OpenMoat maps how work actually moves across roles, tools, approvals, handoffs, time, and training—so organizations can remove structural friction without turning workers into surveillance data.
Bossware starts with suspicion: who appears busy? It rewards performance theater while sending increasingly raw behavioral data up the hierarchy.
OpenMoat starts with a different assumption. Broken processes, incompatible tools, unclear ownership, repeated handoffs, and approval drag are where organizations should look first. We identify those conditions, show the evidence, and help teams decide what to change.
Illustrative process-level output. No worker leaderboard.
Build an organization-wide evidence graph from roles, workflows, approvals, artifacts, recurring obligations, time, billing, communication, and training events.
Surface repeated sequences, relay pressure, ownership gaps, durable strengths, and bounded opportunities at the process and role level—never as a worker leaderboard.
Nobody knows the on-the-ground system better than the workers doing the work. Truly anonymized worker evidence anchors integrated AI claim verification against available operational evidence and bounded solution synthesis for bottlenecks and organizational optimization.
Continuously update the organizational model from de-identified work patterns, confirmed corrections, decisions, and measured outcomes. Repeated variance can trigger a human-reviewed proposal to standardize a workflow or provide training.
End-of-year, client-monthly, campaign-deliverable, and department-evaluation reports are scoped projections over the same organizational evidence—not disconnected dashboards.
Organizations need evidence to remove structural waste. Workers need protection from raw behavioral surveillance. OpenMoat is designed for both.
No keystroke, screen-time, loyalty, engagement, or individual productivity scores.
Findings address processes, roles, scopes, and sufficiently large cohorts—not named-worker rankings.
Affected teams can inspect and correct findings before a workflow standard, training recommendation, or decision is recorded. OpenMoat authorizes no personnel action.
OpenMoat continuously learns from de-identified and aggregated behavioral patterns. Those patterns may recommend workflow standardization or training; they never become an individual performance or disciplinary score.
AUTOMATE FRICTION // NEVER AUTOMATE DISCIPLINE
Describe the organizational friction—not the people. If there is a fit, the next step moves into a governed discovery boundary before any operational evidence is collected.
[BOUNDARY] Do not submit credentials, employee-level behavioral data, personnel records, or protected client content through this public form.