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

Finance teams in Ukraine are under unique pressure in 2025 - rebuilding budgets, protecting liquidity, and supporting fast-moving startups - so smart, repeatable AI prompts are now a practical advantage, not a novelty; Concourse's catalog of real-world prompts shows how a single natural-language instruction can refresh forecasts, flag AR risk, or produce audit-ready variance narratives in seconds (Concourse 30 AI prompts for finance teams), while Ukraine's surge in H1 2025 startup funding proves local innovation is growing even amid conflict (The Recursive: Ukraine startup funding H1 2025).

For finance leaders who need hands-on skills, Nucamp's 15‑week AI Essentials for Work bootcamp teaches prompt writing and workflow automation so teams can turn these prompts into repeatable treasury, FP&A and AR workflows without a technical degree (Nucamp AI Essentials for Work bootcamp registration).

With air alerts still part of daily life in many cities, practical AI that saves hours and reduces morning scramble is the kind of resilience that matters.

On the battlefield I did not see a single Ukrainian soldier. Only drones. I saw them [Ukrainian soldiers] only when I surrendered. Only drones, and there are lots and lots of them. Guys, don't come. It's a drone war.

To validate the Concourse prompt catalog in a Ukraine context, Nucamp ran a lightweight, repeatable methodology: select high‑value Concourse prompts, ground them with local data, and run iterative prompt patterns (zero‑shot, few‑shot, chain‑of‑thought and chain‑of‑drafts) while tuning system messages and temperature to reduce hallucination; this approach follows prompt‑engineering best practices documented by CPA Practice Advisor (Prompt Engineering for Accountants - CPA Practice Advisor) and Deloitte's finance primer on prompt categories and sandboxing (Prompt Engineering for Finance 101 - Deloitte).

Prompts were validated against Nilus datasets and local compliance checklists (AML/sanctions scenarios and startup cap table notes) to check accuracy, citationability and auditability, with failing variants flagged for few‑shot examples or explicit grounding; outputs that could summarize even a 100‑page policy into an executive checklist were used as the “pass” benchmark.

For teams wanting the same hands‑on loop - craft, ground, iterate - Nucamp's 15‑week AI Essentials for Work bootcamp teaches these exact testing patterns and how to operationalize them in real workflows (AI Essentials for Work Bootcamp (Nucamp)).

“The power to question is the basis of all human progress.”

For treasury teams in Ukraine needing a ready-to‑paste ChatGPT/Nilus workflow, the Cash Flow Optimizer prompt should do three things fast: build a short‑term cash forecast, score working‑capital levers (AR acceleration, AP timing, inventory and short‑term investments) against KPI impacts like DSO/DPO and cash conversion cycle, and recommend immediate, audit‑friendly actions (early‑pay discounts, supplier term renegotiation, intercompany pooling) with citations to source documents; these are the practical levers J.P. Morgan and HSBC flag as highest‑value for freeing trapped cash and improving visibility (J.P. Morgan: 6 ways to improve working capital, HSBC: Optimising working capital - driving best practices).

In a single output the prompt should return a ranked action plan (quick wins, medium changes, financing options), a one‑line exec summary in Ukrainian, and a checklist for Nilus grounding so every recommendation links back to specific balance‑sheet lines - turning working capital from a slow drip into a steady stream that treasury can deploy where it matters most.

“We see companies building complex technology ecosystems to gain working capital efficiencies because their existing systems can't accomplish what they need. In building that technology stack, companies must balance making existing technology work through bolt-on technology modules and replacing their outdated systems with the newest technology.”

For treasury teams in Ukraine who need fast, actionable visibility, a reforecast prompt should return a rolling 13‑week cash model with weekly granularity, scenario bands (best, base, worst), and a transaction‑level reconciliation trace back to ERP and bank feeds so every suggested action is audit‑ready; GTreasury's best practices and Atlar's guide both underline that the 13‑week horizon gives the ideal balance of detail and reliability for liquidity risk (“three months of runway” that surfaces problems before they become crises) and that automation of data collection is essential to free time for analysis (GTreasury cash flow forecasting best practices, GTreasury 13-week cash flow forecasting guide).

A practical Nilus/ChatGPT workflow should: (1) ingest bank/ERP balances and AP/AR aging, (2) produce weekly inflow/outflow categories using the direct method, (3) run rolling updates and variance analysis, and (4) output quick mitigations (delay non‑critical payables, accelerate collections, short‑term financing options) with links to source lines so CFOs, banks and investors see the same numbers in real time.

