Solutions — Internal AI Assistants
An assistant that knows your company. And only your company.
We install internal AI assistants grounded in the knowledge your company approves — so employees get cited, permission-aware answers instead of confident guesses from a public chatbot.
The difference
Grounded, not generic
Giving employees a public chatbot login is not an internal assistant. The difference is not the chat window — it is what sits behind it: which knowledge the assistant may use, who may see what, and what happens when it does not know.
What you get off the shelf
A generic public chatbot
Answers from public training data
It draws on whatever it learned from the open internet — not on your procedures, products, or policies.
No concept of who is asking
Every user gets the same access to the same answers. Roles, teams, and confidentiality do not exist.
No sources shown
You cannot see where an answer came from, so you cannot verify it before acting on it.
Guesses when it does not know
Gaps in knowledge tend to produce fluent, confident, wrong answers rather than an honest "I don't know".
Frozen at a training cutoff
The policy you updated last month is not in it — and nothing tells the user that.
What we install
A grounded internal assistant
Answers from approved knowledge only
It responds using the documents your company has connected and signed off — nothing else.
Respects roles and permissions
People only receive answers drawn from sources they are cleared to access.
Cites the source of every answer
Each answer links to the document it came from, so anyone can open the original and check.
Escalates instead of guessing
When the sources do not cover a question, it says so and hands over to a person.
Reads the current version
Answers are retrieved from the approved sources at question time — when a document changes, the assistant answers from the updated version.
Knowledge sources
Built on knowledge you approve. Nothing else.
An internal assistant is only as trustworthy as what it reads. Every source is connected deliberately — reviewed, approved, and scoped — rather than pointing the assistant at everything and hoping for the best.
Connecting a source is a decision, not a default. What the assistant may read — and who may see answers drawn from it — is agreed during design, never assumed.
Standard operating procedures
How work is actually done — the steps, the owners, and the exceptions.
Internal documents
Handbooks, guidelines, and the reference material teams already rely on.
Product information
Specifications, capabilities, limits, and current details of what you sell.
Training materials
The courses and instructions used to onboard and upskill your people.
Policies
Leave, expenses, returns, security — the rules behind most everyday questions.
Service documentation
Setup guides, troubleshooting steps, and the procedures your service work follows.
Knowledge bases
The wikis and help centers you have already invested in — connected, not rebuilt.
FAQs
The questions people already ask repeatedly, paired with the approved answers.
Retrieval and citations
Every answer shows its source
The assistant does not answer from memory. It retrieves the relevant material first, answers from what it found, and cites the document behind every answer — so trust never has to be blind.
- 01
Retrieve
The assistant searches the approved sources for passages relevant to the question — at the moment it is asked, so the answer reflects the current documents.
- 02
Compose
It writes a plain-language answer from those retrieved passages — not from general internet knowledge.
- 03
Cite
It attaches the documents it drew from, so anyone can open the original and verify the answer before acting on it.
Employee asks
"A customer wants to return a product after the standard window. Can we accept it?"
Assistant answers
Outside the standard window, a return can still be accepted in defined cases — for example a faulty item or a warranty claim. The returns policy lists the exceptions and who can approve them.
- Source: Returns & refunds policy — exceptions section
- Source: Support procedure — returns handling
Not covered by the connected documents? The assistant says so and escalates — it does not improvise.
What teams use it for
One assistant, many everyday jobs
The same grounded assistant supports the small, frequent moments where work slows down — the question, the draft, the summary, the procedure.
Answering employee questions
Instead of interrupting a colleague or digging through folders, employees ask and receive a cited answer in seconds — and the person who used to field those questions keeps their focus.
Onboarding support
New starters can ask the questions they would hesitate to bring to a busy manager, and get consistent answers drawn from approved material rather than office folklore.
Preparing documents
First drafts of routine documents — internal notes, checklists, summaries for a meeting — built from your source material, then finished and approved by a person.
Summarizing
Long reports, meeting notes, and policy updates condensed to what matters, with the original always one click away.
Following procedures
Step-by-step guidance through a documented procedure while the work happens — most useful for tasks people do rarely but must do correctly.
Access control
Who sees what is a design decision
"Connect everything and let everyone search it" is how internal chatbots go wrong. In our installations, access is defined per source and per role — before launch, not after an incident.
Source-level rules
Each connected source carries its own visibility: company-wide, team-only, or role-specific. HR guidance and management reporting are not the same audience.
Aligned with existing permissions
Where your systems already define who may open a document, the assistant follows those rules rather than inventing new ones.
Scoped, never universal
The assistant is given the minimum access its job requires. There is no "connect the whole drive" step.
Documented and adjustable
What is connected, who can see it, and who approves changes is written down — and revisited as the installation grows.
Every assistant installation defines its own security, access, and approval requirements — and the design follows them.
Escalation
When the sources run out, it says so
The most damaging thing an internal assistant can do is invent an answer. Escalation is not an afterthought in our installations — it is designed, agreed, and tested before anyone relies on the system.
Escalation rules, approval points, and real-scenario testing are part of every installation. See how an installation runs
It admits the limit
If the approved sources do not cover a question, the assistant says exactly that — no fluent guessing dressed up as an answer.
It hands over with context
The question routes to the right person or channel, together with what the assistant found and where it stopped.
It records the gap
Unanswered questions are collected so documentation owners can see what is missing and close it. The knowledge base improves because of the questions the assistant could not answer.
Illustrative example
An employee question, end to end
One possible implementation — each real installation is designed around your sources, roles, and escalation rules.
A new starter asks a question
Human"A customer bought a product five weeks ago and wants to return it — what do we do?"
Access rules are applied first
SystemBefore anything is searched, the assistant checks which sources this employee is allowed to draw on.
It searches the approved sources
AIRelevant passages are retrieved from the returns policy and the support procedure — and from nothing outside them.
It answers in plain language
AIThe answer is composed from the retrieved passages: what the standard window is, which exceptions apply, and what to check first.
It cites both documents
AIThe employee can open the exact policy section and procedure step the answer came from.
It escalates when coverage is thin
HumanIf this case is not clearly covered, the assistant says so and routes the question to the support lead — with the full context attached.
The gap is recorded
SystemIf the question keeps recurring, documentation owners see it and update the source — so the next answer is grounded.
Answering is one half. If the assistant should also act — update records, prepare drafts inside your tools, or trigger a workflow — that becomes a custom AI system.
Explore custom AI systemsGive your team one trusted place to ask.
Bring the questions your team asks most often. We will look at which approved sources could answer them, and how access, citations, and escalation would be designed for your company.