Process Continuity Layer
We're Not What You Think
You already have an LMS. You have Slack. You have a task manager. Great. None of them tell you when someone is silently drifting away from a process — or help them come back.
You already have an LMS. You have Slack. You have a task manager. Great. None of them tell you when someone is silently drifting away from a process — or help them come back.
ETBZ is a process continuity layer — it manages drift and recovery on top of the tools you already use.
Every tool measures something. None measure the thing that matters most.
LMS platforms track who watched the video, passed the quiz, or finished the module. But someone can complete 100% of content and still disengage from the process.
Task managers show what's done and what's pending. They don't tell you that someone stopped updating 5 days ago, or that three people are one missed standup away from disengagement.
ETBZ uses AI to track when someone last showed a behavioral signal — any signal. Not what they completed, but whether they're still engaged with the process. Silence is the measurement. Recovery is the response.
The bingo board is the framework. Benefits are defined by you — professional milestones, not just swag.
ETBZ sits on top of the tools you already use
ETBZ doesn't manage your content, your tasks, or your conversations. It adds a structured accountability layer that answers one question: is this person still on track, and if not, what's the right intervention?
Other tools can tell you something is overdue. Only ETBZ defines what drift looks like, when it starts, what level it's at, and gives both the participant and the manager a structured path back.
What ETBZ does that other categories don't
| Capability | LMS | Task Tools | Coaching BetterUp, CoachHub, Mentorloop | CS Platforms Gainsight, Totango, ChurnZero | ETBZ |
|---|---|---|---|---|---|
| Formal Drift detection | ✕ | ✕ | ✕ | Partial | ✔ |
| Canonical Re-plan policy | ✕ | ✕ | ✕ | ✕ | ✔ |
| MVC (Minimum Viable Continuity) | ✕ | ✕ | ✕ | ✕ | ✔ |
| Manual intervention measurement | ✕ | ✕ | ✕ | ✕ | ✔ |
| Recovery paths (Re-entry) | ✕ | ✕ | ✕ | ✕ | ✔ |
Six mechanisms that can't be replicated with a spreadsheet or a Slack reminder
AI-powered detection of silence — days without any Meta-Action. Multi-level thresholds: Early, Significant, Critical. The system learns what drift looks like for each program type.
Not available elsewhereParticipants adjust deadlines within rules. Max 2 per week. Logged, visible, counted. Flexibility without chaos.
Not available elsewhereMinimum Viable Continuity. Grid shrinks to essentials. Stay in the process at reduced capacity instead of disappearing. The manager defines the Critical Path at setup — regulatory and safety tasks are never frozen.
Not available elsewhereStructured path back after absence. Grid expands gradually, missed cells re-planned. No shame. No starting over.
Not available elsewhereBoard adapts. 25 impossible tasks become 8 that matter. Dynamic scope reduction with process integrity.
Not available elsewhereEvery manual touchpoint logged. AI surfaces patterns across programs: which interventions work, where to invest, what to automate next.
Not available elsewhereThe most common objection — and why it's harder than it looks
With AI and low-code tools, any team can build a bingo board with deadlines and notifications. That solves 10% of the problem.
Rules-based system with canonical definitions for drift, recovery, and continuity management. Vertical templates, wizard, cohort comparison, and a framework that improves with every pilot.
Explore fully interactive demos across four use cases — or talk to us about yours.