01
Orientation instead of tool overload
We clarify which problem you want to solve, which information is available and whether AI is the right choice at all.
- Clarify goal and value
- Review existing data and systems
- Recommend a realistic next step
KI-generiertP.B. / AI solutions
AI solutions for tasks that take unnecessary time today.
Where does your team lose time every day – with calls, emails, finding information or recurring coordination? Together, we assess whether AI genuinely helps at that point. If it does, we start with a focused pilot that fits your systems, workflows and the people responsible.
Personal AI consulting for businesses in Landshut, Lower Bavaria and the surrounding region.
01Opportunity check02Process analysis03Pilot04Enablement
P.B. / Haltung
Not every process needs AI. But some tasks do not need to be done by hand every day.
We therefore do not start with a tool, but with your actual workflow: where is time lost? What information is already available? And where does a person still need to decide? Only then do we choose a suitable technical solution.
- Relevant use cases instead of tool hype
- Clear value before technical complexity
- Step-by-step adoption that fits your business
Service modules
From the first question to a controlled AI process.
02
Choose the right process
Together, we break down the current workflow and identify the use case with the best balance of value, effort and risk.
- Map the current workflow
- Identify bottlenecks
- Select a suitable pilot
03
Implement a focused pilot
We set up the selected solution, connect the necessary systems and test it with real use cases from your business.
- Set up tools and interfaces
- Define handovers to employees
- Review results in daily work
04
Train teams and define rules
Your employees learn what the solution can take on, where its limits lie and which information needs particular protection.
- Practical training
- Clear responsibilities
- Human review and approval steps
P.B. / Regional and close to daily operations
AI consulting for businesses in Landshut and Lower Bavaria.
We work with companies that want to use AI as practical support for everyday workflows, not as an abstract trend. We start with actual work, the information already available and the people who will use the solution.
- Joint opportunity assessment on site or remotely
- Focused, understandable pilots instead of broad tool promises
- Adoption with clear roles, human approvals and training
Anonymised practice cases
Two concrete practice cases for mid-sized businesses.
The following cases are anonymised. They show the initial situation, the intended solution and the decisions that remain with the team.
Availability
AI phone assistant for a mid-sized company
An AI call assistant receives requests, asks structuring questions and provides a traceable handover to the right person.
Starting point: Around 700 calls per month go unanswered. This causes customer dissatisfaction and can cost orders when requests cannot be placed in time.
Solution & control: The assistant captures a caller’s request, classifies it against defined criteria and sends the information by email to the appropriate colleague or department. Callbacks, assessments and binding communication remain with the team.
Target outcome: safeguard availability and prioritise callbacks using complete, correctly assigned information.
Sales
Web-based AI sales tool for a mid-sized company
A browser-based tool monitors public tenders, makes relevant documents accessible and prepares assessments for the internal sales team.
Starting point: There is no active sales function and new customers are missing. Public tenders exist, but identifying their relevance without structured pre-screening is time-consuming.
Solution & control: The tool searches public tenders, analyses tender documents and assesses them against a defined equipment profile. The internal sales team sees relevant opportunities sooner and decides which tenders to process further.
Target outcome: identify relevant tenders early and prepare focused follow-up by the internal sales team, without automated bid or award decisions.
Typical use cases
Use AI where work is currently left waiting unnecessarily.
These examples show typical areas of application. We always assess which solution makes sense based on the actual process and available information.
Digital phone assistants
A digital phone assistant receives calls, asks for the key information and sends the request to the right place.
What costs time today: Calls arrive alongside daily work, callback information is incomplete or reaches the wrong contact.
What remains with the team: Personal advice, binding commitments and sensitive concerns.
Goal:Better availability without replacing personal contact.
AI assistants for sales and enquiries
The assistant gathers information from forms, emails or existing systems and prepares the next contact.
What costs time today: New enquiries first need to be reviewed, completed and assigned to the right offer.
What remains with the team: Assessment, prioritisation and the personal conversation with the prospective customer.
Goal:Better-prepared conversations instead of fully automated sales decisions.
Support for social media
AI gathers topics from existing content, structures an editorial plan and prepares first text drafts.
What costs time today: Expert knowledge, current topics and publication planning must repeatedly be brought together manually.
What remains with the team: Fact-checking, tone of voice, image selection and publication.
Goal:Regular communication without giving up editorial control.
Email and knowledge assistants
An assistant can pre-sort recurring emails, summarise documents and make information from internal knowledge sources easier to find.
What costs time today: Information is spread across inboxes, documents and different storage locations.
What remains with the team: Externally visible responses, sensitive content and final decisions.
Goal:Find information faster and prepare recurring enquiries more efficiently.
System types & interfaces
AI fits into a defined information flow.
The systems to be connected are reviewed separately for each pilot. Existing access, permissions, data quality and the most useful handover for your team are decisive.
