Boards don’t approve automation because it sounds good. They support it when value is measurable, risk is controlled, and evidence exists to prove what happened. BBBD builds ROI measurement and assurance into delivery — so results remain visible, defensible and scalable.
Streamline outcomes across your organisation — without requiring a disruptive system overhaul.
Why many automation programmes lose credibility
Automation success often becomes invisible over time. Teams move on, processes change, and the original business case is no longer measured. When exceptions rise and ownership is unclear, the narrative shifts from “value delivered” to “cost to maintain”.
Value not linked to operations
Benefits are estimated once, then never measured as the process reality changes.
Exceptions not visible
Failures are handled manually, hiding risk and creating silent cost.
Evidence is incomplete
When audit or assurance questions arise, logs and decision history are missing or fragmented.
AI risk isn’t governed
Uncontrolled AI creates inconsistent answers and undermines trust in the wider programme.
BBBD measures both value and assurance
BBBD’s approach treats ROI and assurance as two sides of the same discipline. If value cannot be evidenced, it is fragile. If assurance is not designed-in, scale creates risk. Our delivery model measures both.
ROI measurement
- Volume processed and cycle time improvements
- Effort saved (hours, FTE-equivalent capacity release)
- Error reduction and rework avoidance
- Throughput stability and peak-load resilience
Assurance measurement
- Identity and access compliance
- Traceability: event logs and decision logs
- Exception patterns and escalation evidence
- AI response mode usage and confidence thresholds
WorkHub 360: the control centre for ROI and assurance
WorkHub 360 provides unified visibility across your automation and governed AI estate — including identity, logging, boundaries, metrics and assurance. It is designed so leaders can answer board questions with evidence, not confidence statements.
- Identity — least privilege for people, service accounts and digital workers.
- Logging — event history, decision history and evidence retention.
- Boundaries — what automation and AI can do, and when humans must approve.
- Metrics — throughput, success, exceptions, cycle time and value.
- Assurance — board-ready reporting and audit defensibility.
This is how value remains visible and risk remains controlled as the automation estate grows.
Assurance includes AI guardrails
AI must be governed to remain board-safe. BBBD deploys AI through managed knowledge bases and confidence thresholds — selecting fixed, hybrid or generated responses intentionally based on risk and certainty.
The Four Fundamentals
- Validated Knowledge — content must be correct and current.
- Targeted Accessibility — different audiences receive appropriate knowledge.
- Continuous Update — knowledge evolves without rebuilds.
- Confidence-Based Response — response mode selected by risk and certainty.
How leaders start with credibility
The Process Design Sprint defines what will be measured and what “assurance” must look like — before automation is scaled. This is how leaders create a defensible, board-ready transformation narrative from day one.
- Agree value measures (volume, cycle time, effort saved, error reduction)
- Define evidence capture (logs, decisions, exceptions, approvals)
- Set governance boundaries and escalation points
- Produce a roadmap aligned to risk appetite and outcome integrity
Make ROI visible. Make assurance defensible.
If you want automation and AI that remain credible at the Board table, BBBD can help you build a measured, governed IPA capability that scales with integrity.
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