-
TaxPredict NG: AI Powered Tax Dispute Predictor for Nigeria’s New Tax Regime
Problem:
Nigeria’s 2025 Tax Reforms introduce complex new rules, including a 15% minimum tax, a digital asset CGT, a significant economic presence test for non-residents, and stricter transfer pricing, while expanding the Tax Appeal Tribunal and creating a Tax Ombudsman. This is likely to spike disputes over assessments, exemptions, and penalties, but resolving them through traditional channels is slow, expensive (often requiring 50% deposits or legal fees), and unpredictable for businesses and individuals.
Solution:
An AI platform that analyzes your tax dispute details, predicts success chances at the Ombudsman, TAT, or courts, and recommends the best resolution path, helping users settle early, appeal confidently, or avoid escalation altogether.
How It Works:
- Upload dispute docs (assessments, objections, contracts) for AI to scan and extract key facts.
- Input case scenario via chat; AI matches it to the 2025 Tax Acts, TAT precedents, and similar cases.
- Get instant predictions: win probability (e.g., 65% at TAT), risk scores, potential outcomes/costs.
- Receive strategy tips: e.g., “Pursue Ombudsman mediation” or “Request advance ruling to strengthen appeal.”
- Generate draft objections, settlements, or appeal notices.
Who It’s For: Tax advisors, corporate finance teams, multinationals facing transfer pricing/SEP issues, SMEs contesting exemptions, accountants, and high net worth individuals dealing with PIT/CGT disputes.
Why It’s Cool:
It democratizes access to high-stakes tax justice in a reforming system, cutting resolution time and costs by 50-70% while boosting voluntary compliance, turning unpredictable disputes into data-driven decisions, just as the new Ombudsman and TAT aim for faster, fairer outcomes.
Execution Hint:
Launch with rule-based AI on the 2025 Acts, partner with tax firms for initial case data/training, and integrate with NRS portals for real-time updates as TAT judgments build post 2026.
Sorry, there were no replies found.
Log in to reply.