Turn Microsoft into your biggest competitive advantage

85% of fortune 500s run on Azure.

OptiSol closes the gap - with modernization, AI agents, and data intelligence that turn Microsoft investment into measurable business impact.

Trusted by leading enterprises

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LnT

Move legacy platforms into Azure - in 8 Weeks

OptiSol’s proprietary iBEAM tool suite eliminates the risk and cost of that modernization backlog, converting legacy Oracle, PowerBuilder, and Xamarin environments directly into production-ready Azure infrastructure.

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FormLift

Oracle Forms to Azure web app
From form logic to Azure Web App – fully automated, zero workflow disruption, and human-verified before every sign-off.
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JCT

Oracle Reports to Jasper on Azure
Converts legacy reporting systems into Jasper Reports running on Azure infrastructure.
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O2PIMS

Oracle DB to Azure SQL
Seamlessly migrate your enterprise databases to Azure SQL with end-to-end schema conversion, data validation, and performance tuning – ready for enterprise workloads from day one.
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IntDoc

Legacy Codebase to Structured Documentation
Generates structured documentation and use cases from legacy applications and codebases.
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Xamarin to MAUI

Mobile App Modernization
Converts enterprise mobile applications into .NET MAUI with preserved business logic, modern UI alignment, and full Azure service integration support.
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PBStudio / PBShift

Converts PowerBuilder applications including data windows, UI components, and business logic into Azure Web App architecture with integrated Azure services.
0
%
Conversion work automated by iBEAM
0
%
Cost reduction vs. fully manual programs
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Wks.
Typical modernization engagement duration
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Operational disruption during conversion
0
%
Human engineer review at every delivery stage

Enterprise data, unified on Microsoft Fabric

OptiSol builds production-grade Fabric environments - connecting data engineering, analytics, and AI in
a single governed platform on OneLake, with security and compliance embedded from day one.

Data Engineering and Lakehouse
Data Warehousing and Analytics
Real Time Intelligence and Data Science

Build a unified enterprise data platform on Microsoft Fabric — powered by OneLake, Delta Lake, and automated pipelines for fast, scalable, zero-copy data access.

Lakehouse architecture design and implementation on Microsoft Fabric for enterprise data teams.
Data pipeline development using Fabric Data Factory for ingestion from enterprise source systems.
Delta Lake tabmsle management supporting structured and unstructured enterprise data at scale.

Transform raw data into actionable insights with Microsoft Fabric — leveraging Synapse Analytics, Power BI, and a unified semantic layer for enterprise scale.

Synapse Data Warehouse setup and optimization for high-performance analytical queries.
Power BI semantic model design and dashboard development for business intelligence reporting.
End-to-end data governance and cataloguing using Microsoft Purview integration.

Unlock real-time insights and AI-driven models with Microsoft Fabric — combining Eventstream, KQL databmsases, and Notebook-based data science workflows.

Real-time event streaming and KQL analytics for low-latency operational intelligence.
ML model development and deployment using Fabric Notebooks and MLflow integration.
AI-powered data science pipelines connecting to Azure OpenAI and Copilot experiences.

Five AI agents. One governed software delivery pipeline.

Our AI engineering pipeline runs five sequenced agents with human review built into every delivery stage.

