Get your business ready for AI, without your data ever leaving the building.
Before a single model runs, your estate has to be sound. We audit the data you hold, digitise what is still on paper, then organise, classify, clean, de-duplicate and compartmentalise it into a governed foundation you own. The output is an AI-ready estate, with a clear path to stand the Mickai Sovereign Intelligence Operating System up on top.
The problem is never ambition. It is the foundation.
Walk into most organisations and the data tells the same story. It is scattered across a dozen systems that do not talk to each other. It is duplicated, contradictory and out of date, so the same customer, contract or asset appears three different ways. Sensitive records sit beside public ones with no permissioning between them. And a surprising amount of it is still on paper, in filing rooms, in data rooms, in boxes nobody has opened in years. Point a model at an estate like that and you get confident answers built on the wrong records, no way to prove where an answer came from, and sensitive material exposed to a system that was never told what it was allowed to see. Meanwhile faster competitors are already using AI to move quicker, and the gap widens by the week. The organisation is not short of ambition. It is short of a foundation.
Five stages, from filing room to AI-ready.
A staged, gated engagement. It starts with a fixed-scope, on-site assessment and ends with a governed estate you own. Every step runs on your own hardware, sealed to the Open Audit Record.
Assess
We map the whole data estate, systems, drives, inboxes and the paper in the filing rooms and data rooms, and grade where you stand against a clear readiness baseline. This is the fixed-scope, on-site assessment, and nothing leaves your building to produce it.
Digitise
On-site scanning, on-device extraction and structured indexing turn filing rooms and data rooms into searchable, governed records. The originals never leave your control.
Organise and clean
We normalise formats, reconcile duplicates, resolve conflicting records and repair the gaps, so one customer, one contract and one asset each read a single consistent way.
Classify and compartmentalise
We tag every record by sensitivity tier and apply permissioning, walling information into who may see it long before any model is allowed near it.
Govern and hand over
We stand up the governed foundation, document its lineage, ownership and retention, and hand you an estate you own. From here you can stop, or move straight into standing up the SIOS on top.
How the engagement runs.
Behind the five steps runs a gated engagement. It always opens with the fixed-scope Readiness Assessment, then proceeds through counted, on-site stages, each ending in a deliverable pack and a go or no-go. A client can stop at any gate owning something usable: a score, an estate map, a captured corpus, a classified corpus, or a governed foundation. Every stage runs on the client's own hardware and is sealed to the Open Audit Record.
Survey
The fixed-scope, on-site Readiness Assessment. Stakeholder interviews across the departments that hold data, a walk of the filing rooms, archives and data rooms, and a read of the digital estate, producing a first readiness score on sampled evidence.
You receiveAI Readiness Score and report, a data-estate summary, risk and exposure notes, and a scoped programme proposal.
Map
Exhaustive discovery across the agreed scope. An on-hardware crawl records what exists, where, in what format, how much, last-touched, apparent owner and duplication; the physical estate is inventoried to the box; systems and data flows are mapped; and a first cut of redundant, obsolete and trivial data is flagged.
You receiveThe data-estate map, a system and data-flow diagram, a redundant-data register, and confirmed scope for the stages that follow.
Capture
Everything in scope becomes machine-readable in one staging area on the client's hardware. On-site scanning with careful handling for fragile records, OCR and document understanding, digital ingestion, and provenance captured and sealed for every item. Unreadable material goes to a human review queue, never guessed.
You receiveThe staging corpus, text-extracted and provenance-stamped, and a digitisation report.
Refine
The corpus is cleaned, normalised and de-duplicated, conflicting records reconciled, gaps repaired, then classified by document type and tagged by sensitivity tier, and compartmentalised, so information is walled into who may see it.
You receiveThe cleaned, classified, sensitivity-tiered corpus, a data-quality report, and the compartment and permission model.
Govern
The governed foundation is stood up: lineage, ownership and retention documented, the permission model enforced, the compartments live. The estate becomes something an auditor can inspect and a board can sign off.
You receiveThe governed data foundation, the permission and retention model, the governance documentation, and the final sealed AI Readiness Score.
Deploy
Optional, and only if the client chooses it. The governed foundation drops straight under the Mickai SIOS. Because both are sovereign and on the client's hardware, there is no data movement at all: the operating system is installed above the estate.
You receiveThe SIOS deployment plan, or a clean handover of the AI-ready estate if the client stops here.