“The ‘special sauce' of forecasting is the human element: knowing how to interpret the data and anticipate market uncertainty.” - Alberto Hernandez‑Martinez, J.P. Morgan

For VP-level exec briefings in Ukraine, a ready‑to‑paste FP&A prompt should turn raw budgets and actuals into a crisp, month‑end narrative: one Ukrainian one‑line exec summary, the top 5 KPIs with dollar and percent variances, materiality‑filtered root‑cause bullets and three prioritized actions with owners and timelines - all backed by source lines so numbers reconcile to the ERP/ledger; this follows best practices for structured, consistent variance analysis and makes monthly reviews actionable rather than just informational (Variance analysis best practices - Phoenix Strategy Group, Key FP&A KPIs explained - Corporate Finance Institute).

Automating the BvA cycle and exec explanations with modern FP&A tools reduces manual work and surfaces material issues earlier, letting finance teams present a two‑paragraph story and three clear decisions instead of a ten‑line spreadsheet dump - exactly the kind of briefing banks and investors expect in fast‑moving Ukrainian startups (Variance analysis automation guide - Numeric).

“I think great FP&A in my mind is a function that is deeply integrated into the strategic planning and the decision‑making of any organization.” - Jon Laudie

A Board Deck Generator prompt for CFOs in Ukraine should spit out slide‑ready content plus an investor Q&A pack that's audit‑ready and board‑calming: a one‑line Ukrainian executive summary, a crisp financial performance slide with budget vs actuals and variance bridges, a rolling forecast/ask (how much, why, and timeline), one or two deep dives tied to KPIs, and an appendix of drill‑downs and anticipated investor questions with transaction‑level citations so directors and lenders can trace every number back to the ledger; use proven templates and timelines - start preparing 2–4 weeks ahead and circulate the package at least a day before the meeting - to avoid last‑minute scrambles (Bain Capital Ventures guide to creating an effective board meeting deck, Creandum board deck template and examples).

Prep the Q&A by rehearsing likely investor challenges, stash backup slides in the appendix, and consider drafting CFO memos and canned Ukrainian responses with AI so answers are fast, consistent and citation‑friendly (AI-generated CFO memos and response scripts for Ukrainian finance teams).

A small, deliberate touch - booking a pre‑meeting dinner and a 30‑minute closed session - can turn awkward surprises into trusted decisions.

“There is no “fake it til you make it.” Instead, “iterate until you've nailed it.”

For Ukrainian AR teams, the

top‑10 overdue

prompt should be a workhorse: return the ten largest or riskiest past‑due accounts (sorted by amount, aging bucket and DSO), assign a simple risk score and a next‑action (owner, deadline, and suggested script), and flag any >90‑day balances for escalation - an essential step since an invoice over 90 days has only an ~18% chance of being paid according to Stripe (Stripe guide to accounts receivable aging reports); ground recommendations in the AR aging report best practices so collection tactics match the age bucket (Accounts receivable aging report best practices - HighRadius) and use tiered strategies (gentle reminders, payment plans, early‑pay discounts, formal demand/collection) as described by Invedus (Top strategies for managing accounts receivable aging - Invedus).

The prompt should also output suggested journal/ERP lines for reconciliation and a short Ukrainian exec summary so CFOs and collections know who to call first - turning aging data from a static table into a prioritized playbook that saves cash and staff hours.

Next steps for Ukraine finance teams: start small, pilot fast, and bind AI outputs to reconciled data - pick two or three high‑value prompts from Nilus (treasury cash‑flow optimizer, 13‑week reforecast, or Monthly KPI Summary) and run short pilots that pair Nilus's data grounding with ChatGPT for drafting Ukrainian CFO memos and response scripts (Nilus 25 AI Prompts for Finance Leaders, ChatGPT CFO memo and response script examples); use rolling forecasts, scenario bands and the cash‑forecasting best practices Nilus documents to move from static spreadsheets to real‑time runway clarity (which can free up days per month previously spent on reconciliation).

Pair pilots with clear data governance, citationable audit trails, and a short internal playbook so outputs reconcile to ERP/bank lines; for teams wanting hands‑on prompt engineering and operational workflows, consider Nucamp's 15‑week AI Essentials for Work bootcamp to train staff on prompt writing, workflow automation and practical deployments (Nucamp AI Essentials for Work (15‑Week Bootcamp)).

“AI will certainly help us to do things better... To do things quicker and will, I hope, give us time to do more external things.”