From platform capability to business solution
Palantir provides powerful capabilities for data integration, Ontology modelling, business logic and AI. The harder part for a financial institution is defining the financial meaning, relationships, decision logic and controls required for a valuable business use case.
Finsight accelerators provide a focused starting point. They combine reusable financial patterns with a working reference solution that can be adapted to an institution’s own data, terminology, rules and controls.
What Finsight adds
Focused building blocks that turn platform capability into a defined, governed financial use case.
Financial domain modelling
Financial concepts, relationships and business meaning designed around real institutional use cases.
Ontology design
Palantir Ontology models that connect business entities, observations, positions, controls and other relevant context.
Governed business logic
Deterministic Python Functions and explicit rules that turn underlying data into explainable business signals.
AI interaction patterns
AIP assistants that resolve user intent, invoke governed tools and explain evidence rather than invent business decisions.
Working reference solutions
End-to-end examples that can be adapted to institution-specific requirements rather than starting from a blank implementation.
A governed financial AI pattern on Palantir
Each accelerator follows the same pattern: platform data pipelines, an explicit Ontology, governed Python business logic and AIP interaction on top.
Client Opportunity Assistant
Turn fragmented financial context into explainable client opportunities.
Capital-markets opportunities rarely exist in a single dataset. A useful client conversation may depend on client preferences, current portfolios and positions, market observations, upcoming events, firm inventory, product capabilities, eligibility and restrictions.
The Client Opportunity Assistant brings these signals together through the Palantir Ontology and evaluates them using governed Python business logic. AIP then provides conversational access to the resulting opportunities and their supporting evidence.
Opportunity families
Reinvestment
Identify upcoming maturity-driven client conversations.
Hedging
Identify material exposure changes that may warrant a hedging discussion.
Concentration
Surface material portfolio concentration signals.
Liquidity
Identify significant upcoming liquidity requirements.
Inventory Match
Match available firm inventory against client preferences, eligibility and restrictions.
New Issue
Identify relevant open new issues for eligible clients.
Relative Value
Identify held instruments showing meaningful deviation from maturity-comparable peers.
Cross Sell
Connect material client exposures with relevant available product capabilities.
AI explains the opportunity. It does not invent it.
The Client Opportunity Assistant deliberately separates deterministic business logic from generative AI.
Governed opportunity engine
Determines which opportunities qualify
Palantir AIP
Resolves intent, orchestrates tools, summarises evidence and supports conversation
This separation makes business rules explicit and testable while preserving the flexibility of conversational AI.
Built using Palantir capabilities
The Client Opportunity Assistant is implemented using standard Palantir platform primitives.
Adapt the accelerator to your institution
The reference solution is designed as a starting point rather than a fixed application. Client definitions, financial products, thresholds, eligibility logic, data mappings and AI behaviour can be adapted to the institution's own semantic model, controls and workflows.
- Map institution-specific data sources.
- Adapt the Ontology to internal business terminology.
- Configure or extend opportunity rules.
- Integrate institution-specific controls.
- Add new opportunity families.
- Extend from assistant workflows into operational workflows when required.
Client Opportunity Assistant is the first Finsight Palantir Accelerator. The same approach can be applied to other high-value financial use cases that require multiple sources, explicit business meaning, governed logic and AI-assisted decision support.
Start with one high-value use case
Use an accelerator as the starting point, then adapt the data, Ontology, business logic and AI interaction to your institution.
Discuss a Palantir Use CaseFinsight Technologies is an independent company. References to Palantir, Foundry and AIP describe technologies used in our solutions and do not imply endorsement or affiliation with Palantir Technologies.