Private AI for Business

Timeline / first private AI workflow

One workflow takes 2 to 3 weeks, after the scope is real.

We deliver one custom workflow in 2 to 3 weeks and a wider deployment in 4 to 6 weeks. The timeline depends on source access, document quality, review speed, and how quickly the team can test with real questions.

2 to 3 weeksFixed scopeClient reviewFull handover
A neutral example of the same workflow pattern, run on supplied synthetic material.

Pattern demonstration / same workflow, synthetic material

Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover

What actually sets the pace

The work is not building the model. It is preparing the boundary.

Most of the timeline goes into sources, permissions, testing, and training. Those are also the parts that make the system useful.

01 / SOURCE

Access and approval

The document set, owners, access rules, and review route must be named before build.

02 / TEST

Real question cycles

The system is tested against the team's actual questions and fixed before handover.

03 / TRAIN

People and runbook

Users, the named owner, and the support route are trained on the delivered workflow.

The timeline boundary

A quote is fixed after the scope, not before it.

SCOPE

One workflow is one source

Additional sources, users, integrations, or permission groups change the scope and timeline.

CLIENT

Review speed matters

Access approvals, document decisions, and test feedback are client-side inputs to the plan.

HANDOVER

Training is part of done

The clock includes training, documentation, and the credentials transfer.

A realistic first project

The milestones look like this.

Week one: scope and source

Agree the workflow, sources, permissions, output, and review owner.

Week two: build and test

Configure the system, run real questions, and fix retrieval, format, and access gaps.

Week three: train and hand over

Deliver the runbook, train users, transfer accounts, and agree the support route.

After: measure and adjust

Watch usage and errors, then decide whether a second workflow or wider scope is worth it.

A fast deployment is one where the scope stopped changing early.

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.

METHOD

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.

OWNERSHIP

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.

Annual support

Starting from
$3,000 / ₦1.5m
per year

Standard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.

See support

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

Straight answers

Common questions.

Can it be done faster?

Sometimes, if sources are clean and access is pre-approved. The 2 to 3 week range is the standard for a useful first workflow.

What delays most projects?

Unclear sources, delayed permissions, changing scope, and slow review of test outputs.

Does the client need to prepare anything?

A named owner, the document set, and approval to connect the chosen sources are the main inputs.

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.

THE ASSET

Your corpus, your index

The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.

THE LOCK-IN

Models are swappable parts

Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.

THE ALPHA

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 scope

Which workflow do you want in three weeks?

Tell us the source, users, output, and review owner. We will confirm whether it fits the one-workflow timeline before quoting.

Prefer email? Message us at hey@pristine3d.com.