AI Intelligence

AI Business Intelligence & Analytics

We build the reporting layer: one place where sales, marketing and operations numbers agree, with AI explaining what changed and where attention is needed.

The problem this solves

Numbers live in separate tools and separate spreadsheets. Meetings start with arguments about which figure is right.

  • Different teams reporting different numbers
  • Reports rebuilt by hand every month
  • Problems noticed weeks after they started
  • No explanation of why a number moved

What Sentrum builds

A consolidated data and reporting layer with defined metrics, live dashboards and AI-written commentary on what changed.

  • Data consolidation from CRM, sales, marketing and operations tools
  • Agreed metric definitions so one number means one thing
  • Dashboards by role — leadership, sales, operations
  • Anomaly alerts when a metric moves unexpectedly
  • AI commentary explaining movement in plain language
  • Scheduled report delivery to email or messaging

Key capabilities

Data consolidation

Your sources brought into one reporting layer.

Metric definitions

A single agreed definition per number.

Role dashboards

Each team sees what it can act on.

Anomaly alerts

Unusual movement flagged as it happens.

Plain-language summaries

AI explains what changed and why it matters.

Scheduled delivery

Reports arrive written, not assembled.

How it works

Illustrative flow — the exact steps are shaped around your process.

  1. 01Sources connected
  2. 02Data consolidated
  3. 03Metrics defined
  4. 04Dashboards built
  5. 05Anomalies detected
  6. 06Summary written
  7. 07Report delivered

Business use cases

Leadership reporting

One weekly view of the whole business.

Sales performance

Pipeline, conversion and activity in one place.

Marketing attribution

See which sources create real pipeline.

Operations monitoring

Volume, delays and throughput tracked live.

Exception alerts

Know about a drop the day it happens.

Board and investor packs

Recurring packs assembled automatically.

Integrations

Connect your existing CRM, communication tools, business systems and APIs. We confirm the exact integration list for your stack during scoping — we do not assume it.

Implementation process

01

Discovery

We map the process, the systems involved and what a good outcome looks like.

02

Scope & design

We agree the first use case, the rules, the handover points and the measures.

03

Build & integrate

We build the system and connect it to your existing tools in a test environment.

04

Pilot

We run it on real volume with your team watching, and correct what needs correcting.

05

Go live

The workflow runs in production with logging, alerts and reporting in place.

06

Improve

We review real usage, close gaps and extend to the next process.

Explore what we can build

Tell us about the process you want to improve and we will show you how it could work in your business — with the systems you already use.

Frequently asked questions

Workflow Automation

Automate what the reporting reveals.

CRM Automation

Clean data makes reliable reporting.

AI Agents

Where much of the front-line data originates.

Get your AI automation roadmap

A short conversation about your process, and a clear view of what can be automated first.

Local Enterprise Reach

Based in Malad West, Mumbai. We work with teams across the city and India, building AI systems around their existing processes.

Explore AI automation in Mumbai →