TEQMINDS builds a modular platform that we configure to each customer’s processes: it connects your existing systems, automates recurring tasks and provides an AI assistant whose interface adapts to the task at hand – without replacing everything you already run.
We do not roll out yet another piece of software – we make the software you already have smarter. The basis is a modular platform: together we pick the building blocks that match your processes, and we set them up around them.
Your existing systems and specialist software stay in place. We connect them through our modular platform – no rip and replace, no new software rollout.
AI classifies, prioritises and prepares – your team decides and acts. No black box, but transparent collaboration between people and technology.
Recurring tasks run automatically – from intake processing to job dispatch, configurable without programming. More impact with the same team size, less routine work.
Modular architectures that grow with your company – instead of monoliths that are hard to move away from.
We build and operate the platform – you use it in your configuration. No installation, low maintenance effort. The data model is aligned with GDPR requirements.
Every company is different. We analyse your processes, identify automation potential and support you from strategy through to day-to-day operation.
TEQMINDS is neither off-the-shelf software nor a project that starts from zero. A shared platform core carries every customer solution – on top of it we activate and configure exactly the modules that match your processes.
Included in every configuration
Connecting your specialist software, mailboxes, portals and data sources – so information arrives where it is needed.
Incoming emails, forms and receipts are captured, read out and structured – as the groundwork for every further step.
Processes are configured rather than coded: rules, responsibilities, escalations and approval steps can all be adjusted.
Classifying, prioritising, summarising and preparing suggestions – with reasoning, so your team keeps the decision.
Controls are generated for the task: forms, lists, comparisons and approvals instead of a bare chat input.
Internal policies, contracts and manuals become findable. External reference sources can be added through interfaces.
Workload, processing status and history become visible. Every automated step stays logged.
Alerts, reminders and status updates run through the channels your team and your customers already use.
Which modules make sense follows from your processes – not from a fixed package.
Rules, fields, roles and processes are set up. Individual extensions remain possible, but they are not the starting point.
You start with a manageable scope. Further modules can be added as your needs change.
A chat window is rarely the best interface for a specialist task. That is why we put particular emphasis on user experience: our assistant dynamically generates the controls that fit the task at hand – instead of answering everything in a text box.
You
“Please take a look at the new damage report and do something sensible with it.”
Assistant
A long paragraph of prose in which assessment, follow-up questions and suggested actions are all mixed together …
Case
Water damage · Property 14, flat 3
Illustration of the interaction concept; the actual interface depends on the respective configuration.
Whatever the task needs is generated for it: a form with pre-filled fields, a table for reconciliation, a comparison, a map, an approval dialogue.
Accounting, property management and leadership see the same platform in the view that belongs to their task – not the same empty input line.
Suggestions arrive ready to use: review, adjust, confirm. Nobody has to learn how to prompt an AI “correctly”.
Where a piece of information comes from and how confident the classification is appears where the decision is made – not in a separate log.
In the design we pay attention to readability, keyboard operation and mobile usability – so the assistant is actually used in everyday work rather than merely looking impressive.
For us, sustainable means long-lived, efficient and built on what already works – instead of throwing things away and buying new ones.
Which systems do you use today? Where do media breaks, duplicated work or manual routines occur? We map your processes.
Your existing tools are connected through one central platform. Data flows automatically between systems – without copy and paste.
Recurring tasks are taken over by workflows and AI. Classification, routing, notifications – automatically.
We look after the platform, add new integrations and adapt workflows when your requirements change.
Where our approach takes hold – and where the principle carries over to other industries.
Our approach in property management – connect, automate, work more intelligently.
Property managers work daily with tenant portals, email inboxes, damage management and accounting – usually with no connection between them. Our platform links these systems and lets AI take over the routine work.
Mailboxes, tenant portal, damage management, document management and CRM – everything is connected, nothing replaced.
Incoming requests are analysed and prioritised automatically – your team gives the go-ahead.
From the damage report to assigning a contractor – configurable, not hard-coded.
Incoming damage report
"Water damage in the bathroom – water is dripping from the ceiling."
AI analysis
Values and sequences are for illustration only; actual processing times may differ.
Wherever fragmented systems and manual processes meet, our principle applies: connect, automate, work more intelligently.
Jobs from various portals, manual scheduling, feedback by phone – all of it can be connected.
Receipts from dozens of sources, manual allocation, client communication across five channels – all automatable.
Documentation in separate systems, manual shift planning, fragmented communication with relatives.
ERP, shipping, customer service – all islands. Status checks by hand, processes not connected.
Alongside the platform we are building Shelfwire: a way to make specialist literature usable inside AI applications – according to the provider, citable down to the paragraph number and priced by the publisher.
“Reference books that can answer” – without training on the works and without copying them, but through cited retrieval. Publishers keep control over pricing, operators connect the catalogue via MCP server or REST API, and teams use a chat access.
For our platform this is more than a side project: wherever an AI assistant needs to draw on vetted reference sources, Shelfwire can be connected as a knowledge source through its interfaces – matching the “Knowledge & reference sources” module.
Make works AI-ready without giving up control: pricing authority on every retrieval, individually itemised retrievals, monthly payout.
Connection via MCP server or REST API, billing per retrieval, audit log – sourced answers instead of guesswork.
Chat access without a mandatory subscription – you use and pay for what you actually query.
Shelfwire is a separate offering at shelfwire.de. Scope of service, catalogue content and terms are governed solely by the information published there.
In a short conversation we work out where automation gives you the most leverage – and what can be achieved with the tools you already have.
Do you have questions? We are happy to help.