Praxis
Turning long-form securities regulation into traceable obligations, machine-ready rules, assigned work, and audit evidence.
Compliance work connected to its source.
Praxis ingests SEBI circulars and converts regulatory text into discrete obligations with verbatim provenance. Human reviewers approve consequential interpretations before the system generates rules, tasks, evidence templates, and audit packages.
The platform combines deterministic document processing, a LangGraph multi-agent pipeline, hybrid retrieval, enterprise APIs, persistence, identity, and a 24-page operational workspace.
From document ingestion to audit output
- Regulatory document processing
- Multi-agent orchestration
- Human review workflow
- Rules, tasks, and evidence mapping
- Enterprise API and persistence
- Compliance operations workspace
Regulation could not become automation without trust.
Master circulars are long, amended over time, and filled with cross-references. A naive model pass is expensive, difficult to review, and too fragile for consequential compliance work.
The platform needed to preserve exact provenance, scale to large documents, separate interpretation from generation, give humans a real decision gate, and keep every downstream task and evidence item auditable.
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Long circulars carrying dense cross-references
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Model output difficult to verify at scale
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Consequential interpretations needing approval
- 4.
Tasks and evidence losing source traceability
What We Were Really Solving
This was not document summarization. It was controlled transformation from regulation to accountable work.
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Reduce before reasoning
Use deterministic structure to reserve model work for relevant sections.
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Keep every claim grounded
Carry verbatim source text and context into each obligation.
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Protect the decision boundary
Require a human review before interpretations become rules.
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Preserve the audit chain
Link operational work and evidence back to approved obligations.
A controlled path from source text to action
Deterministic processing reduces noise before agents reason, and an explicit review boundary prevents unapproved interpretations from becoming operational rules.
- 01
Prepare
Classification, sectioning, fingerprinting, diffing, and candidate filtering reduce the document before model work begins.
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Extract
Specialist agents identify obligations with source text, context, confidence, and intermediary relevance.
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Review
A human gate supports approval, correction, or rejection before any rule or workflow is generated.
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Operationalize
Approved obligations become rules, owners, deadlines, evidence templates, and traceable audit exports.
Agentic automation with structural guardrails
The system treats reviewability and provenance as core architecture, not interface decoration.
- 01
Scale-aware ingestion
Deterministic preprocessing cuts unnecessary model calls while retaining the sections most likely to contain obligations.
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Two-phase agent pipeline
Extraction and generation are separated by a required human review state.
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Grounded compliance graph
Obligations, rules, tasks, evidence, source sections, and owners remain linked throughout the workflow.
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Operations command center
The workspace surfaces reviews, deadlines, filings, risk, activity, analytics, evidence, and grounded copilot answers.
An enterprise compliance stack
Document intelligence
Parsing, OCR fallback, structural analysis, and hybrid retrieval support large regulatory source material.
Agent orchestration
LangGraph coordinates specialist extraction, rule, workflow, evidence, and reporting agents.
Human review
Consequential output remains pending until a reviewer approves, edits, or rejects it.
Enterprise backend
FastAPI, PostgreSQL, Redis, ChromaDB, and identity services support the operational product.
Compliance workspace
Twenty-four screens cover daily work from obligations and tasks to evidence and audit trails.
Audit-ready exports
Traceable PDF and spreadsheet packages connect evidence back to approved source obligations.
Automation that stays accountable
Praxis is full-stack AI delivery built for a high-trust domain: document engineering, retrieval, agent orchestration, workflow controls, enterprise services, and a complete operations interface.
Its strongest proof is not just generation speed. It is the visible chain from source regulation to reviewed obligation, operational task, and audit evidence.
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