Individual agents
Targeted information, precise decisions –
manageable complexity with AI agents
There is usually an agent behind tasks completing themselves. The agent reacts to processes and derives activities independently. Agents can conduct independent research and compile complex analyses of social networks, offers, etc. In companies, they answer support requests (or prepare them for human review), enrich leads with information, evaluate them, as well as analyze, transfer and supplement data transformations between systems, etc. Noticeably reduce your workload by cleverly automating routine tasks. Put your newfound free time to good use in times of a shortage in skilled labor.
An agent must act with information. It needs interfaces and access to your systems – just like the employee who previously had to complete the task manually. A customized agent is tailored precisely to your process and your environment – and can therefore provide powerful support.
“I build AI agents so that they really do something – not just sound nice. Less buzzword, more result”
Florian Deindörfer, expert for Azure AI services and customized agents
More than automation: Agents think along with you
If marketing finds campaign documents faster, then sales could prioritize customer enquiries in a targeted manner while HR could identify training requirements at an early stage – think how much more efficient your internal processes could be? Agents make this come true. They link information, recognize patterns and derive targeted measures – intelligently, adaptively and precisely.
Agents link data sources, recognize patterns and control processes in a targeted manner. In contrast to bots, which usually work based on rules, agents pursue independently defined goals. Using methods such as reinforcement learning (RL), they adapt deliberately – based on feedback and targeted training phases. Whether document search, creative brainstorming or process control – IPI develops individual agents that link your information, prioritize tasks and prepare your decisions. Customized and consistently aligned with the requirements of your company.
AI agents are therefore intelligent systems that not only process information but also analyze it in a targeted manner and act proactively. Using machine learning (ML) and natural language processing (NLP), they recognize patterns, understand contexts and derive specific measures from them.
How agents turn information into decisions
-
Machine learning:
Agents analyze data, recognize patterns and derive targeted measures – dynamically and autonomously. -
Natural language processing (NLP):
Not only understands what is being asked, but also recognizes the context. Information is correlated to provide relevant content in a targeted manner. -
Contextual reasoning:
Agents use contextual information in a targeted manner – such as user roles, historical data or metadata. This enables them to make situational and application-related decisions. -
Reinforcement learning:
Agents use targeted reward signals to optimize their decision-making processes – they test variants, evaluate the results and adapt their strategy accordingly. No rigid set of rules, but continuous adaptation through targeted feedback.
Bots follow rules - AI agents recognize patterns
Some of our sample solutions for customized AI agents
Provide relevant information in a targeted manner
Employees are confronted with a flood of news every day – much of which is irrelevant. The News Screener filters company news from the SharePoint intranet according to individual interests, departments, roles or locations.
What does the News Screener do?
- Information filtering: Relevant content is prioritized and bundled based on user profiles and departmental affiliation.
- Context-sensitive and personalized: Your employees receive exactly the information that is important to them – without having to sift through countless news items.
- Time-saving: Instead of sifting through all the news, relevant updates are highlighted
Example: A marketing employee receives targeted news on campaigns and customer projects, while an IT employee receives updates on new software solutions.
Automate content creation
Content marketing not only requires creative ideas, but also consistent implementation – from introduction to publication. The Blog Post Helper helps authors to simplify and speed up the entire writing process.
What does the Blog Post Helper do?
- Automatic generation of text modules: Based on a given topic, the agent suggests introductions, subheadings and concluding sentences.
- Integration of company guidelines: Specifications for wording, CI and imagery are stored so that content is created consistently in line with your brand.
- Visual support: Header images and visual elements are generated automatically via the integration of Microsoft Designer.
- • Research and content suggestions: Relevant information is collected and integrated into the text.
Additional function:
After publication, a company message can be automatically created on the intranet to promote the new blog post internally.
Benefit:
Up to 40 % time savings when creating social media posts and blog articles.
Find documents faster, speed up processes
Where are current documents located? In Teams, SharePoint or in the chat? DocFinder searches all relevant storage locations and filters specifically for the right content – without having to open each document individually
What does DocFinder do?
- Central document search: Searches all M365 storage locations to which the user is authorized – SharePoint libraries, Teams channels, personal chats.
- Relevant content at first sight: Search results are displayed as teaser texts, making it quicker to decide which document is relevant.
- Minimized search effort: Information is available immediately, without long click paths or manually opening files.
Example: A project manager is looking for a document but only remembers the topic. DocFinder displays all relevant files – including a brief content preview.
Targeted moderation of creative processes
The IdeaCoach provides targeted support for creative processes, structures brainstorming sessions and stimulates thought processes. It not only helps to generate ideas, but also continued developing them further.
What does the IdeaCoach do?
- Idea generation: The agent asks specific questions, provides food for thought and collects initial ideas that can then be developed further.
- Moderation of workshops: In meetings, the IdeaCoach acts as a digital moderator and helps to structure topics in a targeted manner and work out possible solutions.
- Innovation and product development: During the development of new concepts, the IdeaCoach analyses submitted ideas, highlights potential opportunities and points out aspects that could be developed further.
- Validation of concepts: The agent analyzes the advantages and disadvantages of different approaches and helps to take well-founded decisions.
Scenarios: Creative workshops, strategy development, product innovation
Convey knowledge and create learning paths
Onboarding, further training, individual learning objectives – the LearningCoach helps to select and structure learning content in a targeted manner. It creates personalized learning paths based on your employee’s role, level of knowledge and career goals.
What does the LearningCoach do?
- Onboarding of new employees: Compulsory training, introduction to specific topics and initial learning modules are provided in a structured manner.
- Individual learning recommendations: Based on the job description or personal interests, the agent suggests suitable further training courses – internally and externally.
- Self-directed learning: Users receive access to relevant courses, webinars and tutorials that correspond to their individual goals.
- Integration of learning resources: Learning content from various sources is brought together and prepared as a consistent learning path.
Improve AI prompts in a targeted manner
The input of a prompt is often decisive for the quality of the AI results. The PromptCoach analyses input, provides targeted feedback and thus helps to formulate more precise and effective prompts.
What does the PromptCoach do?
- Optimization of prompts: Analyses existing entries and suggests more precise formulations.
- Feedback on the input structure: Shows which elements are missing or superfluous to achieve clearer results.
- Prompt creation guide: Helps users to strategically formulate their input for better AI generation results.
Scenarios: Training on the use of AI, training new employees, optimizing existing AI processes.
From idea to agent: developing, implementing and optimizing AI solutions
Which processes time wasters? Where does information get stuck? IPI identifies specific use cases for AI agents – from document searches to creative idea generation.
Tailor-made solutions for your requirements – adaptive systems that link, prioritize and provide information in a targeted manner.
Practical training for employees – so that agents are not only used, but also developed further.
Requirements change. Agents adapt – through continuous feedback and targeted enhancements.
Customized agents: get advice now and plan your next steps
Our experts develop AI agents that fit seamlessly into your processes – precisely tailored to your requirements and business goals. In a personal consultation, we determine which processes can be automated, which information should be made available in a targeted manner and how agents can provide targeted support for your teams. Feel free to contact us – we will support you with our experience, strategic vision and practical solutions.