A ready team workspace
A managed plan may provide identity, workspace administration, connected sources, retention controls, and a faster start when its terms fit.
Architecture comparison / managed versus private
Your team may need ChatGPT. It may need more than ChatGPT.
A managed enterprise workspace can be the sensible answer when its account, access, retention, connector, and contractual controls fit the business. A private deployment becomes useful when the workflow or data path needs a different boundary. We help compare the two without treating either label as a guarantee.
Current terms matterWorkflow fitData pathNo default answer
Example only / provider choice is scoped
The decision is not a slogan
Compare the controls the work actually needs.
The right route depends on the firm's data classes, users, source systems, actions, and ability to operate the result.
A workflow you shape
A private deployment gives more say over the application, retrieval layer, provider path, interface, integrations, and handover boundary.
Different work, different routes
Public research, ordinary drafting, client files, and restricted matters do not have to share one route if the policy says otherwise.
Questions to put beside the quote
The plan name is not the data path.
Who can see what?
Check workspace roles, connected-source permissions, admin visibility, joiner and leaver process, and audit requirements.
What is kept and for how long?
Review current provider terms, deletion behavior, logs, backups, and the retention period your own policy requires.
Can it do the actual job?
A generic chat workspace may not handle the queue, approval, source update, or system action your team needs.
A practical comparison
Choose by requirement, not fear.
Map current use
List who uses AI, what they ask, which data enters, which tools connect, and what output returns to the business.
Write the required controls
Name account ownership, access, retention, region, audit, provider contract, source permissions, and action boundaries.
Test the managed route
Check whether the current plan and its terms can handle the first workflow without inventing a control it does not provide.
Build privately where needed
If the gap is real, scope a private workflow with client-owned accounts, a fixed test set, and a documented data path.
A managed workspace can be the right answer. The mistake is choosing it, or rejecting it, without mapping the work.
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.
Are managed enterprise plans unsafe?
Not by default. Their current terms and controls must be compared with the company's data, access, retention, and contractual requirements.
Why would we pay for a private deployment?
When a specific workflow needs a different data path, permission model, interface, integration, or ownership boundary than the managed plan provides.
Can you recommend the managed plan instead?
Yes. A useful architecture review should identify when the existing managed route is sufficient, not create infrastructure 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 comparison
What does the managed plan still not solve?
Tell us your current workspace, data classes, source systems, and first workflow. We will map the gap before recommending a build.