Multidimensional-Multilayer System of Connected Knowledge
Enterprise knowledge is everywhere. But it lives in silos — disconnected, incomplete, always changing. AI without connected knowledge is intelligent, but never accurate.
MSOCK makes enterprise knowledge computationally understandable, so AI can act safely, intelligently, and autonomously — on your estate, not a guess at it.
Every object read against the business, operational, and technical layers it belongs to.
Connections backed by evidence, not inferred from proximity.
The model updates as the estate changes, so it doesn't go stale the day after capture.
For highly regulated financial institutions
Most financial institutions are already building their own agents and AI development lifecycles. MSOCK coexists with that architecture and adds the understanding, accuracy, and control your AI needs to act on your enterprise instead of around it.
AI Agents
Copilots
AIDLC
LLMs
Engineering Tools
Understanding, accuracy, and control— laid over what you've already built.
Connect and organise enterprise knowledge and relationships.
See your enterprise across business, operations, and technology.
Know what a change will affect before you make it.
Build, modernise, change, and run — with enterprise context.
Oversight, approvals, risk, audit, and outcomes on autonomous action.
The truth about your software is scattered across code, schemas, configuration, documents and people's memory. SOCK reads that estate and reconciles it into one connected view, with the evidence behind every link kept in place.
The whole ingested scope, not one repository at a time.
The relationships between things,
not a list of them.
Every claim opens to a file
and a line.
Refreshes after releases, so it follows the software.
Captured Journeys, UI docs, Screen Flows, Click Paths
Call chains, Multi-hop API contracts, Auth, Failures
API contract docs, Endpoints, REST + GraphQL + gRPC
Services, Arch docs, Tech stack, Deployment Config
Database schemas, Tables, Collections, Constraints
Playbooks, Environments, Observability, Error Catalogs
Infra docs, Distribution docs, CI/CD, k8s Helm charts
Seven layers, one capture, one connected view — read from the user's screen down to the operational runbook.
A requirement enters at the top of the estate and its impact travels all the way to the bedrock. That is why what does this change touch and what breaks if it fails have never had an honest answer — most tools only see what sits above the waterline.
D1-D3
Experience & Intent
D4-D7
Governance & Trust
D8-D12
Execution & Connectivity
D13-D17
Infrastructure & Estate
D18-D21
Archaeology & Seams
Product, architecture, security, compliance, data and operations each work from a different picture of the same estate. Context is lost at every hand-off, and a change that looks local at the journey level can cross controls, interfaces and legacy seams underneath it — every local decision looks reasonable, and they still collide at a shared boundary.
It gives each person a view built for the question they're asking, over one connected model. Start from a journey, rule, capability, service, data object, alert or migration seam. Add only the dimensions that matter, then follow any relationship down to the evidence behind it — the source, not a summary of it.
The point isn't twenty-one dimensions on one screen, and 21D isn't a twenty-one-axis picture. Product and engineering stop receiving separate diagrams that must be reconciled later — they're looking at different views of the same objects. The graph is navigation; the evidence sits behind it.
Every change to a live system raises one question: what else does this touch? Most tools answer by tracing every technical connection they can find — treating “connected” as the same thing as “affected.” That habit quietly costs enterprises twice over: real risk gets missed, or every change starts to look enterprise-wide and teams end up testing everything “just in case.”
MSOCK calculates the actual blast radius of a change before a single line of code is written — grounded in how the system truly connects, across customer journeys, processes, policies, services, APIs, events, data, code, and tests.

Most AI coding tools treat every task the same way: a prompt in, code out. But building something new, changing something live, fixing an incident, and retiring old technology are different jobs — each needs different expertise, method, and proof. MSOCK applies one connected, evidence-backed understanding of your systems to four purpose-built engineering machines, so no task starts from zero.
Launch new digital products without reinventing the wheel — reusing the identity, payments, fraud, and data capabilities you already have.
For example — new applications, new modules, new capabilities and features.
See exactly what a regulatory update, pricing change, or feature request will touch — across every affected system — before a single line of code is written.
For example — rolling out a new compliance rule across several applications, with tests and evidence ready to prove it was done safely.
Connect an alert straight to the logs, the recent deployment, the code owner, and a likely fix — cutting investigation time when something breaks.
For example — tracing a recurring payment error back to the exact release and line of code that caused it.
Separate the business logic trapped in an old system from the technology it runs on, then rebuild it on modern architecture — with proof nothing changed for the business.
For example — moving a mainframe workload to the cloud one verified piece at a time, with evidence behaviour hasn't shifted.
RUN supports the people running your systems — it doesn’t process live transactions. Modernise isn’t a one-shot rewrite — it’s a verified, step-by-step migration.
Shared health checks, compliance guardrails, and automatic circuit breakers apply across all four machines. MSOCK is part of the Purple Fabric platform, by
Intellect Design Arena.
The method your organisation already follows — carried with the work, instead of left behind in a document.
Engineering decisions, AI actions, evidence, and approvals scatter across tickets, repositories, pipelines, chats, and meetings. A work tracker can tell you that a task moved. It can't tell you what had to be true for that move to be allowed — and as AI does more of the work, that gap only widens.
It orchestrates people, process, disciplines, knowledge and tools through a governed, auditable lifecycle, making AI-native engineering repeatable and scalable.
Ideation
Product Owner : Guild
PRD + HLD
AI Generates
Inception
Capability Lead : Guild
PRD + Stories + LLDs
AI Decomposes
Construction
Engineer : Security
Code + Tests
AI Implements
Validation
Engineer : QA
Deploy + Certify
AI Pre-flight
Operations
Release Manager : DevOps
Release + Learn
AI Captures Learning
Another status dashboard. It doesn't ask you to replace your trackers, repositories, or pipelines — it carries the method across the tools you already use.
Grounded in evidence • Guided by intelligence • Governed by design.