CRM cleanup
Fields, stages, ownership, duplicates, missing values, inconsistent records, and import preparation.
I help HubSpot, RevOps, CRM, and agency teams with routing, field mapping, workflow fixes, integrations, reporting cleanup, QA, and handoff notes.
I am usually brought in after the business direction is clear and the implementation still needs to be built, fixed, tested, or cleaned up.
Fields, stages, ownership, duplicates, missing values, inconsistent records, and import preparation.
Broken triggers, bad filters, missing actions, partial failures, retries, and workflows nobody trusts.
Lead owners, booked-call assignment, CRM object mapping, safe matching keys, and fallback rules.
Make, Zapier, n8n, APIs, webhooks, payload cleanup, record creation, and connected-tool sync.
Fixing the CRM inputs and workflow states that make reports incomplete, inconsistent, or misleading.
Real-record testing, edge cases, dedupe checks, review queues, Loom videos, and implementation notes.
Most client systems are private. These examples show the actual problem, what was built, and the operational result without exposing client data.
Built for a franchise advisory team that needed cleaner lead research without allowing AI to overwrite live CRM data blindly.
New leads still required repeated manual research before the records were useful.
A label-triggered enrichment flow with sourced research, structured output, and manual review.
The workflow went live, was accepted and paid, and led to another requested integration.
A group of n8n workflows for a staffing company with meeting, candidate, CRM, ATS, and account-channel activity spread across several tools.
Important calls, candidate interviews, transcripts, and CRM emails were not reaching the right place.
Meeting matching, CRM logging, ATS notes, transcript files, Slack routing, ledgers, and review paths.
Production workflows created usable records while ambiguous matches were routed for human review.
Built for an outbound agency where bookings, ownership, pre-call emails, and subscriber sync were fragile or manual.
Booked meetings did not consistently create the correct CRM records or assign the right rep.
Person and deal creation, pipeline placement, rep assignment, pre-call emails, and subscriber sync.
The booking flow, routing logic, email sequence, and Beehiiv sync were tested and working.
Built inside an internal CAD/BIM software sales operation where lead, quote, order, payment, and follow-up status lived across inboxes and spreadsheets.
The inbox showed activity, but there was no reliable structured state for next actions and ownership.
Lead, contact, task, quote, event, review, payment, and QA workflows around Gmail and Airtable.
The system moved into daily internal use and made revenue-related workflow state visible outside Gmail.
The goal is not to make the automation look clever. The goal is to make the process predictable, testable, and understandable after handoff.
Review the current workflow, records, payloads, fields, and examples instead of relying only on the intended process.
Confirm the source of truth, matching keys, routing logic, overwrite rules, and cases that need review.
Ship the smallest reliable version and test happy paths, duplicates, missing data, bad access, and partial failures.
Document the trigger, fields, logic, edge cases, known limitations, and how the team should operate it.
I work best as the practical implementation layer—not as a replacement for the senior strategist who owns the overall RevOps or GTM direction.
I am not selling a specific tool. I use the existing stack where it makes sense and add the minimum reliable glue around it.
Pipedrive, Salesforce, GoHighLevel, Airtable, HubSpot-adjacent workflows
Make, n8n, Zapier, native CRM workflows, REST APIs, webhooks
Google Sheets, Excel, Google Drive, Google Docs, Data Stores, processing ledgers
Slack, Gmail, Google Workspace, Cal.com, Fireflies
OpenAI, Claude, structured extraction, classification, review-first enrichment
Lever, Dripify, Surfe, Beehiiv, Brevo, Google Contacts, DataForSEO
Send me the rough context. I’ll tell you honestly if I can help, and if it fits, I’ll scope a small fixed first step.