Our Work

Case studies with practical delivery detail

Real examples of modernization, AI automation, integration, and observability work, written around the problem, the delivery choices, and the measurable outcome.

AI Operations Case Study

Intelligent Incident Response

Enterprise IT

85%

less manual triage time

40%

faster mean time to resolution

1 flow

from alert to service desk summary

An AI-assisted incident workflow that reduced alert noise, summarized operational context, and pushed actionable triage into the service desk.

Challenge

The client was receiving high volumes of alerts from multiple monitoring tools. Engineers spent too much time reading raw logs, comparing metrics, and deciding whether each alert represented a real production issue.

Outcome

Manual triage effort dropped sharply, responders got cleaner incident context, and the team could focus on resolving real issues instead of sorting alert noise.

Stack

Seq, DataDog, .NET, AI Agents

AI Workflow AutomationSystem Integration & APIs
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Modernization Case Study

Legacy Modernization: Monolith to Microservices

Financial Services

60%

lower infrastructure overhead

$1.2M+

estimated annual savings

99.99%

uptime during peak periods

A staged modernization program that moved a critical financial platform away from fragile IIS releases toward containerized services and reliable deployment operations.

Challenge

A decade-old monolithic application ran on bare-metal IIS servers. Deployments required long maintenance windows, scaling was painful, and infrastructure cost kept rising during peak demand.

Outcome

The platform gained zero-downtime deployment capability, better scaling behavior, and a clearer path for incremental replacement of the remaining monolith.

Stack

.NET, Docker, Kubernetes, CI/CD

Software Engineering ModernizationCloud-Native & DevOps
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Observability Case Study

Deep Integration Health Checks

SaaS Platform

0

false healthy reports for covered dependencies

100%

critical dependencies represented

minutes

from failure to alert visibility

A dependency-aware observability layer that replaced shallow uptime checks with real health signals for databases, APIs, queues, and integrations.

Challenge

Existing monitoring checked only whether the landing page returned HTTP 200. Critical API integrations, database connections, and background dependencies could fail while the platform still appeared healthy.

Outcome

Operations gained earlier detection of integration failures and stopped treating shallow status checks as a proxy for real product health.

Stack

.NET Health Checks, Prometheus, Grafana, Polly

Cloud-Native & DevOpsSystem Integration & APIs
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