Accounting, Tax and Audit
Accounting, tax and audit firms hold unredacted corporate ledgers, bank streams and tax structures for every client on their books, and they want to run modern AI over that decade of data to flag risk and accelerate fieldwork. The cloud is barred because moving those files off-premise creates a cross-border-transfer and third-party-processing exposure that sits directly against ICAEW and FRC confidentiality duties. Mickai brings the whole AI stack in-house, onto hardware the firm owns and under keys the firm holds, so client transactions are analysed inside the building rather than shipped to a vendor. Air-gapped anomaly and audit tooling runs over the full client history locally, which removes the third-party cloud-exposure vector.
Accounting, tax and audit firms responsible for unredacted corporate ledgers, bank streams and client tax structures.
Putting that client financial data through cloud AI creates a data-spill and third-party-processing risk that cuts against ICAEW and FRC confidentiality duties.
Mickai runs air-gapped fraud, anomaly and audit analysis over a decade of client transactions on hardware the firm owns, under keys the firm holds.
Faster audits and sharper risk flags with no client ledger ever leaving the firm, which removes the third-party cloud-exposure vector.
Five advantages hold across every sector, and they are architectural, not promotional. The third-party cloud-exposure vector is removed; your own physical, insider, and compliance controls remain yours.
The data never leaves your hardware, so no third party and no cloud-provider employee ever sees it. What happens in the server room stays in the server room.
You own the compute and the capability, so the system runs independent of the internet and of any cloud vendor's pricing, terms, or availability.
The data never crosses a geographical or digital border because it never leaves the building, which removes the cross-border-transfer and third-party-processing friction of UK GDPR, Schrems II, and the sector rules. You keep your own obligations.
Fine-tune and run retrieval on your deepest archives to build a hyper-customised co-pilot, with no risk of your proprietary edge training a public model or leaking.
After the hardware and licence, queries cost essentially electricity. A capital asset you own and depreciate, instead of volatile per-token cloud bills.
There is no third-party cloud path, so no competitor and no vendor insider can scrape, intercept, or subpoena your prompts or your fine-tuned weights from the internet. The trust vault is closed by architecture.
You own the software snapshot on your own hardware, so a change to a cloud vendor's terms, a model deprecation, or an outage cannot reach you. The system stays predictable and auditable on-premise as the rules evolve.
The specific rules that bar mainstream cloud AI from this sector's regulated data. Each one demands a named, auditable perimeter the operator controls, which a shared multi-tenant cloud cannot give.
The kind of organisation this serves, named illustratively from public information to characterise the market. These are target profiles, not customers: Mickai has no relationship, engagement, trial, or endorsement with any of them.
The enterprise studios that lead in this sector, drawn from the eighteen that sit on the one sovereign substrate. Each runs on hardware the organisation owns, under one set of operator-held keys, writing to one Open Audit Record.
Audit
Runs the audit workflow over the full client ledger on-premise, surfacing sampling, reconciliation and substantive-testing evidence without the working papers ever leaving the firm.
Fraud and Anomaly Detection
Air-gapped fraud and anomaly detection across a decade of client transactions, flagging outliers and suspicious patterns locally rather than streaming bank data to a cloud model.
Finance and Accounting
Reads and normalises corporate ledgers, bank streams and tax structures in-house so the figures behind every flag stay inside the building.
Compliance and Regulator Mode
Maps the firm's work against ISA (UK), FRC and ICAEW obligations and produces a regulator-ready trail, removing the third-party-processing friction while the firm keeps its own professional duties.
Executive BI
Gives partners executive BI over engagement risk, recovery and portfolio exposure drawn only from data already held on the firm's own hardware.
See all eighteen on the sovereign services catalogue.
Audit and assurance firms are under sustained regulatory pressure to raise quality and evidence their judgement at the same time as data-protection counsel restricts what client financial data may be sent to external processors. That tension creates demand for AI that delivers the analytical depth of the cloud while running entirely on infrastructure the firm controls.
Money won, money saved, risk removed, on hardware you own.
Faster audits and earlier risk flags from a decade of client transactions analysed locally, the cross-border-transfer and third-party cloud-exposure vector removed while the firm keeps its own confidentiality and professional obligations, and recurring per-seat cloud-AI subscription cost displaced onto hardware the firm already owns.
Map the sovereign stack to your accounting, tax and audit estate.
Briefings are for organisations weighing a sovereign, on-premises deployment. Tell us about your estate and we will walk the pack, the regulatory crosswalk, and the deployment that fits your estate.