Learnsignal

33 questions. 5 sections. 90-day action plan.

The Learnsignal Finance AI Readiness Checklist helps Finance Directors assess exactly where their team stands — and what to do about it.

Sections:
1. Skills Assessment (8 questions)
2. Tool Readiness (7 questions)
3. Governance & Compliance (8 questions)
4. Training Programme Readiness (10 questions)
5. 90-Day Action Plan

Free download — no email gate.

If your scores reveal gaps, we're happy to walk through what a Learnsignal programme would look like for your team.

https://bit.ly/4u0WSoD

The GloBE Information Return requires entity-level ETR calculations, top-up tax determinations, and safe harbour assessments. That's new territory.

The GIR doesn't fit into existing reporting workflows. You're calculating Effective Tax Rates per constituent entity under OECD GloBE rules, applying substance-based income exclusions, and determining top-up tax under IIR, UTPR, or QDMTT depending on jurisdiction. Finance controls the inputs: covered taxes, qualifying income, carve-out documentation.

The transitional CbCR safe harbour may buy time, but it doesn't build capability. When it expires, groups without internal GloBE expertise will struggle to reconcile financial and GloBE calculations during filing.

CFOs who delegate this entirely to tax will own the data quality issues that surface in year one. Understanding how these rules interact with your structure and consolidation systems is a finance function responsibility.

Learnsignal's Pillar Two training is designed for finance leadership teams managing this transition.

If you're a Finance Director, CFO, or L&D lead responsible for an accounting or finance team — this is for you.

We've built a B2B Finance AI Training programme that gives your team:

✅ 213+ CPD-accredited AI courses for finance professionals
✅ Role-specific learning paths (FP&A, tax, audit, compliance, management accounting)
✅ Flexible delivery: self-paced library, live bootcamps, or fully bespoke in-house
✅ ICAI recognised, ACCA & CIMA accreditation in progress
✅ A structured 90-day onboarding plan to drive real adoption

We're currently talking to teams of 10–200+ across Ireland and the UK.

If you want to see what it looks like for your team — 20 minutes, no sales pitch.

DM me or book via the link below.

https://bit.ly/43ylN86

40+ jurisdictions. One GloBE Information Return. Most finance teams are filing it for the first time.

The GIR requires constituent entity-level data, Effective Tax Rate calculations, and safe harbour assessments under the OECD GloBE Model Rules. For multinational groups subject to IIR, UTPR, or QDMTT regimes, the filing obligation is more complex than standard corporate tax returns.

First-time filers are learning that the GIR depends on allocation methodologies and substance-based income exclusion computations that don't exist in legacy systems. The data cuts across entities, jurisdictions, and periods in ways that challenge both tax and finance functions.

Groups filing for FY2024 are working through this coordination now. The learning curve is steep, and the filing deadline does not move.

Structured preparation reduces risk and internal pressure.

Not all AI use cases in finance are equal.

The organisations getting real value from AI are focused on three specific areas:

1. Intelligent financial close — cutting 8–10 day close to 3–4 days.
2. Dynamic FP&A modelling — AI handles the reforecast; leaders do the thinking.
3. Continuous compliance monitoring — no more quarter-end firefighting.

What these have in common: they eliminate specific, painful, recurring problems that finance professionals deal with every week.

Before buying any new AI tool, ask: which of our biggest time drains would this directly eliminate? If you can't answer that clearly, you're not ready for the tool yet.

Not all AI training is created equal.

Generic platforms teach you how to use ChatGPT.

They don't teach you:
→ When NOT to use a public AI tool on a client file
→ How to validate AI-generated financial analysis before it goes in a report
→ How to document AI usage for audit purposes
→ How AI applies to your month-end close, your tax prep, your FP&A cycle

Finance operates in a regulated environment. The training needs to account for that.

Learnsignal is built by qualified accountants and finance professionals, ICAI-accredited, and covers 213 AI courses mapped to real finance workflows.

That's the difference.

https://bit.ly/4dxDtqs

The transitional CbCR safe harbour reduces your GloBE burden — it doesn't eliminate your preparation obligation.

Finance teams using the transitional CbCR safe harbour to defer GloBE Information Return filing still need the underlying data. You must calculate jurisdiction-level ETRs to qualify for the safe harbour in the first place. You need constituent entity data to apply the test. And when safe harbour protection expires — through threshold breach, M&A activity, or the end of the transitional period — GIR-readiness is required immediately.

The OECD GloBE Model Rules do not allow a compliance gap. Safe harbour defers filing, not preparation. If your team treats these years as a data holiday, you will face significant pressure when Income Inclusion Rule or QDMTT obligations activate. The infrastructure work remains non-negotiable.

Ensure your finance function can support full GloBE compliance the moment safe harbour relief ends.

IFRS 18 is mandatory from 1 January 2027 — and your 2026 comparatives are already in scope.

Most finance teams are treating this as a 2027 problem. It isn't. Three things need attention before year-end: your chart of accounts may not map to IFRS 18's five new P&L categories; any non-GAAP metrics you publish (adjusted EBITDA, underlying profit) now require formal definition and reconciliation in the notes; and your 2026 close needs to capture data in the new structure from the start, not retrofitted later.

If you're studying ACCA SBR, it's examinable from September 2025.

Finance teams spend an average of 19 hours per month on month-end close.

Two and a half full working days — spent reconciling spreadsheets, chasing approvals, and compiling data that already exists somewhere in your systems.

Most of that work is automatable right now, with tools many finance teams already have.

Automated reconciliations with exception-only flagging.
First-draft variance commentary pulled from your own data.
Real-time cash flow visibility — not a month-end snapshot.
AP processing without the manual invoice matching.

The question for finance leaders isn't 'should we be adopting AI?' The real question is: why haven't we trained our people to use what we've already paid for?

What does your month-end close actually look like right now?

Finance teams that invest in structured AI training consistently report faster close cycles, stronger forecast accuracy, and higher staff retention.

The investment required: structured, role-specific training that maps to how your team actually works. Not a generic AI course. Not a lunch-and-learn.

Learnsignal's Finance AI Training programme is built for exactly this — 213 courses, CPD-accredited through ICAI, with self-paced and live bootcamp delivery options.

If you're a Finance Director or CFO thinking about AI training for your team in 2026, worth a conversation.

https://bit.ly/3Pmx8F6