Telephony & communication
For availability use cases, phone systems, SIP-based handovers, forwarding and business email inboxes can be integrated.
- Call capture and conversation protocol
- Classification against agreed criteria
- Email handover to team or department
Documents & public sources
For sales use cases, approved public tender sources as well as PDF, Office or web documents can be evaluated in a structured way.
- Public tender portals
- Document analysis and attribute extraction
- Matching against a defined profile
Business systems
Existing CRM, ERP, ticketing or knowledge systems are considered only when the interface, access rights and business responsibility are clear.
- CRM or ticket handovers
- Shared inboxes and task lists
- Approved knowledge sources
AI services & control
Language models, search and rule-based workflows are combined so that inputs, outputs and handover thresholds remain reviewable.
- Defined prompts and rules
- Traceable processing steps
- Thresholds for human review
How we work
Clear process. Controlled adoption.
Opportunity check
We understand objectives, teams and the process that should become easier.
Workshop
We clarify data flows, interfaces, risks, roles and a measurable target outcome.
Define the pilot
We shape a use case with clear boundaries, test data and success criteria.
Introduce & learn
We support use, review handovers and develop further based on experience.
Entry, workshop & pilot
A scope your team can oversee.
The following time frames are indicative. We define binding scope, required interfaces and a transparent proposal only once the target outcome and starting point are clear.
What you know after an AI opportunity check
Together, we look at one or two concrete workflows from your business. We clarify which task costs time today, which data and systems are affected and where human decisions must remain.
- Whether the process is generally suitable for AI
- Which information and interfaces are required
- Which risks and approvals need to be considered
- What a small pilot could look like
- How its success can be assessed
Typical: 60–90 minutes
AI opportunity check
A joint initial discussion about process, goal, existing systems and useful next steps. Afterwards, you receive a clear recommendation for a workshop, pilot or another suitable path.
Typical: half a day
Focused workshop
With the responsible functions, we specify the process, data sources, controls, measure of success and a clearly bounded pilot scope.
Typical: 4–8 weeks
Pilot project
A pilot focuses on one prioritised use case with a small number of clear handovers. Time and budget depend especially on data preparation, interfaces and hosting decisions.
Privacy, hosting & control
Technology needs clear accountability.
Before a pilot, we clarify which data may be processed, which systems are connected and when a person must take over or approve. The precise approach depends on the use case and your company’s requirements.
- Privacy: purpose, data categories, permissions and deletion periods are defined together in advance.
- Hosting: the processing location is documented transparently; we favour hosting options approved by you or suitable European alternatives.
- Human control: external responses, callbacks, bid decisions and sensitive cases remain with responsible employees.
- Traceability: rules, handovers and responsibilities are documented for the pilot operation.
More about Philipp
Direct contact
A direct contact instead of a changing project team.
From the first process conversation through to implementation, you work directly with Philipp Brunner. This keeps business requirements, technical decisions and your company’s objectives connected throughout.
FAQ
Frequently asked questions about AI solutions in business.
What does an AI agency do in practice?
An AI agency reviews existing workflows, identifies suitable use cases and supports technical implementation. This can range from a digital phone assistant to automated preparation of emails, documents or sales enquiries. The decisive factor is not the tool, but the task that becomes easier or more reliable as a result.
Which processes are suited for AI?
Recurring tasks with clear rules and sufficient available information are especially suitable. These include capturing enquiries, summarising documents, searching internal knowledge sources or preparing standardised communication. Processes involving far-reaching or sensitive decisions still require clear human control.
What happens in an AI opportunity check?
Together, we look at one concrete process, the roles involved, existing systems and the intended result. You receive an assessment of whether a workshop or focused pilot is worthwhile and what prerequisites are still missing.
Does a process need to be fully automated?
No. It is often more sensible to automate only selected steps. AI can collect and structure information or prepare a draft while employees review, decide and approve.
Can an AI solution be connected to existing systems?
That depends on the available interfaces and data access. During the opportunity check, we review the systems involved and whether a secure, technically sensible connection is possible.
Can AI be used in a privacy-compliant way?
That depends on the tools used, the data processed, the hosting and the specific workflows. This is why we consider privacy and access rights when selecting a use case. A legal review may also be required for sensitive applications.
What does an individual AI solution cost?
Costs depend on the process, the required interfaces and the scope of the pilot. After the opportunity analysis, the effort can be specified more precisely. A clearly defined pilot scope already provides guidance on scope and budget before implementation.
How long does a pilot project take?
For a clearly bounded use case, we typically plan four to eight weeks. The exact time and cost frame depends mainly on data preparation, interfaces, testing scope and hosting decisions, and is agreed transparently before work begins.
First step
Start with an AI opportunity check.
Briefly describe which process should become easier. We will get in touch for an initial AI opportunity check and explore whether a workshop or focused pilot is the right next step.
For businesses in Landshut, Lower Bavaria, Munich and the surrounding region.