Incoming information
Bring together questions and material from email, forms and other channels. Sort and prepare them so the next person has the right context.
Fewer manual steps. More time for work that needs judgment.
We improve real-world workflows and connect the systems you already use, combining AI, integration, automation and human oversight.
Input
Question or case
Understand
AI + context
Act
In an existing system
Done
Answer or action
- CRM
- Case systems
- Documents
- Booking
- API
Human judgment when neededExceptions and decisions go to the right person
Technology shaped around the work.
We start with the workflow, the systems and the decisions that matter. The technology is shaped around that reality.
Where time and information get lost
We work with recurring tasks that slow down service and case handling. Each solution is shaped by the process, access to data and the oversight it needs.
Existing systems
Build for the interfaces that are actually available: APIs, case systems, document management, booking and messaging. Access and agreements determine what can be connected.
Work that calls for a decision
Use automation for clear, repeated steps. Pass uncertainty, exceptions and judgments on with the relevant material.
Your systems, connected
We build the part that is missing.
Your process rarely lives in one system. We connect the tools you already use and build the automation between them.
See all solutionsWhere work arrives
- Forms
- Calls
- Documents
The part we build
- AI with context
- Rules and permissions
- Human review
Systems you already use
- CRM
- Case systems
- Booking
- Databases and APIs
Example workflows
How it can work in practice
One call, several systems, a clear answer
An illustrative example of a workflow we could build.
A phone call can become a connected workflow from question to answer. Information comes from the right systems, while cases needing judgment go to a caseworker.
- TelephonyIncoming / outgoing
- Knowledge baseArticles, FAQ
- Booking systemTimes, availability
- CRM / casesCustomer data, history
- SMS / emailConfirmations, alerts
- Incoming callCustomer calls
- AI listensTranscribes and interprets the conversation
- Understands requestIdentifies intent and retrieves relevant context
- Finds an answerRetrieves information from connected systems
- Acts when neededCompletes tasks in your systems
- Book a time
- Cancel
- Reschedule
- Send confirmation
- ResolvedThe customer receives an answer or action
When human judgment is needed
Complex case
Unclear request, special needs or human judgment
Hand over to a caseworker
The right person receives the relevant context
Start where improvement can be measured
We choose a clear workflow, set a measurable goal and test on a small scale before going further.
- Step 1
Understand the process
We map the steps, systems, information flow and where time is currently spent.
- Step 2
Test on a small scale
We create a focused workflow with an outcome we can evaluate together.
- Step 3
Introduce it with oversight
Once it works, we plan integration, permissions, monitoring and ongoing ownership.
Questions we raise early
Before connecting technology, we clarify responsibility, access and what must be open to review.
What information can be used?
We map personal data, confidentiality and where data may be processed before connecting a workflow.
Who can do what?
System access and automated actions are limited to the task and the organisation’s rules.
What should a person review?
We define when uncertainty or consequences require review, and how the material is handed over.
How is the work followed up?
Relevant events are documented so the workflow can be understood, measured and improved.
What information can be used?
We map personal data, confidentiality and where data may be processed before connecting a workflow.
Who can do what?
System access and automated actions are limited to the task and the organisation’s rules.
What should a person review?
We define when uncertainty or consequences require review, and how the material is handed over.
How is the work followed up?
Relevant events are documented so the workflow can be understood, measured and improved.
Research
Better systems start with better questions.
Our research explores the practical questions behind useful AI: how it works, where it helps, and what people need to trust it.
Explore ResearchPublic-sector AI
AI that supports public services, with attention to accountability, access, and the people they serve.
Human + AI
How people and AI work together, with clear responsibilities and room for human judgment.
Workflow intelligence
Understanding how work moves through an organisation and where AI can help.
AI systems
Building and evaluating systems that remain useful, observable, and reliable in practice.
Built in Linköping.
Swanloop is a specialist team with backgrounds in artificial intelligence, machine learning, software engineering and economics. We connect technical development with an understanding of the work it should improve.
About SwanloopIs there a process taking more time than it should?
Show us how it works today. We can help identify what can be automated and what should remain with people.
Talk to Swanloop