Use case · ERP & CRM
Build implementation scope from business reality.
Big system projects overrun when scope is guessed instead of grounded. Bontology gives you a costed, verified model of how the business actually runs, so your ERP or CRM scope reflects reality before the build begins.
Why big system projects overrun
Scope usually gets written from workshops and best guesses about how the business runs today. When reality turns out to be messier than the assumption, the difference shows up later as a change order.
Fig. 1 · ground the scope
Ground scope in the real operation
Before a single screen gets designed, Bontology captures how the work actually flows today: the activities, the systems they touch, and the manual seams between them. Scope starts from that model, not from a workshop whiteboard.
The current state, not the pitch deck
Interviews with the people doing the work surface the exceptions and workarounds that never make it into a kickoff presentation.
One model, every stakeholder
Sales, operations, and finance answers reconcile into a single view, so scope is not built from whichever team spoke loudest in the room.
Fig. 2 · prioritize by value
Put dollars on the problems
Every issue the model surfaces is priced from hours, incidence, and loaded rate, then rolled up into ranked problems. That lets you prioritize which capabilities the new system needs to solve first, and defer the rest honestly instead of by default.
Unknowns are marked Unpriced, never $0 and never guessed. Exposure figures are the cost of the affected work today, not a savings promise for the new system.
Requirements the integrator can use
Once a problem is ranked and verified, its requirements generate from the model with the business context already attached: which process it belongs to, which systems it touches, and the interview line that justifies it. Your integrator scopes against evidence, not a wish list.
Fig. 3 · before the contract is signed
See the gaps before you sign the statement of work
Low-confidence areas and open questions are flagged and routed to a human review queue while the model is still being built, not discovered mid-implementation. Fewer surprises after signing means fewer change orders.
Nothing reaches the statement of work as a Certified requirement without passing through that queue first. See the full mechanics on how it works.
A model that survives the project
The model does not end at go-live. It updates with deltas as the business changes, so phase two, the next system, or the next audit starts from an already-current picture instead of a rebuild.
Ground your next implementation in how the business actually runs.
A short conversation, then a guided assessment on a scenario like yours.