What's actually being lost, and what it takes to win it back, is different in every industry. A missed service call in automotive costs a workshop bay-hour. A no-show in healthcare costs a clinician's slot. An unreturned property enquiry in real estate costs the whole deal to a faster competitor.
Mihu AI's eight industry solution pages — automotive, e-commerce, financial services, healthcare, hospitality, professional services, real estate, and tourism — list a combined 461 named outcomes: specific, narrow automations, each with its own channel mix and its own quoted metric. That level of specificity is the real story here. This isn't "we built a chatbot for your industry" — it's closer to a parts catalog: pick the exact leak you have, and there's a numbered part designed to plug it.
This post goes one level deeper than the usual pitch: real use cases with their actual numbers, the operational structure hiding underneath all 461 of them, and what genuinely drives revenue versus what's really risk management wearing a revenue metric's clothes.
The raw shape of the data
Every one of the 461 cards on these pages carries the same five attributes:
That taxonomy is more revealing than any marketing copy, because it shows where each industry actually spends its 50–62 outcomes. Below is the dominant operation-type share for each industry — the real counts behind every bar.
The takeaway: in every single industry, "support" — not lead capture — is the largest category. The instinctive pitch ("we'll help you convert more leads") undersells what's actually being built. The bulk of the value on offer is operational absorption: taking volume off a human team's plate so the team can spend its time on the calls that actually need a person.
Real use cases, real numbers
The taxonomy explains the shape; these are the actual outcomes behind it, one per industry, with their quoted metrics.
Automotive — the technical follow-through, not the sales pitch
+34% calls recoveredMissed Call Recovery → Service Booking calls back a missed service enquiry within 5 minutes and books the earliest slot (Voice/SIP, WhatsApp). Recall & Software Update Notification contacts owners about a manufacturer recall (+41% recall completion) — a liability metric, not a growth one. Core Return & Warranty Parts Reminder chases warranty core deposits: 75% recovered within 30 days, which is real, direct cash.
The pattern: sales-stage use cases exist, but they're a minority (13 of 60 are Pre-Sales). The bulk of the value sits in after-sales — parts, service, recalls, warranty — where a dealership's actual operational friction lives.
E-commerce — the money is in the failure states, not the funnel
55% of failed payments recoveredAbandoned Cart Recovery and Failed Payment / Card Update Recovery are the clearest "this is just money" use cases — a failed card charge is a completed sale that silently reverted, and re-authorizing it is closer to picking up cash off the floor than marketing. Order Status (WISMO) Deflection doesn't recover a sale, it removes a support ticket — cost avoidance, not revenue. Pre-Order / Launch Waitlist Management converts 40% of a waitlist into purchasers at launch, one of the few genuinely Pre-Sales use cases here.
The honest framing: most "recover" and "convert" use cases are about catching money already earned and almost lost — a card decline, an abandoned cart — rather than generating net-new demand.
Financial services — compliance is the product, not a footnote
100% disclosures on timeOf 59 outcomes, a striking number carry 100% compliance-completion metrics rather than growth metrics: Regulatory Disclosure Delivery & Acknowledgment, Marketing Consent Opt-in/Opt-out Management (100% of opt-outs applied within 24 hours), Recorded Line Consent & Disclosure. None of these are revenue metrics — they're audit-trail metrics. Meanwhile Loan / Insurance Lead Qualification (under 60 seconds to first contact) sits on the same platform.
A missed disclosure isn't a lost sale, it's a fineable event. The pitch isn't "more leads" — it's "provably compliant, at a volume a human team can't sustain."
Healthcare — the metric that matters is the empty chair
95% right-provider matchNo-Show Reduction & Reschedule and Multi-Provider Practice Smart Scheduling point at the same economics: an unfilled slot is 100% margin loss for that hour, no partial credit. Coordination of Benefits (COB) Update Request (85% resolved within 10 days) is a revenue-cycle use case wearing a "patient engagement" label — a claim held for missing COB information is money already earned but not yet collected.
Caregiver/Family Member Communication Coordination is a pure consent-tracking use case — the metric is about not violating a patient's stated preferences, not about growth.
Hospitality — the only genuinely balanced portfolio
99.5% on-time wake-up callsHospitality is the one page where support (17), retain (11), and convert (10) are all represented in similar volume rather than one type dominating — a hotel's economics depend equally on filling rooms (Wedding/Event Enquiry Triage & Site-Visit Booking, 95% answered within an hour), keeping the rooms it's already sold (Wake-up Call & Departure Reminder), and getting the guest to book directly next time (Post-Stay Review Recovery). Group Attrition Deadline Reminder quotes 100% completion, because a missed attrition deadline is a contractually quantifiable revenue loss.
