We work with your team, find where AI can help and build a solution connected to your existing systems. Start with one workflow, with support through to daily use.
Your team knows the work. We bring the engineering.
Start with tasks your team knows well. These examples illustrate possibilities; every solution depends on your workflow, data and systems.
The team opens documents in different formats, finds the relevant details and enters them into a system.
What could change
AI identifies relevant details. The solution checks them against existing information and sends ambiguous cases for review.
For example: supplier documents, orders or reports
Someone reads each email or request, works out what it concerns and decides who should handle it.
What could change
AI classifies the request and extracts what is needed. The solution routes it using rules agreed with the team.
For example: service requests, internal requests or enquiries
Answering a question means switching between documents and systems or tracking down the person who knows.
What could change
Connect information sources so the team can get an answer with a source reference, within their access permissions.
For example: procedures, product information or work instructions
Useful software has to fit the work, the data and the way the team makes decisions. That is why we build it with you.
About the first ten daysObserve the work: what takes time, where judgement is needed and what information is available. Check whether AI is the right approach.
Choose one workflow, define a good result and agree where a person must approve. By day three, clarify what fits in ten days and what needs longer.
Connect to the systems and test with examples from daily work, including exceptions. Aim for a first production solution within ten days and the agreed scope.
Your team gets software for daily work with clear permissions, monitoring and a process for exceptions. You receive the code and documentation, and can measure the change before choosing what to improve next.
Meet SimplifyNo. Bring a recurring task or a problem the team faces. We study it together and check whether AI, conventional automation or a combination makes sense.
This service is hands-on work with the team and development of a solution they can use. We support employees in using what we build. Workshops and training are a separate service.
Agree what can be checked automatically, where human approval is needed and which actions must wait for review. Test exceptions and define monitoring and a manual fallback.
Before selecting tools, agree which data is needed, who can access it and where it may be processed and stored. Infrastructure and integrations follow your organization’s constraints and requirements.
We start with one workflow and a manageable scope. By day three, we clarify what can be put into use within ten days and what requires further work.
Start with a conversation about the work. We will explore what you want to improve and how to approach it.
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