Topic
Delivering Enterprise Finance Systems
How complex finance-systems work actually gets delivered: turning vague demands into clear, reviewable decisions, defining problem, outcome, scope and ownership, and getting through fit-gap, UAT, cutover and hypercare without losing control.
This is the thinking behind Delivery Sheet, grounded in leading real finance-transformation programmes.
Foundations
Intake
Project Intake Process for Finance and Engineering Teams
How a team receives, shapes and decides on incoming work before committing people — the stages, the fields that matter, and four honest decisions.
Problem Statements vs Solution Requests
A solution request tells you what to build; a problem statement tells you why. Converting solutions back to problems is the highest-leverage move in intake.
How to Define a Measurable Outcome
A measurable outcome states what will be true when the work is done, in a way you can verify — a result, not an activity. How to write one, and the traps.
How to Write Scope In and Scope Out
Scope defines what work includes and — crucially — excludes. The 'out of scope' list is the half that prevents scope creep. How to define it from the outcome.
How to Write Good Requirements for Finance Systems
How to write good requirements: state what the system must do — clearly, testably, without prescribing the solution. Bad requirements are why delivery fails.
Execution
Fit-Gap Analysis for Finance Systems
A fit-gap analysis compares what a standard system does against what the business needs — fit, gap, or change the process. Avoiding the customization trap.
Solution Design and Blueprint for Finance Systems
How to turn agreed requirements into a signed solution design before build starts — and why skipping the blueprint is what quietly buys you months of rework.
Configuration vs Customization in Finance Systems
Configuration fits your process using shipped settings; customization builds bespoke — a permanent liability paid at every upgrade.
Testing Strategy for Finance Systems: SIT, UAT and Regression
A testing strategy defines how you prove a finance system works before go-live — unit, SIT, UAT and regression. In finance, the numbers must reconcile too.
User Acceptance Testing for Finance Systems
UAT is where the people who'll use a finance system verify it does what they need, with real scenarios and reconciling numbers. Why finance UAT is different.
Cutover and Go-Live for Finance Systems
Finance system cutover is the tightly-planned transition from old to new — migration, switchover, go-live — in a short, high-stakes window.
Data Migration for Finance Systems
Finance data migration — extract, cleanse, map, load and reconcile into a new system — is the riskiest part of a cutover. Source data is always dirty.
Change Management for Finance System Rollouts
A technically perfect finance system fails if the team won't adopt it. Change management wins that adoption — why finance resists, and how to get it.
Post Go Live
Hypercare and Post-Go-Live Stabilization
Hypercare is the intensive, time-boxed support period right after go-live — and cutting it to save money is a false economy that moves the cost downstream.
Benefits Realization for Finance Systems
Benefits realization confirms a system actually delivered the outcomes it was justified on — not just that it went live. The step almost everyone skips.
Governance
RAID Logs: Managing Risks, Assumptions, Issues and Dependencies
A RAID log tracks a programme's risks, assumptions, issues and dependencies — and works only when you actually mitigate and chase them, not file them.
Governance and Steering for Finance Programmes
Programme governance steers a large finance-systems programme — the decision structure, cadence and escalation. Good governance keeps a big programme unblocked.
More in this topic
The cost of unclear ownership in enterprise delivery
When no one owns the outcome, delivery slips in the seams — invisibly on every status report, until it's too late to fix cheaply.
Turning a Slack request into a decision-ready initiative
How to take a one-line ask and shape it into something a team can commit to — or decline — in a few minutes, not a few meetings.
Why teams commit before the request is clear
The pressure that turns a one-line ask into a commitment before anyone knows the scope — and the bill that shows up weeks later.
The friction tax on finance teams
Finance teams move slowly not because the math is hard, but because every number has to be defended. The real bottleneck is provenance, not compute.
Follow the build → — one practical finance-systems pattern, product decision or build lesson every two weeks.