Advanced Analytica Advanced Analytica: iBOM
Developers

Quickstart

Use iBOM® as a policy layer between brand intent and execution. Model the brand as structured schemas (meaning, terminology, tone, accessibility, approvals), then encode those expectations as checks that run in CI before changes ship. Once that’s stable, expose the same policy to runtime workflows via MCP for consistent enforcement across tools.

1. Define semantic schemas

{
  "brand": "Advanced Analytica",
  "principles": ["Code", "Accessible", "Structured"],
  "policy": {
    "voice": "systems-first",
    "approvals": ["brand-governance"]
  }
}

2. Encode control policies

{
  "rules": [
    { "id": "tone.systems", "enforce": true },
    { "id": "accessibility.altText", "enforce": true }
  ]
}

3. Deploy through MCP

Expose your checks as an MCP tool so any agent or workflow can ask for validation before publishing, shipping, or approving changes.

// server.ts (minimal MCP "validate" tool)
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

// Replace these with your real iBOM loader + rules engine.
const loadPolicy = async () => ({ rules: ["tone.systems", "accessibility.altText"] });
const validate = async (text: string, policy: { rules: string[] }) => ({
  ok: true,
  policy: policy.rules,
  notes: ["Example: wire this to your real checks"],
});

const server = new Server(
  { name: "iBOM-policy", version: "0.1.0" },
  { capabilities: { tools: {} } }
);

server.tool(
  "iBOM.validate",
  { text: z.string() },
  async ({ text }) => validate(text, await loadPolicy())
);

await server.connect(new StdioServerTransport());
Next step

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Advanced Analytica

To succeed in a data-driven environment, organisations need more than traditional approaches. They need solutions that connect decision makers with the right information, expert judgement, and operational control when it matters most.

Advanced Analytica works with organisations to protect and capitalise on AI and data, manage risk, improve transparency, control cost, and strengthen performance. Drawing on enterprise-level expertise and more than two decades of data management experience, we turn data, AI, and organisational knowledge into governed strategic assets.