Normalize the files
Prepare fields from agreed exports, statements, invoices, and schedules without erasing the original source.
Finance operations / close preparation
Close faster by seeing the exceptions first.
We build read-only or draft-first finance workflows that normalize approved exports, prepare reconciliation evidence, explain variances, and give a finance owner a review queue. The system does not file, approve, or move money on its own.
Source preservedVariance draftsFinance reviewClient-owned accounts
Pattern demonstration / not a finance deployment
The close has a preparation problem
Bring the evidence forward.
Finance does not need a confident paragraph. It needs the source, the calculation, the exception, and a person who can approve the conclusion.
Surface the variance
Compare the defined periods or categories and draft a memo that points to the records still needing review.
Build the checklist
Turn recurring close steps into a current queue with owners, missing evidence, and a visible exception path.
Numbers need an audit trail
Use AI around the control, not instead of it.
Keep the record attached
A reviewer can trace a prepared field or explanation back to the file, period, and extraction step.
Separate rules from prose
Deterministic calculations should remain visible. The model can summarize and draft, but it should not hide the math.
Finance owns the result
Filing, payment, reporting, and financial conclusions remain with the qualified owner and the client's controls.
A safe first workflow
Start with one recurring close pain.
Choose the source and period
Name the export, schedule, ledger view, or document set and the time window the pilot must handle.
Define the reconciliation rule
Agree which fields, thresholds, comparisons, and exceptions are useful before a model writes a summary.
Test the draft against known answers
Check extraction, calculation, citation, missing data, and unsupported explanations with finance reviewers.
Hand over the review loop
Document the update process, accounts, test record, limitations, and who approves any future integration.
The assistant can prepare the evidence. Finance still owns what the evidence means and what the company does next.
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
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.
Is this the same as AI for accountants?
No. An accounting firm searches and drafts from a professional archive for its clients. Finance operations handles an internal company's own close, reconciliation, and control workflow.
Can it file or approve payments?
Not in the default pilot. Those actions require qualified review, explicit permissions, testing, and a separately scoped integration.
What should we start with?
One recurring export, reconciliation, variance explanation, or close checklist with a known owner and a fixed test set.
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 one close step
Which finance task keeps returning?
Tell us the source, period, output, and review boundary. We will help decide whether it is suitable for a controlled pilot.