Cloud-native & AI-powered solutions on Azure
From intelligent agents to containerized enterprise applications—every solution is built on the Microsoft Azure ecosystem and scoped around measurable business outcomes.
Solution 01
Intelligent AI Agents
Build agents that reason, connect, and act across your enterprise
Who it's for
Operations, finance, and business leaders at mid-market companies looking to automate complex tasks that require reasoning—not just rule-based workflows.
Typical timeline
4–6 weeks
Outcomes
- 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
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
Solution 02
Multi-Agent Workflow Automation
Orchestrate specialized agents into end-to-end business processes
Who it's for
Enterprise and mid-market leaders who need to automate complex, multi-step business processes that span departments, systems, and decision points.
Typical timeline
6–10 weeks
Outcomes
- 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
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
Not sure which solution fits?
Book a quick consult—we'll help you figure out where to start.
Solution 03
Cloud-Native Enterprise Applications
Containerized, scalable applications built for the Azure cloud
Who it's for
CTOs, engineering leads, and IT directors building new enterprise applications or modernizing legacy systems who need production-grade architecture on Azure.
Typical timeline
6–12 weeks
Outcomes
- 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
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
Solution 04
AI-Powered Application Modernization
Embed intelligence into your existing applications and data
Who it's for
Product leaders and CTOs who want to infuse AI capabilities—search, recommendations, document intelligence, copilot experiences—into existing or new applications.
Typical timeline
4–8 weeks
Outcomes
- 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
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
Ready to build something great?
Book a free 20-minute consult to talk through your challenge. No pitch deck, no pressure—just a conversation about what's possible.