The spine of the engagement is a single AI Readiness Score, measured at the start on sampled evidence, again on the real cleaned data, and once more at handover, sealed. The client watches the number move across discoverability, digitisation, quality, classification, governance and sovereignty. It gives the programme an objective definition of done.
The groundwork that makes AI work.
Data estate audit
We inventory every source you hold, structured, unstructured and paper, and grade readiness against a clear baseline. You see exactly where the gaps are before anyone touches a model.
Paper and data-room capture
On-site scanning, on-device extraction and structured indexing bring filing rooms and data rooms into a governed system. The originals stay with you; the records become searchable and sealed.
Cleaning and de-duplication
We reconcile duplicates, resolve conflicting entries, standardise formats and close the gaps. One customer, one contract, one asset, recorded a single consistent way.
Sensitivity tiers and permissioning
Every record is tagged by sensitivity and walled behind permissioning. Compartmentalisation is set before any model runs, so nothing sensitive is ever quietly in scope.
The governed foundation
Lineage, ownership, retention and access are documented into a foundation you control. The estate becomes something an auditor can inspect and a board can sign off.
Nothing leaves the building
The entire readiness process runs on your own hardware, offline, sealed to the Open Audit Record. Even the messy pre-AI data is never shipped to a cloud or a consultant's laptop.
- A complete, honest map of your data estate, what you hold, where it lives and what condition it is in, produced without a single record leaving your building.
- Your paper and data-room material digitised, indexed and searchable for the first time, with the originals still in your hands.
- A cleaned, de-duplicated, consistent record set, one version of each customer, contract and asset.
- A governed, permissioned, sensitivity-tiered foundation you own outright, with compartmentalisation set before any model runs.
- Risk contained before it is exposed, a tamper-evident audit trail sealed to the Open Audit Record, so you can prove what was done, to what and by whom.
- A clear, sovereign path to stand the Mickai SIOS up on top, so readiness is an on-ramp you own, not a consulting bill you file.
Nothing leaves the building, even during the mess
The most exposed moment for your data is now, while it is scattered, unclassified and sensitive, and that is precisely when every other provider ships it out. Mickai does the audit, digitisation, cleaning, classification and compartmentalisation entirely on-premise, on hardware you own.
You get a foundation, not a finding
The deliverable is a working, governed data estate, digitised, de-duplicated, classified and permissioned, not a maturity score and a recommendation to buy more consulting.
Sealed and provable
Every action in the readiness process is written to a post-quantum Open Audit Record using ML-DSA-65 signatures, so a regulator, auditor or board gets cryptographic proof of what was touched and by whom, not an assurance.
You own it, and the next step is optional
The AI-ready estate is yours, on your hardware. Standing the SIOS up on top is a choice you make from ownership, not a lock-in you signed into on day one.
Built for regulated markets
Finance, healthcare, law, defence and the public sector are the design centre, so governance, permissioning and sensitivity tiering are native, not bolted on.
Protected by real intellectual property
The sovereign substrate that readiness runs on, and hands over to, sits behind 104 filed UK patent applications and 2,340 claims, a depth of defensibility consultancies and integrators cannot match.
AI readiness, in plain terms.
What is AI readiness?
AI readiness is the state of your data before you run AI on it. It means your records are digitised, consistent, de-duplicated, classified by sensitivity and permissioned, so a model works from the right information and nothing sensitive is exposed by accident. Most firms are not ready because their data is scattered, siloed or still on paper. Mickai does the groundwork to close that gap and hands you a governed estate you own.
How do I get my business ready for AI?
Start with an assessment of your data estate. Mickai maps every source you hold, including paper in filing rooms and data rooms, then digitises, cleans, de-duplicates, classifies and compartmentalises it into a governed foundation. The whole process runs on your own hardware, offline, with nothing leaving the building, and it ends with a clear path to deploy the Mickai SIOS if you choose to.
What happens in an AI readiness assessment?
We inventory your structured, unstructured and paper-based data, grade it against a clear readiness baseline, and name the gaps that would stop AI working safely. You receive a graded picture of where you stand and what readiness would take, with no data leaving your perimeter to produce it. From there you can stop, act on the findings yourselves, or engage Mickai to do the readiness work sovereign.
Book an AI readiness assessment.
The fixed-scope, on-site starting point. We map your data estate and grade where you stand against a clear readiness baseline, with nothing leaving your building. From there you can act on the findings yourselves, or engage Mickai to do the readiness work sovereign.