[{"data":1,"prerenderedAt":207},["ShallowReactive",2],{"topic-finance-systems-delivery":3,"topic-faq-finance-systems-delivery":157,"topic-nav-counts-finance-systems-delivery":202},[4,15,20,25,30,35,44,49,56,62,68,73,79,84,89,94,98,104,109,113,118,123,128,132,139,145,151],{"path":5,"title":6,"description":7,"type":8,"language":9,"date":10,"order":11,"cluster":12,"minRead":13,"cornerstone":14},"\u002Fblog\u002Fdecision-log-and-change-control","Decision Log & Change Control for Finance Systems","Finance-system projects fail on forgotten decisions and uncontrolled change. Running a decision log and change control: choices traceable, changes deliberate.","pattern",null,"2026-07-28",5.9,"execution",5,false,{"path":16,"title":17,"description":18,"type":8,"language":9,"date":10,"order":19,"cluster":12,"minRead":13,"cornerstone":14},"\u002Fblog\u002Fdefect-triage-and-exit-criteria","Defect Triage & Exit Criteria for Finance Go-Lives","How to run defect triage on a finance-system project: severity vs priority, blockers, accepted defects and workarounds, and the exit criteria that gate go-live.",7.5,{"path":21,"title":22,"description":23,"type":8,"language":9,"date":10,"order":24,"cluster":12,"minRead":13,"cornerstone":14},"\u002Fblog\u002Ffinance-systems-environment-strategy","Finance Systems Environment Strategy: Dev to Prod","How to design the environment landscape for a finance-system rollout — Dev to Prod — what data lives where, how config is promoted, and who owns each gate.",6.5,{"path":26,"title":27,"description":28,"type":8,"language":9,"date":10,"order":29,"cluster":12,"minRead":13,"cornerstone":14},"\u002Fblog\u002Foperational-readiness-and-acceptance","Operational Readiness & Acceptance for Finance Systems","Passing go-live isn't being ready to run. How to prove operational readiness — support, monitoring, runbooks, ownership — and get acceptance before handover.",8.2,{"path":31,"title":32,"description":33,"type":8,"language":9,"date":10,"order":34,"cluster":12,"minRead":13,"cornerstone":14},"\u002Fblog\u002Ftest-data-management","Test Data Management for Finance-System Projects","Tests are only as good as their data. How to build test data for a finance-system rollout — representative volume, edge cases, anonymization, golden datasets.",6.7,{"path":36,"title":37,"description":38,"type":39,"language":9,"date":40,"order":41,"cluster":42,"minRead":43,"cornerstone":14},"\u002Fblog\u002Fagile-vs-waterfall-for-finance-systems-delivery","Agile vs Waterfall for Finance-Systems Delivery","How to choose a delivery approach for finance systems — why pure agile strains against a hard cutover, and why a hybrid spine usually wins.","text","2026-07-24",0.5,"foundations",6,{"path":45,"title":46,"description":47,"type":39,"language":9,"date":40,"order":48,"cluster":12,"minRead":43,"cornerstone":14},"\u002Fblog\u002Fconfiguration-vs-customization-finance-systems","Configuration vs Customization in Finance Systems","Configuration fits your process using shipped settings; customization builds bespoke — a permanent liability paid at every upgrade.",5.2,{"path":50,"title":51,"description":52,"type":39,"language":9,"date":40,"order":53,"cluster":54,"minRead":55,"cornerstone":14},"\u002Fblog\u002Fgovernance-and-steering-for-finance-programmes","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.",10,"governance",4,{"path":57,"title":58,"description":59,"type":39,"language":9,"date":40,"order":60,"cluster":61,"minRead":43,"cornerstone":14},"\u002Fblog\u002Fhypercare-and-post-go-live-stabilization","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.",8.5,"post-go-live",{"path":63,"title":64,"description":65,"type":39,"language":9,"date":40,"order":66,"cluster":54,"minRead":67,"cornerstone":14},"\u002Fblog\u002Fraid-log-risks-assumptions-issues-dependencies","RAID Logs: 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.",9.5,7,{"path":69,"title":70,"description":71,"type":39,"language":9,"date":40,"order":72,"cluster":12,"minRead":43,"cornerstone":14},"\u002Fblog\u002Fsolution-design-and-blueprint-for-finance-systems","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.",5.1,{"path":74,"title":75,"description":76,"type":39,"language":9,"date":77,"order":78,"cluster":61,"minRead":55,"cornerstone":14},"\u002Fblog\u002Fbenefits-realization-for-finance-systems","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.","2026-07-23",9,{"path":80,"title":81,"description":82,"type":39,"language":9,"date":77,"order":83,"cluster":12,"minRead":55,"cornerstone":14},"\u002Fblog\u002Fchange-management-for-finance-system-rollouts","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.",8,{"path":85,"title":86,"description":87,"type":39,"language":9,"date":77,"order":67,"cluster":12,"minRead":43,"cornerstone":88},"\u002Fblog\u002Fcutover-and-go-live-for-finance-systems","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.",true,{"path":90,"title":91,"description":92,"type":39,"language":9,"date":77,"order":93,"cluster":12,"minRead":13,"cornerstone":14},"\u002Fblog\u002Fdata-migration-for-finance-systems","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.",7.3,{"path":95,"title":96,"description":97,"type":39,"language":9,"date":77,"order":13,"cluster":12,"minRead":55,"cornerstone":14},"\u002Fblog\u002Ffit-gap-analysis-for-finance-systems","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.",{"path":99,"title":100,"description":101,"type":39,"language":9,"date":77,"order":102,"cluster":103,"minRead":102,"cornerstone":14},"\u002Fblog\u002Fhow-to-define-a-measurable-outcome","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.",3,"intake",{"path":105,"title":106,"description":107,"type":39,"language":9,"date":77,"order":108,"cluster":103,"minRead":55,"cornerstone":14},"\u002Fblog\u002Fhow-to-write-good-requirements-for-finance-systems","How to Write Good Requirements for Finance Systems","How to write good requirements: state what the system must do, clearly and testably, without prescribing the solution. Bad requirements are why delivery fails.",4.5,{"path":110,"title":111,"description":112,"type":39,"language":9,"date":77,"order":55,"cluster":103,"minRead":55,"cornerstone":14},"\u002Fblog\u002Fhow-to-write-scope-in-and-scope-out","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.",{"path":114,"title":115,"description":116,"type":39,"language":9,"date":77,"order":117,"cluster":103,"minRead":55,"cornerstone":14},"\u002Fblog\u002Fproblem-statements-vs-solution-requests","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.",2,{"path":119,"title":120,"description":121,"type":39,"language":9,"date":77,"order":122,"cluster":103,"minRead":13,"cornerstone":88},"\u002Fblog\u002Fproject-intake-process-for-finance-and-engineering-teams","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.",1,{"path":124,"title":125,"description":126,"type":39,"language":9,"date":77,"order":127,"cluster":12,"minRead":13,"cornerstone":88},"\u002Fblog\u002Ftesting-strategy-for-finance-systems","Testing Strategy for Finance Systems: SIT, UAT, 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.",5.5,{"path":129,"title":130,"description":131,"type":39,"language":9,"date":77,"order":43,"cluster":12,"minRead":55,"cornerstone":88},"\u002Fblog\u002Fuser-acceptance-testing-for-finance-systems","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.",{"path":133,"title":134,"description":135,"type":39,"language":9,"date":136,"order":137,"cluster":138,"minRead":117,"cornerstone":14},"\u002Fblog\u002F07-cost-of-unclear-ownership","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.","2026-06-18",11.6,"field-notes",{"path":140,"title":141,"description":142,"type":39,"language":9,"date":143,"order":144,"cluster":138,"minRead":117,"cornerstone":14},"\u002Fblog\u002F06-slack-request-to-initiative","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.","2026-06-03",11.4,{"path":146,"title":147,"description":148,"type":39,"language":9,"date":149,"order":150,"cluster":138,"minRead":117,"cornerstone":14},"\u002Fblog\u002F05-commit-before-clear","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.","2026-05-20",11.2,{"path":152,"title":153,"description":154,"type":39,"language":9,"date":155,"order":156,"cluster":138,"minRead":117,"cornerstone":14},"\u002Fblog\u002F03-finance-team-friction","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.","2026-05-13",11,[158,169,180,191],{"path":85,"title":86,"order":67,"faq":159},[160,163,166],{"question":161,"answer":162},"What is cutover in a system implementation?","Cutover is the tightly-planned transition from the old system or process to the new one — migrating the data, switching over, and going live — usually within a short, high-stakes window. It's the sequence of steps that takes you from 'the new system is built and tested' to 'the new system is live and the old one is retired,' and it's governed by a detailed runbook of tasks, timings and owners.",{"question":164,"answer":165},"What is the difference between cutover and go-live?","Cutover is the whole transition process — the migration, the switchover steps, the reconciliation, the checks. Go-live is the specific moment within it when the new system becomes the system of record and the business starts using it for real. Cutover is the journey; go-live is the point of no return along it, usually gated by a formal go\u002Fno-go decision.",{"question":167,"answer":168},"Why is cutover so critical for finance systems?","Because finance carries balances forward, so the opening position in the new system has to be exactly right — every account balance, every open item, every in-flight payment migrated and reconciled to the penny. A lost open invoice or a wrong opening balance corrupts the books from day one and can take months to unwind. Finance cutover is also timed tightly around period-end to get a clean cut, which compresses everything into a narrow, unforgiving window.",{"path":119,"title":120,"order":122,"faq":170},[171,174,177],{"question":172,"answer":173},"What is a project intake process?","A project intake process is the defined way a team receives incoming