Operating context
Map decisions, bottlenecks, and systems that actually drive the business — manufacturing, ERP, finance, and field operations included.
Strategy anchored in how work happens, not vendor demos.
AI Readiness · Strategy
Executive AI strategy grounded in evidence, not hype
Clarify where AI creates operating value, where it creates risk, and what to prove before you build.
Overview
The problem
Teams face pressure to "adopt AI" without a shared map of workflows, data readiness, governance constraints, or proof requirements.
BBI approach
BBI starts with executive operating intelligence: one workflow at a time, tied to ERP and data reality, human review needs, and measurable decision points.
Measurable outcome
A prioritized AI strategy backlog with evidence requirements, governance gates, and proof criteria — not a generic roadmap slide.
Framework pillars
Evidence-first prioritization
Rank use cases by proof burden, data readiness, and human-review requirements before build budget is committed.
Spend follows proof, not enthusiasm.
Governed execution path
Define human-in-the-loop gates, auditability expectations, and Proof Ledger recording for each approved initiative.
Executives get traceability without overclaiming maturity.
ERP + AI alignment
Connect AI initiatives to ERP, data quality, and workflow automation reality — where most enterprise AI fails quietly.
Fewer pilots that die in integration.
How BBI works
AssessScope workflows & stakeholders
DiagnoseData, ERP, risk gaps
PrioritizeProof-weighted backlog
ImplementGoverned pilots only
VerifyTest & observe outcomes
Record proofProof Ledger entries
Proof & outcomes
What gets measured
Workflow fit, data readiness signals, governance gaps, and proof burden per use case.
Evidence produced
Readiness scores, decision records, and client-safe documentation suitable for internal review.
Decision improved
Which AI investments proceed, pause, or stop — with executive clarity.
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.