Knowledge that speaks with you. And thinks with you.
Backed by evidence, not made up.
Voice Intelligence asks follow-up questions when something is unclear, examines objections and talks through options with you – citing sources and drawing exclusively on your approved company knowledge. You decide faster. And everyone can follow the reasoning.
Knowledge that speaks with you. And thinks with you.
Backed by evidence, not made up.
Voice Intelligence asks follow-up questions when something is unclear, examines objections and talks through options with you – citing sources and drawing exclusively on your approved company knowledge. You decide faster. And everyone can follow the reasoning.
Downtime, lengthy onboarding and the same customer questions cost money. Voice Intelligence brings your knowledge to where it is needed – through a QR code and a conversation.
Access, data location and requirements are agreed for your project. How it is built
Social CodingWhat sets us apart
The right questions bring knowledge back to mind.
With Social Coding, we shape Voice Intelligence to ask the right questions in the context of your business. This brings existing knowledge back to mind and makes it available to others.
Seven ways to use Voice Intelligence. Open a solution to learn more.
01Handle customer questionsAnswer recurring questions and pass on requests.TalkToCustomers
TalkToCustomers answers recurring questions from approved sources. It recognises the limits of its knowledge, asks for missing details and hands open issues to the responsible team.
How to get started
Start with one information area, approved sources and one channel.
The entry point is a pilot. Solution concept; scope and availability are agreed per project.
Resolve customer questions. Hand over the rest cleanly.
Approved sources. Clean handovers.
View example
What you gain Recurring questions answered. Your team focuses on the cases that need people. Handovers with every detail. Whoever takes over does not have to ask again. Measured by work done. Confirmed resolutions and correct handovers, not call minutes.
A service request
“I need service for the air conditioning in my living room.”
Understand. Ask. Hand over.
Answers from approved sources. Missing details are asked for.
A qualified next step
Resolved, or handed to your team with every detail.
02Find company knowledgeGet answers from approved sources.TalkToKnowledge
Ask a work question in natural language. Get answers grounded in approved company sources, see the source and version, and flag what is still missing.
How to get started
Start with one team, one work task and approved sources.
The entry point is the Knowledge Check on your own documents. Sources, access and scope are agreed.
Find the answer. See the source. Keep work moving.
Approved sources. Traceable answers.
View example
What you gain Answers with evidence. Every answer names its source and version, so your team can check it. Less searching and asking around. Measured in the pilot: search time and questions to experts. Gaps become visible. Open questions reach the owner and improve the knowledge.
A question at work
“Which process applies here, and where is it documented?”
Ask. Find. Understand.
Check the relevant source and version. Respect the team’s access rights.
An informed next step
An answer with a source to check. Open questions reach the owner.
03Explain productsCompare products and find the right variant.TalkToProduct
Customers ask in their own words. TalkToProduct explains products, compares variants and prepares the next step. Answers come from approved product information.
How to get started
Start with one product line, approved product data and one channel.
The entry point is a pilot. You can try two examples on the In practice page.
Let your products explain themselves. In your brand’s voice.
Approved product information. Your brand’s voice.
View example
What you gain Advice with reasons. Customers learn why a model fits, not just its specifications. Qualified enquiries. Your team receives what is already clear: need, model, open questions. One voice for your brand. Tone and wording are agreed; subject-matter limits stay in place.
A product question
“Which model fits me, and why this one?”
Explain. Compare. Qualify.
Answers from approved product data. Open questions reach your team.
A qualified next step
A clear recommendation, a lead or a service request.
04Understand business dataCompare metrics and examine relationships.TalkToData
Explore what changed, compare patterns and question why. TalkToData connects verified calculations with context, making evidence, assumptions and limits clear.
How to get started
Start with one business question and one agreed dataset.
The entry point is a data workshop on business questions, data inventory and metrics. We then agree consulting and integration with a clear scope.
What you gain Think through scenarios. Which assumption changes the picture? Assumptions stay labelled as assumptions. The why behind the number. Segments and time periods are compared to show what actually changed. Discuss on evidence. Every figure comes from a verified query, with period, calculation and source.
