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Summary: Three representative pilots showing how BVDLC compresses delivery while preserving compliance and measurable outcomes.
Case Study #1 · Food Bank Network
Six-member nonprofit team scaling rapid food distribution during a crisis.
Challenge
- Went from serving 1K → 10K families overnight but intake + scheduling collapsed
- Volunteers ran ad-hoc spreadsheets with zero traceability or compliance trail
BVDLC Approach
- Phase 0 locked on the KPI “meals delivered per day” instead of features shipped
- Phase 1 prototypes explored SMS flows + dispatcher dashboards in three days
- Architecture emphasized auditable flows for donors and regulators
Outcome
- Delivery cycle time shrank from 5 days → 12 hours
- Compliance-ready reports auto-generated from the context folder
- Volunteers onboarded in 15 minutes using handover docs
Artifacts to copy
- Phase 0 template for social-impact KPIs
- Context-folder structure for highly regulated nonprofits
- Playbook for combining SMS + dispatcher consoles
Top KPI
Meals/day delivered
Key Win
Compliance packets auto-generated
Case Study #2 · Youth Mentoring Program
Public sector pilot matching students to mentors with AI-enabled scheduling.
Challenge
- Manual matching limited capacity to ~600 students per semester
- Compliance rules (background checks, parental consent) slowed each release
BVDLC Approach
- Phase 0 defined KPI “students matched within 48h” plus strict policy constraints
- Phase 2 architecture documented every decision as ADRs for auditors
- Phase 4 paired engineers with AI prompts to generate matching logic and forms
Outcome
- Matching capacity doubled (1,200 students) with the same headcount
- Audit package creation dropped from 3 weeks → 3 days
- Stakeholders traced every rule back to context folders
Artifacts to copy
- ADR template referencing policy sections
- Phase 3 acceptance criteria mapping user stories to compliance tests
- Monitoring dashboards focused on equity + turnaround time
Top KPI
Matches within 48 hours
Key Win
Audit approvals in 3 days
Case Study #3 · Enterprise Claims Operations
Fortune 500 claims org modernizing adjuster workflow.
Challenge
- 18-month roadmap with dozens of teams; AI prototypes created shadow systems
- Execs demanded proof that AI reduced cycle time without increasing risk
BVDLC Approach
- Phases 0-1 ran as a 30-day pilot focused on “photo triage”
- Context folder served as the source of truth for architecture + compliance
- Week 3 sprints used AI prompts for code/test generation with human validation
Outcome
- Photo triage live to 10% traffic, then 100% in week 4
- Cycle time dropped 60% and false positives fell via instrumentation
- Sponsors used the results deck template to scale BVDLC to five more teams
Artifacts to copy
- Implementation checklists with AI/human swim lanes
- Deployment runbook covering staged rollouts
- Phase 5 value-tracking worksheet reused by other enterprise teams
Top KPI
Claims cycle time
Key Win
Exec-ready results deck template
Tip: Use these layouts as your own pilot briefs—swap in your metrics but keep the structure so stakeholders get outcome-focused updates.
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