Describe the system
Record the tool, provider, users, data, output, and business purpose.
Regulatory / EU AI Act classification
High-risk is a legal conclusion. The workflow should prepare the evidence for it.
Under the EU AI Act, whether a use is high-risk depends on the system, the role, the context, and the official text. We build private workflows that record the use, data, decisions, and evidence a professional services firm needs to support its classification review.
Use inventoryRole recordDecision evidenceCurrent text
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
What classification review needs
The label follows the use, not the vendor.
The same tool can sit in different categories depending on what it does, who relies on it, and what happens when it fails.
Note the decision context
Document how the output is used, reviewed, and whether it affects legal or professional outcomes.
Keep the review pack
Assemble the official text, the firm's position, and open questions for advisers.
The classification boundary
The workflow prepares the record. It does not issue the classification.
Current text wins
The EU AI Act and current guidance are confirmed against the official text before use.
Legal judgment stays expert
Classification and obligations remain with the firm and its advisers.
One system at a time
The first review pack covers one AI use, not a whole estate.
A first classification workflow
Start with one AI use and one evidence pack.
Pick the system
Choose the AI tool or workflow the firm needs to document.
Record the facts
Collect the use, role, data, users, output, review, and decision context.
Map the evidence
Connect the official text and the firm's analysis to the facts.
Build the review pack
Prepare the summary, source index, and open questions for advisers.
The classification is easier to defend when the use is documented before the label is claimed.
Why trust Pristine3D?
We build and operate production software.
Pristine3D Ltd builds and operates live digital products, and we run private AI workflows internally as part of our own operations. We scope around your real workflow: the documents you own, the questions your team asks, and the access boundary you approve. Based in Lagos, Nigeria, we work remotely with clients worldwide.
We already run live products
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
We start with the actual workflow
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
The boundary stays visible
Cloud, model, storage, and messaging accounts stay in your name. The chosen data path, access rules, test record, documentation, and training are part of the agreed scope.
Pricing / fixed scope
Know the starting numbers before you ask.
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
See the one-workflow packageFirm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
See the deploymentAnnual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
See supportArchitecture review from $500. Standard annual support is $3,000 / ₦1.5m per year for one delivered workflow. New workflows, integrations, active monitoring, and infrastructure are separately scoped; infrastructure, model, storage, and messaging bills stay on client accounts. Full pricing and what changes the quote
Straight answers
Common questions.
Does this classify our AI for us?
No. It organizes the facts and evidence. Classification and compliance remain a legal judgment.
Which firms should use it?
Law, accounting, consulting, and other professional services teams that need to document AI use for their own governance.
Does it cover every AI Act obligation?
No. It is an evidence layer. The full obligations are reviewed with the firm's advisers.
Own your knowledge base
The model is not the product. The knowledge base is.
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. We deploy so the knowledge base stays yours: on your accounts, in the environment you choose, under access rules your team defines. The model behind the answers is a connector, so the knowledge base moves with you, not with a vendor.
Your corpus, your index
The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.
Models are swappable parts
Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.
The knowledge base is the alpha
Every improvement to the corpus improves the answers, and the improvement stays with you, not with a vendor.
Keep exploring
Related setups.
Start with the system
Which AI use needs a classification evidence pack?
Tell us the tool, the use, the data, and the review owner. We will scope the first pack around the facts.