What's the Difference Between AI Advice and AI Implementation?
AI advice delivers a report or strategy on paper. AI implementation delivers a working workflow your team actually uses. Orellis always starts with advice — the audit — and only builds once you know exactly what you're buying.
The distinction sounds obvious until you're the one holding the report with no one to build it.
The difference in practice
| AI advice | AI implementation | |
|---|---|---|
| What you get | A report, a strategy, a list of recommendations on paper | A working workflow, tested and handed over as a runbook |
| Who executes it | You, with the recommendations in hand | We build it; your team uses it and keeps control |
| Tangible output | A PDF or a deck | A running system plus documentation: how to start it, how to stop it |
| Where it ends | At delivery of the report | At handover, with a human review step that never goes away |
Why some advisory engagements stop there
Many advisory engagements deliberately stop at the report. That's a legitimate business model: a strategy firm gets paid to analyze, not to build. The problem only shows up afterward, when the SME owner is left holding the report and has to go find someone to actually build it, often without the internal capacity to judge whether the recommendations are even feasible.
Orellis is set up to deliver both steps: the audit maps the opportunity, the pilot builds it. Firms that only advise are making a valid choice; Orellis simply chooses to build further than the report.
How Orellis approaches this
The audit is the advice step: a 30-minute call, three opportunities ranked by impact, and a boundary between where AI fits and where it doesn't. That report stands on its own. If you decide implementation is the next step, the audit has already sharpened the scope: which workflow, which data, which review step stays with your team.
The pilot is the implementation step: one workflow built, tested, and handed over as a runbook, with a human review step that doesn't disappear and an audit trail of every prompt and output. That engagement only follows the audit, and only if the audit identified an opportunity worth building.
What's the difference between AI advice and AI implementation?
AI advice delivers a report, a strategy, or a list of recommendations on paper. AI implementation delivers a working workflow your team actually uses, tested and handed over as a runbook. Orellis always starts with advice and only builds once scope and price are settled.
Can I get advice only, without you also building it?
Yes. The audit stands on its own. You're not paying for implementation; you receive a written assessment of three opportunities and decide yourself what to do with it, with us or elsewhere.
What if the audit concludes AI isn't the right fit?
Then that's what the report says. We have no stake in a pilot that doesn't work: less work for us means no recommendation for something that doesn't actually save time.
Why not go straight to implementation?
Because then you're paying for a workflow before anyone has established whether the opportunity exists and how large it is. The audit costs less, sets the scope for any pilot, and tells you what you're buying before the bigger number is on the table.
How much does the step from advice to implementation cost?
The audit is free while launch slots last, normally EUR 500-1,500. A pilot costs EUR 3,500-7,500 depending on scope, set during the audit itself. See what an AI audit costs for the full breakdown.
What this page can't answer
Whether implementation is the right next step for your specific workflow depends on your data, your processes, and your team. The audit determines that; this page only describes the distinction between the two services.
We check everything before it ships. This page was drafted with our own AI stack and reviewed by a human before it went live. That same review discipline is the core of what we sell.
Want to know if the launch audit is still available?
Tell us in one sentence what the time-consuming repeat task is in your workflow. We'll take a no-obligation look at whether there's an opportunity, without access to your systems or data.
Tell us how your workflow runs or check the cost first