A business question
“Revenue fell. What changed, and what should we investigate?”
Compare. Question. Explain.
Check segments and time periods. Separate evidence from hypotheses.
A reasoned next step
What the data supports. What to investigate next.
05Preserve knowledge from experienceCapture experience in conversation and have your team review it.TalkToExpert
TalkToExpert captures unwritten know-how in guided conversations. It turns it into structured drafts that your team reviews before they enter your knowledge system.
How to get started
Start with one topic, a few experts and a real knowledge gap.
The entry point is a pilot. Solution concept; scope and review are agreed per project.
What you gain Knowledge stays in the company. Even when experienced people leave or shifts change. Onboarding with practical know-how. New colleagues learn from reviewed cases instead of word of mouth. Reviewed and versioned. Only approved content enters the knowledge base, and every version is traceable.
Know-how in one mind
“The manual doesn’t cover what I do in this case.”
Interview. Structure. Review.
Guided questions capture context. Your team reviews the draft.
Knowledge in your system
Approved guidance for answers, onboarding and everyday work.
06Practice conversationsPractice sales and service conversations with AI.TalkToTrain
Practise difficult customer conversations with AI. Get specific feedback and try again before the real call.
How to get started
Start with one team and three real scenarios.
The entry point is a scenario workshop with a training partner. Pilot concept; scope agreed per project.
What you gain Practise without an audience. As often as needed, with no customer on the other end. Feedback to your standards. Assessed against your training rules, not generic tips. Real moments from your work. Practise the objections and questions your team actually hears.
A difficult moment
“That sounds too expensive.”
Practise. Learn. Repeat.
Voice role-play with useful feedback.
Ready for the next call
Respond with clarity and confidence.
07Manage workflows by voicePrepare tasks and carry them out after confirmation.TalkToProcess
Describe the task and confirm the details. TalkToProcess checks permissions and reports what actually happened in your system.
How to get started
Start with one low-risk action, one role and one system.
The entry point is a pilot for a later expansion. Solution concept; availability and scope agreed per project.
What you gain Input by voice. When hands are busy, the task still gets started. Nothing without your confirmation. Execution only starts once you have confirmed the details. You see what happened. The status in the target system is reported, not just an intention.
A spoken request
“Create a materials request for job 4711.”
Check. Confirm. Execute.
Details and permissions checked. You confirm before execution.
A traceable result
Draft created in your system. The existing approval process continues.
We agree on scope and availability for each project.
What one person knows helps everyone move forward.
Valuable knowledge is created in your company every day. Voice Intelligence can make this knowledge accessible to everyone.
Everyone has some facts. No one has the full picture.
Voice Intelligence connects data, processes and experience to create a shared understanding of the situation. Backed by evidence. Spoken, in our language. Right when we need to decide.
AI-generated illustrations
Business question
Can we deliver on Friday?
A firm promise needs verified facts and the details of the specific order.
AI-generated illustrations
Verified fact
The material is in stock.
The statement is verified. Its source and data snapshot remain visible.
Source: Stock record
As of: Available data snapshot
AI-generated illustrations
Order context
Conversation adds context.
Voice asks. The person adds context: the full quantity, firmly due by Friday.
Voice: What quantity is needed?
Person: The full order quantity by Friday.
Voice: Is partial delivery possible?
Person: Only in full, with a firm delivery date.
AI-generated illustrations
Verified and open
Separate facts and open points.
Verified: some stock is reserved. Order approval is still open.
Stock record · Verified Material is in stock
Reservations · Verified Some stock already allocated
Order · Open Approval pending
AI-generated illustrations
Possible next steps
Options with prerequisites.
Clarify the reservation or check an alternative. Each option has prerequisites.
Clarify reservation Prerequisite: Responsible people must check allocation.
Check alternative Prerequisite: Quantity and date must fit the order.
AI-generated illustrations
Human judgment
The person chooses the next step.
