Your conversations already contain the answers to most of your business questions. Who's about to churn, what people keep complaining about, which leads are ready to buy, what your best agents do differently. The problem is that all of it usually evaporates the moment the call ends — buried in recordings nobody has time to listen to.
Mihu changes that. Every conversation its agents handle is analyzed as it happens — sentiment, emotion, topics, outcome — turned into structured data, scored, and written back to your CRM. Then the Mihu Assistant lets you ask that data anything, in plain language. "Show me customers who were frustrated last month and what I should improve" stops being a research project and becomes a sentence.
The data that vanishes
Traditional call centers record everything and learn almost nothing. The insight is technically there, locked inside hours of audio, but extracting it means someone manually listening, tagging, and summarizing — which never happens at scale. So the patterns that matter most stay invisible until they show up as churn or lost sales.
Because Mihu's agents are the AI handling the conversation, the analysis isn't a separate step bolted on afterward. Understanding the customer is already happening in order to respond, so capturing what was said, how it felt, and what it means comes for free — on every interaction, automatically.
What Mihu's analysis reads
"Sentiment analysis" is more than a thumbs up or down. For each conversation, Mihu reads a full picture:
Sentiment & emotion
Positive, neutral or negative overall — plus the specific emotion: frustrated, angry, confused, anxious, satisfied, delighted.
Emotional trajectory
How the customer's mood moved across the call — started angry, ended reassured, or the reverse. The arc, not just the average.
Topics & intent
What the conversation was actually about — the request, the product, the complaint — so themes can be counted across thousands of calls.
Resolution & escalation
Was the issue solved, left open, or handed to a human — and why. The difference between a happy customer and a ticking one.
Complaint & churn signals
Flags the moments that matter — a complaint, a cancellation threat, a frustrated repeat caller — so nothing slips by unnoticed.
Satisfaction & buying signals
Picks up the positive cues too — praise, readiness to buy, strong interest — so good moments get acted on, not just bad ones.
Ask your conversations anything
Here's where it gets genuinely useful. All of that analysis sits behind the Mihu Assistant, so you don't dig through dashboards — you just ask, the way you'd ask a sharp analyst on your team.
- Callback failures (9) — promised callbacks that never happened
- Long hold times (7) — waits over four minutes before reaching an agent
- Repeat issues (5) — same problem raised across multiple calls
Other questions teams ask the same way: "What are the top complaints this week?", "Which agent has the lowest sentiment scores and why?", "List unhappy customers we haven't followed up with", "How did sentiment change after we updated the script?" Same data, infinite angles.
CRM & custom fields, auto-updated
Analysis only pays off if it lands where your team works. After each conversation, Mihu extracts what matters and writes it straight back to your CRM — standard fields, custom fields, tags, status, outcome, and a sentiment score — so records stay current with zero manual data entry.
It works with the CRMs Mihu already connects to, so the right people see an up-to-date record the moment a conversation ends — not whenever someone gets around to logging it.
Collecting info from customers
You decide what each agent should find out, and it gathers that information naturally in the flow of conversation — never a robotic form read aloud. Vehicle of interest, budget, timeline, postcode, preferred contact time, consent: whatever you define, the agent asks for it at the right moment and saves it to the contact.
Because it happens on every interaction, profiles get richer over time. A lead who shared their budget last week and their timeline this week now has a complete picture built — without anyone on your team typing a thing. This is progressive profiling that actually runs itself.
No more "we'll fill in the CRM later"
The data is captured, structured, and saved as the conversation happens. The CRM stops being a chore your team avoids and becomes a record that's simply always right.
Lead scoring that runs itself
Every lead gets a score built from what actually came up in conversation — intent strength, budget, urgency, engagement, and sentiment — so your team always knows who to call first. No manual qualifying, no gut-feel triage.
Hot leads can be routed to a salesperson the instant they qualify; warm ones drop into nurture; cold ones don't waste anyone's time. And since the score lives in the CRM and updates with every new conversation, it reflects where the lead is today, not where they were when a rep last guessed.
And a lot more
Once every conversation becomes analyzed, structured, queryable data, the list of what you can do stops being fixed. A few of the things teams build on top of it:
From "what happened?" to "what now?"
Mihu doesn't just record your conversations — it understands them, files them, and hands them back to you as answers. You spend less time digging and more time acting on what your customers are already telling you.
Frequently asked questions
How does Mihu do sentiment analysis?
It analyzes every call and chat its agents handle — reading the customer's sentiment and emotion, how their mood shifted, the topics raised, whether the issue was resolved, and any complaint or churn-risk signals — then stores the results against each contact and conversation so you can review and query them.
Can I ask about customer sentiment in plain language?
Yes. With the Mihu Assistant you can ask things like "show me customers who were frustrated last month", "what are the top complaints this week", or "which leads are hot", and get an answer — usually with a suggestion on what to improve.
Does Mihu update my CRM automatically?
Yes. After each conversation it can extract the details that matter and write them back to your CRM — including custom fields, tags, status, outcome, and a sentiment score — so records stay current without manual data entry.
Can Mihu score leads?
Yes. It scores each lead from the signals captured in conversation — intent, budget, urgency, engagement, and sentiment — so you can prioritize the hottest leads and route them to a human instantly.
Can agents collect specific information from customers?
Yes. You define what an agent should gather — vehicle of interest, budget, timeline, preferred contact time, and so on — and it collects that naturally in conversation and saves it to the contact record.
Stop guessing. Ask your conversations.
Let Mihu analyze every call and chat, keep your CRM current, score your leads, and answer the questions that actually grow the business.
See it on your own data Sentiment & emotion analysis · Auto-updated CRM · Lead scoring · €30 free credit