Salesoauth
A continuous CRM-hygiene workspace for small revenue teams that proposes probabilistic duplicates, stale-field repairs, format corrections, and orphan-record actions with evidence, approval thresholds, rollback, and a conversational read layer over the resulting data quality.
A small revenue team knows its customer system is dirty but postpones cleanup because every merge can erase context, reassign activity, break an automation, or collapse two people who only look similar. Salesoauth continuously identifies candidate duplicates and stale records, explains the evidence, applies customer-owned rules, and sends a weekly record of what was proposed, approved, changed, reversed, or left unresolved. High-confidence does not mean silent deletion: merge and archive authority stay explicit, and the assistant-facing interface is read-first so conversational convenience does not become uncontrolled record mutation.
A revenue-operations generalist or founder at a small company using a mainstream CRM, with recurring duplicate, stale, and inconsistent records but no dedicated data-operations team.
A confirmed small SaaS example reportedly reached $3K monthly recurring revenue in nine months from a similarly boring automation job.
A small-team revenue-operations owner has a recognizable recurring data-quality burden and little specialist capacity.
No cross-reference mentions and only one inbound and one direct connection make the convergence evidence notably thin.
The buyer and recurring workflow are clear, there is direct willingness-to-pay evidence for boring CRM automation, and an open probabilistic matching library lowers the implementation barrier. A customer-specific rule history can compound.
The recorded convergence is minimal, incumbents already perform broad CRM cleanup, and the conversational interface is a packaging differentiator rather than a proven moat. External enrichment rights, merge correctness, and deletion reversibility make the apparent simplicity deceptive.
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