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Aygentix

Private AI Knowledge Copilots Your company's knowledge, one question away

We build private AI copilots that answer questions from your own documents, policies, wikis and past tickets, with a link to every source. Staff find answers in seconds instead of searching drives and inboxes, and your data never leaves your control.

Who knowledge copilots are for

  • Internal IT and HR help desks that answer the same questions every week
  • Sales and bid teams that write RFPs, security questionnaires and proposals
  • Customer support and onboarding teams that need fast, consistent answers
  • Any business whose know-how is spread across shared drives, wikis, email and tickets

Problems a knowledge copilot solves

ProblemStaff waste time searching for information
What changes with a knowledge copilotThey ask a question in plain English and get an answer with sources
ProblemExperts are interrupted with the same questions
What changes with a knowledge copilotThe copilot answers routine questions and leaves experts free for hard ones
ProblemRFP and proposal responses take days
What changes with a knowledge copilotA first draft of each answer is generated from your past approved content
ProblemNew hires take months to get up to speed
What changes with a knowledge copilotThey can ask the copilot anything about products, processes and policies
ProblemPublic AI tools put company data at risk
What changes with a knowledge copilotYour copilot runs privately, with your access rules applied

Knowledge copilots we build

  • Internal helpdesk copilots for IT, HR, finance and operations questions
  • RFP and proposal generators that draft answers from your approved content library
  • Support and onboarding copilots that help agents and new hires find the right answer fast
  • Customer-facing assistants for your website or portal, limited to approved content
  • Private RAG pipelines that connect to drives, wikis, ticketing systems and databases
  • Permission-aware search so each user only sees content they're allowed to see

How a private RAG copilot works

  1. Choose the knowledge.

    We agree which sources the copilot should use and who can access what.

  2. Connect and index.

    We connect your sources and build a secure search index that stays up to date.

  3. Build the copilot.

    We design the answers, citations and tone, and put the copilot where your team works, such as Teams, Slack or a web app.

  4. Test answer quality.

    We test it with real questions from your team and measure accuracy before launch.

  5. Launch and improve.

    Usage analytics and feedback show what's working and which content needs updating.

Knowledge copilot use cases

Example scenarios, not client projects.

  • IT services company: internal helpdesk.

    Staff ask policy and how-to questions in Microsoft Teams and get sourced answers, with tickets only for what the copilot can't answer.

    Read the full example →
  • Professional services firm: RFP responses.

    Each new RFP gets a sourced first draft built from past winning proposals.

    Read the full example →
  • SaaS company: support and onboarding.

    Support agents ask the copilot about product features and known issues, and new hires use it to learn the product in their first weeks.

Copilot and RAG tech stack

AI models
leading commercial LLMs, or open-source models hosted in your environment
Retrieval
vector databases, hybrid keyword and semantic search, re-ranking
Sources
SharePoint, Google Drive, Confluence, ticketing systems, databases and file shares
Interfaces
Microsoft Teams, Slack, web app, website widget or API
Quality and safety
answer evaluation, citation checks, guardrails and access controls

Copilot engagement models

  • Build

    We build, deploy and maintain your copilot end to end.

  • Consult

    We design your RAG architecture, data access model and evaluation plan.

  • Staff

    Our AI engineers join your team to build and improve copilots with you.

Knowledge copilot FAQs

Will the copilot make things up?

We design it to answer only from your approved sources and to cite them. When it can't find a reliable answer, it says so instead of guessing.

Is our data used to train public AI models?

No. Your content stays in your environment or a private cloud and is not used to train shared models.

Can different teams see different content?

Yes. The copilot respects your existing permissions, so people only get answers from content they're allowed to see.

How does it stay up to date?

Sources are re-indexed automatically on a schedule you choose, so new and updated documents are picked up.

Where can our team use it?

Wherever they work: Microsoft Teams, Slack, a web app, your intranet or your website.

What happens next

  1. Book a call.

    A free 30-minute conversation about your knowledge sources and users.

  2. Free assessment.

    We review your content and recommend the best first copilot.

  3. Proposal.

    A clear scope, timeline and price, starting with a pilot.

Give every employee an expert on call

Tell us where your team loses time looking for answers. We'll show you what a private copilot could do with your own content.