Six stages, a clear owner at each one, and AI used to accelerate the parts that used to take weeks, not to replace the judgment calls that still need a person.
Full inventory of process, data, and integrations before anything is designed.
AI: process miningA solution mapped to your actual workflows, not a generic template.
AI: gap mappingMaster data and history migrated, cleaned rather than just copied.
AI: cleansing & matchingConfiguration and any required customisation, reviewed against the original design.
Testing against real scenarios, not a generic checklist.
Go-live timed around your calendar, with support through the first close.
AI: in-app help agentA full inventory of how the business actually runs today, not how the org chart says it runs.
Every place your process and the system's own default behaviour genuinely differ, written down explicitly.
Master data and history migrated, not just exported and reimported.
Configuration against the signed-off design, with every addition checked against it.
Testing against real transaction scenarios pulled from your business.
Go-live timed around your calendar, with support through the first close.
Each of these covers one specific part of how an engagement actually runs, in detail, rather than a single paragraph on this page trying to cover all of it.
Stage by stage, what genuinely speeds up and what still needs a person.
Decision rights, steering cadence, and how conflicting input actually gets resolved.
How a scope change gets raised, costed, and approved mid-project, without silent creep.
A practical readiness checklist, so you can tell how prepared you actually are.
The real weekly rhythm: status updates, steering meetings, and how issues escalate.
Hypercare specifics, first-close support, and the formal handover to managed support.
The roles behind an engagement, and how much of each is dedicated versus shared.
Why most clients end up with a fraction of the customisation they expected.
Yes, though the depth varies. A rescue engagement spends more time in Diagnose reconciling what already exists.
AI accelerates pattern-matching work: scanning customisations, mapping data gaps, cleansing records, answering routine questions after go-live. Judgment calls stay with a person.
We review what exists rather than redo it, though we will tell you honestly if something looks incomplete.
Every change is logged and priced against the original design before it is approved.
Tell us what you are trying to get done. We will walk you through how this method would apply to your situation.
With someone who has run this before.
Four minutes, no email required.