9 Days Wonder
Start a project
Case studies

What successful delivery should look like.

Illustrative engagement stories that show the problem, the system delivered, and the operational change expected.

Illustrative case studiesDelivery models for the problems we are built to own. No named client engagement is implied.
01B2B SaaS · Illustrative

From manual releases to a controlled production path

Situation

A 22-person engineering team relied on inconsistent deployment steps, shared credentials, and limited rollback evidence.

System delivered

Standardized CI/CD, protected environments, infrastructure as code, automated security checks, monitoring, and rollback.

Target outcomes

  • ✓ Release lead time reduced from days to hours
  • ✓ Every production change tied to review evidence
  • ✓ Recovery path tested before launch
02Technology-enabled services · Illustrative

Replacing spreadsheet operations with an AI-ready system

Situation

Customer onboarding, exceptions, and approvals were distributed across spreadsheets, inboxes, and undocumented knowledge.

System delivered

A governed data model, internal application, CRM integration, explicit ownership, and audit-ready approvals.

Target outcomes

  • ✓ One operational source of truth
  • ✓ Clear ownership and escalation paths
  • ✓ Structured data ready for controlled AI use
03AI-native startup · Illustrative

Making agent behavior measurable in production

Situation

The team could not consistently trace agent decisions, compare model versions, or understand failures and token cost.

System delivered

Trace capture, evaluation datasets, versioning, cost dashboards, confidence thresholds, and incident workflows.

Target outcomes

  • ✓ Model regressions visible before release
  • ✓ Cost attributable by workflow
  • ✓ Low-confidence actions routed to humans
Start with the problem, not the stack

Bring us the system
slowing you down.

We will determine whether it needs modernization, platform engineering, observability, or a smaller fix.

Start the assessment