Handover often hides regressions. Run a 30-day monitoring cadence with daily samples, weekly drift checks and a tested rollback runbook to detect regressions
30-Day Automation Monitoring Checklist That Protects ROI Read More »
You’re paying staff to rekey data. Hire a fixed‑scope automation consultant to remove recurring manual work faster, reduce vendor exposure and cut ongoing
Hire a consultant over an agent platform for automations Read More »
If your team rekeys client data, plan 6–12 weeks for discovery, build, testing and adoption so you realise payroll savings and fewer invoice errors.
Plan 6–12 Weeks to Automate a Single Business Process Read More »
Protect automations if a vendor collapses: require exportable data, runnable artifacts, exercised escrow, and paid transition services so operations continue
Insist on vendor insolvency clauses that keep automations running Read More »
If connectors fail or fees pile up, compare one-off bespoke builds to marketplace connectors. I show costs, timelines and exit trade-offs so you can pick the
Bespoke automation usually costs less than connectors Read More »
Vendor model updates break automations. Require enforceable advance notice, staging with pinned versions, acceptance tests and rollback rights to avoid
Contract terms to stop vendor model changes breaking automations Read More »
Validate an AI automation before go‑live by running scripted failure scenarios, measuring recovery and reconciliation, and stopping rollout until remediation
Run a fire drill for AI automations that reveals risk Read More »
Maya’s billing reconciliations: pick a marketplace app for stable, low-variance work; build custom automation when variability, tight integrations, or
Can marketplace automation apps replace custom automations Read More »
You lose senior adviser time to manual client reviews. Map one review flow, remove double-entry with CRM automations, templates and calendar triggers, and
Automate client-review workflow without replacing your CRM Read More »
Run a 60–90 minute operations-led drill that injects realistic failures, uses masked production-like data and numeric pass/fail thresholds so you can decide
Morning fire drill to prove AI automation resilience in production Read More »