Before a firm promise, the team checks the reservation and order approval.
Loading image …
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Illustrative scenario: assess a delivery by Friday. Establish the stock facts, clarify the requirement through conversation, consider reservations and an outstanding release, then compare options. A person checks and confirms before any commitment is made.VOP Follow-up questions, context and approved sources make knowledge easier to understand through conversation. The goal: less searching and rework. 01 Clarify the need Follow-up questions clarify the task and missing details. 02 Put knowledge in context Evidence, assumptions and open questions remain visible. 03 Clarify the next step Talk through the options together. Your team decides.
Downtime, lengthy onboarding and the same customer questions cost money. Voice Intelligence brings your knowledge to where it is needed – through a QR code and a conversation.
Industry & maintenance
Machine stopped. Costs running.
Illustrative scene
Less searching. Back to work sooner.
A scan at the machine opens access to your approved documents. Your team asks about faults, maintenance or the next step. Voice Intelligence answers in conversation. Your team decides what happens at the machine.
The financial value: paid search and waiting time can become productive working time again.
Before experienced staff leave, they explain what matters. Voice Intelligence asks follow-up questions and captures the knowledge. Your team checks it. New colleagues can ask about it at their workplace.
The financial value: less onboarding effort and less work that has to be done all over again.
Less routine on the phone. More time for customers.
The QR code on the product opens access to your product knowledge. Customers ask about operation, care or a fault. Voice Intelligence explains and asks follow-up questions. Your team steps in when needed.
The financial value: less time on standard questions and fewer callbacks for missing details.
Ask a question about revenue, products or regions. Felix talks with you about data from a fictional watch manufacturer.
Enable Voice in the privacy settings to talk to Felix.
Felix
Ask me your first question.
Conversation tips
You can interrupt Felix at any time. If he misses something, repeat your question.
Felix is an AI system. His answers are AI-generated. The business data in this demo is fictional.
TalkToData
One question is all it takes.
Your opening question
Use this question to start the conversation. Ask Felix in your own words.
THE STRUCTURE BEHIND IT
The foundation for Voice Intelligence.
Voice Intelligence makes your company’s knowledge usable in conversation. Its foundation is the Voice Operating Layer (VOP). It connects the building blocks needed for answers to draw on approved knowledge and for new experience to feed back after human review and approval.
With Social Coding, we shape Voice Intelligence to ask the right questions in the context of your business. This brings existing knowledge back to mind and makes it available to others.
Seven ways to use Voice Intelligence. Open a solution to learn more.
01Handle customer questionsAnswer recurring questions and pass on requests.TalkToCustomers
TalkToCustomers answers recurring questions from approved sources. It recognises the limits of its knowledge, asks for missing details and hands open issues to the responsible team.
How to get started
Start with one information area, approved sources and one channel.
The entry point is a pilot. Solution concept; scope and availability are agreed per project.
Resolve customer questions. Hand over the rest cleanly.
Approved sources. Clean handovers.
View example
What you gain Recurring questions answered. Your team focuses on the cases that need people. Handovers with every detail. Whoever takes over does not have to ask again. Measured by work done. Confirmed resolutions and correct handovers, not call minutes.
A service request
“I need service for the air conditioning in my living room.”
Understand. Ask. Hand over.
Answers from approved sources. Missing details are asked for.
A qualified next step
Resolved, or handed to your team with every detail.
02Find company knowledgeGet answers from approved sources.TalkToKnowledge
Ask a work question in natural language. Get answers grounded in approved company sources, see the source and version, and flag what is still missing.
How to get started
Start with one team, one work task and approved sources.
The entry point is the Knowledge Check on your own documents. Sources, access and scope are agreed.
Find the answer. See the source. Keep work moving.
Approved sources. Traceable answers.
View example
What you gain Answers with evidence. Every answer names its source and version, so your team can check it. Less searching and asking around. Measured in the pilot: search time and questions to experts. Gaps become visible. Open questions reach the owner and improve the knowledge.
