Know what is being used
Map tools, accounts, models, agents, sources, connectors, outputs, and the teams relying on them.
AI governance / use, access, evidence, and accountability
AI governance begins when the first file enters the tool.
We help businesses turn scattered AI use into a practical operating baseline: what tools are approved, what data can enter them, who can access outputs, where human review is required, and how a workflow is monitored. This is technical and operational support, not legal certification.
Approved useAccess controlsAudit trailHuman oversight
Pattern demonstration / not a compliance certification
What governance has to answer
A policy is only useful when the workflow can follow it.
Governance becomes practical when it connects people, tools, data, decisions, evidence, and the next action after something fails.
Set the allowed route
Define data classes, access, retention, providers, regions, action permissions, and human review boundaries.
Keep evidence
Record tests, corrections, source versions, approvals, incidents, and changes so the organization can explain what happened.
Governance is not a badge
The control must exist in the system people use.
Write the permitted use
State what employees may do, what requires approval, what data is restricted, and how exceptions are handled.
Enforce the boundary
Use accounts, roles, source permissions, logs, provider settings, retention, and workflow gates that match the policy.
Keep accountability human
High-risk decisions, client commitments, and professional conclusions remain with qualified owners.
A practical governance baseline
Start with the systems already in use.
Map the current landscape
Identify accounts, tools, data, workflows, users, connectors, and unmanaged use that leadership needs to understand.
Classify risk and data
Separate public, internal, client, personal, regulated, and decision-making workflows without pretending every use has the same risk.
Set the control path
Define approved accounts, access, source, provider, retention, logging, human review, and incident response.
Test and refresh
Use a fixed question set, review failures, update the policy and system together, and document the owner.
Good AI governance is the shortest path from what the policy says to what the system actually allows.
Starting points
Buy the result, not an undefined amount of AI.
All infrastructure, provider, storage, and messaging bills remain on client accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
- One source or connector
- Up to 10 users
- Private chat or approved team channel
- Answers or drafts with sources
- Training and handover
Firm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
- Multiple sources and workflows
- Permissions and admin setup
- Team training and testing
- Runbook and credential handover
- Optional action workflows
Annual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
- Quarterly health and dependency review
- Bug fixes within delivered scope
- Priority business-hours response
- Documentation and configuration updates
- No new workflows, integrations, or infrastructure bills
Architecture 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
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.
Straight answers
Common questions.
Do you provide legal compliance advice?
No. We help map technical and operational controls for review by the client's legal, privacy, security, and risk advisers.
Can governance start with a small company?
Yes. A small company can start with an inventory, approved use boundary, one workflow, one owner, and a simple incident or review process.
Does governance mean no one can use public AI?
Not necessarily. It means the company decides which work and data may use which route, and gives staff a workable approved alternative.
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 current use
What AI tools and workflows are already in the business?
Tell us the tools, users, data classes, and risk questions. We will help turn them into a practical control baseline.