Internal help desk
Employees self-serve answers.
- 01Ask question
- 02Retrieve sources
- 03Answer with citations
- 04Escalate if unclear
- 05Log gap
Solution · Answers from your knowledge
Your company's knowledge, answerable — with sources.
Knowledge systems search across your documents, wikis, tickets, and databases and answer questions with citations, so people and AI employees can rely on what your business already knows.
What it is
Search that understands the question
Retrieval-augmented generation (RAG) combines search with language models. The system finds the most relevant passages in your content, then writes an answer based only on them — and shows where each part came from.
Knowledge systems are also the memory layer for AI employees, giving them the policies and history they need before taking action.
Capabilities
What it can do
Unified search
Across drives, wikis, help desks, and databases.
Cited answers
Every answer links to its sources.
Permission-aware
Users only see what they are allowed to.
Always current
Content stays in sync with source systems.
Agent memory
Knowledge available to AI employees and copilots.
Gap detection
Unanswered questions reveal missing documentation.
In practice
Common patterns
Support knowledge
Faster, consistent customer answers.
- 01Ticket arrives
- 02Search past resolutions
- 03Suggest answer
- 04Agent confirms
- 05Knowledge updated
Document research
Find clauses or facts across collections.
- 01Query
- 02Filter collection
- 03Retrieve passages
- 04Summarise
- 05Link to originals
Human in the loop
Control when it matters.
Autonomy is earned task by task. These controls are part of every deployment.
- Source permissions enforced at query time
- Citations on every answer
- Sensitive repositories excluded by rule
- Deletions propagated to the index
- Answer quality measured against real questions
Honest fit
Where it works — and where it doesn't yet
Good fit
- Large volumes of internal documentation
- Repeated questions to experienced staff
- Support teams with extensive knowledge bases
Not the right starting point
- Very small or outdated document sets
- Questions that require live calculations rather than documents
How we deliver it
Services behind this solution
Service
RAG & Knowledge Systems
We build retrieval-augmented generation systems that search your documents, wikis, tickets, and databases, then answer questions with citations — respecting who is allowed to see what.
Service
AI Copilots
We build AI assistants embedded in your internal tools and products — grounded in your data, aware of the user's context, and designed to speed people up rather than replace their judgment.
Service
AI Integration
We integrate AI capabilities into your CRM, ERP, help desk, databases, and internal applications — through secure APIs, webhooks, and middleware — so intelligence is available where decisions are made.
FAQ
Frequently asked questions
01Will the system make up answers?
It is designed to answer only from retrieved sources and to say when it cannot find an answer. Citations let users verify. No AI system is error-free, which is why sources are always shown.
02Is our data used to train public models?
We configure model providers so your data is not used for training where providers offer that option, and we document how data flows through the system.
Related reading
Go deeper on this topic
Related solutions
Explore further
Assistants inside your tools
AI Copilots
AI copilots help people work faster by drafting, summarising, and finding information inside their existing applications — grounded in company data and always leaving the final decision to the user.
Role-based digital workers
AI Employees
An AI employee is a supervised digital worker designed around a specific business function. It understands context, uses approved tools, completes tasks, and escalates decisions that need human judgment.
Built for your problem
Custom AI Systems
Custom AI systems are designed around your data, rules, and goals — combining language models, machine learning, retrieval, and software into one system your business owns and controls.
Next step
Bring us the process your team is tired of doing manually.
A strategy call is a working conversation about one workflow: what it involves today, what could be automated, and what a first build would look like.
What happens next
- 1Tell us about one workflow
- 2We review it before replying
- 3A working session, then a first-build proposal