AI Services
Artificial intelligence is moving out of pilot projects and into systems that affect real financial and operational decisions. That creates two jobs. Somebody has to build the tools, and somebody has to be able to explain to a board, a regulator or an auditor why the output can be trusted. Promilezi does both, which is unusual for a firm of our size.
AI Readiness Assessment
We start with what your data and processes can actually support, not with a tool demonstration. The assessment covers data quality, system integration, staff capability and the governance you would need before anything goes live. Most clients leave with a shorter list of use cases than they arrived with, and a clearer view of which ones will pay.
- Data quality and availability review
- Use case identification and prioritisation
- Cost and benefit estimation per use case
- Capability and skills gap analysis
AI Governance and Policy
King IV places technology and information governance squarely with the board, and POPIA applies the moment personal information enters a model. We help you write the policy, define who approves what, and set the boundaries staff need before they start pasting client data into public tools.
- AI use policy aligned to King IV and POPIA
- Approval and escalation frameworks
- Data classification and handling rules
- Board and audit committee reporting
Audit of AI and Automated Decisions
When a model influences a payment, an assessment or an eligibility decision, somebody has to test it. We review how models were trained, what they were tested against, whether the outputs can be explained, and whether a person can override them. This is assurance work, and it extends naturally from what an audit practice already does.
- Model documentation and lineage review
- Bias and fairness testing
- Explainability and human override checks
- Control testing over automated decisions
Intelligent Document Processing
Invoices, purchase orders, remittances and supporting schedules still arrive as PDFs and scans. We build extraction pipelines that read them, match them against your records, and route only the exceptions to a person. The finance team stops keying and starts reviewing.
- Invoice and remittance data extraction
- Automated matching against source records
- Exception routing and approval
- Audit trail of every automated action
Forecasting and Anomaly Detection
The same data that produces your monthly pack can flag what looks wrong in it. We build models that surface unusual transactions, spending that breaks from historical patterns, and collection forecasts you can defend in a budget meeting.
- Cash flow and revenue forecasting
- Transaction anomaly and fraud indicators
- Budget variance prediction
- Continuous monitoring dashboards
AI Implementation Support
Where you have already chosen a vendor or a platform, we act on your side of the table. That covers scoping the work, testing what the vendor claims before you accept delivery, and training your staff to use the thing once it lands.
- Vendor evaluation and scoping
- Independent acceptance testing
- Integration with existing finance systems
- Staff training and adoption support
