Process audit
Find the manual work eating the most calendar time. Quantify hours, errors, downstream cost.
AI automation that removes real work — sales, ops, finance, support — without the fragility of typical no-code stacks. Serving owners and leadership teams across Ohio.
Most Across Ohio businesses are bleeding hours on manual work — lead intake, follow-up drafting, document handling, reconciliation, support triage, internal reporting. AI automation can take most of it off the calendar when it's designed well.
I map the highest-cost manual processes, build automations that use AI exactly where AI helps (classification, extraction, drafting, decisioning) and deterministic logic where AI doesn't, and wire them into your CRM, email, finance tools, support, and internal data.
Everything ships with monitoring, error handling, and human-in-the-loop checkpoints where the cost of a wrong answer is high. Documented. Owned internally. Reviewed monthly so it doesn't quietly rot.
Operator background, not a deck-only consultant. Every credibility marker below is something I've actually built or run — not theory.
Find the manual work eating the most calendar time. Quantify hours, errors, downstream cost.
Map the target flow. Where AI helps, where deterministic logic is safer, where humans stay in the loop.
Production automations across your stack — CRM, email, finance, support, internal databases.
Run against historical data, measure accuracy, tune until thresholds are met.
Roll out with monitoring, alerting, and a clear owner.
Monthly review of usage, error rates, and savings. Expand what works, kill what doesn't.
Anonymized examples of engagements that fit this scope. Names and identifying details withheld.
Inbound leads going to a shared inbox and dropping. Built an automation that classified intent, enriched the contact, drafted a personalized reply, and scheduled qualified leads directly. Speed-to-response from hours to minutes.
Sales team losing deals to slow follow-up. Built AI-drafted follow-ups triggered by CRM events, queued for rep review, sent on approval. Throughput per rep increased without sacrificing quality.
Hundreds of supplier documents per week. Built an extraction + classification pipeline that pulled fields, validated against rules, and routed exceptions. Eliminated days of manual entry weekly.
Strategy, opportunity mapping, and production AI builds.
Where most automations connect.
Process design upstream of automation.
Custom apps where automations live.
Dashboards measuring automation impact.
Automation in the context of the whole business.
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