AI Analytics Services

Turn scattered business data into decision intelligence.

We design analytics platforms, predictive models, dashboards, and governed data pipelines that help leaders see what is happening, why it is happening, and what to do next.

KPI intelligence
Predictive models
Data pipelines
Governed BI

Analytics and decision intelligence stack

Power BI

Power BI

BI

Tableau

Tableau

Dashboards

Snowflake

Snowflake

Warehouse

Databricks

Databricks

Lakehouse

Microsoft Fabric

Microsoft Fabric

Data Platform

Python

Python

Analytics

TensorFlow

TensorFlow

Predictive AI

AWS

AWS

Cloud

Azure

Azure

Cloud

Google Cloud

Google Cloud

Cloud

Data Factory

Data Factory

Pipelines

Kafka

Kafka

Streaming

Healthcare

Patient flow, clinical operations, diagnostics analytics, and resource planning.

Finance

Risk signals, portfolio visibility, fraud patterns, and cash-flow intelligence.

Manufacturing

Quality analytics, OEE, predictive maintenance, and plant performance dashboards.

AI Analytics Agent

Let business users ask data questions instead of waiting for every dashboard.

We build AI analytics chatbots that connect to Power BI, MCP tools, governed datasets, and enterprise sources so users can ask questions, get visual answers, and move from analysis to action. Copilot works like a charm when the semantic layer, tools, and guardrails are designed properly.

01

AI Chatbot for Data Analysis

Ask business questions in plain language and receive KPI answers, charts, explanations, and suggested follow-up questions.

02

Power BI Semantic Model

Connect the chatbot to trusted Power BI datasets, measures, reports, and governed business definitions.

03

MCP Data Connectors

Use MCP-style connectors to securely query warehouses, databases, files, APIs, and BI systems through controlled tools.

04

Claude Reasoning Layer

Use Claude to interpret questions, select the right tools, compare metrics, summarize patterns, and explain drivers.

05

Copilot Studio Orchestration

Design guided topics, actions, approval paths, handoffs, and Teams-ready conversational analytics workflows.

06

Microsoft Copilot Experience

Deliver a familiar Copilot interface where business users can ask, refine, visualize, and act on data.

07

Automated Insight Generation

Generate variance explanations, anomaly alerts, executive summaries, and recommended next questions automatically.

08

Governance and Access Control

Respect Power BI permissions, row-level security, audit logs, source boundaries, and sensitive data rules.

Natural Language Analytics

The analytics layer becomes conversational, governed, and action-ready.

Ask

questions in natural language instead of building every report manually

MCP

controlled tools for querying trusted analytics sources

PBI

Power BI datasets and semantic models become conversational

Copilot

familiar interface for insight, charts, and business action

How It Works

From a business question to a trusted Power BI answer.

The user asks a question. The agent understands intent, routes the request through approved MCP tools, queries Power BI or source systems, reasons with Claude, and returns an answer with context, chart suggestions, and follow-up prompts.

01

Ask the Question

A user asks: "Why did West region margin drop last month?" in Copilot, Teams, or a web chatbot.

02

Route to Tools

The agent selects approved MCP tools, Power BI datasets, SQL sources, and business definitions.

03

Reason with Claude

Claude compares measures, checks context, identifies drivers, and prepares a grounded explanation.

04

Return Insight

The user receives a clear answer with charts, filters, citations, and suggested next questions.

Ask

Show revenue variance by product and explain the top three drivers.

Analyze

Claude selects the Power BI semantic model, applies filters, and compares measures.

Act

Copilot returns a chart, explanation, and next steps for sales, finance, or operations.

Use Cases

AI analytics agents for every team that depends on fast answers.

Healthcare

Patient flow, clinical operations, diagnostics analytics, and resource planning.

Finance

Risk signals, portfolio visibility, fraud patterns, and cash-flow intelligence.

Manufacturing

Quality analytics, OEE, predictive maintenance, and plant performance dashboards.

Retail and FMCG

Demand forecasting, pricing intelligence, customer behavior, and SKU performance.

Education

Learning analytics, cohort performance, research reporting, and institutional insights.

Supply Chain

Inventory movement, supplier performance, delivery efficiency, and exception alerts.

Example Questions

Ask questions directly from Power BI, SQL, Fabric, and business data.

The analytics chatbot becomes a trusted teammate: it can explain KPIs, compare segments, summarize reports, and recommend the next question without exposing data outside approved access paths.

Ask why revenue dropped this week
Compare regional sales by margin
Explain inventory exceptions
Summarize Power BI report pages
Find churn risk by customer segment
Create executive KPI narratives
Query SQL through approved tools
Generate charts from semantic models
Detect anomalies and drivers
Trigger follow-up workflows

Delivery Flow

Our delivery flow for AI-powered conversational analytics.

We keep the process practical: define trusted questions, connect approved data tools, design Copilot conversations, validate answer quality, then launch into daily workflows.

01

Step 1

Question and KPI Discovery

Map the real questions teams ask, the KPIs they trust, the Power BI datasets they use, and the decisions they need to make.

02

Step 2

Semantic and Tool Architecture

Connect Power BI semantic models, SQL sources, files, APIs, and MCP tools with permissions, descriptions, and safe query boundaries.

03

Step 3

Claude and Copilot Design

Design prompts, tool routing, Copilot Studio topics, answer formats, chart generation, and follow-up question behavior.

04

Step 4

Validation and Security

Test answer accuracy, measure definitions, row-level security, source citations, hallucination controls, and escalation rules.

05

Step 5

Launch and Improve

Deploy into Copilot, Teams, portals, or BI workflows, then monitor usage, unresolved questions, feedback, and insight quality.

Conversational Analytics Stack

Power BI

Power BI

Semantic BI

Claude

Claude

Reasoning

Copilot Studio

Copilot Studio

Agent Builder

Microsoft Copilot

Microsoft Copilot

User Interface

MCP

MCP

Tool Access

Microsoft Fabric

Microsoft Fabric

Data Platform

SQL

SQL

Query Layer

Snowflake

Snowflake

Warehouse

Databricks

Databricks

Lakehouse

SharePoint

SharePoint

Documents

Teams

Teams

Channel

Excel

Excel

Business Data

AI Analytics Governance

The chatbot must respect the same controls as your reports: row-level security, approved measures, audit logs, source boundaries, and permission-aware answers.

GDPR
HIPAA
SOC 2
ISO 27001
PCI-DSS
Role-Based Access

Ask Your Data

Want Power BI, Claude, Copilot Studio, and Copilot working together?

Let AIMatica design the MCP-powered analytics agent that lets your team ask questions, get trusted answers, and act faster from the tools they already use.

Connect with a Data Expert