Intentyfi empowers financial institutions to automate document-intensive, rule-complex workflows — accelerating decision velocity while remaining strictly bound by regulatory policy and internal business logic.
Financial workflows suffer from a dual bottleneck: processing unstructured documents (W-2s, KYB applications, claims) and evaluating them against dense policy rules (BSA/AML limits, DTI caps, TRID timing). Intentyfi unifies document intelligence with continuous constraint reasoning to automate both.
Rapidly ingests and parses unstructured financial documents, W-2s, KYB filings, and transaction logs in seconds.
Validates extracted data against executable Policy Rules in <1ms. Guarantees 100% adherence to internal and regulatory rules.
Executes pre-cleared routine actions automatically while auto-creating missing document tasks with complete structured audit trails.
Standard decision engines run static checks once at the end of a pipeline. Generic AI agents guess without boundaries. Intentyfi unifies perception and logic into an autonomous execution engine.
The engine re-evaluates every relevant constraint the instant any fact changes (a newly uploaded document, a corrected value, or a policy update), instead of running a one-time rule check at the end.
Only data that completely satisfies defined constraints is committed to your system of record (core banking, LOS, ERP). Downstream systems never see inconsistent or invalid state.
When data is missing or a constraint cannot be satisfied yet, Intentyfi creates the next task automatically (requesting a document, prompting the applicant, or escalating to a human officer).
Intentyfi Studio ingests human business guidelines, credit manuals, and KYB procedures, proposes data models and constraints, and deploys production backend logic in minutes.
Agents use LLMs for visual document perception, dialogue, and qualitative judgment — while the deterministic constraint engine retains strict authority over what actions are permitted.
Every evaluation step, rule execution, and automated routing action yields a SHA-256 hashed audit log for zero-friction regulatory inspections.
In-depth overview of our flagship pre-built financial workflows — featuring before/after efficiency metrics and cryptographic audit traces.
Automates business entity validation, Secretary of State registry cross-matching, TIN verification, and beneficial ownership screening against OFAC databases.
Parses corporate financial statements, tax filings, and bank feeds while continuously computing Debt Service Coverage Ratios (DSCR) and liquidity caps.
Detects transaction structuring patterns (repeated wire amounts under $10,000 threshold within 48 hours), clears routine false positives, and auto-drafts SAR narratives.
Financial buyers evaluate solutions based on policy adaptability, document handling, and data integrity. Here is how Intentyfi compares to legacy decision engines and generic LLM agents.
| Evaluation Criteria | Generic LLM Agents | Rules & Decision Engines | INTENTYFI |
|---|---|---|---|
| Time to Change a Policy | Days to weeks (prompt trial & error) | Weeks to months (IT release cycles & code) | Minutes (Studio converts policy docs to live specs) |
| Handling of Unstructured Documents | Native parsing, but prone to hallucinations | Cannot ingest docs; requires manual data entry / ETL | LLM perception + guarded constraint extraction (0% hallucination) |
| Reaction to Mid-Case Data Changes | Restart conversation / stateless prompt loop | One-time batch check; re-run entire pipeline | Continuous Constraint Reasoning (instant fact re-evaluation) |
| Data Integrity Guarantees | None (unbounded LLM text output) | High for static structured inputs | 100% Validated-Only Data (zero inconsistent DB state) |
| Explainability & Audit Depth | Opaque prompt logs / black box | Static decision tree execution logs | Full cryptographic audit trace per constraint evaluated |
| Human-in-the-Loop Routing | Manual human review required for every step | Rigid fail/pass flags; no task creation | Autonomous self-driving task creation for missing data |
Model-risk and compliance teams demand speed without sacrificing validation. Intentyfi combines visual policy-change workflows with automated backtesting before production release.
Risk officers adjust policy guidelines or logic constraints directly in plain English or Studio UI.
Automated static analysis checks for logical conflicts, syntax correctness, and regulatory bounds.
Backtest the new rule against 10,000+ past cases to instantly quantify impact, pass rate, and risk delta.
One-click release with full Git audit history, sign-off logs, and instant rollback protection.
Every decision generated by an Intentyfi agent creates an immutable structured execution record detailing exact inputs, policy rules evaluated, and outcome.
Experience how Intentyfi Studio converts your unstructured credit guidelines, underwriting procedures, or KYB policy into an active policy-enforced agent.