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Independent client reviews
Fortum, support assistant
We built an assistant that finds the right clause across contracts and policies and shows where every answer comes from. It runs inside Fortum's own environment.
Systems for a team
Fortum's support agents answer customer questions that need exact references to contracts and policies, and those documents keep changing. Looking up the right clause by hand across large sets of documents slowed answers down and made it slow for new agents to get up to speed. Any solution had to stay inside Fortum's private environment, with no data sent outside, and every answer had to be easy to check against its source.
We started with a one-day AI workshop for segment leaders to agree on use cases, risks and where the system would run. Then we built an assistant that answers from Fortum's own documents (RAG), with separate document sets and search paths for business and retail customers. It searches by keyword and by meaning, re-ranks the results and shows each answer with its citations and a confidence level. We connected it to the support team's workflow, ran a pilot and tuned it for daily use.
One-day AI workshop for segment leaders
Separate RAG pipelines for business and retail customers
Answers that lead with their citations and show a confidence level
Integration into the support team's workflow
Each customer segment has its own document set and its own search path, so answers come from the right contracts and policies.
Search combines keywords and meaning, then re-ranks the results so the most relevant clause comes first.
The agent sees the citation and a confidence level, and can open the original document before replying.
The assistant runs on Fortum's private infrastructure, with no external data transfer.
Handling time 30% lower after rollout
Faster answers for front-line support
More confidence in answers grounded in policy documents
New support agents get up to speed faster
Fortum's internal policy and contract documents are not shown publicly.
Agreed use cases, risks and where the system may run.
Set up the customer segments, indexing and the answer flow.
Connected the assistant to the support workflow and checked answer quality.
Adjusted search and confidence thresholds for daily use.
Independent client reviews