The numbers stay deterministic. The work around them gets faster.

Yes, your planning logic stays deterministic and auditable, so the same inputs produce the same results. AI works around that core logic, helping teams build models, create scenarios, draft commentary, and understand results faster. The calculations remain consistent, while AI supports the work around them.

Often, the biggest time savings are not where you might expect. Teams can spend hours building and maintaining models, writing variance commentary, and answering the same questions in different ways. We first look at where the time is actually going, then decide where AI can help. Sometimes, a simpler process change can make a bigger difference.

Because most pilots skip the parts that make a planning process real: approvals, audit trails, and someone accountable for the number. A use case that hasn't survived an actual cycle hasn't been tested. We build to that standard from the start rather than demonstrating first and hardening afterwards.

To an extent, yes. AI can only work with the structure and information it has. If hierarchies are inconsistent or model logic isn’t clear, the answers may not be reliable. The model doesn’t need to be perfect, but it does need a solid foundation. In many cases, getting that foundation right is where the work begins.

It depends on the capability, and things move quickly. We’ll be clear about what’s available today, what’s still in preview, and what’s been announced. We only recommend solutions based on capabilities you can actually use.

AI capabilities operate within the Anaplan platform under its existing security and governance model, so your planning data stays where it already sits. Where a specific capability has different data handling, that's a question worth asking before you enable it, and we'll raise it rather than wait to be asked.

Usually, reporting and commentary are the best places to start. They involve a lot of repetitive work; the output is easy to review, and the time saved is easier to measure. That makes it simpler to show the value before bringing AI into more complex areas like forecasting.

Not usually. AI capability applied to an existing model is a smaller piece of work than a platform programme, and it's often better attached to something already underway than run as its own initiative competing for attention.

You’ll work directly with our team. Every consultant is an EliteEPM employee, and the partner who scopes your project stays involved through go-live. This keeps the people who understand your project close to the work throughout.