Datamaas Ai

Your organization's data

Sales, financials, supply chain, operations, HR — already lives in a data lake or reporting layer. AI Enabled Analytics sits on top of it and changes one thing: the answer comes back in seconds, in the language you think in, complete with the analysis your team would have spent hours assembling.

How It Works

One governed path, from question to insight

Every question runs against your data foundation through a single, secure pipeline.

Your Data Foundation

Sales • Financials • Supply Chain • Operations • HR

You Ask

Plain-English question

MS Entra ID

Verifies identity

Customer MCP

Translates your question into SQL

Secure Query

Enforces permissions • runs on authorized data

Claude.ai

In-depth analysis & insight

The Customer MCP has no direct path to your data. Every request is mediated by the platform’s stored procedures, which generate read-only SQL based on the user’s entitlements — there is no way to route around it.

The Customer MCP — what makes this different

DataMaaS builds and trains an AI Model Context Protocol for your environment — your data schema, your KPI definitions, your business rules. It translates each question into precise SQL against your data and enforces exactly what each Entra-authenticated user may see before a single row is returned. Generic AI tools know nothing about your business. Your Customer MCP does.

Seeing It in Action

Ask a question.

Get analysis, not just numbers.

Claude answering real questions against your data foundation.
Give me a global sales summary for this month vs plan and last year. Highlight anything I should know about.

Here is your global sales summary through end of October 2026:

Billings (MTD)

$84.2M

↑ 6.4% vs Plan

Bookings (MTD)

$91.7M

↑ 11.2% vs PY

Open Backlog

$312.4M

↓ 3.1% vs Last Mo

FY Forecast

$1.02B

On Track vs Plan

Three things worth your attention:

Europe is running 14% below plan on billings — concentrated in two German customers whose shipments are held in revenue recognition pending contract sign-off. Make sure Finance is tracking this.
Americas bookings had the strongest month in 11 periods, up 23% vs prior year — concentrated in a single large order. Worth confirming whether this is recurring or one-time before reading it into the trend.
Backlog declined modestly month-over-month. Book-to-bill remains healthy at 1.09 — demand being consumed, not lost.

Show me the top 5 customers by bookings this month and how they track against their full-year forecast.

Claude

Top 5 customers by bookings, October 2026:

Customer	Oct Bookings	FY Forecast	YTD Actual	vs Forecast
Raytheon Technologies	$14.2M	$148.0M	$121.4M	+3.2%
BAE Systems	$11.7M	$112.0M	$96.8M	+2.1%
Honeywell Aerospace	$9.4M	$98.5M	$79.3M	−4.8%
General Dynamics	$8.8M	$91.0M	$77.2M	+5.6%
Safran Group	$6.3M	$72.0M	$51.1M	−11.4%

Honeywell and Safran are tracking below forecast. Safran’s gap has widened three months running — worth a conversation before year-end. Want me to pull their order history?

What You Can Ask

From a question to insights — in seconds

Sales intelligence

Billings vs plan, bookings, backlog, and book-to-bill by region, customer, or segment — answered in seconds.

AI forecasts & trends

Build a demand forecast for any customer or segment; surface seasonality, trends, and risks from your own history.

Automated reporting

Monthly reports queried, drafted, routed for review, and published — overnight, on schedule.

Identity + access control

Authenticated via Entra ID, scoped by the Customer MCP — each user sees only what their role permits.

Trained on Your Business

It doesn't guess what your data means — it's taught

A generic AI improvises; the Customer MCP knows your business, so answers are accurate, consistent, and in your own language.

This is why the same question always returns the same trusted answer. A generic AI improvises each time; your Customer MCP knows your business, so the results are consistent and right.

Table knowledge What Your Data Is

Every table is documented with its purpose, what it contains, and which metrics can be calculated from it — so the system knows where billings live and how your KPIs are derived.

Column knowledge In Your Words

Every field is defined in your terms — what a customer segment or product family actually means — with the synonyms your people use, so “client,” “account,” or “company” all map to the right data.

Business knowledge Your Rules & Relationships

Your instructions, definitions, and the relationships your experts provide are built in — including saved specifications that reproduce a dashboard or analysis exactly the same way every time.

The Security Layer

Each user only ever sees what their role permits

Access is enforced at the database — not by trusting the AI. Three layers of entitlement govern every query.

Tables — what you can see

Your role determines which tables exist for you. A finance leader sees everything — sales, finance, operations; a sales rep sees only sales-related tables.

Rows — security filters

Define a filter like “Site” once and it applies automatically. A user scoped to North America sees only US, Canada, Mexico — not the other sites.

Columns — sensitive fields

Fields like Cost and Margin are gated by role. A finance leader sees margin; a sales rep sees top-line only — no cost, no margin.

Excluded data does not exist for that user

When Claude asks what tables and columns are available, anything the user isn’t entitled to is never returned — and is still blocked at execution if queried anyway. Hidden at discovery, enforced at execution.

Role-Based Data Access & Visibility

Finance Leader

Full entitlement

All data — sales, finance, operations
All sites — global view
Top-line sales
Cost and margin

Gets the complete picture across the business.

Sales Rep

Scoped entitlement

Sales-related tables only
North America only (US, CA, MX)
Top-line sales
Cost and margin — hidden

Margin and non-sales data don’t exist for this user.

Read-only, two layers

Query-generating procedures produce read operations only — and the data connection uses a read-only user. Writes are impossible at both layers.

Never used to train AI

Runs inside Claude Teams under Anthropic’s commercial terms — your data is not used to train models and stays within your workspace.

Runs inside your perimeter

The data foundation, platform, and MCP sit behind your firewall. Only the result set for each question is sent to Claude — never the database itself.

Fully audited & SOC 2

Every query, identity, and accessed field is logged. DataMaaS is SOC 2 compliant, with incident-response procedures in place.

Ready to Get Started?

Get the visibility your team needs for better decision-making in less time.

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