# AI Contact Center & Voice Agent Platform | Mihu AI Explore ready-made templates # AI Contact Center Platform for Voice, WhatsApp & CRM Automation Build your AI agents the way you think | Upload Image Upload File Request Demo (https://mihu.ai/contact) Hear Real Calls (https://mihu.ai/audio-demo) Trusted integrations HubSpotSalesforceZohoMondayPipedriveFreshworksMicrosoftWhatsAppInstagramMessengerSlackTwilioTelegramGoogle CalendarCalendlyCal.comZapierMaken8nAirtableNotionGoogle AnalyticsMixpanelGoogle SheetsSegmentElevenLabsDeepgram 50+ integrations · View all → (https://mihu.ai/integrations) A tangle of knotted cables on the left straightening into parallel, evenly spaced lines that run off to the right. The operating layer ## One layer to design, run and improve every agent you ship. 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. 01 ### Design Describe behaviour, guardrails and procedures in plain language. One definition spans every channel. 02 ### Simulate Run it against AI-generated personas — impatient callers, code-switchers, edge cases — and score it before launch. 03 ### Build Builder Assistant writes the integrations the platform doesn't ship out of the box, and deploys them on real compute. 04 ### Deploy Go live on voice, WhatsApp, SMS, email and social at once — synced to your CRM, running campaigns, booking appointments. 05 ### Improve 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. An empty overnight operations floor, every monitor lit, no one at the desks. 3am. The call still gets answered. Nobody had to be on the floor. Four assistants ## Four assistants pointed at the platform — not at your customers. 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 ### The control layer 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. Create and update agents by describing the change Connect channels and launch campaigns from chat Same actions from Claude or ChatGPT over MCP app.mihu.ai Talk to your platform. Builder Assistant ### The coding layer 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. Custom integrations the platform doesn't ship out of the box Dedicated dev server with full file & SSH access Automatic QA — code review, tests and spend tracking vCPU 0.5 Memory 512 MB Cost / mo $4.20 review passed qa 12/12 eu-west · 99.98% Have it build you software. Simulator Agent ### The testing layer 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. Personas built from your own conversations, never generic scripts A skill scorecard on every run Re-run the whole suite before any change ships simulator-studio Simulator Studio running an agent against generated customer personas Break it before your customers do. Improvement Agent ### The coaching layer 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. 100% of interactions scored, human and AI alike Knowledge gaps ranked by how often they cost you Coaching written back into the agent automatically quality-coaching · last 30 days auto-coached Resolution rate 79 → 93 +14 Empathy 88 → 94 +6 Policy adherence 96 → 100 +4 3 knowledge gaps closed 42 calls coached It gets better while you sleep. Overhead view of five devices laid out in a row on dark slate: a desk phone, a smartphone, a pair of headphones, a laptop and a speaker. ## One brain. Every surface your customers already use. 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. Voice & call Inbound + outbound WhatsApp Business API + calling SMS Two-way messaging Email An inbox per agent Instagram & Messenger Social inbox Reception & booking IVR, routing, scheduling CRM & ERP Any system with an API 09:14 · Voice "Do you have the X5 in black?" — the agent checks live stock and quotes €72,500. Retrieved from your inventory mid-call. 280ms. 10:02 · WhatsApp "Can you send the spec sheet?" — the agent sends the PDF for the car it just quoted. No re-introduction. It already knows which car. 10:20 · Email Quote and finance options sent. The deal is updated in your CRM. Salesforce, Zoho, Dynamics, Freshworks — or anything with an API. One conversation. Three surfaces. Zero context lost. Sense · decide · act ## It isn't a dashboard. It's a trigger system. 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. 01 ### Sense Sentiment, intent, knowledge gaps and escalation risk — detected in real time, on 100% of interactions. Never a sample. 02 ### Decide 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. 03 ### Act 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. Live call · 02:34 billing · refund Sense Sentiment drops to frustrated — third mention of "charged twice". confidence 0.94 Decide Rule matched: frustration + billing topic + refund over €100. escalate immediately Act Four things happen at once — before the customer has to ask. Hand off to a human, transcript attached Update the CRM deal Fire the billing webhook Flag the call for coaching Result Handoff completed in 4 seconds. The human picked up mid-sentence, already knowing the customer, the charge and the amount. Simulate ## Test it against a thousand conversations before one customer talks to it. 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. Personas generated from your own conversations, not generic scripts A skill scorecard for every run Re-run the suite before every change ships See the platform (https://mihu.ai/platform) simulator-studio · run #248 IC Impatient caller Interrupts, wants a number now 96 CS Code-switcher Switches language mid-sentence 91 RE Refund edge case Pushes past the policy boundary 88 Resolution 93 Policy adherence 100 Empathy 88 Quality & coaching ## Every conversation is scored. Every agent gets coached. 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. One person seen from behind at the single lit workstation in an otherwise dark, empty office. ### Call scoring Every interaction evaluated against your rubric — AI and human alike. ### Auto-coaching Targeted training built from the calls that actually went wrong. ### Knowledge gaps What the agent didn't know, ranked by how often it was asked. Coming soon ### The human workdesk 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. AI Order tracking Resolved without a human 0:42 AI Spec sheet request PDF sent, follow-up scheduled 1:10 Handoff Double charge — refund €247 Escalated to a human, context attached 0:04 Enterprise ## Fast, grounded, and governed. 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. Under 700ms response, 99.9% uptime SLA Live inventory, pricing and availability queried mid-conversation — no "let me check" Grounded in your data: site crawl, CSV, Excel, JSON, PDF, XML or audio GDPR & HIPAA flags per agent, roles, audit trails, two-factor auth Everything is API-managed REST · MCP 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. 40+ Languages, natively 99.9% Platform uptime 100% Of interactions scored Industries ## Built for your industry From automotive dealerships to healthcare providers, Mihu AI adapts to your specific needs. ### Automotive Handle service appointments, parts inquiries, test drive bookings. AI that understands vehicle specs and schedules across dealerships. 60% Faster bookings 24/7 Service desk Explore automotive AI agents (https://mihu.ai/automotive) ### Healthcare Healthcare scheduling and patient inquiries with configurable privacy controls. Explore healthcare AI agents (https://mihu.ai/healthcare) ### Real Estate Qualify leads & schedule viewings 24/7. Explore real estate AI agents (https://mihu.ai/real-estate) ### Professional Services Client intake, scheduling Explore professional services AI agents (https://mihu.ai/professional-services) ### Financial Secure verification & appointments. Explore financial services AI agents (https://mihu.ai/financial) Pricing ## Usage-based. No seat licences. 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. ### No seat licences Pay per minute or per message. Adding a teammate doesn't add a bill. ### Scale instantly 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. Talk to sales (https://mihu.ai/contact) See the platform (https://mihu.ai/platform) ## Ready to transform your customer experience? Join hundreds of companies using Mihu AI to deliver exceptional service at scale. €30 free credit to start Setup in minutes Get Started Now (https://app.mihu.ai/register) ### Get in touch Fill out the form and we'll be in touch within 24 hours. Request Demo What can Mihu build for you?