BETSOL AI Labs

Live demonstrations of AI-powered solutions for our customers.
AI assistance, augmentation, and even complete automation.

Related blog
Learn and play chess
Ironsight
Healthcare clinicians portal
HRMS
Algis
Smart jira
Specialist Guide

Demo lab projects

Greenfield without 3rd-party integrations chess.betsol.com

AI-accelerated app development

A secure, high-performance application built entirely through AI-guided development as a POC for taking AI automation to the extreme. Features adaptive AI opponents, personalized learning paths, and an AI-authored content management system.

Key highlights

Built from concept to deployment in 2 weeks
AI wrote 100% of the code under expert guidance
Includes 50+ AI-generated lessons and tutorials
Enterprise-ready with full security and performance optimization

Try now More

Features

Full-featured web-based Chess Trainer, including modules, lessons, demos, exercises, analytics, and adaptive free play against AI.
Complete content management system (like WordPress) built from the ground up to allow for agentic AI to write all of the marketing content, while meeting all SEO best practices.

Human work

Brainstormed the initial idea with AI
Structured the AI workflow
Performed user acceptance testing for most user stories

AI work

Brainstormed the initial idea with the human
Wrote the PRD (Product Requirements Document)
Research and created the chess curriculum
Created the style guide
Broke down PRD into development phases → Sprints → small, testable User Stories
Wrote prompts for each User Story
Executed the Sprints, automatically pulling from backlog
Tested and debugged
Ensured enterprise readiness by ending each sprint with performance and security User Stories
Managed CI/CD, build, and production deployments
Created the content plan
Wrote all marketing content and created all images

Agentic Tech & Workflows

Claude
Modern web frameworks
Automated testing
CI/CD pipelines

Greenfield with 3rd-party integrationsBETSOL

IronSight: Detecting Shadow IT & Shadow AI

IronSight is a security innovation designed to provide real-time visibility and control over enterprise Windows endpoints. Built as an AI-driven monitoring platform, it helps identify risky domain access, shadow IT usage, and emerging shadow AI activity including unauthorized AI tools and services, enabling proactive risk management, stronger data protection, and adaptive enterprise governance.

Key highlights

Real-time DNS-level monitoring across enterprise endpoints
Instant blocking of unauthorized domains and AI services
Centralized visibility into applications, AI usage, and device activity
Comprehensive audit trails supporting compliance and security analysis

Capabilities:

Captures all DNS queries at the kernel level, including traffic that bypasses traditional monitoring tools
Enforces security policies instantly using NRPT rules and Windows Firewall integration
Terminates active TCP connections to prevent data exfiltration to unauthorized services
Aggregates installed software by publisher through registry-based inventory collection
Generates AI-assisted risk insights for domains and applications with cached intelligence
Stores authoritative DNS responses and full historical activity for audit and investigation

Agentic Tech & Workflows

Claude Code
Python
Rust
ClickHouse
Windows ETW
Modern web frameworks

Greenfield without 3rd-party integrations U.S. Healthcare Company

AI-Enhanced Clinicians Tracking System

A comprehensive provider management and clinician operations portal built using secure agentic AI and augmented engineering workflows. Designed for healthcare environments, the platform delivers real-time clinician availability, facility scheduling, and advanced provider search while replacing fragmented legacy tooling. The system combines AI-assisted development with human validation to achieve faster delivery without compromising healthcare-grade security, auditability, or data integrity.

Key highlights

Real-time clinician availability and facility scheduling visibility
High-performance provider directory with sub-100ms search response
Healthcare-grade security with Azure AD SSO, MFA, and RBAC enforcement
Scalable serverless architecture with fully auditable clinician and provider workflows

Capabilities

Centralized clinician resource management and provider directory
Advanced provider search via optimized Azure SQL views (including vwProviderSearchEnhanced)
Secure role-based access control aligned with Azure AD groups
Parameterized data access with stored procedures and strict read/write separation
Centralized audit logging and privacy-aware error handling
Automated Swagger/OpenAPI documentation and developer artifacts
Expanded unit and regression coverage through AI-assisted test generation
Scalable serverless backend powered by Go-based Azure Functions

Agentic Tech & Workflows

Claude
Microsoft Azure
Azure SQL
Swagger / OpenAPI
Go (Azure Functions)

Brownfield with 3rd-party integrations BETSOL

AI-Powered HRMS Platform

A full-featured HR management system with employee lifecycle management, digital onboarding workflows, document management, Azure AD integration, and real-time compliance tracking.

