Every CRM has the same dirty secret: it's only as good as the data people remember to put in it — and people don't. After a busy call, logging notes, updating fields, and tagging the record is the first thing that gets skipped. So the CRM drifts out of date, the fields sit empty, and the "single source of truth" quietly becomes a source of guesses.
Mihu's CRM fixes that at the source: the AI that handles the conversation also reads it, and writes what it learned straight into the record. No one has to remember to log anything. And with the Analyzer, you're not limited to the fields the CRM shipped with — you can invent any field you want and simply describe, in a prompt, what it should figure out from each conversation.
The CRM nobody updates
The gap between what was said on a call and what ends up in the CRM is where deals and details go missing. A customer mentions their budget, names a competitor, hints they're ready to buy — and unless someone types all of that in before the next call rings, it's gone. Multiply that across every conversation, every day, and the picture your team is working from is always a little wrong and a little old.
The fix isn't to nag people to do more data entry. It's to remove the data entry entirely.
AI that reads & updates
After every conversation, Mihu's AI reads what happened and updates the customer record for you — contact details, status, outcome, tags, and any custom fields you've set up. The information is captured as the conversation happens and written where your team can see it, current the moment the call ends.
You stay in control of how it writes: updates can be fully automatic, or held for a human to approve first (more on that below). Either way, nobody is copying notes into fields by hand.
The Analyzer: fields you define by prompt
This is the part that changes what a CRM field even is. With the Analyzer, you create a custom field, give it whatever name you like, and write a prompt describing what it should analyze in each conversation. From then on, the AI fills that field automatically, on every interaction, based on your instruction.
Want to know whether a customer mentioned a competitor? Create a field called "Competitor mentioned" and prompt it: "If the customer named a competitor, record which one; otherwise leave blank." Want their main objection captured every time? Add an "Objection" field with a prompt for it. You're effectively giving each field a tiny job description — and the AI does that job on every call and message, forever.
Your CRM, your questions
Instead of bending your process to fit fixed fields, you define the exact things your business cares about — in plain language — and the Analyzer keeps them filled in. The CRM finally tracks what you want to know.
Any format you want
You don't just decide what a field analyzes — you decide how the answer is written. Tell the Analyzer the format and it returns it that way, consistently, every time, so the data stays clean enough to filter, sort, and report on.
So a "Follow-up needed" field can return a clean Yes or No, a "Summary" field can return one tidy sentence under fifteen words, a "Renewal date" field can return a proper date, and a "Satisfaction" field can return Positive / Neutral / Negative — never a paragraph where you wanted a tag. Consistent format is what makes the data usable, not just present.
Lead scoring as a field
Because an analyzer field can weigh up a whole conversation and return a clean category, lead scoring becomes just another field you define. Create a "Lead tier" field and prompt it to judge readiness from the information and intent expressed — budget, urgency, engagement, how concrete the interest is — and return one of your tiers.
Budget and timeline confirmed, clear intent to buy
Genuine interest, but no timeline or budget yet
Just browsing, vague or low engagement
Now every customer is sorted by how ready they are, automatically, straight from what they actually said — so your team always knows who to call first, and high-intent leads never sit unnoticed in a list. It's the lead scoring most teams mean to do by hand and never get around to.
Automatic or approved — your choice
Speed and control aren't either/or. You decide, per field or per update, whether the AI writes to the CRM on its own or queues the change for a human to approve first.
Automatic
Updates are written the moment the conversation ends — ideal for high volume and routine fields, with zero lag and zero effort.
Approval required
The AI proposes the change and a person reviews it before it's saved — ideal for sensitive fields or when you want a human eye on the data.
Analyzer fields people build
A few real examples of the prompt-defined fields teams set up:
"If the customer named another provider, record which one. Otherwise leave blank."
"What was the customer's main hesitation? Choose: Price, Timing, Trust, Features, None."
"Does this conversation require a follow-up from our team?"
"Summarize what the customer wanted in one short sentence."
"Based on budget, urgency and intent, classify this lead."
A CRM that keeps itself honest
Define the fields once, in plain language, and they fill themselves from every conversation — in the format you chose, with the control you set. Your records stop being a chore and start being something you can actually trust.
The Analyzer is part of Mihu's wider conversation intelligence — so the same data also powers reporting and questions you can ask in plain language, like "show me everyone with a high lead tier we haven't called." And you can set it all up, and decide what's automatic versus approved, through the Mihu Assistant.
Frequently asked questions
How does Mihu update my CRM?
After each conversation, the AI reads what was said and updates the customer record — standard fields, custom fields, tags, status, and outcomes. You choose whether it writes updates automatically or queues them for your approval first.
What is the Analyzer?
It lets you create a custom CRM field, give it any name, and write a prompt describing what it should analyze in each conversation. The AI then fills that field from every interaction, in the format you specify — a category, yes/no, a score, a date, or short text.
Can I control the format of a field?
Yes. You define the output format — a fixed set of categories, yes or no, a number or score, a date, or short text written to your specification — and the Analyzer fills the field in exactly that format every time.
Can it score leads?
Yes. Create an analyzer field that classifies each customer by the information and intent expressed — for example High, Warm, or Cold — so your team can prioritize the hottest leads automatically.
Can I require approval before the CRM is updated?
Yes. Updates can be fully automatic, or you can require a human to review and approve them before they're written — so you get speed where you want it and control where you need it.
Let your CRM fill itself in
Define the fields that matter in plain language, choose your format and your controls, and watch every conversation keep your records — and your lead scoring — current on their own.
Try the Analyzer Auto-updated records · Prompt-defined fields · Any format · Built-in lead scoring