Where Business Meets Artificial Intelligence

Everyone's Talking
About AI.
Few Know How to
Integrate It.

IT knows the technology. Finance, operations, and commercial teams know the business. Rarely do those two worlds truly meet. We've spent 15+ years living in both — and we bridge that gap to turn AI from a buzzword into a real business advantage.

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15+
Years in Business & IT
2×
Worlds: Technology & Commercial
360°
Finance · Ops · Supply Chain · HR · Sales
AI Strategy◆ Power BI◆ Process Automation◆ Semantic Models◆ IT Infrastructure◆ MCP Integration◆ Finance Analytics◆ Supply Chain KPIs◆ AI Strategy◆ Power BI◆ Process Automation◆ Semantic Models◆ IT Infrastructure◆ MCP Integration◆ Finance Analytics◆ Supply Chain KPIs◆

The Gap Nobody Talks About

AI fails at the intersection of technology and business — every time.

01

IT can build it. But can't run it commercially.

Your tech team can deploy a model. But without understanding P&L implications, operational constraints, and what a CFO actually needs — the output lands nowhere.

02

Business knows the need. But not the path.

Finance and ops teams know exactly where the pain is. But translating that into a brief a technical team can actually build — that's a different skill entirely.

03

The result? Expensive pilots. No adoption.

Millions spent on AI tools that never get used. Not because the technology failed — because the integration into real business workflows was never thought through.

04

You need someone who speaks both.

A partner who has sat in the finance meeting and written the code. Who understands the month-end close and the data pipeline behind it. That's rare. That's us.

We bring 15+ years of hands-on experience across commercial operations, finance, IT infrastructure, and data — all under one roof.
15+
Years Experience

What We Do

End-to-end integration — from strategy to execution.

We don't hand you a report and leave. We embed AI and data capability into the way your business actually operates.

01

AI Strategy & Roadmap

We start with your business — not with technology. We map where AI can genuinely move the needle, then build a roadmap your team can actually execute.

02

Process Automation & Integration

From invoice processing to forecasting, we wire in intelligent automation that fits your systems — ERP, CRM, or custom — not the other way around.

03

Business Intelligence & KPI Reporting

Power BI dashboards every department actually uses — built on solid data infrastructure, now evolving with AI-powered semantic models.

04

IT Infrastructure & Data Architecture

A reliable AI capability starts with solid foundations. We design and implement the databases, pipelines, and infrastructure built to scale.

05

AI Semantic Models & MCP

Your team asks questions in plain English. The answers come from your actual numbers — not a hallucination. Powered by semantic layers and Model Context Protocol.

06

Change Management & Adoption

Technology without adoption is waste. We work alongside your teams to ensure the tools we build get used — training and support built into every engagement.

BI & Analytics

Years of KPI reporting experience, across every department.

Power BI isn't just a tool we've used — it's a platform we've shaped strategies around for clients across industries. From first data source to AI-powered semantic models.

Department Key Metrics We Build
Finance P&L, cash flow, variance analysis, budget vs actual, cost centre reporting
Operations Throughput, utilisation, downtime, capacity planning, production KPIs
Supply Chain Inventory turns, supplier performance, demand forecasting, logistics cost
HR & People Headcount, turnover, recruitment funnel, cost per hire, engagement scores
Sales & Revenue Pipeline, win rates, revenue by channel, customer profitability, forecasting
IT & Infrastructure System uptime, ticket resolution, cost per user, cloud spend, SLA tracking
Technology Stack
Power BI SQL Server Azure Microsoft Fabric Dataflows DAX Semantic Models MCP
How BI Has Evolved With Us
Reporting foundations SQL databases, data warehouses, and scheduled reports that replaced Excel chaos across the business. Then
Power BI dashboards Self-service analytics for every department — live, drillable, and built around what each team actually needs to decide. Core capability
Semantic data models A governed, AI-ready layer on top of your data — consistent definitions, business logic built in, ready for the next evolution. Now
AI + MCP integration Natural language queries on live business data. Ask your numbers a question in plain English. Get an answer from your actual source of truth. Next frontier

How We Work

From first conversation to working capability.

1

Understand the Business First

We start with a discovery conversation — not a product demo. We want to understand your operations, where your people are spending time on work that shouldn't need humans, and where decisions are being made without the data to back them up.

2

Diagnose the Data Landscape

Before any AI can work, the data has to be right. We audit your existing infrastructure — what systems you run, where data lives, how clean it is. Most businesses are surprised by what they already have.

3

Design a Practical Roadmap

We prioritise ruthlessly. Quick wins that prove value early. Foundations that enable everything else. A 90-day first sprint with clear direction beyond — not a five-year plan nobody executes.

4

Build, Integrate, and Test

We build in your environment, with your team involved. Every dashboard and AI model is tested against real business scenarios — not synthetic demos — before it goes live.

5

Hand Over and Evolve

The goal is capability that lives inside your organisation, not dependency on us. We document, train, and support. As AI evolves — semantic models, MCP, agent workflows — we help you stay ahead.

What You Gain

Real outcomes. Not demos.

AI That Gets Used

Built around real workflows — not theoretical use cases — so adoption happens naturally.

One Source of Truth

Finance, ops, sales, and HR all working from the same numbers. No more spreadsheet wars.

Hours Returned

Automate the routine. Give your best people time to do the work that actually matters.

Faster Decisions

The right data in front of the right person at the right moment — not days after month-end.

Future-Ready Data

Foundations and semantic models built to grow with AI as the technology evolves.

Mid-market businesses serious about doing AI properly.

You've heard the pitch. You've seen the demos. Now you want someone who can actually deliver — and who understands your business, not just the technology.

  • Manufacturing, distribution, and logistics companies
  • Professional and managed services firms
  • Multi-entity and multi-site operations
  • Finance and ops leaders frustrated by the IT-business divide
  • Businesses with data they're not using and AI they haven't started
  • Teams who've been burned by expensive tech projects that went nowhere
"The reason most AI projects fail isn't the AI. It's the gap between the people who build it and the people who need to use it. We've spent 15 years closing that gap."
AIX Integra — Where Business Meets AI