ERP workflow mapping
Document how data moves through ERP and adjacent systems for the target workflow.
AI scope matches operational truth.
AI Readiness · Data & ERP
Data and ERP readiness before AI touches production workflows
Know whether your ERP and data layer can support governed AI — before models meet manufacturing or finance workflows.
Overview
The problem
AI pilots fail when ERP fields, master data, workflow ownership, and integration paths are unclear or unreliable.
BBI approach
BBI applies manufacturing systems fluency and data/ERP readiness diagnostics to one workflow at a time — with human review and auditability built in.
Measurable outcome
A readiness picture leaders can act on: fix data, fix process, or defer AI — with proof attached.
Framework pillars
Data quality signals
Identify gaps in completeness, lineage, ownership, and timeliness that would break AI-assisted decisions.
Fewer silent failures in production.
Integration readiness
Assess APIs, batch paths, and human override points required for governed automation.
Realistic implementation paths.
Proof Ledger hooks
Define what evidence must be recorded when AI touches ERP-backed decisions.
Audit-friendly operating records.
How BBI works
AssessWorkflow & ERP scope
DiagnoseData & integration gaps
PrioritizeFix vs. build order
ImplementReadiness remediation
VerifyQuality checks
Record proofReadiness artifacts
Proof & outcomes
What gets measured
Data quality indicators, ERP touchpoints, integration risk, and human-review requirements.
Evidence produced
Readiness checklists, workflow diagrams, and client-safe readiness scores.
Decision improved
Whether to proceed with AI on this workflow, remediate data first, or stop.
Before you book
Questions buyers ask first
What happens when I book a call?
You answer a short form about the workflow, your role, and your timeline. Based on fit, you are offered a discovery call or pointed to self-serve resources, right on the page.
What should I bring to the first conversation?
One workflow, decision, or exception that already costs time or carries risk, and the name of the person who owns it. A full AI strategy is not required.
What if AI does not belong in that workflow?
That is a finding, not a failure. The diagnostic ends in a written go / no-go that names what would have to change before the answer becomes yes.
How is pricing set?
Pricing depends on scope, evidence needs, workflow complexity, and review requirements. BBI does not quote implementation work before understanding the workflow and its risk boundary.
Start with one workflow
Bring one workflow. BBI will help you decide whether AI belongs there — with evidence, human review, and governed execution.