A question at work
“Which process applies here, and where is it documented?”
Ask. Find. Understand.
Check the relevant source and version. Respect the team’s access rights.
An informed next step
An answer with a source to check. Open questions reach the owner.
03Explain productsCompare products and find the right variant.TalkToProduct
Customers ask in their own words. TalkToProduct explains products, compares variants and prepares the next step. Answers come from approved product information.
How to get started
Start with one product line, approved product data and one channel.
The entry point is a pilot. You can try two examples on the In practice page.
Let your products explain themselves. In your brand’s voice.
Approved product information. Your brand’s voice.
View example
What you gain Advice with reasons. Customers learn why a model fits, not just its specifications. Qualified enquiries. Your team receives what is already clear: need, model, open questions. One voice for your brand. Tone and wording are agreed; subject-matter limits stay in place.
A product question
“Which model fits me, and why this one?”
Explain. Compare. Qualify.
Answers from approved product data. Open questions reach your team.
A qualified next step
A clear recommendation, a lead or a service request.
04Understand business dataCompare metrics and examine relationships.TalkToData
Explore what changed, compare patterns and question why. TalkToData connects verified calculations with context, making evidence, assumptions and limits clear.
How to get started
Start with one business question and one agreed dataset.
The entry point is a data workshop on business questions, data inventory and metrics. We then agree consulting and integration with a clear scope.
What you gain Think through scenarios. Which assumption changes the picture? Assumptions stay labelled as assumptions. The why behind the number. Segments and time periods are compared to show what actually changed. Discuss on evidence. Every figure comes from a verified query, with period, calculation and source.
A business question
“Revenue fell. What changed, and what should we investigate?”
Compare. Question. Explain.
Check segments and time periods. Separate evidence from hypotheses.
A reasoned next step
What the data supports. What to investigate next.
05Preserve knowledge from experienceCapture experience in conversation and have your team review it.TalkToExpert
TalkToExpert captures unwritten know-how in guided conversations. It turns it into structured drafts that your team reviews before they enter your knowledge system.
How to get started
Start with one topic, a few experts and a real knowledge gap.
The entry point is a pilot. Solution concept; scope and review are agreed per project.
What you gain Knowledge stays in the company. Even when experienced people leave or shifts change. Onboarding with practical know-how. New colleagues learn from reviewed cases instead of word of mouth. Reviewed and versioned. Only approved content enters the knowledge base, and every version is traceable.
Know-how in one mind
“The manual doesn’t cover what I do in this case.”
Interview. Structure. Review.
Guided questions capture context. Your team reviews the draft.
Knowledge in your system
Approved guidance for answers, onboarding and everyday work.
06Practice conversationsPractice sales and service conversations with AI.TalkToTrain
Practise difficult customer conversations with AI. Get specific feedback and try again before the real call.
How to get started
Start with one team and three real scenarios.
The entry point is a scenario workshop with a training partner. Pilot concept; scope agreed per project.
What you gain Practise without an audience. As often as needed, with no customer on the other end. Feedback to your standards. Assessed against your training rules, not generic tips. Real moments from your work. Practise the objections and questions your team actually hears.
A difficult moment
“That sounds too expensive.”
Practise. Learn. Repeat.
Voice role-play with useful feedback.
Ready for the next call
Respond with clarity and confidence.
07Manage workflows by voicePrepare tasks and carry them out after confirmation.TalkToProcess
Describe the task and confirm the details. TalkToProcess checks permissions and reports what actually happened in your system.
How to get started
Start with one low-risk action, one role and one system.
The entry point is a pilot for a later expansion. Solution concept; availability and scope agreed per project.
What you gain Input by voice. When hands are busy, the task still gets started. Nothing without your confirmation. Execution only starts once you have confirmed the details. You see what happened. The status in the target system is reported, not just an intention.
A spoken request
“Create a materials request for job 4711.”
Check. Confirm. Execute.
Details and permissions checked. You confirm before execution.
A traceable result
Draft created in your system. The existing approval process continues.
