Trusted integrations
The operating layer
Mihu isn't a bot you buy. It's the layer your contact center runs on — where you describe an agent in plain language, test it against a thousand simulated conversations, ship it to voice and WhatsApp, and let every call it takes make the next one better.
Describe behaviour, guardrails and procedures in plain language. One definition spans every channel.
Run it against AI-generated personas — impatient callers, code-switchers, edge cases — and score it before launch.
Builder Assistant writes the integrations the platform doesn't ship out of the box, and deploys them on real compute.
Go live on voice, WhatsApp, SMS, email and social at once — synced to your CRM, running campaigns, booking appointments.
Every interaction is scored, gaps are flagged, agents are auto-coached. Then the loop closes.
Improve feeds straight back into design — the system compounds with every conversation.
3am. The call still gets answered. Nobody had to be on the floor.
Four assistants
Every vendor gives you an assistant that talks to your customers. Mihu gives you four more that work on the platform itself: one you ask, one that writes code, one that tests before you ship, and one that keeps improving after you have.
Mihu Assistant
A conversational layer over the whole platform. Create and update agents, connect a channel, launch a campaign, pull last week's numbers — by asking, not by clicking through settings.
Talk to your platform.
Builder Assistant
It writes real software. Custom JSON payloads to your webhooks, contact segmentation with triggered flows, a connector to the legacy system nobody wants to touch — then deploys it as a running service with its own compute. Not a mockup; real deployed infrastructure.
Have it build you software.
Simulator Agent
It plays your customers back at you. Simulator Studio generates personas — the impatient caller, the code-switcher, the one pushing on your refund policy — runs your agent against them, and scores it. You find out where it breaks before a real customer does.
Break it before your customers do.
Improvement Agent
It reads every conversation — all of them, not a 2% sample — scores them against your rubric, finds what the agent didn't know, and coaches it. Ship on Monday, and the agent is measurably better by Friday without anyone opening a report.
It gets better while you sleep.
Same agent, same memory, same context — wherever the conversation lands.
Not ten products bolted together. The same agent — same memory, same context — answers the call, picks up the WhatsApp thread an hour later, and emails the quote. The customer never starts over.
One conversation. Three surfaces. Zero context lost.
Sense · decide · act
Reading sentiment is table stakes. The question is what happens next. Mihu senses, decides against your rules, then does something about it — while the customer is still on the line.
Sentiment, intent, knowledge gaps and escalation risk — detected in real time, on 100% of interactions. Never a sample.
Your rules and thresholds sit on top of what was sensed. Frustration past a line, a refund over an amount, a policy topic — you set the trigger.
The platform acts. It escalates to a human with full context, updates the CRM deal, fires a webhook, re-routes the call, opens a task, triggers a follow-up campaign.
Simulate
Simulator Studio runs your agent against AI-generated customer personas — impatient callers, code-switchers, edge cases — then scores it on a skill scorecard. De-risk the launch before anyone picks up the phone.
Quality & coaching
The Quality & Coaching Agent evaluates 100% of interactions — not a 2% sample a supervisor had time for — flags what to fix, and coaches automatically. Scores don't sit in a report; they feed the next conversation.
Every interaction evaluated against your rubric — AI and human alike.
Targeted training built from the calls that actually went wrong.
What the agent didn't know, ranked by how often it was asked.
A hybrid queue where your people and your agents work the same conversations — the AI handing off mid-thread with full context, and taking it back when the hard part is done. In build at workdesk.mihu.ai. It does not ship today.
Enterprise
Sub-second responses. Live retrieval from your own systems while the customer is still talking. 40+ languages. And the controls your security review is going to ask about.
POST /v1/call
POST /v1/whatsapp/template
POST /v1/task/schedule
GET /v1/analyze/{conversation_id}
# Every action in the platform is available
# over REST — and over MCP at mcp.mihu.ai,
# so you can drive it from Claude or ChatGPT.From automotive dealerships to healthcare providers, Mihu AI adapts to your specific needs.
Handle service appointments, parts inquiries, test drive bookings. AI that understands vehicle specs and schedules across dealerships.
Pricing
You pay for conversations, not chairs. Scale from ten calls to ten thousand without renegotiating a contract — and pay nothing for the agents sitting idle at 3am.
Pay per minute or per message. Adding a teammate doesn't add a bill.
Ten calls or ten thousand. No re-contracting, no capacity planning.
Voice from €0.03/minute. Messaging billed per conversation. Volume pricing available — talk to us about your call volumes and we'll model it against what you spend today.
Join hundreds of companies using Mihu AI to deliver exceptional service at scale.
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