Work Smarter, Not Harder: Top 5 AI Prompts Every Finance Professional in Denmark Should Use in 2025

Denmark's finance teams face a 2025 inflection point: national AI law proposals (introduced 26 Feb 2025, with an expected entry on 2 Aug 2025) and active DDPA/DFSA guidance mean AI use must balance speed with privacy and governance - so prompts aren't just a “neat trick,” they're a compliance-aware skill.

Practical prompt playbooks - from DFIN's suggestions for summarizing data, drafting disclosure notes, and tightening audit checks to Deloitte's framing of “prompt engineering” as a new finance skill - show how concise, stepwise prompts cut close-cycle friction and surface better insights.

Vendors like Concourse demonstrate that a single, well-crafted prompt can shave hours from forecasting, reconciliation, or board prep, while Danish ESG rules push large companies to capture AI-enabled sustainability metrics in reports.

For Danish finance pros, learning to write prompts that respect local data rules and produce audit-ready output is now a competitive necessity.

"This isn't about replacing your ERP or spreadsheets. It's about making them work smarter - unlocking their full value through natural language execution."

Selection began by mining vendor and advisor prompt libraries that show real-world traction - DFIN's practical prompt set for reporting, Concourse's catalog of 30 production-ready prompts, and practitioner lists from Nilus and Glean - then filtering for what matters in Denmark: audit-readiness, ESG/CSRD alignment, BEPS/tax exposure checks, and privacy-safe data handling for local regulators; each candidate prompt had to map to a clear finance use case and measurable KPI (close speed, exception rates, forecast variance).

Next came the test cycle: small pilots run in “shadow mode” against live ERP feeds (the same approach recommended in Workday's 5-step roadmap) to validate accuracy, quantify time saved, and tune prompts for Danish workflows and language nuances - think: a prompt that spots a missing accrual before the auditor's morning call.

Prompts that survived this loop were also evaluated for governance and Responsible AI principles (data quality, vendor controls) inspired by PwC and Grant Thornton guidance, producing the final top five that combine high impact, low risk, and clear audit trails for Danish finance teams.

Read the source lists at DFIN, Concourse, and Workday for details.

"AI tools such as ChatGPT work best when instructed to work on one step at a time."

For Danish finance and sustainability teams, a CSRD & ESG Reporting Assistant prompt becomes the practical bridge between compliance and insight: craft prompts that output ESRS‑mapped disclosure tables, flag missing Scope‑3 supplier data, and generate the machine‑readable tagging required for digital filing so the annual management report is audit‑ready, not an afterthought.

Denmark already transposed CSRD into law on 2 May 2024 and the Danish FSA will supervise financial firms' sustainability reports, so prompts should prioritise traceable audit trails, assurance checkpoints and value‑chain coverage rather than just glossy narratives; see EY's CSRD guidance for the scope and assurance expectations and the Danish FSA overview for supervisory priorities.

Technology matters too: integrate prompt outputs with ERP workflows (for example, ExFlow CO₂ Insights in D365) to turn disparate spreadsheets into ESRS‑aligned datasets - one vivid win is a single prompt that converts a messy supplier emissions file into a tagged table ready for limited assurance, saving the board packet scramble.

Treat prompts as governance tools: include role‑based checks (who verified the supplier emissions), double‑materiality pointers, and exportable evidence folders so disclosures survive scrutiny and create strategic value beyond mere compliance (read the 2025 roadmap for practical steps).

“2025 marks a new era for sustainability reporting – one defined by shifting regulations, digital transparency, and the expectation that companies lead with both ambition and accountability.”

A BEPS Pillar Two & Multinational Tax Exposure Checker prompt turns a sprawling compliance task into a disciplined checklist: instruct the model to pull consolidated revenue and jurisdictional tax data, compute provisional ETRs against the 15% global minimum for groups over €750m, highlight jurisdictions with shortfalls, and flag the most likely GIR data gaps so tax teams can prioritise remediation - no more last‑minute firefights over missing spreadsheets.

Use vendor playbooks like the Wolters Kluwer BEPS Pillar Two software checklist to map required capabilities (data capture, unified platform, secure architecture) and consult PwC's Pillar Two Country Tracker to confirm Denmark's implementation status and deadlines before finalising assumptions.

Because Pillar Two can demand as many as 200 distinct data points, a well‑crafted prompt that surfaces missing fields and ties them to owners and source ledgers can save days of reconciliation and deliver an audit‑traceable trail rather than a guess - turning compliance into a strategic dataset for tax planning and cross‑functional reporting.

“The safe harbor rules allow MNEs to ‘gradually ease into the years when full Pillar Two detailed calculations become mandatory.'”

