FP&A and controllership, reimagined with sovereign AI.
Numbers go to regulators. Regulators ask how they were produced. We make that answer easy.
Forecasting, scenarios, and reporting are exactly the work AI accelerates, and exactly the work an auditor will interrogate. Three moves:
Forecasting, scenario planning, and statutory reporting run on sovereign infrastructure inside the perimeter.
Which data, which model, which version, which human signed off, produced by default, ready for CSRD and the AI Act.
The speed lands where it is safe; public-data research uses the frontier. At volume, sovereign is the cheaper option too.
Macro and market research, and narrative first drafts with no sensitive figures.
Research lands in the model with lineage attached, ready for the auditor's question.
The architecture that keeps the auditor happy is the same one that keeps the data sovereign.
The disruption is not theoretical. Named, current evidence, cited, not claimed.
SAP's “Autonomous Enterprise” deploys 50+ finance assistants orchestrating 200+ agents; its closing assistant resolves discrepancies in real time “with accuracy and auditability.”
SAP / CFO Dive →Workday's Financial Audit Agent saves early-access customers “up to 900 hours per year.”
Workday →Gartner projects 15% of day-to-day finance decisions will be made autonomously by agentic AI by 2028.
Gartner →Help finance teams decide which workflows to run on frontier models versus sovereign infrastructure, from forecasting and scenario planning to audit-grade reporting and regulatory submissions. Built for regulatory scrutiny from day one.
A transparent cost model comparing frontier-lab API spend to self-hosted open-weight deployments on European infrastructure. Includes break-even analysis for the most common enterprise workloads.
European banking's growth contest is the customer: acquisition, personalisation, and retention, running on transaction and behavioural data that seven overlapping EU regimes watch closely. Where banking customer AI belongs on the sovereignty spectrum, with a modelled portfolio benchmark.
In one 90-minute working session we map it across the frontier-sovereign axis, cost, risk, and strategic value. Then we tell you what we'd do.