FiscalMesh goes beyond a tax portal.
FiscalMesh is a Revenue Intelligence, Compliance Automation and Taxpayer Service Platform powered by UNNA AI. It is designed to help TRA see revenue signals earlier, support voluntary compliance, detect suspicious patterns, and reduce unnecessary office visits.
Revenue Intelligence
Turns compliance, invoice, receipt, payment, sector and region signals into actionable visibility for decision-makers and officers.
UNNA AI Guidance Layer
Explains tax steps in Kiswahili-first mode, supports taxpayers, summarizes risks for officers, and guides users through compliant next actions.
Receipt Risk Intelligence
Flags suspicious receipts by comparing receipt data, taxpayer identity, invoice trail, issuing source, payment behavior and risk patterns.
Built around TRA’s priority outcomes, then extended further.
The product is positioned around tax base expansion, improved services, digital administration, technology adoption, dispute support, and voluntary compliance. The public TRA innovation initiative highlights expanding the tax base and improving tax services as key objectives.
1. Tax Base Discovery Engine
Uses approved/demo signals such as business registration, local license, invoice activity, receipt activity, sector and region to help identify active business patterns for onboarding and compliance follow-up.
2. Simplified Taxpayer Guidance
UNNA AI guides small businesses through makadirio, filing, payment, refund, TIN guidance, invoice compliance, and receipt dispute steps using simple language.
3. Digital Service Orchestration
Helps taxpayers initiate and track selected service steps online, while final approval remains with the responsible public institution.
4. Dispute & Evidence Trail
Organizes receipt data, taxpayer profile, payment trail, user explanation and officer review notes to reduce dispute resolution time.
5. Officer Review Queue
Prioritizes suspicious receipt cases, missing invoice trails, unusual sales patterns, duplicate receipts and high-risk compliance signals for officer review.
6. Voice-Ready Roadmap
UNNA Voice can later receive taxpayer calls, detect intent, answer common questions, create service tickets, and escalate complex cases to officers.
Receipt Authenticity & Risk Intelligence
A receipt can appear genuine to a taxpayer even when the source or transaction trail is suspicious. FiscalMesh adds an intelligence layer for risk flagging and officer review.
How the layer works
Risk signals FiscalMesh can flag
Demo-safe examples for presentation:
- Duplicate receipt pattern
- Mismatched TIN or business identity
- Amount inconsistent with invoice trail
- Issuing source inconsistency
- Unusual transaction timing
- Missing payment trail
One profile for compliance support and officer visibility.
For demo purposes, FiscalMesh can show non-sensitive sample taxpayer profiles that combine onboarding, licensing, invoice and compliance signals.
Business Identity
Business name, TIN demo, sector, region, registration status demo.
License Signals
TAUSI/local license demo, renewal reminder, location consistency.
Transaction Activity
Invoice volume, receipt risk flags, payment behavior, filing consistency.
Recommended Action
UNNA AI explains the next step for taxpayer or officer based on risk level.
Digital service request orchestration.
FiscalMesh can guide users through selected service journeys online. It does not approve on behalf of a public institution; it organizes steps, documents, tracking and escalation.
TIN / Taxpayer Document Support
Guidance for TIN-related steps, duplicate taxpayer document support, and compliance education.
Vehicle Card Duplicate Guidance
Guides the taxpayer through document requirements, payment reference, status tracking and office escalation where required.
Refund / Payment Inquiry
Tracks request evidence, taxpayer explanation, payment trail and officer review notes.
Tax Clearance Guidance
Explains prerequisites, missing compliance items and recommended next steps.
Receipt Dispute Submission
Allows taxpayer to submit a suspicious receipt report with structured evidence for review.
Investor Tax Onboarding
Supports guided onboarding for investors using approved channels and official validation points.
90-day controlled pilot path.
This roadmap belongs inside the product view because it shows the Commissioner how the MVP can move from presentation to controlled institutional evaluation.
Days 1–30: Controlled Setup
Select pilot sector, region or taxpayer segment. Configure demo workflows, officer roles, risk categories, and non-sensitive sample data.
Days 31–60: Guided Usage
Run UNNA AI guidance, receipt risk flagging, taxpayer profile review, and service request tracking with selected users.
Days 61–90: Measurement
Measure support reduction, risk cases flagged, resolution time, taxpayer satisfaction, officer review efficiency, and compliance improvement.
Expected impact for TRA
- Earlier visibility of revenue and compliance signals
- Improved voluntary compliance through guidance
- Reduced manual support burden
- Faster suspicious receipt review
- Better targeting of high-risk cases
- Practical pilot path before national scale
Expected impact for taxpayers
- Simple Kiswahili-first guidance
- Fewer unnecessary office visits
- Clearer filing, payment and receipt steps
- Online service request tracking
- Better trust when reporting suspicious receipts
- Support for SMEs and informal-to-formal transition
UNNA AI integration
FiscalMesh detects and organizes compliance signals. UNNA AI explains those signals and guides the user or officer to the next safe action.
Procurement / evaluation positioning
FiscalMesh can begin as a controlled pilot for selected sectors, regions or taxpayer segments before scaling into a broader revenue intelligence and taxpayer service platform.