Use the existing workspace
Check the current plan, identity, connected sources, retention, and admin controls for the workflow.
Comparison / Microsoft Copilot versus private deployment
Copilot is already in the tooling. The question is what work it should not carry.
We compare Microsoft Copilot with a private AI deployment by account, data path, connected sources, admin controls, workflow fit, and ownership. Current vendor terms decide the comparison; neither label is a guarantee.
Current termsData pathAdmin controlsWorkflow fit
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
Where the Copilot decision gets real
The product may fit. The boundary may not.
Copilot can be the practical route when the existing Microsoft environment, licenses, and current terms cover the workflow.
Separate the data path
Review what prompts, responses, files, and web queries do under the current terms and where they go.
Test the actual job
Run the recurring task and compare output, source visibility, approvals, and the ability to act in systems.
The comparison boundary
Do not compare a plan name to a use case.
Current documentation wins
Enterprise data protection, retention, regional, and web-query behavior are checked against the current official terms.
Permissions stay explicit
Shared mailboxes, connected files, delegated access, and source permissions are reviewed before the workflow is trusted.
The business owns the decision
Whether Copilot, a private build, or a mix is right remains a decision for the client with its advisers.
A practical Copilot comparison
Put the actual workflow through both routes.
Map current use
List users, data, connected sources, prompts, outputs, and the recurring workflow.
Review the current terms
Check the official Copilot documentation and the client's agreement for data path, retention, and controls.
Test the workflow
Run the same questions and outputs in the available route and measure sources, access, and gaps.
Scope the private gap
If the managed route is insufficient, define a private workflow with client-owned accounts and a fixed test set.
Copilot can be the right answer. A private build becomes useful when the workflow needs a different boundary.
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 Copilot send data to a public AI model?
The current position depends on plan, configuration, and terms. We review the official documentation and the client's agreement before concluding.
Is Copilot always the cheaper route?
Not necessarily. Compare licensing, configuration, admin time, and the workflow gap with the cost of a scoped private deployment.
Can you recommend Copilot instead of a build?
Yes. A useful review identifies when the existing Microsoft route is sufficient, not when a new deployment should happen for its own sake.
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 workflow
What does Copilot still not solve?
Tell us the recurring task, the Microsoft environment, the data classes, and the review owner. We will map the gap before recommending a build.