Accelerator

Enterprise Data AI Reasoning

A reasoning layer that lets business users query enterprise systems and obtain auditable answers without building a data warehouse.

The problem

Enterprise data rarely lives in one place.

Every organisation we speak with faces the same challenge: critical business data locked inside systems that don't talk to each other.

Your data is trapped!

Each system contains valuable information. But when questions span multiple systems, answers become difficult to obtain.

01Report requests bottleneck IT

Your finance team needs a cross-system analysis. IT estimates three weeks. The decision was needed yesterday.

02Data lives in silos

SAP holds logistics data. A legacy ERP tracks inventory. Accounting runs on a custom system built fifteen years ago. Getting a unified view means manual exports and spreadsheet gymnastics.

03A proper data warehouse is a major project

The "right" solution – a fully integrated data platform – takes 12+ months and a six-figure budget. Meanwhile, competitors are already using AI.

04Modern AI tools can't reach your systems

Off-the-shelf platforms connect to Salesforce and Google Sheets, not your bespoke accounting application or decade-old warehouse management system.

The solution

A lighter path to data intelligence.

Enterprise Data AI Reasoning is a layer that sits on top of your existing systems – no rip-and-replace, no year-long implementation.

It works with what you have

SAP, ERPs, custom databases, even Excel files. The system learns your data's structure, understands the relationships between tables, and translates natural-language questions into precise, auditable SQL queries.

Your analysts and accountants ask questions in plain English. They get answers, reports, and dashboards – directly from the source data, styled in your company branding, and shareable as live links that stay up to date.

Imagine asking...

Cost controller →

Are there any procurement transactions from November that haven't been assigned to a cost center?

Show me POs where the cost center doesn't match the WBS element project code

Procurement manager →

Which vendors had the most delivery delays and invoice mismatches in the last 6 months?

Show me vendors where we're using less than 70% of contracted volume, sorted by contract value

How it works

From question to insight in four steps.

An AI-powered solution that connects your existing enterprise systems and lets business users query data in natural language – with full transparency and auditability.

Connect

Data sources: SAP, ERP, custom DBs, Excel files and more.
System extracts metadata: column types, row counts, unique values, min/max ranges, sample data.

Understand

AI analyses schema + business context.
Identifies relationships, primary keys, data characteristics.
Builds a semantic map of your enterprise data.

Ask

User asks a question via Teams, web chat, or integrated app, ie.:

Which invoices have quantity mismatches against goods receipts this quarter?

Deliver

System generates SQL + plain-language reasoning.
User reviews, adjusts if needed ("include March data too")
Output: table, diagram, Excel, dashboard, or live data link for BI.

Preparation phase

Runs once during initial setup, then automatically whenever data sources change in structure or schema. Typically scheduled overnight – no disruption to daily operations.

Interaction phase

This is where users work. Ask questions, review reasoning, refine if needed, get answers. No technical skills required – just natural language.

Transparency & control

You see exactly how the answer was built.

Unlike black-box AI tools, Enterprise Data AI Reasoning shows its working at every step. When you ask a question, the system generates:

A step-by-step explanation
What data sources were used, how tables were joined, what filters were applied, and why.
The actual SQL query behind
Fully auditable, ready for review by your technical team.
Inline annotations
You can add comments like "I need Q1, not just January and February" and the query adjusts automatically.

This means finance teams can trust the numbers.

Auditors can verify the logic. And when something looks wrong, you can see exactly where to investigate.

Output options

Answers in the format you need.

Query results can be delivered as:

Data tables
Raw results for further analysis.
Excel exports
Ready to share or manipulate.
Dashboards
Visual summaries styled in your company branding.
Live data links
Embed in Power BI or other tools, data refreshes automatically.

Every output is shareable via link. Reports stay current because they pull from live data – no more emailing stale spreadsheets.

We offer a hands-on pilot

Give us access to a sample of your data, and we'll build a working proof of concept tailored to your systems and use cases.

No lengthy procurement
No commitment beyond the pilot
Just a practical demonstration of what's possible

Ready to explore?

Our insights

Case studies, articles, and thought leadership from our senior engineering team.

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