Cut Actuarial Reporting Cycle Time in Half With AI Data Automation
South African actuaries are spending too much time on data extraction, cleaning, and reconciliation - and not enough on the analytical judgement that actually protects your balance sheet. Our AI actuarial automation platform handles data aggregation, triangle preparation, IFRS 17 data feeds, and reserve movement analysis automatically, giving your actuarial team a week back every quarter.
"Before the AI data automation system, our actuarial team spent the first two weeks of every quarter …"
Brendan Louw, Chief Financial Officer
Your Actuarial Team Is Spending 60% of Its Time Preparing Data Rather Than Analysing It
South African insurance actuaries operate under a quarterly and annual reporting cycle that requires enormous volumes of data to be extracted from policy administration, claims, and reinsurance systems, reconciled, cleaned, and formatted for analysis. IFRS 17 implementation has significantly increased the data requirements for financial reporting. The result is that actuaries - your most scarce and expensive analytical resource - spend the majority of their time as data administrators.
- Quarterly IFRS 17 reporting requires claims, policy, and financial data from multiple systems in specific formats - data preparation alone can take 2-3 weeks per cycle
- Claims development triangle preparation for reserving is done manually in spreadsheets, creating version control risk and reconciliation errors
- Solvency Assessment and Management (SAM) capital model data feeds from operational systems require manual extraction and transformation every quarter
- Reserve movement analysis across 10-20 lines of business requires manual data assembly before any actuarial judgement can be applied
- Actuarial staff turnover creates risk - manual data preparation processes are not documented sufficiently to transfer without significant knowledge loss
An Actuarial Error That Passes Undetected Is a Material Misstatement Waiting to Surface at the Worst Possible Time
Manual data preparation creates systematic risk of errors that propagate through to reserve estimates, IFRS 17 results, and SAM capital calculations. In a regulatory environment where the Prudential Authority scrutinises actuarial certifications and IFRS 17 restatements draw analyst attention, data quality in actuarial processes is a board-level risk, not just a technical inconvenience.
Automated Actuarial Data Infrastructure for IFRS 17, SAM, and Reserving
We build an automated actuarial data pipeline that continuously extracts, reconciles, and structures data from your policy administration, claims, and financial systems - delivering pre-built claims triangles, IFRS 17 data sets, SAM capital model inputs, and reserve movement reports to your actuarial team on schedule, every cycle.
Automated Claims Development Triangle Generation
Claims triangles by line of business, development period, and reporting segment are generated automatically from your claims system data every reporting cycle. Version control, data reconciliation, and triangle quality checks are automated - eliminating spreadsheet risk.
IFRS 17 Data Feed Automation
All data required for your IFRS 17 measurement models - cohort grouping, coverage unit extraction, expected claim flows, and risk adjustment inputs - is extracted, transformed, and loaded to your IFRS 17 reporting system automatically each period.
Reserve Movement & Actuarial Dashboard
A real-time actuarial dashboard presents reserve movements by line, IBNR development trends, large loss emergence, and experience variance against plan - enabling your actuary to spend review time on the analysis rather than building the underlying data framework.
Ready to implement this for your Insurance Companies?
Get My Custom AI Plan"Before the AI data automation system, our actuarial team spent the first two weeks of every quarter just getting data ready. Now the triangles and IFRS 17 feeds are ready on day two of the quarter. Our Responsible Actuary uses the time saved for deeper reserve adequacy analysis rather than chasing data from five different system owners."
Brendan Louw
Chief Financial Officer, Karoo Life & General, Cape Town
How It Works
Actuarial Data Requirements Mapping (Week 1-2)
We work with your Responsible Actuary and finance team to document every data input required across IFRS 17, SAM, reserving, and management reporting. Data sources are traced to origin systems and current manual extraction steps are documented and assessed for automation potential.
Pipeline Architecture & Integration Build (Week 3-7)
Automated data extraction, transformation, and loading pipelines are built from each source system to a structured actuarial data store. Triangle generation logic, IFRS 17 data structures, and reconciliation controls are built and tested against a full historical period.
Parallel Run & Actuarial Sign-Off (Week 8-10+)
The automated pipeline runs in parallel with the existing manual process for a full reporting cycle. The Responsible Actuary validates automated outputs against manually prepared equivalents. Following sign-off, manual processes are decommissioned and the automated pipeline becomes the system of record.
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