A simpler way to keep up with customers.

Get the customer record right first

An AI CRM is useful when contacts, conversation history, opportunity stages, and owners are reliable. Start with consistent required fields and a process for duplicates. AI cannot compensate for a customer record that mixes several people or has no current owner.

Give every enquiry a next step

Define what happens after a website form, phone call, or message. Capture the source and customer need, assign an owner, and set a reasonable follow-up date. A simple queue of open next actions helps the team see work that would otherwise stay in someone’s inbox.

Use AI to prepare, summarise, and suggest

Useful assistance includes summarising a conversation, drafting a follow-up, or organising questions before a call. Show where important facts came from and let the owner edit the result. Review customer-facing claims and commitments before sending them.

Connect channels without losing context

Agree how email, messaging, booking, and support systems identify a customer. Keep timestamps and consent information where the workflow needs them. Define what should happen when a channel fails to deliver or a customer asks not to be contacted again.

Set permissions around responsibilities

Decide who can read, edit, export, or delete records. Limit integration access to the required work. Establish human approval for unusual discounts, sensitive communications, and changes that affect customer access or financial commitments.

Measure follow-up quality

Look at response times, overdue next actions, duplicate records, and qualified opportunities. Review whether automation helps the team have better conversations. Do not measure success only by the number of messages sent.

Sources and next steps

Use the source documentation for current platform requirements and a Marsen tool to examine your starting point.

Calculate automation ROI
Explore a CRM follow-up workflow