requests, shapes them into something clear enough to decide on (problem, outcome, scope and owner), and then makes an explicit decision: commit, shape further, pause or decline. It sits before delivery and before commitment, and its job is to turn vague demands into decisions rather than letting work start on a half-understood ask.",{"question":175,"answer":176},"Why do teams need a project intake process?","Because without one, requests arrive as one-liners, get an informal 'yeah, we can do that,' and become commitments before anyone knows the scope, owner or success measure. That drives rework, scope fights and slipped dates. A good intake makes the shaping and the decision explicit and quick, so teams commit to clear work (or decline it early) instead of building against a guess.",{"question":178,"answer":179},"What should a project intake process capture?","At minimum: the raw request as received, the problem it's really solving, the outcome that defines success, what's in and out of scope, who owns the outcome, and the open questions. Those few fields are enough to make an honest decision. The goal is decision-readiness, not a thirty-field form that no one fills in properly.",{"path":124,"title":125,"order":127,"faq":181},[182,185,188],{"question":183,"answer":184},"What is a testing strategy?","A testing strategy is the plan for how a system's correctness will be proven before go-live — which layers of testing will run (unit, system integration testing, user acceptance testing, regression, and often performance), what each layer proves, what data they use, and the entry and exit criteria for each. It ensures testing is deliberate and complete rather than an ad hoc scramble, and that the different kinds of defect — component bugs, integration failures, wrong business outcomes, and breakages of existing function — are each caught by the layer designed to find them.",{"question":186,"answer":187},"What is the difference between SIT and UAT?","System integration testing (SIT) verifies that the connected systems work together correctly — that interfaces move data intact between the ERP, the TMS, the banks and other systems, end to end. It's a technical test of the integrated landscape. User acceptance testing (UAT) verifies that the system does what the business actually needs, run by the real users against real scenarios. SIT proves the plumbing works; UAT proves the result is fit for purpose. You need both — a system can pass UAT in isolation and still fail because an interface silently drops data.",{"question":189,"answer":190},"Why is testing finance systems different?","Because finance testing has to prove not just that functions work but that the numbers reconcile and that data moves intact across integrated systems. A finance system's output is positions, payments and postings that must balance to the penny and tie back to source, so testing has to run real end-to-end scenarios — a full close, a payment run — with realistic data and check the totals, not just click through screens. Integration and reconciliation testing matter far more than in most systems, because a silently dropped record becomes a wrong number in the accounts.",{"path":129,"title":130,"order":43,"faq":192},[193,196,199],{"question":194,"answer":195},"What is user acceptance testing (UAT)?","User acceptance testing is the phase where the people who will actually use a system verify it does what they need, using real business scenarios — the final check before go-live that the system is fit for purpose, not merely technically working. Unlike system or technical testing, which confirms the software functions as built, UAT confirms it solves the business problem, and it ends in an explicit sign-off from an accountable business owner.",{"question":197,"answer":198},"Why is UAT different for finance systems?","Because finance runs on real, reconciling numbers and periodic processes. Finance UAT can't just click through happy paths — it has to run genuine close, payment, revaluation and reconciliation scenarios with realistic data, and the outputs have to actually balance and tie back to source. A finance system that 'works' in a demo but produces numbers that don't reconcile has failed UAT, even if every button functions.",{"question":200,"answer":201},"Who should perform user acceptance testing?","The actual business users who will operate the system day to day — the treasury analysts, accountants and controllers — not the project team, IT, or the vendor testing their own build. UAT only means something when it's done by the people whose judgement of 'fit for purpose' is the one that counts, against scenarios drawn from their real work, ending in sign-off by the business owner accountable for the outcome.",{"enterprise-ai-transformation":67,"ai-workflow-design":43,"enterprise-ai-systems":203,"treasury-management-systems":204,"cash-and-liquidity-management":205,"treasury-risk-management":204,"treasury-systems-architecture":206,"sap-treasury":206,"building-ai-products":206},16,21,31,32,1787475407346]