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Workspace files
WorkspaceData package
Real buyer workspace assets for design, diligence, and customer research.
VaultAI includes more than application code. This WorkspaceData layer packages Figma-ready design specs, Notion-ready transaction documents, source-backed customer research, and a public hash manifest that lets acquirers verify the surrounding operating context.
560
Counted lines
6
Buyer personas
5
Source register
Buyer review artifacts
WorkspaceData turns the codebase into a reviewable enterprise asset.
Figma-ready design system
Includes design tokens, a Figma file blueprint, screen specifications, and a board preview that can be recreated inside Figma without exposing source code.
Notion-ready diligence docs
Includes a buyer diligence workspace, customer discovery board, product requirements, demo script, and importable Markdown pages for transaction review.
Customer research matrix
Maps enterprise buyer personas to real market pressures and source-backed customer pain without claiming revenue, pilots, or regulatory certification.
Tamper-evident manifest
Every WorkspaceData file is hashed and rolled into a public master root so buyers can compare public evidence against later NDA-gated review materials.
Import-ready files
Figma, Notion, and research files are packaged for immediate buyer inspection.
Each artifact is hashed in the WorkspaceData manifest. The files are public-facing by design and do not expose credentials or NDA-gated source code.
Workspace root: 81b8c82d14ea9a3a163d16c656f4ab169c728a5dbd2482ca4dba311767d1f0c9
Figma-ready design system
Gives acquirers a ready UI blueprint: tokens, screen specifications, frame map, and design-board preview.
Notion-ready diligence workspace
Gives buyers a clean operating room for diligence, VDR review, discovery planning, and demo execution.
Customer research pack
Maps buyer personas and objections to real market sources without overstating revenue, pilots, or certifications.
Customer research
Buyer personas are tied to real market pressures, not invented testimonials.
The research pack is explicitly labeled as secondary research. It gives buyers a credible path for validating demand without falsely presenting signed pilots or customer revenue.
PersonaTrigger and painConfidence
Bank CIO or CTO
Regional bank or credit union
Core modernization review
Legacy integration risk, undocumented customization, scarce core engineering talent.
Shadow-ledger migration evidence, deterministic controls, API-first review surface.
High
Chief Risk Officer
Regulated financial institution
DORA or resilience board review
Need auditable ICT controls, operational evidence, and incident-response clarity.
Audit logs, resilience test surfaces, evidence API, WORM-style provenance.
High
Head of Payments
Payment processor or BaaS platform
Real-time settlement and reconciliation program
Batch reconciliation, retry ambiguity, dispute triage delays.
Idempotent transaction API, journal entry views, signed webhooks.
Medium
Corporate Development Lead
VDR or M&A workflow platform
AI diligence product expansion
Need defensible source-tied AI outputs for deal teams.
Document intelligence, cited extraction, VDR surfaces, acquisition page.
Medium
Enterprise Architect
System integrator or banking modernization consultancy
Sovereign or air-gapped deployment request
Need portable assets and evidence before entering bank procurement.
Docker, Terraform, Kubernetes, schema assets, DR playbook, Notion handover docs.
Medium
Product GM
Financial software vendor
Build-vs-buy roadmap pressure
Long R&D cycle and expensive senior engineering hiring.
Design system, source manifest, VDR, demo routes, customer research pack.
Medium
Source register
Research citations are visible and auditable.
The source register keeps customer-facing claims grounded in public evidence. It also makes the limitations clear: this pack supports diligence preparation, not a completed bank procurement process.
McKinsey & Company
Core systems strategy for banks
Core banking modernization pressure, integration risk, undocumented customization, and replacement-cost framing.
McKinsey & Company
Core banking in the age of AI: Crafting intelligent financial engines
AI-enabled financial engines, real-time/event-driven processing, zero-trust resilience, and core decision-flow modernization.
Bank for International Settlements
Liquidity Coverage Ratio
Liquidity stress framing and high-quality liquid asset review concepts.
EUR-Lex
Regulation (EU) 2022/2554 on digital operational resilience for the financial sector
ICT risk management, operational resilience, testing, and third-party ICT risk context.
Bank for International Settlements
Guidance on cyber resilience for financial market infrastructures
Cyber resilience, recovery objectives, FMI operational risk, and settlement finality context.