Case Studies

The following case studies show the Extension Framework in action across two production applications. Their purpose is to make one point concrete: the framework is domain-agnostic. The resource model, the ticketing system, the skill-driven execution engine, the RBAC, and the cost management system are all shared infrastructure. What differs between applications is only the policy model — the resource taxonomy — and the skills that encode each domain's operational logic.

The two applications covered here could not be more different. One automates cloud infrastructure: VPCs, Kubernetes clusters, IAM roles, and workloads. The other automates sales demand generation: prospect cohorts, ICP qualification, and outreach sequencing. Both were built on the same CaaS platform, using identical framework mechanics. A team that understands how one application works can read the other and recognize every pattern immediately.

The Pattern

The table below maps the same conceptual framework elements across both domains. Every column is the same object — only the domain-specific label and content change.

Concept	DevOps	SalesOps
Resource	Network	Account
Spec	Region, CIDR, AZs	Company name, website
Skill	CloudFormation template	ICP qualification criteria
Provider / Scope	AWS credentials	Apollo API
Result	VPC ID, subnets, SGs	Signal verdicts, leads
Status	Provisioning → Ready	Processing → Complete
Cost tracking	Per resource	Per account ($0.636 example)
Dependency	Cluster needs Network	Engagement needs Qualification
Troubleshooting	Track Status → Ticket	Track Status → Ticket

Two completely different operational domains, one framework, one platform. See the AI-Native DevOps Platform case study for a detailed walkthrough of cloud infrastructure automation, and the AI-Powered SalesOps case study for demand generation.