Useful automation starts by understanding the real work, before choosing a tool. This guide helps you make that decision with data, tests and clear ownership.
Where it fits your workflow
We connect leads, messages, calendars and your CRM so each opportunity reaches the right person. We record source, prevent duplicates and prepare a contextual first response.
How to plan the implementation
Unify contacts with stable identifiers and preserve each opportunity’s source. Before sending messages or assigning work, check consent, sales stage and ownership.
Before implementation, map the source data, the expected outcome and the person who approves exceptions. Check which systems offer an API and which steps need manual review.
A practical example
Define “priority” using observable signals: need, territory, target date and existing relationship. AI can summarise a conversation and suggest a category; a salesperson must be able to correct it. Periodically review false positives and missed opportunities.
What to measure and when to step in
Set a baseline and monitor first-response time, enquiries handled and real CRM progress. An automatic outcome is not necessarily a correct one: keep uncertain cases visible and record staff corrections.
Stop sequences when a customer replies and review duplicate contacts to avoid inconsistent conversations.
AI lead qualification
We assess the information in each opportunity against qualification rules agreed with you. Your team receives a reasoned priority and knows what is missing before replying.
See how we build it ↗What comes next?
Choose one workflow, document how it works today and note the time it takes and common errors. With that baseline, we can define a small test before expanding the automation.