We analyse existing processes, tasks, information flows and handover procedures, and assess where AI can deliver tangible added value.
We prioritise the levers that make the greatest contribution to efficiency, quality and speed.
AI IN BUSINESS PROCESSES
Making business processes more effective with AI
jambit optimises existing business processes using AI and combines AI, software and human decision-making to create productive workflows. This enables you to reduce manual work, improve handover processes and automate process steps, delivering clear benefits in terms of efficiency, quality and speed.
From individual AI tools to more efficient processes
Generative AI is already boosting productivity in individual tasks – such as researching, summarising, creating or evaluating information. The greatest impact is often achieved when the focus is not just on individual activities, but on the entire workflow.
In existing processes, manual work, rule-based software and human decision-making all come together. AI opens up additional possibilities: information can be analysed automatically, decisions prepared, handover processes improved, and entire process steps supported or taken over.
This is precisely where jambit comes in. We analyse specific workflows, identify suitable AI levers and redesign tasks, handover processes and technical integrations where they can effectively improve the process.
How we are using AI to further develop business processes
Identify relevant AI levers within the process
Allocating tasks effectively
Not every step in the process requires AI.
We decide together which tasks AI can take on, which are better automated using rules-based systems, and where human decisions or checks remain necessary.
Targeted re-engineering of workflows
Where AI opens up new possibilities, we continue to develop existing processes.
This can range from support for individual tasks, through automated process steps, to agent-based workflows that process information, trigger actions and link multiple systems together.
Integrating processes from a technical perspective
Productive AI must work in tandem with existing applications, data and systems.
We integrate the necessary interfaces, data sources and control mechanisms, and implement the new workflow into the actual process.
How to turn an existing process into an effective AI workflow
1. Understanding processes and levers
The starting point is a specific business or work process.
We examine where manual work, media breaks, waiting times, repetitive data processing or complex decisions are slowing down the workflow.
2. Choosing the right form of automation
For each relevant process step, we assess which technical solution offers the greatest benefit.
AI is particularly well-suited where information needs to be interpreted, content processed flexibly or decisions prepared. Rule-based software remains the better choice where clear rules and reproducible behaviour are required.
3. Implementing workflow, control and integration
A productive workflow emerges from the appropriate points of application.
We design handover procedures, approval processes and escalation procedures, and integrate AI and software into existing systems and processes.
An overview of service modules
AI Process Assessment
Analysis of existing processes and tasks with a focus on relevant AI levers, expected benefits and technical feasibility.
AI-enabled Workflow Design
Further development of specific workflows and design of the interaction between AI, software and human decision-making.
Agentic Workflow Engineering
Development and integration of AI agents and agentic workflows for clearly defined tasks and system interactions.
Decision Support & Automation
AI-supported preparation or automation of defined decisions and process steps.
Human-in-the-Loop & Quality Gates
Integration of verification, approval, escalation and human oversight at the relevant stages.
Workflow & System Integration
Integration of the required applications, data sources, APIs and existing systems.
Productive Implementation
Technical implementation and roll-out of AI-supported workflows into production.
Using AI where it can bring about tangible improvements to processes
In the case of AI in business processes, the focus is on an existing or clearly defined business process.
We identify the tasks and handover points within this process where AI offers significant potential for improvement, and use this to develop the appropriate technical solution.
For a successful implementation, a number of interrelated questions often arise: Which projects are worthwhile? What technical infrastructure is required? And does the greatest potential for improvement lie within the process itself or in a specific application?
To address this, we specifically combine AI in Business Processes with the relevant services from Applied AI Engineering:
When AI is useful in business processes
An existing process involves many manual tasks
Information has to be regularly searched for, collated, assessed or transferred to various systems.
Handover points slow down the process
Waiting times, data discontinuities or unnecessary extra work arise between people, applications and systems.
AI is already being used in specific areas, but is not yet transforming the process
Individual staff members benefit from AI, but the actual workflow remains unchanged.
An AI or agent prototype is to be integrated into a workflow in a productive manner
The technical concept works, but process integration, control mechanisms and system connectivity are lacking.
Further process steps are to be automated in a controlled manner
It needs to be clarified which tasks AI can take on and where approvals or human decisions remain necessary.
Next step – identifying the potential for AI within the process
Would you like to make an existing business process more efficient, reduce manual work or implement AI-supported workflows effectively?
Together, we will identify the relevant levers and use them to develop a solution that fits into your existing process and system landscape.
* Mandatory field
