Detailed execution plan for infrastructure build.
Phase-by-phase specifications, vendor selections, resource requirements.
Excerpt from sample execution playbook (Professional services, 3-phase build)
Build Milestones
Vendor: Confluence + custom templates
Verification: 80% of active docs in structured format
Vendor: Jira + workflow automation
Verification: All capture points have validation rules
Vendor: PostgreSQL + schema registry
Verification: Cross-references queryable via SQL
Vendor: Custom REST API layer
Verification: API coverage ≥ 90% of structured data
Vendor: DataOps monitoring suite
Verification: Freshness SLA enforced, alerts on staleness
Vendor: Event bus (Kafka/RabbitMQ)
Verification: Cross-system query returns consistent results
Top Risks
Accessibility build blocked by undocumented legacy APIs
Mitigation: Parallel API audit in Phase 1; fallback to batch sync
Schema migration breaks existing reporting
Mitigation: Shadow schema approach; dual-read period before cutover
Team capacity conflict with BAU workload
Mitigation: Ring-fence 2 FTE; contractor backfill for BAU
Resource Summary
2
FTE (internal)
1
Contractor
10 mo
Total duration
$340K
Total investment
Phase-by-phase build plan with before/after progression
This service follows from Deployment Gap Analysis or Infrastructure Diagnostic. You know WHAT to build (dimensions, levels). This defines HOW to build it.
We specify build work at execution level: which tools, which vendors, which sequence, which team structure. Detailed enough that your team or contractors can execute.
Includes risk mitigation: where builds typically stall, what dependencies get missed, how to de-risk each phase.
Your time
6–8 hours (planning sessions + vendor reviews)
Our turnaround
4–6 weeks
Weeks 1–2
Detailed Specification
Weeks 3–4
Planning + Resource Mapping
Weeks 5–6
Documentation + Handoff
Detailed Build Specifications
Per-dimension requirements, acceptance criteria, success metrics
Vendor Product Selections
Tools and platforms recommended with build/buy rationale
Phase-by-Phase Plan
Sequenced build work with dependencies mapped
Resource Requirements
Team structure, skill requirements, contractor vs. internal
Risk Mitigation Guide
Common failure modes per phase with prevention strategies
Execution Playbook
60–80 page implementation guide, team-ready
Plan is executable. Specifications are testable against build outcomes.
Excerpt from sample execution playbook (Professional services, 3-phase build)
Build Milestones
Vendor: Confluence + custom templates
Verification: 80% of active docs in structured format
Vendor: Jira + workflow automation
Verification: All capture points have validation rules
Vendor: PostgreSQL + schema registry
Verification: Cross-references queryable via SQL
Vendor: Custom REST API layer
Verification: API coverage ≥ 90% of structured data
Vendor: DataOps monitoring suite
Verification: Freshness SLA enforced, alerts on staleness
Vendor: Event bus (Kafka/RabbitMQ)
Verification: Cross-system query returns consistent results
Top Risks
Accessibility build blocked by undocumented legacy APIs
Mitigation: Parallel API audit in Phase 1; fallback to batch sync
Schema migration breaks existing reporting
Mitigation: Shadow schema approach; dual-read period before cutover
Team capacity conflict with BAU workload
Mitigation: Ring-fence 2 FTE; contractor backfill for BAU
Resource Summary
2
FTE (internal)
1
Contractor
10 mo
Total duration
$340K
Total investment
Fixed fee (not percentage-based)
Detailed execution planning work
Range: $40,000 – $100,000
Additional factors that may adjust pricing:
Follows from Deployment Gap Analysis or Infrastructure Diagnostic.