Zum Inhalt springen

Overmind · Voice Intelligence

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
  • Decisions
  • Action

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.

Reviewed and approved. Experience that lasts.

More fictional work moments: HVAC before the service visit and maintenance knowledge in wind turbine service – from the right manual to team experience that has been reviewed and approved.

Why Voice Intelligence?

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.

  1. Can we deliver on Friday? A delivery request needs verified stock data and the specific order context.
    AI-generated illustrations

    Business question

    Can we deliver on Friday?

    A firm promise needs verified facts and the details of the specific order.

1 / 6
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.

Lower everyday costs

Knowledge is missing.
The meter keeps running.

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.

Two specialists discuss a question directly beside an industrial machine.
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.

Experience & onboarding

Knowledge lost.
Costs rise.

An experienced specialist explains a component to a younger colleague in a workshop.
Illustrative scene

Keep the experience. Shorten onboarding.

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.

Customer service

Same questions.
New costs every time.

A customer uses her smartphone to ask about her air-conditioning unit.
Illustrative scene

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.

TALK TO FELIX

Data.
Let’s talk.

Try it out. Ask Felix.

Ask a question about revenue, products or regions. Felix talks with you about data from a fictional watch manufacturer.

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.

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.

VOP = Voice Operating Layer · KSE = Knowledge Structuring Engine

  • KSE

    Knowledge with source and version

  • Voice

    Conversation and flow

  • Frontend

    Interface for the conversation

  • TalkTo

    Control and approval

Social CodingWhat sets us apart

The right questions
bring knowledge back to mind.

AI-generated image: A technician in a company's plant room speaks with Voice Intelligence on his smartphone.

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
  1. Initial consultation
  2. Scoping Sprint
  3. Pilot
  4. Evaluation
  5. Roll-out

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.

Economic value put to the test

Start your pilot.
See what pays off.

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.

  1. One team. One task. One measure. Agree the work situation, baseline, time window and quality criteria before the pilot.
Illustrative scenario
1 / 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.

Discuss my first step

One example from your working day is enough.

Pilot project

Try it in practice.

Put Voice Intelligence to the test with one team and one clear task. Measure the benefits, then decide how to move forward.

Typically 8–12 weeks

Discuss a pilot project

Knowledge Check

Discover the potential.

Use your own documents to find out which answers can be supported by evidence and where knowledge is missing.

Your documents · A clear overview

Request a Knowledge Check

Workshop

Get started together.

Work with us to clarify your use case and next steps. Take away a tangible result you can use, even without a follow-on engagement.

A concrete task · A tangible result

Plan a workshop

You choose the task and sources. We agree scope and duration in advance.Illustrative scenes · No sound