We agree on scope and availability for each project.
Control
People decide.
Autonomy applies only within explicit, auditable guardrails. Your organisation keeps decision-making authority and technical responsibility.
Approval. People approve knowledge, not the AI.
Source. Answers rely on your evidence.
Version. Every knowledge state is traceable.
Permission. Access is time-limited and revocable.
Handover. Limits and owners are set in the project.
Test Voice Intelligence on a specific process in your company. We measure time saved, rework and quality, then weigh the benefits against the costs. You find out whether using it pays off for you, and under which conditions.
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Illustrative scenario1 / 6
Agree One team. One task. One measure. Together, we define the task, record the baseline and agree the measurement period and quality criteria before the pilot begins. Scope and measurement plan agreed. Participants agree what counts as completed work, which cases are comparable and which countermetrics protect quality. Expected benefits remain assumptions until the evidence is reviewed. Prepare Make the conditions clear. Experts and IT check sources, versions, access and workplace conditions. Responsibilities, dialogue and channels are agreed with the team. Approved sources. Named owners. Authoritative sources, gaps and responsibilities are clarified. Channels, devices, language and dialogue fit the work moment. Permissions, support and the way back to the existing process are agreed. Test Test before everyday use. Your team tests typical questions, knowledge gaps and edge cases. Responsible people authorise the start after the agreed tests. A tested start. Clear limits. Scripted tests cover normal cases, missing or conflicting knowledge, permissions and necessary handovers. A test does not publish guest access. Responsible people explicitly approve the agreed start. Trial Try it in real work. The pilot group handles real tasks through dialogue. Sources and open points stay visible. Agreed handover and stop rules apply. Real tasks. Traceable clarifications. A representative pilot group uses the bounded, approved application under agreed conditions. Participants ask questions, add context and pass open points to the named people. Support and the fallback process remain available. Evaluate Compare impact and effort. Comparable cases show time, rework and quality. Project, review, upkeep and operation count too. Time gained creates capacity, not automatic cost savings. Verified impact. Full effort. Baseline and pilot are compared using similar tasks, allowing for differences in case mix and conditions. Experts check supporting sources and handovers. Rework is not counted twice. Implementation, use, control and knowledge upkeep determine total effort and cost. Only traceable, attributable effects count; unknown values stay open. A quick answer is not yet a completed task. Decide Decide with evidence. Together, we review results and open questions. You choose: end, adapt or expand. Expansion requires a newly agreed scope. A decision grounded in evidence. The customer decides against the agreed criteria. Ending or making targeted changes are as valid as expansion. Further teams, sites, sources, languages or actions require a new scope; responsibility, support and upkeep must be in place.Time spent Searching, follow-up questions, onboarding. Rework Processing and corrections. Quality Validated clarifications and handovers.
Calculator results are estimates. Time saved does not automatically mean money saved.
How we measure
We agree on baseline values, the time period and quality criteria in advance. We only include reductions in downtime that can be demonstrably attributed to Overmind.
What partners say
Perspectives on Overmind.
“Less friction in processes – that is the difference Overmind makes. Ideal for the German Mittelstand.”
Translated from German.
Jan Zimon
CEO Consulting
“The partnership with Overmind is a real turning point. Their AI and process expertise has opened up new opportunities for us in the market.”
Translated from German.
Niki Kimla
CEO Pipelinersales
“Clear rules ensure that Overmind’s voice AI is trustworthy, scalable and effective, and that it delivers consistent added value.”
Translated from German.
Dr. Ansgar Pabst
CEO ThinkDisruption
The portraits show the people quoted.
Your first step into Voice Intelligence
Bring your knowledgeinto the conversation.
Are your staff searching, explaining the same things or learning old lessons again? Start with the task that costs the most time and money today.
Social CodingWhat sets us apart
The right questions
bring knowledge back to mind.
With Social Coding, we shape Voice Intelligence to ask the right questions in the context of your business. This brings existing knowledge back to mind and makes it available to others.
Social Coding in practice ↗