Finance Transformation Intelligence

What is changing in the Office of the CFO — and what to do about it

Understand the changeFrame the decisionSequence the workDefend the plan

Finance transformation is not a software problem. It is a sequence of decisions — what to change, in what order, under which constraints — and most of them are made once, expensively, with no way to check the reasoning afterwards. This is the research library for those decisions: the recurring choices finance leaders face, the journeys that resolve them, and the maturity models that tell you where you actually stand.

IndependentEvidence-backedReviewed Jul 2026Sources 60Methodology
Why this pillar exists

The expensive mistakes happen before anyone opens a vendor website

Automating a process nobody has documented. Bolting a platform onto an ERP that already did the job. Starting an AI programme on data no one trusts. Buying in the middle of a hiring freeze. None of these are software-selection errors — they are sequencing errors, and no comparison table catches them.

Finance organizations commit hundreds of thousands — often millions — to software, consulting and transformation. Those decisions keep getting harder: hundreds of overlapping vendors, an AI wave reshaping every category, implementation ecosystems with their own commercial interests, and analyst research locked behind five-figure subscriptions. We built dilynx because we made these decisions ourselves, as finance leaders. Our objective is not to sell software — it is to help finance leaders decide well, through independent, evidence-backed research.

Decisions, not opinions

Each transformation decision is modelled as an archetype: the conditions that trigger it, the constraints that block it, and how it resolves.

Sequenced, not listed

Journeys are ordered and prerequisite-aware — every stage names the maturity it must reach before the next begins.

Independent by design

Independent — no paid placements. Rankings are never influenced by commercial relationships.

Featured research

Our research formats →
Featured research

Should CFOs Modernise Their Finance Technology Landscape Now — Or Wait for AI-Native ERP?

Finance teams are drafting commentary and analysing variances with AI while the systems underneath still route the work through people. That gap is widely read as a reason to wait for AI-native ERP. We graded six major enterprise finance platforms across eight finance processes on generally available capability. Six of 42 graded…

PerspectiveFinance Data, Systems & Intelligence Reviewed 26 August 2026
Read the Perspective →
Agentic finance is six cells wide — the ERP AI Automation Matrix 2026

Flagship research

Our research formats →

15 publications across 5 finance domains. Every one connects to the capabilities, benchmarks and decisions the rest of the platform reasons over — no isolated content. The AI publications are also gathered, across every AI research theme, on the AI in the Office of the CFO topic hub.

PerspectiveRead →

Standardize Before You Automate — and How to Tell If You Have

Almost every finance leader agrees that a process should be standardized before it is automated. Almost every finance function automates first anyway. The reason is not ignorance — it is that "standardized" is …

Record-to-Report2 themes
FrameworkRead →

Build, Buy, Extend or Wait — The Decision Underneath Every Finance Technology Choice

Most finance technology decisions are framed as a choice between products. That framing has already skipped the actual decision, which is whether to buy a product at all. Four options are always available — bui…

Data, Systems & AI3 themes
FrameworkRead →

The Finance AI Readiness Framework

"Are we ready for AI?" is being asked of finance leaders by boards, and answered badly in both directions — with enthusiasm that has no basis, or caution that has no argument. Readiness is not one thing. It is …

Data, Systems & AI3 themes
PlaybookRead →

Close Acceleration — The Complete Playbook

Close acceleration fails more often from sequencing than from tooling. The work itself is well understood; the order is not. This playbook sets out five stages, each targeting a named capability at a specific m…

Record-to-Report3 themes
Benchmark InsightRead →

What "Good" Looks Like — Reading Finance Benchmarks Without Fooling Yourself

Benchmarks are the most misused instrument in finance management. The median gets adopted as a target, the spread gets ignored, and the peer set goes unexamined. This piece publishes the six distributions we ma…

Operating Model3 themes
PerspectiveRead →

The Cost of Finance Is the Wrong Target

Finance cost as a percentage of revenue is the most common justification for finance transformation and one of the least useful measures of it. It can be improved by doing less, it rewards deferral of investmen…

Operating Model3 themes
FrameworkRead →

Why Finance Transformation Programmes Fail — Nine Failure Modes

Finance transformation programmes rarely fail for interesting reasons. They fail in nine recognisable ways, most of which are visible months before anyone admits them, and most of which are decided before imple…

Operating Model3 themes
Field GuideRead →

Your Data Is Not Ready for AI — A Diagnostic

Finance AI programmes fail on data far more often than on models, and they fail late, after a successful pilot has created momentum and a budget. The reason the failure arrives late is that finance teams have b…

Data, Systems & AI2 themes
PerspectiveRead →

Agentic Finance — What Changes When Software Acts

The distinction that matters in finance AI is not how capable a model is. It is whether its output is a suggestion a human accepts or an action the system takes. Crossing that line changes the control model com…

Governance & Risk3 themes
Research BriefRead →

What AI Actually Does in the Office of the CFO

We analysed the AI positioning of 71 finance software vendors, 50 of which carry curated AI capability analysis in our research base. Three findings stand out. AI claims cluster heavily in two domains rather th…

Data, Systems & AI2 themes
FrameworkRead →

The Finance Transformation Sequence — Why Order Beats Selection

Most finance transformations are argued as a selection problem: which capability, which platform, which partner. The evidence from failed programmes says the binding constraint is almost never selection. It is …

Operating Model3 themes
FrameworkRead →

The Finance Transformation Business Case — Sizing a Number You Can Defend

Finance transformation business cases fail in a specific and repeated way: they present one aggregate number, built mostly from headcount assumptions, at a confidence the evidence does not support. The number i…

Operating Model3 themes
FrameworkRead →

Where the Cash Is Trapped — A Working Capital Diagnostic for the Office of the CFO

"Reduce DSO" is an instruction, not a diagnosis. Cash gets trapped in four structurally different places, and only one of them is fixed by collections effort. Two are not finance problems at all — they originat…

Order-to-Cash3 themes
Executive GuideRead →

The Executive Guide to Finance Operating Model Design

The finance operating model is the largest and least reversible decision a CFO makes, and it is almost always argued at the wrong altitude. The debate is conducted about structure — centralise or federate, shar…

Operating Model3 themes

How this library grows

The architecture above is the destination, published in full today and populated continuously. Nine domains and five research types are permanent structure — new research is added into them, never alongside them. Where a category is still filling, it says so plainly rather than hiding: 2 of the nine domains are in early publication, and each states what it covers and what is in preparation. Nothing here is placeholder text pretending to be research.

Executive Finance Assessment

Where does your finance organisation actually stand?

Reading about transformation is the first act. The Executive Finance Assessment is the second: your organisation's position, your highest-impact move, and the evidence behind it.

Begins with a free Executive Brief — about five minutes, anonymous, no account. Full assessment €59, one-time. It complements the research; it does not replace it.