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
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.
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.
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.
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.
To extract and interpret the numbers correctly.
To work through contracts and pricing terms.
To know what data AI actually needs to work well.
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.
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.
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.
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.
You'll be able to ask a follow-up question and get an answer immediately, instead of waiting for next week's update.
Unlocking this is closer than it might feel. Usually, all that's missing is a handful of relatively minor enablers.