ElevAIyt — AI Risk Intelligence Platform

Overview

ElevAIyt — AI powered risk intelligence and governance

ElevAIyt is an AI powered risk intelligence and governance platform designed to help businesses identify operational risks, security concerns, compliance gaps, and other problematic activities before they become critical issues.

The platform combines structured governance workflows with AI-assisted analysis pipelines to generate contextual risks, severity estimates, recommended controls, mitigation actions, and audit-ready reports tailored to an organization's environment.

As a backend engineer I helped design the modular service architecture, AI orchestration, assessment management APIs, and report generation pipelines.

100+

Risk scenarios modeled

Governance domains supported

30+

Compliance frameworks mapped

99%

Audit traceability

Core features

AI Powered Risk Discovery — contextual analysis producing risks, classifications, and controls
Assessment Management — create, scope, track, and archive assessments
Issue Tracking & Remediation — automatic issue generation and full remediation lifecycle
AI Assisted Guidance — actionable remediation steps and governance guidance
PDF Reporting Engine — exportable, audit-ready reports with AI summaries

Platform capabilities

Context ingestion and structured prompting with schema validation
Dynamic risk modeling tailored by industry, workflows, and controls
Scalable assessment store with pagination and background processing
Secure evidence storage with signed S3 uploads and audit trails
Async report generation with template-driven rendering

Technical architecture

Backend: modular services (FastAPI + PostgreSQL) with AI orchestration, assessment & issue services, reporting worker, and file storage. Deployment uses Docker and AWS EC2/S3.

Python · FastAPI

Primary service framework for APIs and AI orchestration.

PostgreSQL

Primary data store for assessments, risks and audit logs.

AI providers

GPT-based risk generation and guidance orchestration.

AWS S3

Secure evidence storage with signed uploads and lifecycle policies.

SQLAlchemy

ORM layer with optimized queries and indexed schemas.

Docker + EC2

Containerized deployment and infrastructure on AWS.

Challenges

AI response consistency and malformed outputs
Dynamic risk modeling across industries
Large assessment datasets and heavy queries
Formatting and stability of large PDF reports
Secure and auditable file uploads

Solutions

Structured prompting, schema validation, and post-processing
Flexible contextual risk engine driven by inputs and controls
Indexed queries, pagination, and background processing
Template-driven async report renderer with standardized components
S3 signed URLs, permission checks, and audit logging

Code spotlight

AI Risk Analysis

Assessment Service

Issue Tracking

services/ai_risk/analysis_service.py
from typing import Dict, List


class AIRiskAnalysisService:
    """
    Handles AI powered business risk analysis.

    Responsibilities:
    - Process business context
    - Generate potential risks
    - Recommend controls
    - Structure AI responses
    - Validate AI generated content
    """

    async def analyze_business_context(
        self,
        organization_id: str,
        business_description: str,
        existing_risks: List[str]
    ) -> Dict:
        """
        Analyze business information and generate risks.

        Args:
            organization_id:
                Unique organization identifier.

            business_description:
                Detailed business workflow and operational description.

            existing_risks:
                User provided known risks.

        Returns:
            Structured AI risk analysis response.
        """
        pass

    async def generate_risk_controls(
        self,
        risk_id: str
    ) -> Dict:
        """
        Generate mitigation controls for a risk.

        Args:
            risk_id:
                Risk identifier.

        Returns:
            Recommended controls and governance guidance.
        """
        pass

services/assessment/service.py
from typing import Dict


class AssessmentService:
    """
    Manages assessment lifecycle operations.

    Responsibilities:
    - Create assessments
    - Track progress
    - Maintain assessment history
    - Generate issue records
    """

    async def create_assessment(
        self,
        organization_id: str,
        assessment_payload: Dict
    ) -> Dict:
        """
        Create a new business assessment.

        Args:
            organization_id:
                Organization identifier.

            assessment_payload:
                Assessment creation payload.

        Returns:
            Created assessment object.
        """
        pass

    async def close_assessment(
        self,
        assessment_id: str
    ) -> Dict:
        """
        Close an assessment after review completion.

        Args:
            assessment_id:
                Assessment identifier.

        Returns:
            Finalized assessment details.
        """
        pass

services/issue/tracker.py
from typing import Dict


class IssueTrackingService:
    """
    Handles issue lifecycle management.

    Responsibilities:
    - Create issues
    - Assign remediation owners
    - Track issue status
    - Verify issue closure
    """

    async def create_issue(
        self,
        risk_id: str,
        severity: str
    ) -> Dict:
        """
        Create a remediation issue.

        Args:
            risk_id:
                Associated risk identifier.

            severity:
                Risk severity level.

        Returns:
            Newly created issue object.
        """
        pass

    async def resolve_issue(
        self,
        issue_id: str
    ) -> Dict:
        """
        Mark issue as resolved.

        Args:
            issue_id:
                Issue identifier.

        Returns:
            Updated issue status.
        """
        pass