AI solutions
Repetitive work done inside your systems, reviewed by your team before approval
For organizations with existing systems and data that want to use AI for specific tasks inside those systems, under clear rules that protect their data and their customers’ data.
01
Problems we solve
Our team enters data from invoices, forms, and messages into the system by hand.
We get recurring questions, and the answers are in our documents, but finding them takes time.
We tried general-purpose AI tools, but they do not connect to our systems or our data.
We worry about our customers’ data going out to tools we do not control.
02
What the service includes
- F.01
Choosing the right task
We start with the repetitive tasks where AI actually helps, and leave out what a simple business rule in the system can handle.
- F.02
Extracting data from documents
Reading invoices, forms, and messages, and turning them into structured data that an employee reviews before it is saved in the system.
- F.03
Searching your organization’s documents
An assistant that answers your team’s questions from your organization’s documents and procedures, and points to the source it relied on.
- F.04
Workflow automation
Classifying requests and messages and routing them to the right department, and preparing draft replies that the team reviews before they are sent.
- F.05
Integration with your systems
The feature works inside the system your team uses, with that system’s permissions, through APIs, not in a separate tool.
- F.06
Data handling and review rules
We agree with management on what may be processed and where, and add a human review step for every output that affects a customer or a decision.
03
How it runs
We define the task
We review the processes with your team and choose one clear task whose impact can be measured.
We pilot on a limited scope
We build a first pilot on a sample of your data and review its results with the team before any decision to expand.
We integrate it into the system
We connect the feature to your system and its permissions, and add the human review step where needed.
We follow up and improve
We follow actual use and adjust the rules and settings based on the team’s feedback.
04
What it looks like in practice
Illustrative example
An accounting department enters supplier invoice data by hand from PDF files and emails. Inside its system, we build a feature that reads the invoice and suggests its data in the entry form, and the employee reviews and edits it before saving. The decision stays with the employee, whose work shifts from data entry to review.
05
What we need from you to start
- A specific task you want to improve, and someone on your team to follow up on it
- A sample of the data or documents, with sensitive information removed
- Your organization’s data handling policy, and the systems the feature will connect to
06
Support and development after launch
Our work does not end when we hand over the system: we keep track of its day-to-day operation and develop it as your business grows.
- A post-launch support period to fix bugs and monitor stability, as set out in the contract.
- Keeping track of performance, backups, and security updates.
- Regular review sessions to rank improvements and the next modules by your priorities.
- Training for new users when the team grows or branches are added.
07
Common questions
Technologies we work with
- APIs
- Document processing
- Semantic search
- Workflow automation
Do you rely on a specific AI technology?
We choose the technology based on the task and your data policy, and we explain the options and the reasons behind them before we build.
Where is our data processed?
We decide that with you before we build: what may be sent to an external service and what must stay within your environment. We write it into the project rules.
Are the results always correct?
No. That’s why we design every feature with a human review step where the output affects a customer or a decision, and we review the results in the pilot before expanding.
Do you offer training on AI tools?
We don’t offer training courses. We build the feature inside your system, and at handover we explain to your team how to use it and how to review its results.
09
Related services
All services- S.08
Backend services and microservices
APIs that connect your systems to each other, and backend services that keep up as your business grows, with an architecture sized to your needs.
- Map of the systems and the data flows between them
- Documented APIs
- Connection and integration services
- S.03
Custom ERP systems
A custom ERP system built around your procedures and business rules, implemented module by module according to your priorities.
- Module map and numbered business rules
- Custom ERP system delivered module by module
- Permissions and roles matrix
- Starting pointS.01
Business analysis and product consulting
We analyze your processes and business rules and turn them into clear requirements and a prioritized backlog before development starts.
- Current process map
- Business rules document
- Requirements and user stories
Let’s start with how you work
Describe your processes and the problem you want to solve, and we will define a clear first step with you.