We build AI capability inside governments and large corporations — and deploy audit systems that screen every transaction, so irregular spending is caught in days instead of discovered years later.
Traditional audit reviews a fraction of transactions, months after money has moved. By the time an irregularity is confirmed, the contract is closed, the supplier is gone and recovery is a legal exercise rather than a financial one.
A structured diagnostic of data maturity, processes and governance, producing a costed roadmap for ministries, agencies and enterprise groups.
Consolidation of fragmented registries, ledgers and payroll systems into a single governed data layer — the prerequisite for any credible AI program.
Domain models deployed inside national or corporate infrastructure, so sensitive fiscal and citizen data never leaves the jurisdiction.
Every transaction scored in real time instead of a sampled few percent — procurement, subsidies, payroll and grants monitored without interruption.
Ghost payroll, duplicate invoices, split contracts and collusive bidding surfaced as ranked cases with evidence trails ready for investigators.
Training and operating manuals for auditors, controllers and civil servants so the capability stays in-house long after we hand over.
Side-by-side on the metrics finance ministries and CFOs actually track.
| Metric | Traditional system | With AEG Sovereign AI |
|---|---|---|
| Transaction coverage | 2–5% sampled | 100% screened |
| Detection lag | 9–18 months | Under 48 hours |
| Audit cost per $100M reviewed | $1.4M | $0.45M |
| Irregular spend identified | 0.6% of budget | 3.1% of budget |
| Analyst hours per cycle | 12,000 h | 2,400 h |
| False-positive rework | High, manual triage | Ranked, evidence-backed cases |
Move the slider to your annual budget under management.
Traditional system
With AEG Sovereign AI
Illustrative model. Assumes audit cost of 1.4% and recovery of 0.6% of budget under a traditional sampled regime, versus 0.45% cost and 3.1% recovery under continuous AI-driven screening. Actual figures are established during the diagnostic phase.
6 weeks. Data audit, leakage baseline, prioritized use-case portfolio.
3 months. One spending stream instrumented end-to-end, measurable recovery.
6–12 months. Rollout across departments with shared governance and controls.
Systems, models and playbooks transferred to your own teams.
Request a briefing
Tell us about your mandate and we will prepare a confidential briefing with an indicative leakage baseline and recovery model for your organization.