Professional services — intake is the whole game
100% conflict-screenedNew Matter Intake & Conflict Check (100% of new matters screened before consultation) is the single use case that most determines whether the rest of the portfolio even matters — a firm that takes on a conflicted matter has a problem no downstream automation fixes. Referral Source Attribution & Thank-You (90% correctly attributed) is a quieter but real revenue driver most firms still track by memory.
Real estate — speed matters less than the narrative suggests
<60s to first contactThe popular narrative ("first agent to respond wins the lead") gets a correction from the actual data: Instant Property Lead → Viewing is real, but it's one of only 5 capture-type outcomes out of 55. The larger share (23) is support — Routine Property Inspection Scheduling (100% scheduled with proper legal notice), Tenant Complaint & Dispute Mediation Intake — which matter for a property manager running a lettings book, not an agent chasing one hot lead.
Tourism — the concierge, not the booking, is where most outcomes live
20 of 57 = Concierge20 of tourism's 57 outcomes sit in the "Concierge" category — Traveler Health & Vaccination Guidance (sent within 24h of booking), 24/7 In-Trip Emergency Line — a genuinely different shape of value than "recover an abandoned booking." A tour operator's liability exposure during an in-trip emergency is real, and a correctly triaged call has a value that has nothing to do with conversion rate.
Three kinds of outcome, not one
Reading across all 461 cards, the quoted metrics split cleanly into three categories a buyer should evaluate very differently.
Recovered revenue
Money already earned or nearly won that would otherwise be lost to a process gap: a declined card, a core deposit, a payment plan, an abandoned cart. The easiest to put a dollar figure on, since the baseline is directly observable.
Cost avoidance / capacity absorption
The "support" category that dominates every industry. The value is a human hour not spent on a routine question — real money, but it shows up as lower headcount need, not a line on the revenue statement.
Risk & compliance completion
Concentrated in financial services and healthcare, where a "100%" metric describes a regulatory or consent obligation met, not a sale made. Best measured in avoided exposure — it's insurance, not upside.
Any business evaluating this kind of system should ask which bucket a given "outcome" actually falls into before believing the number attached to it. A 34% lift in "calls recovered" is close to a straight revenue claim. A 100% "disclosures delivered on time" is a compliance guarantee. Both are valuable — but only one belongs on a revenue forecast.
The operational takeaway
The consistent structure across all eight pages — same five attributes, same seven verbs, same three funnel stages — suggests something practical: don't start by asking "what can AI automate here?" Start by pulling your own version of this table — every recurring customer interaction, tagged by funnel stage and by whether its value is recovered revenue, avoided cost, or avoided risk.
| Interaction | Funnel stage | Value type | Estimated impact |
|---|---|---|---|
The specific use case that pays for itself fastest is rarely the flashiest one — an AI concierge that speaks 40 languages. It's usually the boring one buried in the "support" column: the failed payment, the missed recall, the unfilled slot — that was quietly costing money every day before anyone put a number on it.
Frequently asked questions
What are Mihu AI's 461 industry outcomes?
Named, narrow automations listed across Mihu AI's 8 industry solution pages (automotive, e-commerce, financial services, healthcare, hospitality, professional services, real estate, tourism), each with its own channel mix, funnel stage, and operation type.
What's the difference between recovered revenue and cost avoidance?
Recovered revenue is money already earned or nearly won that a process gap would otherwise lose. Cost avoidance is a human hour saved on routine volume — real value, but it shows up as lower headcount need, not a new dollar of revenue.
Why does support dominate every industry's outcome list?
Because most day-to-day automation opportunity is in absorbing routine volume, not generating new leads. Support is the largest single operation type in all 8 industries reviewed.
Are the compliance-related outcomes actually revenue drivers?
No — outcomes like disclosure delivery or consent management are audit-trail metrics. Their value is avoided regulatory exposure, not new revenue, even though they're listed alongside commercial outcomes.
How is each outcome's operation type decided?
Every outcome is tagged with one of seven operation verbs — capture, convert, book, recover, retain, campaigns, support — based on what it actually does in the funnel, not how it's marketed.
See the outcomes for your own industry
Browse all 461 outcomes across 8 industries, filter by funnel stage and operation type, and find the exact one that plugs the leak you already know you have.
Explore the Solutions catalog 8 industries · 461 outcomes · updated regularly