AI Maturity Assessment — LGG Advisors

How AI-Ready Is Your Organisation?

In just a few minutes, gain a clear, objective view of your organisation's AI capabilities. This free assessment measures your maturity across six critical areas: from ethical governance and data management to technology and business performance. You'll receive in under 5 minutes a personalised maturity score, along with practical, prioritised recommendations to help you move forward with confidence.

Takes approximately 3–5 minutes

From Insight to Impact

Take an honest snapshot of your current AI capabilities and uncover a clear path to evolve into an AI-driven organisation.

6-Pillar Framework

Built on the MITRE AI Maturity Model, the assessment covers six essential dimensions: Strategy, Ethics, Organization & Skills, Technology, Data, and Performance.

Actionable Roadmap

Get tailored, pillar-by-pillar recommendations that clearly outline the next steps required to advance your AI maturity: helping you turn insight into measurable progress.

1 Pillar 1 of 6

AI Strategy & Investment

How clearly is your AI strategy defined, funded, and governed, and linked to finance value-creation priorities?

Level 1 — Initial

No AI strategy or funding; activity is ad hoc and not linked to finance priorities or value.

Level 2 — Experimenting

Early AI ambition; limited pilots funded, but value and finance outcomes remain unclear.

Level 3 — Defined

Funded AI strategy in place with defined priorities linked to value creation and efficiency goals.

Level 4 — Managed

AI managed as a portfolio; spend, value, and risk tracked and aligned to finance KPIs.

Level 5 — Optimised

Dynamic, evidence-led AI investment; resources shift to highest value, driving enterprise impact.

Please select an option to continue.

2 Pillar 2 of 6

Organisation & Talent

How ready are your people, structure, and culture to adopt AI, in skills, roles, and confidence?

Level 1 — Initial

Adoption is ad hoc; no roles, skills, or readiness, relying on a few self-taught individuals.

Level 2 — Experimenting

Interest growing; initial upskilling underway, but capability remains fragmented and informal.

Level 3 — Defined

Defined roles and training exist; teams have skills and clarity to use AI effectively.

Level 4 — Managed

Skills actively managed; AI fluency is embedded, with a culture of improvement and challenge.

Level 5 — Optimised

Continuous learning culture; strong talent combines finance expertise with advanced AI fluency.

Please select an option to continue.

3 Pillar 3 of 6

Technology & Platforms

How mature are the platforms, tools, and controls supporting AI, for reliability, integration, and scale?

Level 1 — Initial

No sanctioned AI tools; use relies on disconnected or unauthorised applications.

Level 2 — Experimenting

Initial tools trialled; limited integration, testing, and support across finance systems.

Level 3 — Defined

Standard tools deployed; integrated with finance systems and tested before production use.

Level 4 — Managed

Tools managed across lifecycle; embedded in workflows and scalable without losing reliability.

Level 5 — Optimised

Platforms continuously improved; enabling rapid, safe rollout of new finance use cases.

Please select an option to continue.

4 Pillar 4 of 6

Data Foundation

How well do your data architecture, quality, and access support AI, with trusted, available data?

Level 1 — Initial

Data fragmented; inconsistent quality and no single view, limiting reliable AI use.

Level 2 — Experimenting

Early data governance; access, ownership, and quality still inconsistent across teams.

Level 3 — Defined

Defined data architecture; ownership, quality, and access support AI across finance processes.

Level 4 — Managed

Data actively managed; quality and access trusted for reporting, forecasting, and analysis.

Level 5 — Optimised

Data treated as an asset; continuously improved and reliably supports all AI use cases.

Please select an option to continue.

5 Pillar 5 of 6

Responsible & Trustworthy AI

To what extent does your organisation ensure that AI use is transparent, fair, and subject to appropriate human oversight?

Level 1 — Initial

No AI principles defined; outputs accepted as-is with no review, validation, or accountability.

Level 2 — Experimenting

Emerging awareness; informal checks exist, but use and review of AI outputs remain inconsistent.

Level 3 — Defined

Documented principles guide AI use; key outputs require human sign-off and are applied consistently.

Level 4 — Managed

Standards embedded; outputs are routinely validated, with clear ownership and escalation paths.

Level 5 — Optimised

Oversight improved via outcomes; all key AI decisions are explainable, defensible, and trusted.

Please select an option to continue.

6 Pillar 6 of 6

Value Realisation & Monitoring

How effectively do you deploy, monitor, and measure AI in finance to deliver quantifiable value, not just activity?

Level 1 — Initial

AI not systematically used; benefits anecdotal with no tracking of value or reliability.

Level 2 — Experimenting

Use cases defined; monitoring emerging, but value and reliability not yet proven.

Level 3 — Defined

Use cases deployed; success measures and performance tracked on key processes.

Level 4 — Managed

Performance and value monitored; outcomes measured and reported to finance leadership.

Level 5 — Optimised

AI delivers measurable value; continuous improvement drives clear, defensible performance gains.

Please select an option to continue.

✓ All Questions Complete

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Your AI Maturity Assessment Results

MITRE Framework Aligned — LGG Advisors

— Maturity

Pillar Breakdown — click to expand

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AI Maturity Assessment Tool

How AI-Ready Is Your Organisation?

From Insight to Impact

6-Pillar Framework

Actionable Roadmap

Your AI Maturity Assessment Results