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AI-Ready Cost Base

Your spend base is too big to see clearly.

A single mine can carry $100–500M in spend, spread across 400–800+ suppliers, with a handful of major contracts and a very long tail. Your ERP has part of the picture: sometimes just invoice totals, sometimes every line item with no way to group them. Other crucial information like contract terms, usage data and supplier proposals usually lives somewhere else entirely, scattered across systems and formats that were never built to talk to each other — a spreadsheet, a PDF, someone's inbox.

Gartner predicts 60% of AI projects will be abandoned by 2026 due to a lack of AI-ready data. Not bad models. Bad data.

— Gartner, 2025

Talk to Us About Your Data

What not knowing costs you

Outdone at the Table

Without full visibility, a company can walk into major negotiations under-prepared. Often it is just 'one of dozens' of contracts for the procurement team to negotiate, but it's 'one of very few' offers for the supplier. The supplier usually comes better prepared, with a playbook to overcome any objections and challenges in its favour.

Price Creep, Quietly Compounding

Buyers often end up agreeing to price increases on existing contracts that are too high. Left unscrutinised, that becomes a silent profitability killer for the business over time. Without clear visibility into pricing, inflation and cost drivers, it's nearly impossible to catch in time.

Per year
$2–4M
in price creep, from just 1–2% left unchecked on a $200M spend base
Compounded, 3–4 years
$10M+
once that same price creep is left to compound, year after year

Why most teams don't have AI-ready spend data?

Not for lack of will. It's capacity (your best people are already busy) and incentive (keeping cost in check is the CFO's job, not necessarily everyone else's). At the same time, you may simply not have people with the right skill set to do this well. This is exactly where Alpha SPG closes the gap.

We organise the data AI can actually work with.

Getting AI-ready is real work, and most of it has nothing to do with AI itself. It takes a specific blend of skills to sift through your data and organise it properly — which is exactly what we bring.

Financial & Accounting

To extract and interpret the numbers correctly.

Legal

To work through contracts and pricing terms.

Technology

To know what data AI actually needs to work well.

Operational

To give real-world context to both the numbers and the text around them.

We shape your data and deliver the analysis that follows, so you have answers without having to build a data team first. That includes all the legwork: interviewing the people across your business who hold context AI can't get from the numbers alone, the kind of detail on specific categories and suppliers that never made it into any system. That's often exactly what's missing for AI to reach nuanced, realistic conclusions instead of generic ones.

What you walk away with

Staying on top of your cost base stops being a quarterly scramble and becomes routine. You walk into every negotiation and contract renewal better prepared, catch price creep before it compounds, and save real money for the business every year.

What AI will actually change

Speed

A single relatively complex supplier takes a cost analyst a whole week to unpack properly. With clean data, AI will do the same analysis in under 30 minutes.

Consistency

The same high-quality analysis will be at your fingertips — not whichever quality this month's analyst has bandwidth for. You can also pre-configure your AI system to run a standardised set of analyses on each supplier of interest, producing the same predetermined, high-quality set of analytical reports every time.

Flexibility

You'll be able to ask a follow-up question and get an answer immediately, instead of waiting for next week's update.

Getting there takes five things

Unlocking this is closer than it might feel. Usually, all that's missing is a handful of relatively minor enablers.

01
Centralised storage
One place AI can access, that you probably already pay for.
02
Base data access
Your ERP data, pulled in as much detail as it allows.
03
Data enrichment
PDFs converted into readable text, spend properly categorised, and usage data pulled in from wherever it actually lives.
04
Data creation
The context that was never digitised, captured from the people who hold it.
05
Data cleaning
Converted into a format the database can ingest and store, with as much inconsistency removed as possible to prevent AI from hallucinating heavily later on.

Let's make your spend data AI-ready.

Talk to Us About Your Data hello@alphaspg.com