Case Studies

Representative engagements across healthcare, retail, enterprise IT, and startup product engineering. Details are anonymized to protect client confidentiality.

Healthcare

Contact center modernization on Genesys Cloud

Genesys CloudArchitect / FlowsAWSTerraformPython

The challenge

A large healthcare organization was running member and provider service lines on an aging on-premises platform. Outages were frequent, changes took weeks, and reporting lived in spreadsheets.

What we did

We designed the target Genesys Cloud architecture, rebuilt routing and IVR flows, integrated CRM screen pop and workforce management, and migrated queues in phased waves with parallel-run safety nets. Infrastructure and flow deployments were automated end to end.

The outcome

The migration completed with zero disruption to daily operations, and the client's own admins now ship routing changes the same day they're requested.

30%
lower telephony cost
Same-day
routing changes, down from weeks
0
missed SLAs during cutover
Retail

AI self-service on Amazon Connect

Amazon ConnectAmazon LexBedrockLambdaDynamoDB

The challenge

A national retailer's agents were spending most of their day on order status, returns, and store-hours questions, while genuinely complex calls sat in queue.

What we did

We built conversational self-service on Amazon Connect with Lex and Bedrock, grounded in the retailer's order and policy systems, with clean handoff to agents including full conversation context. Containment, sentiment, and fallback rates were instrumented from day one.

The outcome

Routine contacts now resolve without an agent, queues cleared, and the same team handles seasonal peaks without surge staffing.

40%
of routine calls automated
2 min
shorter average wait at peak
24/7
self-service coverage
Enterprise IT

Kubernetes platform migration on Azure

Azure AKSDockerGitHub ActionsTerraformDatadog

The challenge

Dozens of internal applications ran on hand-managed Windows servers. Deployments were manual, environments drifted, and every release carried risk.

What we did

We containerized the application estate, built a hardened AKS platform with GitOps pipelines, standardized build and release conventions across teams, and wired in centralized logging, metrics, and alerting.

The outcome

Releases moved from scheduled weekend events to routine weekday deploys, and the platform team retired an entire fleet of legacy servers.

4x
faster release cycles
25%
lower infrastructure cost
100%
of deploys automated via GitOps
SaaS Startup

Taking Adunifyr from zero to launch

ReactNode.jsGenAIAWSZoho Mail

The challenge

Adunifyr, a GenAI-powered SaaS startup, partnered with Kase Cloud as its engineering team to take the product from concept to launch, without hiring a full in-house department on day one.

What we did

We built Adunifyr's full-stack platform on a React, Node.js, and GenAI stack, deployed the public site with a live waitlist, stood up production email infrastructure with SPF and DKIM authentication, and supported API partnership onboarding with major social platforms.

The outcome

Adunifyr is live at adunifyr.com and growing its waitlist ahead of launch. The product itself stays under wraps until then, and Kase Cloud continues as Adunifyr's engineering partner through launch and beyond.

Live
public site and waitlist deployed
Full-stack
React, Node.js, and GenAI delivery
Launch-ready
brand, email, and API infrastructure

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