CXO · Board · Head of Data
CDO
Board-level data & AI leadership without a full-time CDO.
90 days to frame data & AI, deliver , set governance controls, and ship a 12‑month roadmap in 1–2 days/week.
Agents are automated analysts that produce decision-ready artifacts (scorecards, business cases, policy drafts) under executive accountability.
What you get
- Decision artifacts
- Audit trail / governance
- Executive sign-off
Expected outcomes
- • Board-ready Decision Packs
- • AI risk register + policy
- • 12‑month roadmap aligned to P&L
Deliverables
- • Prioritized ROI backlog with owners
- • AI/Shadow AI policy + risk register
- • 90‑day plan + 12‑month roadmap
KPIs
- • 2–5% margin/cost‑avoidance target
- • AI risk coverage
- • Decision Pack adoption
Engagement
1–2 days/week, 90‑day exit plan, renew only on delivered proof.
Indicative range : 10,000 € – 28,000 € / month.
FAQ
What does it cost?
€10,000–€28,000/month depending on scope and cadence (1–2 days/week).
What do we get in 90 days?
Three Decision Packs, an AI risk register, an AI policy, and a 12‑month roadmap.
What happens after 90 days?
Optional renewal only if KPIs and deliverables are validated.
How quickly will we see impact?
Expect 1–3 quick wins within 90 days, with measurable KPIs and named owners.
Does this replace my data team?
No. Works with or without a data team. If you have one, we align it and accelerate delivery. We own delivery; your teams own domain decisions.
How do you handle sensitive data and AI risk?
We define data classes, an AI acceptable‑use policy, and a monitored LLM gateway before regulated data is used.
Media
Last updated
February 15, 2026
Executive summary
- 90 days to Decision Packs plus AI governance controls.
- ROI target 2–5% or cost avoidance tied to P&L.
- Risk register, policy, and named owners.
- Stack rationalization with guardrails that preserve speed.
Key stats
2–5%
ROI target (90 days)
20–40%
Stack savings
3
Decision Packs
12m
Roadmap horizon
1–2 days/week
Cadence
1–3
Use cases
1
Risk register
1
AI policy
100%
Gateway coverage
100%
Owners assigned
4
Data SLAs
6
Ops KPIs
-30%
Decision time
-30%
Data MTTR
2
Pilot cycles
2
Weekly steering
3
Board checkpoints
100%
Shadow AI coverage
100%
LLM logging
90 days
Exit plan
1
Budget guardrails
100%
Risk owners
4
Compliance checks
90%
Adoption targets
100%
KPI baselines
“We stopped debating dashboards and started approving decisions. The board finally had clarity on ROI, owners, and risk in a single pack.”
Who it is for
Built for mid‑market and enterprise teams that need board‑level data leadership without a full‑time hire.
You keep execution in‑house; we provide decision clarity, governance, and a repeatable operating model.
What happens in the first 90 days
Weeks 1–2: stakeholder interviews, data inventory, and baseline KPIs.
Weeks 3–6: Decision Packs with options, impact, risks, and owners; governance controls go live.
Weeks 7–12: validate pilots, update ROI assumptions, and deliver the 12‑month roadmap.
Decision Pack, defined
A Decision Pack is the board brief: the decision, options, expected impact, risks, and the accountable owner.
It replaces slide decks with auditable decisions and repeatable outcomes.
Operating model & accountability
Weekly steering keeps owners aligned and decisions moving.
We integrate with finance and risk committees to keep ROI and governance board‑grade.
Scope checklist (first 90 days)
This checklist keeps scope explicit and ensures leadership sees tangible outputs, not just analysis. Each item has an owner and a measurable KPI or risk control.
- Decision Pack template validated by finance and sponsor.
- Baseline KPIs documented for the first three use cases.
- Owners assigned for each KPI and Decision Pack.
- AI acceptable‑use policy published and acknowledged.
- Data classification rules applied to critical domains.
- LLM gateway routing enabled for approved tools.
- Risk register created with owners and mitigation plans.
- Board reporting cadence agreed with audit/risk committee.
- Use‑case backlog scored by value and complexity.
- Handover plan documented for internal leaders.
Roles and accountability
Fractional CDO works only when ownership is explicit. We map decision rights across finance, data, and operations to prevent blocked approvals.
These roles are typical for mid‑market teams. The key is clear decision rights and KPIs, not bureaucracy.
- Executive sponsor: validates scope, budget, and risk posture.
- Finance owner: validates baselines and ROI measurement method.
- Data lead: accountable for SLAs and pipeline reliability.
- AI risk owner: accountable for AI policy and risk register.
- Business owner: approves each Decision Pack.
- Security/legal: reviews data classes and AI compliance controls.
- Delivery lead: runs pilots and weekly execution reporting.
- Ops owner: tracks cost savings and process impact.
Sources
- EU AI Act (Regulation EU 2024/1689).
- NIST AI Risk Management Framework (AI RMF 1.0).
- OECD Principles on AI (2019).