Find the relevant wording
Search approved policy documents, endorsements, guides, and prior material with source and version visible.
Insurance / policy, claims, and document operations
Insurance work is document-heavy, but the decision still needs a person.
We build controlled workflows that search policy material, extract claim or submission fields, prepare broker or internal responses, and surface exceptions. The system supports review; it does not decide coverage, liability, or a claim outcome on its own.
Policy sourcesClaims intakeExceptions visibleHuman decision
Pattern demonstration / not a claims decision
Where insurance teams repeat work
The file has a shape before it has a decision.
The safe opportunity is to prepare the evidence and queue, then leave the underwriting, coverage, and claims judgment with the right person.
Extract the submission
Prepare defined fields from claims, broker, or customer documents and flag what is incomplete or ambiguous.
Prepare the review pack
Collect approved changes, dates, documents, and questions into a queue for the underwriter or account owner.
High-stakes boundaries
Preparation is not automated underwriting.
Keep the policy version
A reviewer needs the exact wording, date, endorsement, and source behind an extracted answer.
Separate matters and roles
Claims, underwriting, brokers, customers, and internal teams may have different document boundaries.
Escalate the judgment
Coverage, liability, pricing, and claims decisions remain with qualified people and the client's controls.
A first insurance workflow
Choose the queue before the outcome.
Name the document and user
Choose claims intake, policy search, broker request, renewal, or another defined workflow.
Define the fields and rule
Specify what is extracted, what counts as missing, and what requires an underwriter or claims owner.
Test difficult documents
Use scans, tables, endorsements, incomplete files, conflicting sources, and known exceptions.
Hand over the queue
Document source updates, permissions, reviewer training, test results, and the route for a failed or uncertain item.
The insurance assistant should make the evidence easier to review, never make a high-stakes decision easier to skip.
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.
Can it approve claims?
No. It can extract, search, summarize, and prepare a review queue. Claim, coverage, and pricing decisions remain with qualified people.
Can it read policy documents and endorsements?
Yes, if the corpus, versions, permissions, and evaluation questions are defined and tested.
Can it connect to an insurance system?
A connector or approved action can be scoped after the first read-only or draft workflow is reliable.
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 policy or claim
Which insurance file takes too long to prepare?
Tell us the document, fields, reviewers, and decision boundary. We will help define a controlled first workflow.