Legacy application assets to technical specifications
Turns legacy code into clear technical specs and business requirement docs - Azure-aligned, human-reviewed, and ready for the next stage.
Focus Areas:
Legacy application assets read and analyzed for documentation generation.
Technical specifications produced with accuracy and structured formatting.
Business requirements identified and extracted from existing application logic.
Output aligned with Azure architecture and modernization planning standards.
Technical Specs to Sprint-Ready User Stories
Turns your documents and specs into clean, prioritized user stories — fully traceable, Azure DevOps-ready, and human-reviewed before delivery.
Focus Areas:
Analysis and conversion of business documents into a structured user story format.
Well-defined and prioritized story output supports sprint planning.
Maintains requirement traceability from specification through to the delivery stage
Output aligned with Azure DevOps backlog and story management standards
User Stories to Azure-Native Applications
Turns your user stories into full-stack Azure and .NET code — front-end, back-end, and data tiers included — with a human engineer reviewing every output before it reaches QA.
Focus Areas:
Azure Web App and .NET applications built from structured user story input
Code generated with alignment to Azure integration and service standards
Application layers developed across front-end, back-end, and data tiers
Output quality aligned with engineering review and delivery team standards
Code Output to Validated, Pipeline-Ready Release
Automated testing across every feature, business rule, and integration — built into your Azure DevOps pipeline with clear, actionable defect reports.
Focus Areas:
Automated validation run across all application features and business flows
Configure Azure DevOps pipeline integration for release and quality management.
Quality coverage applied across code, business logic, and integration points.
Defect findings were structured and reported for the engineering team review and action.
Validated Build to Live Azure Production Environment
End-to-end Azure setup using Infrastructure as Code. Launches without a single disruption. Monitoring and observability switched on from the start.
Focus Areas:
Teams use Infrastructure as Code to provision and deploy all Azure environments.
Application went live with zero disruption to existing enterprise operations.
Configure Azure Monitor and App Insights for full operational visibility
Continuous monitoring is active across all deployed application environments

Purpose-built AI agents for every enterprise domain

OptiSol’s elsai Foundry builds vertical AI agents using large language models on Azure for any enterprise workflow - domain-specific, governed, and ready for production deployment.

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ESG Compliance Agent

Monitors, collects, and structures ESG data across enterprise operations for reporting and compliance teams.Read More »

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Contract Management Agent

Reads, classifies, and surfaces key contract terms and renewal signals for legal and procurement teams.Read More »

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Vendor Management Agent

Tracks vendor performance, risk signals, and compliance status across enterprise procurement workflows.

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Invoice Processing Agent

Extracts, validates, and routes invoice data across enterprise finance and approval workflows automatically.

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HR Policy Agent

Answers employee queries, surfaces policy documents, and supports HR teams with structured information delivery.

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Risk Assessment Agent

Analyses operational and financial data to surface risk signals for enterprise governance and audit teams.

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Regulatory Reporting Agent

Collects, structures, and prepares regulatory data submissions for enterprise compliance and reporting teams.

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Customer Intelligence Agent

Surfaces customer behaviour patterns and insights for enterprise sales and service delivery teams.

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Capability Statement

Built entirely on Azure AI Foundry with no third party orchestration dependencies or external platform requirements.

One platform governing every agent across your enterprise

The elsai platform connects agents, teams, and decisions into one governed and observable Azure workflow environment.

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Full observability

Every agent action, decision, and output is visible in real time. No black-box operations. Audit-ready logs across every workflow and decision point.
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Compliance tracking

The platform tracks, logs, and structures each workflow step to meet enterprise governance, risk, and audit requirements out of the box.
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Human oversight

Human operators retain full control and override authority at every decision point across all agent workflows. AI augments – it never replaces – human judgment.
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Agent orchestration

Run all your modernization, engineering, and vertical agents from one orchestrated hub – eliminating fragmented tools and workflow gaps.
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Azure native foundation

Built entirely on Azure AI infrastructure. No third-party orchestration. No external platform dependencies. Your agents run where your data already lives.

Enterprise platform services on Microsoft Technologies

OptiSol delivers end-to-end Dynamics 365, Power Platform, and ServiceNow services - from initial implementation to ongoing optimization.

Full Dynamics 365 suite - ERP and CRM for enterprise operations.
Focus Areas:
Futures & Options: Commodity trading and risk management for enterprise finance teams
Customer Engagement: Sales and service configuration for enterprise commercial teams
Business Central: Mid-to-large enterprise finance and operations management
Azure & Power Platform integration across Dynamics 365 environments
Enterprise automation, reporting, and app delivery using the full Power Platform suite.
Focus Areas:
Power Automate: Workflow design for enterprise process automation
Power BI: Dashboard and reporting solutions for enterprise data visibility
Power Apps: Rapid governed application development for enterprise teams
Power Platform + Dynamics 365 + Azure data environment integration
Full Dynamics 365 suite - ERP and CRM for enterprise operations.
Focus Areas:
Futures & Options: Commodity trading and risk management for enterprise finance teams
Customer Engagement: Sales and service configuration for enterprise commercial teams
Business Central: Mid-to-large enterprise finance and operations management
Azure & Power Platform integration across Dynamics 365 environments

What OptiSol engagements deliver

Our AI agents plus expert engineers deliver outcomes legacy integrators and manual teams simply can’t match - measured and tracked end‑to‑end in the elsai platform.

