Operational maturity: use cases, trust and return on investment
Use cases und ROI: That's how practice looks like
Here you will find the practical implementation of voice AI based on Overmind’s 4C Framework. Use cases + governance + KPIs and ROI: we prioritise the greatest leverage and deliver measurable impact.
1
Value Score
Time/investment/revenue leverage
Example: 8/10
2
Data Readiness
Sources, KPI-definitions, quality
Example: 6/10
3
Control Readiness Score
PII, Write-Actions, Audit-Requests
Example: 9/10
4
Adoption Fit
Hands-free, process frequency, users
Example: 10/10
Use cases with leverage
Select the most profitable processes
We don’t look at ‘nice to have’. We prioritise where decisions get stuck today, where coordination eats up time and where execution stalls. Our Voice AI Lex is a specialist in Voice AI processes. Talk to him.
Martin Rath, Independent Consultant for Renewable Energy Providers
Voice AI is not just innovation – it is indispensable for renewable energy providers who want to engage in real-time dialogue with data, optimise processes and actively accelerate the energy transition.
Less typing, more results
Made for you from practical experience
Use cases with leverage
Let’s consider together where voice AI really makes sense in your company – in human resources, customer service or operations.
Leadership
Collect updates, document decisions, assign tasks – without ping-pong.
Meeting summary → Tasks · Status check-ins · Decision-maker briefings
Hans Lercher, Professor, Entrepreneur
Overmind.one supports European companies in becoming the most innovative and sought-after in the world. With diligence, critical reflection, creativity, courage and commitment. The Voice Operating Layer is closely linked to my understanding of innovation.
Customers
Triage enquiries, coordinate callbacks, stabilise SLAs – with clear context.
Create case · Set priority · Suggest deadline · Escalate
Operations
Start tickets, incidents and escalations – in a structured, fast and traceable manner.
Incident triage · Launch task force · Set update frequency
Try out more Signature demos
Further signature demos – Voice AI that acts
Have you experienced with Felix how Voice AI turns speech into a controlled tool action – with confirmation, evidence and protocol? Next, try our other signature demos (120 seconds each) – each with a unique focus:
Thomas Hofstätter, Managing Partner at MHT Vertriebsdienstleistungen
Sales thrives on people and coordinated processes.
Overmind’s Voice AI helps us and our customers engage in dialogue with data, thereby minimising friction losses and enabling better sales decisions.
Service: Naledi talks about voice AI in South Africa
Naledi represents the younger generation, who do not view technology as something foreign, but rather as a natural part of everyday life. With her strong communication skills, she is South Africa.
Food: Mike has all the information about Red Bull.
Mike knows everything there is to know about Red Bull – from ingredients and flavours to sponsorship and the latest events. Want to know where to buy your next can? Mike will tell you.
Education: Luna is the voice of the university
Voice AI Luna conveys the voice of educational institutions like no other. It conveys content, motivates students to pursue education, and shows them how to take the first steps towards a successful future.
Try out more Signature demos
European retail giant: The inner voice
A large European retail chain has introduced its ‘inner voice’ to enable employees to advise their customers even better. The bot speaks several languages and makes internal knowledge accessible via a user-friendly search mask in the branches, which makes it easier to train new colleagues.
Companies in air conditioning technology – digitising and accessing knowledge.
When technical knowledge learns to speak to you
Voice AI gives service technicians voice access to the entire digitised company knowledge base at any time, enabling them to solve problems faster, make fewer mistakes, reduce unnecessary trips and thus increase efficiency and customer satisfaction.
60%
time saved for communication regarding technical queries
Products that learn to speak
Customers speak with your products
Help your customers solve their problems at the point of sale (POS). What could be better than voice AI with perfect social coding!
8%
higher revenue
Voice AI First: It pays off
ROI that can be explained
KPIs and Return On Investment
We don’t measure ‘AI magic’, but rather friction in operations – and systematically reduce it.
Cycle time
Significantly faster from trigger (request/meeting/incident) to execution (ticket/task/approval).
60%
faster processes
Ragna Goreishi, Ex-IBM, Ex-Microsoft
When someone leaves your company, you don’t just lose a teammate. You also lose their shortcuts, their ‘unwritten rules,’ their problem-solving tricks that keep projects running smoothly.
Voice AI is becoming a game changer and a sustainable knowledge transformer in this area.
First-time-right
Less rework because context is immediately queried, confirmed and documented in a structured manner.
20%
more solutions on the first attempt
Waiting time
Start tickets, incidents and escalations – in a structured, fast and traceable manner.
30%
reduced waiting time
Tool hopping
Less time wasted switching between tools, tabs, channels and people.
30%
time saving
Loss of knowledge
Knowledge is converted from discussions into reusable standards (with review).
40%
more knowledge after 2 years
Risk costs
Lower costs through confirmation, roles, logging and traceable actions.
15%
Less Compliance Costs
Case Study: Air-conditioner company
The company understood, that their service technicians often had questions when serving customers at their places.
Such calls would be directed to the managers and caused bottlenecks very often, although the provided knowledge never was “rocket science).
The company faced 150 of such calls each month which added to 3.000 minutes in average, blocking managers from doing their daily work.
The implementation of Voice-AI aimed to change this situation drastically. After managing the existing knowledge bases and personal notes of technicians and managers, the project was startet.
The result: The monthly amount of 150 calls were reduced to a mere 10, saving 47 hours for the managers and reducing stress and discomfort.
