VisionVolve· Operate
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VisionVolve — Internal

Greenfield install · GroupWide
Greenfield
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Benefit Dependency Networks

Cranfield / Leeds BDN — wire drivers and investment objectives through measurable benefits, capabilities, the business and enabling changes they require, and the IS/IT enablers they sit on. One diagram per strategic theme or outcome chain.

+ New BDN
Orbit — AI adoption as a benefits dependency networkAI adoption as a Cranfield benefits dependency network; each delivery benefit carries the Orbit metric that measures it + its trust level.Open editor →
IS/IT ENABLERS ENABLING CHANGES BUSINESS CHANGES BUSINESS BENEFITS INVESTMENT OBJECTIVES DRIVERS Claude Code GitHub Copilot Provision licences & access + % engineers with access Enablement, training & usage norms + Training completion % + Usage-norm adherence AI-assisted code drafting + % PRs AI-assisted + Suggestion acceptance % AI-assisted code review + % reviews AI-assisted AI-assisted test generation + % tests AI-generated + Coverage delta Faster delivery -25 % cycle by Q+2 1 · Lead Time 2 · PR Cycle Time 8 · Review-time dist. Flow efficiency — gap Higher, predictable throughput 15 % by Q+2 6 · Velocity (SP/mo) 4 · Sprint Delivery Throughput count — gap More frequent, reliable delivery 3 · Deploy freq + success 11 · MTTR Change-failure-rate — gap Capacity freed for higher-value work 5 · AI Adoption % 9 · Work Mix 12 · On-roadmap % 10 · Contractor mix Capability / skill erosion 7 · Bus Factor Review depth — gap ⚠ DIS-BENEFIT Security / IP exposure AI-code review coverage — gap ⚠ DIS-BENEFIT Faster time-to-market Lower cost-to-deliver Reallocate capacity to higher-value work Competitive pressure to ship faster Margin / efficiency pressure AI disruption — adopt or fall behind enables establishes delivers targets prompts depends Orbit — AI adoption as a benefits dependency network
VisionVolve → AI-Native: Missing Critical Capabilities (BDN)Cranfield BDN of the capabilities VisionVolve must build to become an AI-Native Strategic Consulting firm. Synthesized 2026-07-13 from a 5-agent suite investigation (4 VSM-cluster repo audits + a 19-capability target model). Nodes carry real status: realized / in-progress / planned / at-risk.Open editor →
IS/IT ENABLERS ENABLING CHANGES BUSINESS CHANGES BUSINESS CAPABILITIES BUSINESS BENEFITS INVESTMENT OBJECTIVES DRIVERS signal/1.0 schema (vv-standards) 1 engagement-graph export schema 2 operate 4-lens reasoning substrate 3 IAM JWT + action-level authz 4 backlog portfolio API + depends_on 5 catalog slug registry + verify_surfaces 6 design-system token package/API 7 airtime on-device capture pipeline 8 visionvolve-news KG + causal extractor 9 agent fleet (skills / plugins / Claude Code) 10 Define & ship the signal contract 11 Auto-structure ambient/news → signals 12 Promote backlog → capacity-aware portfolio 13 Instantiate a minimal engagement entity 14 Extract shared method/render engine (operate↔AITP) 15 Ship engagement-graph export + brief generator 16 Runtime brand-emission package 17 Encrypt client data + consent/retention 18 Version methodology IP off-laptop (git) 19 Wire event bus → algedonic alerts 20 Sensing feeds reasoning automatically 21 Deliverables regenerate from live data 22 Firm sequences work against capacity 23 Every engagement enriches the canon 24 Humans ratify; agents produce 25 Agentic analysis orchestration (keystone) 26 Unified multi-lens reasoning substrate 27 Automated sensing → reasoning 28 Living brand-grade generative deliverables 29 Firm self-management (portfolio/capacity/algedonic) 30 Compounding methodology + evidence asset 31 Governed IP / provenance / consent 32 Requisite variety at 2-person scale analytical throughput vs 20-person practice discovery→artifact cycle time Compounding knowledge moat marginal cost per engagement canon reuse rate Strategy-as-subscription (living deliverables) deliverable refresh latency recurring revenue % Trustworthy AI output at volume provenance coverage self-audit pass rate Predictable multi-engagement delivery on-time client commitments WIP vs capacity Un-governed agentic volume → liability ⚠ DIS-BENEFIT Become an AI-Native Strategic Consulting Firm 33 AI commoditizes analysis — clients expect AI-native advisors EU AI Act / regulatory clock 2-person scale vs market variety (requisite variety) Incumbents cannot offer living/subscription strategy 1 Keystone gap: 1 of 5 binding contracts (signal) is unbuilt — the sense→reason seam. The finding across all clusters: the missing capability is the SEAMS between tools, not more tools. 2 S3 self-management is not a new organ to grow: promote backlog to a capacity-aware portfolio (absorb the CA registry) + wire the existing event bus to humans. Parts on the shelf; assembly is the gap. enables establishes delivers requires targets prompts depends VisionVolve → AI-Native: Missing Critical Capabilities (BDN)