Onboarding
“What steps should I follow to onboard a customer?”
Look up procedures, guides, and checklists.
Applied AI / Knowledge assistants
Your company’s knowledge.
Within your team’s reach.
When a business grows faster than its documentation, finding an answer can depend on knowing the right person. We build AI assistants that search internal sources and show where the information comes from.
01 / Where it can help
Questions from everyday work.
Illustrative examples; answers depend on your sources and permissions.
Internal support
“Which procedure applies to this type of request?”
Find instructions and escalation criteria.
Technical knowledge
“What does the manual say about this configuration?”
Locate information in manuals and approved documentation.
02 / How it works
Your sources first. Then an answer.
RAG means retrieval-augmented generation: finding relevant information before generating an answer.
- 01
Sources
Choose approved documents, who can access them, and how they stay current.
- 02
Retrieval
The application finds passages relevant to the question.
- 03
Answer
AI uses those passages to draft an answer with source references.
A reference makes an answer reviewable; it does not guarantee correctness. We evaluate errors, missing information, and when to ask a person for help.
03 / A focused pilot
Start with one team.
Learn before expanding.
Before building, we review whether your sources and needs suit an assistant. Sometimes improving documentation or search is the more useful first step.
- Scope
- One team, one knowledge domain, and an agreed set of sources.
- Access and updates
- Defined permissions, content owners, and a way to incorporate changes.
- Evaluation
- Real questions to review answer quality, references, and behavior when information is missing.
- Deliverables
- A pilot assistant, evaluation results, documented limitations, and a recommendation for the next stage.
Before getting started
What documents do we need?
A representative set of documents your team is authorized to use, along with questions that are difficult to answer today. We review formats, quality, and freshness before defining the scope.
Who can see the information?
We define permissions and access boundaries before connecting sources. The provider, hosting, and data handling are agreed based on the project’s needs.
Can it connect to our tools?
We review existing systems and their integration options. Available connectors or APIs and the required permissions determine what can be included.
How will we know it is useful?
We agree on criteria before the pilot: answer quality, support from sources, time to find information, and usefulness to the team. We measure outcomes rather than promise them in advance.
A useful starting point
What would you like to improve?
Bring a process, a data problem, or a technical question; we’ll find a useful first step together.