Managed Services ยท Governance

Ongoing AI governance for teams that need human review and proof discipline

Keep AI systems accountable month over month without building a large internal governance bureaucracy.

Overview

The problem

AI systems go live but governance erodes: reviews get skipped, proof stops being recorded, and ownership blurs across IT and operations.

BBI approach

BBI operates a lightweight governance layer: scheduled reviews, Proof Ledger hygiene, and executive-readable operating signals.

Measurable outcome

Sustained human-in-the-loop discipline and evidence trails โ€” sized for SME through enterprise operating teams.

Framework pillars

Review gate operations

Maintain human-review queues, escalation paths, and disposition standards for AI-assisted decisions.

Consistent accountability.

Proof Ledger stewardship

Ensure proof artifacts, build records, and readiness scores stay current and client-safe.

Audit-friendly continuity.

Policy alignment

Map operating rules to workflow reality โ€” without claiming certifications BBI has not earned.

Honest governance posture.

Executive reporting

Periodic operating intelligence summaries: what improved, what stalled, what needs investment.

Leadership visibility without hype.

How BBI works

AssessGovernance baseline
DiagnoseGap & drift review
PrioritizeMonthly focus
ImplementGate & ledger ops
VerifySample audits
Record proofOngoing ledger

Proof & outcomes

What gets measured

Review completion, proof freshness, incident patterns, and workflow health.

Evidence produced

Governance run logs, Proof Ledger snapshots, and client-safe summaries.

Decision improved

Where to tighten gates, retrain, or retire AI-assisted paths.

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 โ€” with evidence, human review, and governed execution.