0%
Automation rate
Seventy percent of modernization and delivery work handled by iBEAM tools and AI agents.
0% Cost reduction
Enterprise operations continue without interruption throughout the entire engagement period.
0 weeks Time to Azure
Seventy percent of modernization and delivery work handled by iBEAM tools and AI agents.
Zero Business continuity
disruption
Most focused modernization engagements are completed and live on Azure within eight weeks.
Human Quality assurance
at every stage
Every automated stage is reviewed and approved by an engineer before the next stage begins.

Start your Microsoft Azure journey with OptiSol today

Book a conversation with our team to explore platform services, AI agents, and Azure solutions for your enterprise.

We have addressed the most common questions around our platforms, tools, agents, and engagement approach below.

Which legacy platforms does iBEAM modernize to Azure?

iBEAM supports Oracle Forms, Oracle Reports, Oracle DB, Legacy .NET, Xamarin, and PowerBuilder — the six most common legacy platforms encountered in enterprise modernization programs. All tools are available transactable on the Microsoft Azure Marketplace.

How long does a typical modernization engagement take?

Most focused modernization programs are completed and delivered on Azure within eight weeks. The iBEAM tool suite automates 70% of conversion work, which is what makes this timeline consistently achievable across platforms.

What does 'human oversight' mean in your AI engineering pipeline?

Every agent in the pipeline — Documentation, Analyst, Developer, QA, and CloudOps — completes its stage and produces output. A human engineer then reviews and approves that output before the next agent begins. No stage proceeds without human sign-off.

How does Microsoft Fabric improve on our existing data stack?

Fabric unifies data engineering, warehousing, real-time analytics, machine learning, and BI into one governed platform on OneLake — eliminating data movement, duplication, and the operational overhead of managing multiple point solutions. Forrester named Fabric a leader in streaming data platforms in Q4 2025.

Can elsai foundry build agents for regulated industries?

Yes. elsai foundry agents are built on Azure AI with governance and compliance built into every workflow via the elsai platform — including audit trails, human override controls, and Microsoft Purview integration. Agents are deployed for ESG, regulatory reporting, risk assessment, and financial compliance functions.

What does the elsai platform add beyond the individual agents?

The elsai platform is the enterprise orchestration and governance layer. It connects all agents into one observable environment, tracks compliance across every workflow step, logs all decisions for audit purposes, and gives human operators full control and override authority at any decision point. It is built natively on Azure AI — no third-party dependencies.

How does OptiSol differ from other Microsoft solution partners?

OptiSol brings proprietary tooling (iBEAM), a governed AI delivery model (five-agent pipeline with human review), an enterprise agent orchestration platform (elsai), and full-stack Microsoft coverage — from legacy database migration to Dynamics 365 to Copilot agents. Most Microsoft partners operate in one or two of these areas. OptiSol operates across all of them.

What Microsoft certifications and partnerships does OptiSol hold?

OptiSol is a Microsoft Solutions Partner with iBEAM tools transactable on the Azure Marketplace. [Add specific designations, certifications, and competencies here — e.g., Azure Expert MSP, Solutions Partner for Digital & App Innovation, Data & AI, etc.]

Which Azure services power OptiSol solutions?

We use Azure OpenAI, Azure SQL, Azure App Service, Azure DevOps, Azure Monitor, Azure AI Foundry, Azure Cognitive Search, Microsoft Fabric, OneLake, Azure Kubernetes Service, and Azure Infrastructure as Code tooling across our delivery engagements.

How do we get started?

Book a 30-minute discovery call with our Microsoft practice team. We will assess your current environment, identify the highest-impact starting point, and propose a structured engagement model — whether that is a modernization sprint, a Fabric data platform build, or an AI agent pilot.

Our clients success stories

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