For Danish FP&A teams, an FP&A Scenario Builder & Action Plan prompt should do more than churn numbers - it must connect driver‑based models, rolling forecasts, and cross‑functional inputs into an xP&A workflow that's audit‑ready and decision‑focused; lean on Workday's FP&A best practices to make a unified data environment the single source of truth, automate low‑value aggregation, and free analysts to model tradeoffs that matter to the C‑suite.

Build prompts that produce base/best/worst scenarios, attach assumptions and source ledgers, flag trigger points and required owners, and export a concise action plan with a reserved pivot budget - effectively turning scenario outputs into executable checklists.

Use modern, AI‑native tools so a single prompt can generate comparable scenarios in hours (not days) and surface the top sensitivities to test with operational partners; that speed is the difference between a board‑ready recommendation and a last‑minute slide deck scramble.

For practical templates and stepwise approaches, see Workday's FP&A guidance and Drivetrain's scenario planning playbook.

“Effective scenario planning isn't ad-hoc brainstorming - it's a disciplined, repeatable process that transforms uncertainty from a threat into a strategic advantage. The most forward-thinking CFOs institutionalize scenario modeling as a core finance competency.”

Danish finance teams need a Regulatory Reporting & Audit Readiness Checker prompt that treats Pillar 3 like a production pipeline: validate source ledgers against the EBA's DPM 4.1 taxonomy, produce XBRL‑CSV quantitative files plus the required human‑readable PDF narratives, and bundle a validation report and contact‑point evidence for the Pillar 3 Data Hub onboarding - because the hub will centralise EEA prudential disclosures and make machine‑readable publish dates (public from December 2025) a hard reality (EBA Pillar 3 Data Hub official page).

Practical prompts should mirror the CRR3 playbook: map templates to source systems (the EBA mapping files), surface missing fields, nominate owners for each row, and auto‑flag DPM validation errors so a single failed tag doesn't trigger a last‑minute scramble or reputational risk (Pillar 3 Disclosure 2025 updates and implications for EU banks).

Pair that prompt with a governance checklist informed by CRR3 implementation guidance - so submissions meet timelines, pass EBA validation, and leave a clear audit trail rather than a stack of PDFs and questions from supervisors (CRR3 supervisory reporting and Pillar 3 disclosure preparation guide).

A Contract & Liability Extractor prompt is the unlock: tell an AI to OCR and parse contracts, extract parties, dates, payment terms, indemnities and renewal triggers, and auto‑draft short stakeholder briefs that map each obligation to a ledger owner and a next‑step - so a scanned 50‑page supplier file becomes a JSON table of actionable items in minutes rather than days.

Modern stacks (from Unstract's LLMWhisperer OCR that preserves layout to enterprise options like Amazon Textract and Foxit's AI PDF tools) feed clean, auditable outputs into CLM/ERP systems and support human‑in‑the‑loop validation; research shows extraction can cut manual review time substantially (ContractPodAi cites up to 50% reductions) while platforms such as Concord report 95%+ accuracy and big drops in data‑entry effort.

For Danish finance teams this matters for GDPR‑aware workflows and audit trails - link contracts to ledgers and retain evidence for supervisors with tools that export JSON/Excel and API hooks (see Trullion audit automation for ledger linkage).

Use prompts that flag high‑risk clauses, assign owners, and generate one‑page briefs for legal, procurement and the board so nobody scrambles at month‑end.

“Concord is my one-stop shop for the entire contract lifecycle. It's Google docs, Microsoft Word, DocuSign and a File explorer, all in one.”

Ready to get started? Treat the conclusion as a short, practical checklist: (1) map the immediate finance use cases and run a shadow pilot in a regulatory sandbox or private cloud, (2) inventory data sources and apply RAG, masking and strict access controls so prompts never leak personal or trade‑secret data, (3) embed human‑in‑the‑loop checks, role‑based owners and explainability checkpoints required by the Danish FSA, DDPA and the incoming national AI bill (introduced 26 Feb 2025, with expected entry on 2 Aug 2025), (4) log queries and outputs for audit trails and regular re‑validation, and (5) train teams on prompt design, governance and risk escalation using a structured syllabus.

For practical governance and stepwise integration guidance, see Chambers' Artificial Intelligence 2025 – Denmark guide and Securiti's nine‑step playbook for responsible AI assistants; for hands‑on skill building, consider the AI Essentials for Work bootcamp to learn prompt writing and workplace AI workflows.

Start small, document every decision, and treat prompts as governed tools - not magic shortcuts - so compliance becomes a competitive advantage.

"Financial organisations should of course explore the possibilities of using AI in their business, and we want to help companies do this in the best possible manner to avoid unnecessary risks. That's why we are now providing a guidance and recommendations on how AI technology can be used effectively and safely for both companies and citizens," states Rikke-Louise Ørum Petersen, Deputy Director of the Danish Financial Supervisory Authority.