Your customer data continues to live in your own systems — your CRM, your data warehouse, your help desk — not in any RankThread-owned database. The automation platform we build on (n8n, Make, or Zapier) acts as a transient router that moves payloads between your systems; it does not retain a persistent copy of your records.

For self-hosted n8n deployments, the automation infrastructure also runs inside your cloud account (AWS, GCP, or Azure), so no third party holds your data at rest. Our engineers receive scoped credentials through your password vault, time-boxed access, and we rotate credentials between engagements.

We do not use your data to train anything. Inference on any AI tooling we use runs through zero-retention enterprise endpoints (Anthropic Claude, OpenAI), which means your prompts and data are never stored, logged, or used to train future models.

Every workflow we build runs through the Zero-Breakage Pipeline Architecture, which includes an error trigger branch on every flow. When a step fails — a token expires, an API rate limit hits, a schema drifts upstream, a downstream service goes down — the failure event reaches your Slack channel inside 60 seconds.

The on-call engineer on our side triages, contains the failure, and either ships a fix or queues the impacted records for replay once the upstream service recovers. You find out about the failure before your customers do, not three days later when your sales team mentions that lead alerts have gone quiet.

Monitoring is continuous, not best-efforted. It is the reason this is a monthly retainer and not a one-off build.

No. Every workflow we build is documented in a stack-agnostic specification — trigger conditions, business logic, field mappings, error handling rules. If you later choose to migrate to a different platform or build the work in-house, the documentation transfers.

The workflows themselves are also exportable. n8n JSON exports, Make scenario blueprints, and Zapier zap exports are yours to keep on day one. We hand them over at the end of the Unified Stack Protocol week, not at the end of the engagement.

The retainer is on the ongoing work, not on the lock-in.

Yes. The migration follows a four-stage process: full Zap inventory and execution-frequency audit, n8n architecture design, parallel-run validation period of three to seven days, and supervised cutover.

Self-hosted n8n typically reduces effective automation cost by 60 to 90 percent for teams running more than 10,000 tasks per month. Actual savings depend on your specific workload, your hosting setup, and whether you want managed n8n cloud or self-hosted infrastructure. We model both before recommending one.

Most clients break even on the migration cost inside the first quarter and save the rest as MRR drag eliminated from their stack budget.

Bi-directional sync is governed by an explicit Source-of-Truth Designation built during the Unified Stack Protocol discovery week. For each customer data field, one of the two systems is named the system of record, and conflict resolution rules cascade from that designation.

Deduplication is handled with deterministic matching on a primary key plus phonetic and probabilistic matching on supporting fields. Lookup-field relationships are preserved across the sync boundary using association sync rules, not best-guess pairing.

Where both systems update the same record inside the same sync window, the SOT designation governs which value wins, and the losing value is logged to the audit trail. Nothing is silently overwritten.