Fusion MCP Control Plane

"Control the Agent. Secure the Data. Predict the Cost."

Equitus Financial System Fusion MCP is the enterprise-grade AI control plane designed for banks, insurers, and capital markets. It bridges sovereign data (KGNN semantic graphs, EVS physical video, ICAM identity) with any enterprise LLM via the Model Context Protocol—delivering total cost governance, physical-to-digital context, and strict compliance out of the box.

Equitus Fusion MCP - Architecture bridges Equitus.ai’s intelligent data unification (KGNN, EVS, and ICAM) with the Model Context Protocol (MCP) and Service-as-Software (SaS) delivery models.

Designed specifically for Managed Service Providers (MSPs) and System Integrators (SIs), this framework addresses a major bottleneck in enterprise AI: out-of-control cloud token costs, unpredictable tool integrations, and fragmented regulatory compliance in banking and insurance.

Part 1: Architectural Blueprint — Fusion MCP Control Plane

Fusion MCP Control Plane acts as a secure, sandboxed translator and governance layer between enterprise AI agents (like Claude, custom LLMs, or local models) and Equitus core systems.

Fusion Core Banking Components

1. MCP Wrapper Layer (The "USB-C" for Enterprise Data): Exposes Equitus capabilities (graph traversals, video analytics logs, and identity states) as standardized, lightweight MCP tools and resources. LLMs never talk directly to legacy core databases or raw RTSP video feeds; they talk strictly through localized, validated MCP servers.

2. KGNN Semantic Control Plane: Acts as the truth layer. It automatically maps, cleans, and structures disparate banking transactions, policy documents, and customer logs into a graph schema, preventing AI hallucinations by feeding deterministic semantic context.

3. EVS (Equitus Video Sentinel) for Physical Security: Ingests physical sensor and camera data (vital for brick-and-mortar bank branches and insurance fraud site inspections). EVS indexes video frames locally at the edge, allowing agents to query physical security anomalies via MCP text prompts.

4. ICAM (Identity Control and Access Management): Enforces dynamic, context-aware authorization. An AI agent is only permitted to query customer financial graphs or physical camera metadata if the underlying user session has verified ICAM clearance.

Part 2: High-Value Use Case — "The Omnichannel Fraud & Risk Ops Center"

Target Verticals

• Tier-1 / Tier-2 Banks: Combines digital transaction monitoring with physical branch safety.

• Property & Casualty (P&C) Insurers: Unifies digital claims records with physical site verification (drone/CCTV footage).'=

EQUITUS FINANCIAL SYSTEM FUSION MCP

A high-net-worth commercial insurance claim is filed for a major robbery at a commercial client's insured facility, paired with a simultaneous suspicious multi-wire transfer movement out of their linked corporate banking account.

How Fusion MCP Solves It

1. Unified Context Retrieval: Instead of analysts manually querying core banking ledgers, claims databases, and branch security logs, an autonomous AI investigator triggered via the MCP client queries the Equitus KGNN server.

2. Cross-Domain Verification: KGNN instantly surfaces that the entity filing the claim shares an anomalous digital footprint with a shell company flagged three days prior. Simultaneously, the agent calls the EVS MCP server to review localized video metadata at the branch during the alleged incident window.

3. Deterministic Output: EVS video logs show no forced entry, contradicting the claim. The Fusion MCP server packages these structured graph findings and physical video metadata timestamps into a tamper-proof audit bundle, saving weeks of manual forensic analysis.

Part 3: Business Plan & Go-To-Market (GTM) for MSPs / SIs

1. The Value Proposition for MSPs and SIs

• From Low-Margin Reselling to High-Margin "Service as Software (SaS)": MSPs package Equitus + Fusion MCP as a turnkey vertical appliance. Instead of building custom API connectors for every client stack, SIs use standardized MCP templates that scale across multiple banking/insurance clients.

• Cloud Cost Governance: Enterprises fear runaway LLM token costs. Fusion MCP includes semantic caching and parameter validation templates, cutting redundant LLM queries by up to 60% and guaranteeing predictable margins for MSPs.

• On-Prem / Hybrid Edge Advantage: Leveraging Equitus’s capacity to run efficiently (e.g., on IBM Power or localized hardware infrastructure without heavy GPU dependence), MSPs can pitch secure, air-gapped deployments to risk-averse financial institutions that reject pure public-cloud AI tools.

2. Pricing & Packaging Strategy (SaS Model)

• Tiered Capability-as-a-Service (CaaS):

  • Base Tier (Compliance & Core KGNN): Flat monthly software subscription per 1,000 active policies/accounts managed, including standard MCP compliance templates.

  • Advanced Tier (Omnichannel Cyber-Physical): Includes EVS video stream indexing and automated multi-agent MCP orchestration for fraud and underwriting teams.

• SI Professional Services Margin: SIs capture high-value deployment revenue during the initial 30-day Initial Operational Capability (IOC) setup window, followed by recurring managed governance fees.

3. Implementation Roadmap (30-60-90 Day Plan)

• Days 1–30 (Deploy & Connect): Install Equitus KGNN/EVS on client hybrid/on-prem environments. Bind core banking/insurance data repositories to the semantic layer.

• Days 31–60 (MCP Template Configuration): Deploy the Fusion MCP Control Plane, mapping custom tool calls, rate-limiting tokens, and ICAM security guardrails.

• Days 31–90 (Operations & Optimization): Go-live with pilot underwriting or fraud workflows; activate semantic caching to optimize operational compute and token costs.