Browse 23 articles tagged operations across approvals, auditability, plugins, and controlled AI operations.
Governance framework, rollback discipline, stage-gated implementation roadmap, operational risk controls, and KPI design for AI-enabled KYC and reconciliatio...
Read Governance, Rollback, and the Implementation Order That Works for KYC and Reconciliation →AI-enabled case management for KYC and reconciliation exceptions starts with the case record, evidence provenance, and controls. Not model selection.
Read AI Case Management for KYC and Reconciliation Starts With the Case, Not the Model →Compliance audit logging works best when it captures origin, authority, blocked paths, exception handling, and action outcomes inside the operational case re...
Read Audit Logging for Compliance Operations →A customer-facing product update on recent Latch improvements across ticket queues, SLA visibility, ticket filtering, governed API access, and operational ca...
Read What Is New in Latch: April and May 2026 →Case management authorization should support flexible rules, numeric thresholds, and audit-ready evidence on every sensitive action.
Read Authorization Logic Audits for Case Management →A plugin action runs on an external system from inside the case with role checks, governed approvals, and immutable audit logging.
Read What Is a Plugin Action? →The runtime control layer combines built-in intelligence, governed execution, and immutable case audit trails for operational software.
Read The Runtime Control Layer: What This Category of Software Is and Why It Exists →AI increases the value of control-first case platforms that combine governed execution, immutable audit logs, and cross-system integration.
Read AI Raises the Value of Control-First Software →Why operations, compliance, and platform teams need governed execution and audit trails around AI triage recommendations.
Read AI Triage Needs a Control Plane, Not Just Better Prompts →Unified triage turns shared intake into governed case management with clear ownership, queue behavior, and audit trails.
Read Unified Triage Is Not Just a Shared Inbox →Why case records need action, evidence, and auditability, not just storage, to reduce swivel-chair work and keep operations auditable.
Read Case Records Should Be Systems of Action, Not Just Systems of Record →How AI triage should use confidence thresholds, missing context, and deliberate silence to preserve operator trust in high-risk workflows.
Read When AI Triage Should Recommend the Next Step and When It Should Stay Silent →Plugins should start with workflows that need governed approvals, immutable audit logs, and safe external execution in production.
Read The First Three Workflows to Govern with Action Providers →Approval design for high-risk operations should reduce blast radius, preserve evidence, and enforce review without slowing routine work.
Read Approval Design for High-Risk Operations Workflows →Compliance-grade audit logs give operators and auditors timelines, decision evidence, and accountability across every case.
Read Audit Trails That Answer the Real Questions →Hard-edged case status workflows prevent ambiguity, protect operations, and keep reopening paths clean for governed second passes.
Read Why Ticket Status Workflows Need Hard Edges →Brute-force protection should reduce attack risk without blocking legitimate operators, using smart lockouts, rate limits, and audit trails.
Read Brute-Force Protection Is Part of the Operator Experience →AI case routing needs evidence quality, complete context, and workflow readiness beyond a confidence score or routing label.
Read Confidence Scores Are Not Enough for AI Ticket Routing →Move from mailbox triage to governed case handling with one auditable case queue and a practical migration path.
Read How to Move from Mailbox Triage to Governed Case Handling →Queue aging, handoff delay, rework, blocked work, and outcome quality reveal case management health beyond first response time.
Read Queue Health Metrics That Matter More Than First Response Time →Make reprocessing explicit, permissioned, and auditable so teams can retry failed work without tribal knowledge or weak controls.
Read Turn Reprocessing from Tribal Knowledge into a Governed Action →A practical logging guide for external actions, covering request context, approval state, execution results, and evidence retention.
Read What to Log When Operators Trigger External Actions →A safe rollout plan for AI-assisted issue resolution that balances phased adoption, guarded execution, and measurable governance at scale.
Read A Safe Rollout Plan for AI-Assisted Issue Resolution →