The verdict in three sentences
An insurer that assembles its regulatory returns by hand from five extracts and a dozen spreadsheets risks discrepancies that are hard to justify to the Central Bank of the UAE and ties up its finance team 8 days per quarter. A custom automation at 80,000 to 180,000 AED (about 20,000-45,000 EUR) extracts data from the policy administration system, runs consistency checks and produces returns in the required format with a complete audit trail. The project takes 3 months and pays back mainly through reliability, with time savings on top.
Why manual regulatory reporting becomes a risk
Since insurance supervision moved to the Central Bank of the UAE, insurers in Dubai face periodic returns: quarterly and annual financial statements, solvency and capital adequacy returns, technical provisions, investment and asset admissibility reports, plus IFRS 17 disclosures. Supervisory reviews increasingly focus on the traceability of figures.
| Weak point (2026 estimate) | Manual process | Automated process |
|---|---|---|
| Data sources | 5 extracts (policies, claims, reinsurance, accounting, investments) | Direct, scheduled connection to all 5 sources |
| Production time per quarter | 8 to 12 person-days | 1 to 2 person-days of review |
| Consistency checks | Manual, partial | 40 to 80 automated rules |
| Discrepancies between returns | Frequent, fixed at the end | Detected at extraction |
| Audit trail | Successive spreadsheet versions | Timestamped log of every calculation |
| Key-person dependency | High | Documented, repeatable procedure |
What the automation includes
The system has four layers: extraction from the policy administration system and accounting, a data store that keeps every reporting period, a checks engine (written premium vs ledger, paid claims vs reserves, cross-line consistency), then return generation in the regulator's format, in Excel or PDF, with a tracking dashboard.
| Work package | Content | Share of budget | Duration |
|---|---|---|---|
| Scoping | Inventory of returns, sources and calculation rules | 10 to 15% | 2 weeks |
| Extraction and data store | Connectors to 5 sources, history per period | 25 to 30% | 4 weeks |
| Consistency checks | 40 to 80 rules, exception report | 20 to 25% | 3 weeks |
| Return generation | Regulatory templates, Excel and PDF export | 20 to 25% | 3 weeks |
| Parallel run | One quarter produced both manually and automatically | 10 to 15% | 2 weeks |
| Total | 80,000 to 180,000 AED | 100% | About 3 months |
Ongoing support then runs at 1,500 to 4,000 AED a month, depending on monitoring level and how often regulatory changes must be built in.
Mini case study
Omar, CFO of a general insurer in Dubai (illustrative example), has 3 people spend about 3 days each quarter producing returns, so 8 to 9 person-days. Average fully loaded cost of a finance professional: around 40,000 AED a month, or 1,820 AED a day.
Calculation: 8 days × 4 quarters = 32 person-days a year, or 58,240 AED. Add the heavier year-end close, estimated at 15 person-days (27,300 AED): about 85,500 AED of time a year. With a 130,000 AED project and 2,500 AED monthly support (30,000 AED a year), the net time saving reaches 55,500 AED a year, a payback of about 2.3 years on this criterion alone. The real benefit lies elsewhere: lower risk of supervisory findings and a team free for technical steering and reinsurance.
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FAQ
Do we need to replace our policy administration system?
No, the automation connects to your current tool through the database, an API or a scheduled export. In 80% of cases, direct database reads are enough.
Regulatory templates change: what then?
Templates and calculation rules are configurable. A change to a return usually takes 2 to 5 days of work, covered by premium support or priced separately.
How many consistency checks should we plan?
A mid-sized general insurer starts with 40 to 50 rules (premiums, claims, reserves, reinsurance) and grows to 80 after two quarters as exceptions surface.
How does acceptance testing work?
A full quarter is produced in parallel, manually and automatically. Differences are analysed line by line until reaching 100% agreement or a documented explanation.
Does the data stay on our servers?
Yes if you wish: the system can be hosted on your infrastructure or a UAE data centre, with named access and a log of every query, in line with UAE data protection rules.
Let's scope your project. List your returns, data sources and policy system: we will price your regulatory reporting automation, delivered in about 3 months. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
