Customer Advantage | Lio Enterprise AI Operating Model

We believe the future of procurement will not be traditional software. By deploying Lio, you’re essentially deploying a virtual procurement department, tackling end-to-end use cases across operative and strategic procurement, sitting on top of existing systems. For many of our customers this is Ariba, Coupa, and of course the ERP, often SAP or Oracle. It transforms the way requesters, but also suppliers, interact with procurement.

ERP, CRM, cloud, and SaaS were adopted as systems: choose the tool, run the implementation, reach go-live. That model worked because the work stayed inside defined applications and teams.

We believe the future of procurement will not be traditional software. By deploying Lio, you’re essentially deploying a virtual procurement department, tackling end-to-end use cases across operative and strategic procurement, sitting on top of existing systems. For many of our customers this is Ariba, Coupa, and of course the ERP, often SAP or Oracle. It transforms the way requesters, but also suppliers, interact with procurement.

We start from the operative side, and then move towards the strategic. Why? Because the value comes from really doing the thing, end to end. Not one use case that is the fun part of it all, but the dirty work in the setups behind. And all of that is only to allow strategic work to happen, because this is where the money is. It’s not about optimizing FTEs. That’s maybe 1% of the pie. It’s about the 99%: billions of spend that are currently badly managed or hardly managed. In tail spend that nobody sources or negotiates today, we see 8% savings on top in 80% of the cases. These are hard savings. Not tied to FTE, simply because it’s unmanaged spend.

AI changes the shape of adoption. It does not simply coordinate people inside tools — it performs work across functions, systems, policies, and exceptions. There is a start date, but no final go-live.

We start from the operative side, and then move towards the strategic. Why? Because the value comes from really doing the thing, end to end. Not one use case that is the fun part of it all, but the dirty work in the setups behind. And all of that is only to allow strategic work to happen, because this is where the money is. It’s not about optimizing FTEs. That’s maybe 1% of the pie. It’s about the 99%: billions of spend that are currently badly managed or hardly managed. In tail spend that nobody sources or negotiates today, we see 8% savings on top in 80% of the cases. These are hard savings. Not tied to FTE, simply because it’s unmanaged spend.

Most enterprises still treat AI like any other software rollout. That is wrong. They overestimate model capability and underestimate how important it is to have people who know what they’re doing. We don’t take implementation lightly, and we don’t promise one week and you’re ready to go. It’s the opposite. Around 100 forward deployed engineers, full stack software engineers, go on site to our customers. They sit next to the SAP admin, the Ariba admin, or the process team that defines the SOPs, and work backwards from a go-live.

Most enterprises are still treating AI as another software rollout. The companies that pull ahead will redesign how work gets assigned, supervised, measured, and improved when agents become part of the workforce.

Most enterprises still treat AI like any other software rollout. That is wrong. They overestimate model capability and underestimate how important it is to have people who know what they’re doing. We don’t take implementation lightly, and we don’t promise one week and you’re ready to go. It’s the opposite. Around 100 forward deployed engineers, full stack software engineers, go on site to our customers. They sit next to the SAP admin, the Ariba admin, or the process team that defines the SOPs, and work backwards from a go-live.

Everyone can automate what you’re doing. So don’t look for a vendor. Look for a partner who says: wait a minute, why are you doing it like this? The last five times we did it, we did it this way. After 175+ enterprise deployments, that is the advantage our customers share.

That shift requires more than a model and a backlog of use cases. It requires five operating principles that make agentic work safe, scalable, and valuable from the first deployment.

175+ enterprises. One shared advantage.

The Future of Procurement

The next enterprise operating model

The next enterprise operating model

Patterns from 175+ enterprise deployments

Agents trained on real procurement edge cases

Deployment motion, ready on day one

Benchmarks no single company can build alone

Agentic procurement infrastructure

Build the operating model for agentic procurement.