CFEC-Afrique develops and uses its own artificial intelligence in its audit, accounting and inventory engagements. That practice lets us tell you, without hype, what AI can do today in a management function, what it cannot do, and how to bring it into your organisation without exposing your data.
What AI can do for you
Read your documents
Invoices, statements, contracts, delivery notes: AI reads the documents, extracts the data and files them, with no manual entry.
Match
Bank and books, orders and invoices, count and register: thousands of lines matched, and those that do not agree set aside.
Detect anomalies
Duplicates, unusual amounts, transactions outside procedure: every transaction is examined, not a sample.
Answer and draft
An assistant that knows your procedures and your documents answers your teams’ questions and prepares notes, summaries and reports.
Forecast
Cash, sales, stock: projections built from your history, to be set against your knowledge of the business.
Summarise and translate
A long contract summarised on one page; a report translated for your foreign partner, then reviewed by a professional.
What we do
- Diagnosis: identify, process by process, the tasks AI can take on and the expected gain.
- Automated document processing: reading, extraction, checking and filing of invoices, statements and supporting documents.
- Automated reconciliations and anomaly detection on your accounting, banking and management data.
- In-house assistants built on your procedures, your manuals and your documents.
- Dashboards and forecasts fed by your data.
- A framework for the use of AI: rules of use, data protection, human review of results.
- Training your teams in the uses of AI in management functions.
Our approach
Choose a use case
We start from a precise, measurable problem: a delay, an error rate, a volume of documents.
Test on your data
The tool proves itself on a limited scope, in a controlled environment, before any wider roll-out.
Go live
Integration with your tools, controls, documentation and user training.
Follow up
Results are measured and the tool adjusted. A named person remains responsible for every result.
What you receive
- Map of use cases, with gains and risks.
- Solution in service, documented.
- AI charter and data protection rules.
- Trained teams and follow-up indicators.