Key highlights:

Hierarchical organization structure with multi-level reporting
Real-time Azure AD synchronization every 15 minutes
Automated employee onboarding and offboarding
GDPR and SOC 2 compliance built-in

Read the case study More

Secure document storage with Azure Blob integration
Role-based access controls with granular permissions
Automated retention policies and compliance tracking
Version control and audit trails for all documents
Customizable task templates for different roles
Multi-department coordination (IT, HR, Finance, Manager)
Progress tracking and automated notifications
Digital document collection and e-signatures
Immutable audit logs for all system actions
AES-256 encryption at rest, TLS 1.3 in transit
Role-based access control with Azure AD SSO
Backend: Python 3.11+, FastAPI, SQLAlchemy 2.0 (async), Pydantic, Celery, PyJWT
Database: MySQL 8.0+ with complex relational schema, stored procedures, and triggers
Cloud: Microsoft Azure (App Service, Blob Storage, Azure AD, Key Vault, Monitor)
Security: OAuth 2.0, SAML SSO, JWT tokens, field-level encryption
Integration: Microsoft Graph API, Office 365, automated AD sync with conflict resolution

Agentic Tech & Workflows

Claude
Python
MySQL
Microsoft Azure

Greenfield with integrations BETSOL

Domain-Agnostic Monitoring & Remediation Framework

AIgis is a domain-agnostic framework for building intelligent monitoring and remediation pipelines. It defines collectors to gather signals from any domain, apply deterministic rules for threshold-based evaluation, and optionally invoke AI models or enterprise LLMs to explain anomalies and generate structured remediation actions. All of this is gated behind human approval before execution.

Key highlights

Domain-agnostic collector protocol: plug in any signal source, get typed outputs
Deterministic rules engine with cascading WARN/CRITICAL severity levels
AI-powered explanation layer for anomaly explanation and confidence-scored action suggestions
Human-in-the-loop approval gate, no autonomous execution
Run history is fed back to the LLM for cross-cycle continuity and pattern detection
Web dashboard + REST API for config, history, and real-time execution streaming

Agentic Tech & Workflows

Python
FastAPI
React
Enterprise LLM APIs
Observability frameworks

Greenfield with integrations BETSOL

AI-Powered Worklog Management via MCP

Smart Jira is an MCP-based AI server that eliminates manual Jira time tracking by enabling engineers to log work directly from their IDE or AI assistant using natural language; removing friction, reducing overhead, and improving reporting accuracy.

Key highlights:

MCP-based toolchain for seamless IDE and AI assistant integration
Bulk worklog automation via spreadsheet templates and uploads
Intelligent detection of missing worklogs across projects
One-click generation of project retrospectives with effort breakdowns
Natural language work logging (e.g., “Log 2h on SOL-3456”) in seconds
Eliminates daily context switching and manual Jira navigation

Agentic Tech & Workflows

Go
MCP (Model Context Protocol)
Jira APIs
AI assistants

AI-Powered Worklog Management via MCP | BETSOL

AI-Assisted Decision Flow for Support Teams | BETSOL

Brownfield with 3rd-party integrations BETSOL

AI-Assisted Decision Flow for Support Teams

An AI-driven support enablement tool that transforms static knowledge bases into interactive, guided workflows — helping specialists resolve customer issues faster, more consistently, and with built-in compliance and auditability.

Key highlights

Guided decision trees for standardized, step-by-step issue resolution
Real-time checklists to ensure complete and compliant interactions
AI-assisted issue identification using contextual pattern analysis
Automatic session documentation with full audit trails
Centralized SOP management with real-time updates and version control
Improves consistency while reducing chat handling time

Agentic Tech & Workflows

Desktop application (Windows)
Embedded web interface
SQLite
Custom AI engine

Project Complexity Categories

Understanding how project type impacts AI-driven development efficiency

AI IMPACT: HIGH

Greenfield

Without Integrations

Built from the ground up with zero external dependencies.

Highest AI acceleration potential
Minimal integration complexity
Maximum time and cost savings

AI IMPACT: MEDIUM

Greenfield

With Integrations

Net-new solution incorporating external platforms, APIs, or data sources.

AI still drives efficiency gains
Integration design adds scope
Dependency management increases complexity

AI IMPACT: LOWER

Brownfield

Legacy Modernization

Migrating or modernizing existing systems with undocumented or partially documented business logic.

Extensive discovery required
Tribal knowledge dependencies
Highest project risk level

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