Capture
A lead, customer update, booking, or payment event arrives from an approved source.
Why CRM data quality declines
Automate CRM data capture, enrichment, routing, follow-ups, duplicate checks, and pipeline hygiene across your existing sales tools.
- New enquiries arrive through disconnected channels
- Fields are incomplete or formatted differently
- Follow-up tasks depend on someone remembering
- Duplicate records and stale opportunities hide the real pipeline
A practical CRM workflow
Match
The workflow finds the correct record and checks for duplicates or missing identifiers.
Prepare
Rules and AI extraction standardise fields, classify the request, and prepare the next action.
Approve
Sensitive merges, ownership changes, or uncertain data wait for human confirmation.
Act
The CRM, task list, notification, and reporting data update together.
Clean data without uncontrolled changes
We use explicit matching rules, confidence thresholds, field-level permissions, change logs, and approval gates. Enrichment sources are selected with your data policy in mind.
Integrations
HubSpot, Salesforce, Pipedrive, Zoho CRM, Airtable, Gmail, Outlook, Typeform, Tally, Calendly, Stripe, Shopify, Google Sheets, Slack, Microsoft Teams, n8n, Make, Zapier, and custom APIs.
CRM automation FAQ
Do we need to replace our CRM?
No. The goal is usually to improve the CRM and surrounding workflow you already have.
Can it prevent duplicate records?
It can check defined identifiers and similarity rules before creating or merging records. Ambiguous matches can be sent for review.
Can AI read enquiries from email or forms?
Yes. An AI agent can extract structured details from approved unstructured inputs, then pass them through validation and approval rules.
Make the CRM reflect real work
Tell us where CRM information comes from and where it becomes unreliable. We will map a focused workflow for capture, validation, ownership, and follow-up.