Our Practice Areas
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We engineer what
off the shelf cannot solve.
We build the connective tissue that makes enterprise technology actually work.
Behind every implementation is an architecture the platform was not designed to handle. Custom connectors, legacy dependencies, cloud infrastructure, AI tooling that needs real data behind it. We build what bridges the gap.
01
Application Modernization
AS400, COBOL, .NET legacy, Oracle Forms. We modernize incrementally. The business keeps running while the architecture changes. Documented business case at each stage before the next begins.
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Custom Development
When no platform covers the requirement, we build the application. Full-stack engineering, QA built into delivery. The team that scopes the build delivers it.
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Cloud & Infrastructure
Azure cloud migration, managed cloud operations, and disaster recovery engineering. Architected for environments where compliance requirements and uptime obligations leave no room for disruption.
Explore More →04
Microsoft Copilot Studio
Copilot works when it connects to the data and systems people actually use. Custom AI agents for Finance, Procurement, HR, Legal, and Operations. Grounded in company data, tracked to operational outcomes.
Explore More →AI in Production
AI that performs past the pilot.
An AI agent is only as good as the environment it runs in. Data quality, integration depth, and production standards determine whether it performs at month twelve the way it did at week six.
Built on your data, not demo data
The integration layer comes before the agent. Connected to your ERP, CRM, and internal systems from day one — not retrofitted after deployment.
Copilot, built past the default
Agents customized to your workflows and data sources. Adoption and ROI tracked from week one.
From mapping to deployed agent in weeks
A scoped Copilot Studio engagement moves from workflow mapping to first deployed agent in four to six weeks.
AI readiness before AI spend
Data quality, integration architecture, and automation baseline assessed before anything is built. If the environment is not ready, we document what it takes to get there.
Technology Depth
Implementation depth across the stack. No preferred vendor.
The technology we recommend is the technology that fits. We carry depth across every major platform below and no margin incentive to push one over another.
Our Engagement Model
We own the outcome, not just the deliverable.
We have built a practice around the principle that delivery accountability does not end at go-live. The four commitments below describe what that looks like in practice.
Client Evidence
Engineering work across industries and problem types.
Custom CCaaS Engineering
Fortune 500 Automaker
Their DR environment was not in sync with production. In a real failover, agents would find wrong skills, missing users, outdated routing. No platform feature addressed it. We engineered a custom synchronization solution — automated, auditable, deployed inside the client's own Azure infrastructure.
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CX Data Integration
UnitedHealth Group
Lightweight middleware bridge: automated sync throughout the day, daily reconciliation for missed records, hosted entirely within UHG's Azure infrastructure.
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AI Agent Development
Qiddiya
Four AI agents integrated into Qiddiya's existing Microsoft 365 environment, cutting vendor evaluation time by 60% and reducing manual procurement tasks by 40%.
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