation.

Executive Dashboard maintenance.

4. BEXTIO CLIENT JOURNEY

SCOPING CONVERSATION → DIAGNOSTIC → PRIORITIES → 90-DAY IMPLEMENTATION → HANDOVER →

CONTINUOUS SUPPORT

5. METHODOLOGICAL ASSETS

Institutional AI Diagnostic

Pilot Scoping and Pilot Report

Evidence Pack

Institutional AI Governance Framework

System Register and Authorization Form

Vendor and Model Assessment

Change Management

Incident Management

AI Audit and Compliance Review

Reversibility, Continuity and Retirement

AI Governance Committee Operating Model

Executive AI Portfolio Dashboard

BEXTIO AI Governance Control Center

90-Day Implementation Plan

6. DELIVERY PRINCIPLES

Proportionate — control reflects risk.

Operational — governance works inside real processes.

Measurable — important decisions link to evidence.

Reversible — the institution can change, suspend or exit.

Transferable — the institution builds its own capability.

7. RESPONSIBILITIES BEXTIO may diagnose, structure, facilitate, train, document, assess, build governance tools, prepare decision files and support simulations.

The institution retains final decision authority, risk acceptance, system authorization, responsibility for institutional data and all applicable legal and institutional obligations.

8. PRICING ARCHITECTURE Pricing depends on the number of departments, systems, vendors, G3/G4 systems, document volumes, data complexity, training requirements and requested support.

Diagnostic: quotation after scoping. 90-day program: quotation according to scope. Continuous support: monthly or quarterly retainer or specific assignments.

9. FIRST STEP Request a scoping conversation to understand current AI use, planned projects, departments involved, data, vendors and existing governance maturity.

BEXTIO PROMISE We do not come simply to write an AI policy. We install the mechanisms that enable an institution to know what it uses, what it authorizes, what it measures, what it must correct and what it must stop.