Cloud-native & AI-powered solutions on Azure

Automate a task. Connect a workflow. Build what's next. Find the right starting point for your team.

Every engagement is built on the Microsoft Azure ecosystem and scoped around measurable business outcomes.

Intelligent AI Agents

Build agents that reason, connect, and act across your enterprise

Typical timeline 4–6 weeks

Is this for your team?

Operations, finance, and business leaders at mid-market companies looking to automate complex tasks that require reasoning—not just rule-based workflows.

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What changes for your business

Reduce manual task time by 60–80% with agents that handle end-to-end processes
Connect siloed systems—CRM, ERP, databases, APIs—through intelligent agent(s)
Deliver consistent, auditable execution with built-in monitoring and guardrails
Free up senior staff from repetitive work to focus on strategic initiatives

What's included

Agent design and architecture using Microsoft Agent Framework
Custom agent development with Microsoft Foundry capabilities
Enterprise data connectors (SharePoint, Dynamics 365, SQL, REST APIs)
Agent monitoring dashboard with performance analytics and audit trails
Handoff documentation, team training, and ongoing support plan

Explore example use cases

Customer support agent that triages tickets, drafts responses, and escalates intelligently
Finance agent that processes invoices, categorizes expenses, and flags anomalies
HR onboarding agent that coordinates across systems to provision accounts and assign tasks
Reporting agent that pulls data from multiple sources and generates executive summaries
Contract review agent that extracts key clauses and surfaces risks

Multi-Agent Workflow Automation

Orchestrate specialized agents into end-to-end business processes

Typical timeline 6–10 weeks

Is this for your team?

Enterprise and mid-market leaders who need to automate complex, multi-step business processes that span departments, systems, and decision points.

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What changes for your business

Automate end-to-end business processes that previously required multiple teams and handoffs
Reduce process cycle times by 70%+ with parallel agent execution
Maintain human-in-the-loop oversight with configurable approval gates
Scale operations without proportional headcount increases

What's included

Process discovery and multi-agent workflow design
Agent orchestration layer using Microsoft Agent Framework
Specialized agent development (each agent handles a specific domain)
Integration with Microsoft 365, Teams, and line-of-business systems
Workflow monitoring, exception handling, and escalation configuration

Explore example use cases

Order-to-cash automation: sales agent → credit check agent → fulfillment agent → invoicing agent
Employee lifecycle management: recruiting agent → onboarding agent → IT provisioning agent
Incident response: detection agent → triage agent → remediation agent → communication agent
Procurement workflow: request agent → vendor evaluation agent → approval agent → PO agent
Compliance review: data collection agent → analysis agent → reporting agent → audit agent

Cloud-Native Enterprise Applications

Containerized, scalable applications built for the Azure cloud

Typical timeline 6–12 weeks

Is this for your team?

CTOs, engineering leads, and IT directors building new enterprise applications or modernizing legacy systems who need production-grade architecture on Azure.

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What changes for your business

Production-ready containerized applications deployed on AKS, ACA, or App Service
Architecture that scales elastically—handle 10x traffic without rework
Lower infrastructure costs through smart container orchestration and auto-scaling
Enterprise-grade security, compliance, and observability from day one

What's included

Architecture design and Azure service selection (AKS vs. ACA vs. App Service)
Containerized microservices development with CI/CD pipelines
Infrastructure as code (Bicep/Terraform) for repeatable deployments
Security review, identity integration (Entra ID), and compliance alignment
Performance testing, monitoring setup (Azure Monitor), and knowledge transfer

Explore example use cases

Multi-tenant SaaS platform with enterprise-grade isolation on AKS
Internal operations portal containerized on Azure Container Apps
Legacy .NET application modernized to cloud-native microservices
API platform with gateway, rate limiting, and partner authentication
Event-driven application with Azure Service Bus and container-based workers

AI-Powered Application Modernization

Embed intelligence into your existing applications and data

Typical timeline 4–8 weeks

Is this for your team?

Product leaders and CTOs who want to infuse AI capabilities—search, recommendations, document intelligence, copilot experiences—into existing or new applications.

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What changes for your business

AI-powered features integrated into your applications using Azure OpenAI and Azure AI Services
RAG pipelines that ground AI responses in your enterprise data
Copilot-style experiences embedded in your internal tools and workflows
Measurable improvement in user productivity and decision-making speed

What's included

AI opportunity assessment and use case prioritization
Azure OpenAI integration with enterprise data grounding (RAG patterns)
Azure AI Search setup for intelligent document and knowledge retrieval
Custom copilot development for domain-specific workflows
Data pipeline architecture for AI-ready data foundations

Explore example use cases

Internal knowledge copilot that answers employee questions from company documentation
Intelligent document processing for contracts, invoices, and compliance documents
AI-powered search across enterprise knowledge bases and SharePoint
Product recommendation engine using customer behavior and catalog data
Automated report generation with natural language insights from business data

Not sure which solution fits?

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