Custom AI Assistants
We build AI assistants grounded in your policies, documents and approved data, so your team and customers get accurate, referenced answers instead of generic ones.
The service
General-purpose chat tools do not know your pricing, processes or policies, and they may confidently invent details. A custom assistant retrieves relevant passages from your approved sources and answers from them, citing where each answer came from.
We handle the work that makes this reliable: preparing and structuring content, choosing retrieval strategies, enforcing access permissions, testing answer quality and deciding what the assistant should decline to answer.
Experienced staff are interrupted repeatedly to answer questions already documented somewhere.
Policies, manuals and past work exist, but finding the right paragraph takes too long.
New team members take months to learn where information lives and how things are done.
Different people give different answers to the same customer or internal question.
Key capabilities
Answers built from your indexed documents, wikis, tickets and databases.
Each answer links back to the documents it used, so users can verify.
Users only receive answers from content they are allowed to access.
Deploy on your website, intranet, Slack, Microsoft Teams or inside internal tools.
Defined topics, refusal behavior and escalation to a person when needed.
Test sets and feedback loops measure accuracy and improve the assistant over time.
Realistic use cases
Illustrative examples of how businesses apply this service. Outcomes depend on your process, data and scope.
Example workflow
Retrieval, permission checks and citation before the answer reaches the user.
01 · Trigger
A user asks in chat, Slack, Teams or a web widget.
02 · Systems & tools
Find relevant passages the user is permitted to see.
03 · AI step
Generate a response using only the retrieved content.
04 · Human checkpoint
Hand over to a person when sources do not cover the question.
05 · Outcome
Response includes links to the source documents.
Security & governance
You control which content is indexed and when it is refreshed or removed.
Document permissions from your systems are respected in every answer.
Questions and answers are logged according to your retention policy for quality review.
The assistant declines topics outside its scope, such as legal or medical advice.
Implementation approach
Identify sources, owners, quality issues and access rules.
Clean, structure and index content for accurate retrieval.
Build the assistant and test it against real questions with known answers.
Launch to a pilot group, collect feedback and refine before wider release.
FAQ
We reduce this risk by grounding answers in retrieved documents, instructing the assistant to say when it does not know, citing sources and testing against question sets. No AI system is perfect, so citations let users verify.
Yes, these are common sources. We connect to them through their APIs and respect existing permissions.
We configure model providers and contracts so your data is not used for training, and we can use private deployments where required.
Content is re-indexed on a schedule or when documents change, and outdated content can be removed from the index.
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