Week 1 · Scope
We pick one EPM problem worth solving with AI. Not the showiest one — the one with the clearest value if it works. Data access, success criteria, and stop conditions are agreed up front.
Innovation Lab
Prove the AI use case before you fund the roadmap.
A 4–6 week time-boxed engagement on your real Oracle EPM data. We pick one high-value problem, ship a working AI-powered prototype against your actual data, and hand you a clear go/no-go at the end. No theatre, no slideware, no two-quarter discovery phase.
Why a Lab
Buying AI consulting is hard. We made it boring.
Most AI engagements start with a six-figure discovery phase, slide decks full of maturity models, and a pilot that never touches real data. The Innovation Lab is the opposite. Fixed price, fixed timeline, fixed outcome: a working prototype on your real EPM data, and an honest answer about whether to scale it.
How it works
Four weeks. Four phases. One decision.
Week 2 · Build
We build the AI-powered prototype against your real data, in your environment. The senior team does the work. No off-shore handoff, no junior analyst learning on your project.
Week 3 · Test
Your team runs the prototype against the success criteria from week 1. We sit with you. We watch what happens. We document what works and what doesn’t.
Week 4 · Decide
You get a clear go/no-go recommendation, the working prototype, the underlying code and data, and a one-page roadmap if you decide to scale. No upsell, no lock-in.
Is a Lab right for you?
Lab engagements work best when…
You have a real problem
You can name a specific Oracle EPM workflow that costs your team meaningful time, money, or risk every period. You are not exploring AI in the abstract — you have a problem and you suspect AI changes the math.
You can give us real data
A Lab against synthetic data is a demo, not a proof. You need to be able to give us access to representative data — even if it’s a subset, even if it’s anonymised — within the first week.
You want a real answer
A Lab can end with “no, this is not worth scaling” — and that is a successful outcome. If you need a vendor who will tell you what you want to hear, this is the wrong engagement.
You can decide in a month
The whole point is to compress the AI discovery cycle from quarters to weeks. If your organisation cannot make a go/no-go call in four weeks, the Lab is the wrong vehicle and we will tell you so.
Have a problem worth solving?
Tell us the workflow, the pain, and the data you can give us. We will tell you whether a Lab is the right call — and quote you a fixed price if it is.
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