Your pipeline meeting starts with reps updating stages they should have updated last week.
Leads from ads and forms reach the CRM late, duplicated or without a source.
You pay for HubSpot or Pipedrive and still run the business from your inbox.
You clean duplicates every quarter and chase reps for notes before renewals.
Numbers from CRM data and sales research — the CRM is bought, the data in it is not trusted, and reps spend most of their day on something other than selling.
of CRM users say less than half of their organisation’s CRM data is accurate and complete (602 respondents).
Validity, State of CRM Data Management 2025 ↗of CRM users report direct revenue loss from poor data quality.
Validity, State of CRM Data Management 2025 ↗of a salesperson’s time goes to selling; the rest is deal management, data entry and admin (7,775 respondents).
Salesforce, State of Sales ↗of CRM users admit they sometimes falsify data — 33% often, 42% occasionally — to get the fields filled.
VentureBeat, citing Validity ↗of CRM implementations fail to meet their planned goals.
Johnny Grow, CRM failure rate ↗of companies lose more than 10% of annual revenue to CRM data quality problems.
VentureBeat, citing Validity ↗Put your monthly volume into the calculator and see hours and dollars.
CRM automation takes the manual path a lead follows — create the contact, research the company, assign it, write up the call, update the stage, write the follow-up, fix the duplicate later — and runs it as a workflow around the CRM you already have. The CRM itself is rarely the problem. The problem is that filling it in is work nobody is paid for, so the data is incomplete, reps admit to inventing it, and most of a rep’s day goes to admin instead of selling.
We build automated CRM workflows on HubSpot, Salesforce, Pipedrive, Zoho CRM or GoHighLevel rather than on a new system. A new lead starts the run: it is matched against existing records, created once with source and consent, enriched from Apollo-style APIs and the company site, scored by a language model and assigned by your rules, with a Slack card and a drafted first reply for the rep. After a call, the transcript becomes notes, tasks and a stage proposal the rep confirms. Every night the base is normalised, duplicates flagged and stale deals nudged.
Reps stop typing and start reviewing: the data in the CRM becomes something the pipeline meeting can trust, leads reach the right person within minutes, and CRM and automation together give the sales lead a forecast built on activity rather than memory — while every customer-facing message is still approved by a person.
The run path of one lead. Each lead travels it on its own; uncertain duplicates and anything a customer would see stop and go to a person.
A form webhook, a Gmail or Outlook message, a Facebook or Google Lead Ads submission or an inbound call log starts a run.
Searches HubSpot, Salesforce or Pipedrive by email, phone and domain before anything is created.
A clear match updates the existing contact and adds a note; an uncertain match is queued for a person to merge; a new lead is created.
Writes the contact, company and deal with source, campaign and consent fields filled from the start.
Pulls size, industry, location and site from Apollo-style APIs and the company website.
A language model rates fit against your ICP from the enrichment and the form answers and writes a three-line brief for the rep.
Round-robin or territory rules set by your sales lead; the rep gets a Slack card with the brief and the next step.
Writes the first reply in your tone for the rep to approve — nothing goes to a customer unseen.
After a Zoom, Google Meet or phone call ends, the recording is transcribed (Whisper, Zoom or Gong) and attached to the deal.
Summarises the call, logs it on the deal, sets the next task and proposes the stage change for the rep to confirm.
Every night: deals with no activity for N days get a reminder to the rep, then a drafted check-in email after a second silence.
Normalises phones and addresses, flags duplicates and bounced emails, marks contacts untouched for a year as stale.
Creates the customer in QuickBooks or Xero, the project in Asana or ClickUp and starts the onboarding sequence.
Typical minutes per lead for a rep in a small sales team. Your own numbers go into the calculator below.
Based on 24 min by hand and 2.5 min with the flow per item, from the table above.
The flow creates, enriches, assigns, logs and cleans. People keep every conversation with a customer and every rule the flow follows.
Qualifying a strategic account and deciding how to pursue it is the rep’s call.
Call notes and follow-up emails are reviewed by the rep before they are saved or sent.
Clear matches merge automatically; uncertain ones wait for a person.
Your sales lead defines the territories, the round-robin and what a good lead is.
Important customers hear from a person, not a sequence.
Which fields are stored, who sees them and how consent is recorded — set with you.
Flip a switch to hand a step to the flow or take it back.
Benchmarks from Validity’s State of CRM Data Management 2025, Salesforce’s State of Sales research and Johnny Grow’s study of CRM implementation outcomes.
We map the process as it runs today, count the minutes and agree what the flow must never do on its own.
A working flow on your real data, in a sandbox. You see every run and every exception.
Edge cases, approvals and alerts, then the switch-over — with the old way kept as a fallback.
Monitoring, fixes when a vendor changes a format, and a monthly report of hours saved.
We automate the one you have. HubSpot, Salesforce, Pipedrive, Zoho CRM and GoHighLevel all expose APIs, and the flow writes into your existing pipelines, fields and owners. Switching CRMs is a separate decision we will tell you honestly whether you need.
Yes. After a Zoom, Google Meet or phone call the recording is transcribed, a language model writes the summary and next steps, and the rep confirms them with one click before they are saved to the deal. Reps stop typing notes and the pipeline stops depending on memory.
Every lead is matched by email, phone and domain before a record is created, clear matches update the existing contact, and uncertain ones wait for a person to merge. A nightly job normalises phones and addresses and flags bounces, so the base gets cleaner over time rather than fuller.
Built-in workflows are good at moving fields inside the CRM. Customer relationship management automation also needs enrichment APIs, transcripts, a language model for scoring and summaries, and connections to accounting and project tools — the steps that happen outside the CRM.
Within minutes of the form, email or ad submission: the record is created, enriched, scored and assigned, and the rep gets a Slack card with the brief and a drafted first reply. The flow runs around the clock, so a lead arriving at night is waiting in the morning.
Yes, usually as the first step: duplicates found and merged by rule, phones and addresses normalised, bounced and stale contacts marked, companies enriched. CRM and automation only pay off when the data underneath is trusted.
The flow runs on your server or cloud account with the narrowest API scopes, and consent is recorded on every record. Nothing written by the model is sent to a customer without a rep approving it; sequences stop the moment a contact replies.
Describe it in two sentences — we reply within a day with a workflow sketch.
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