Knowledge Copilots (RAG)

Ask Once. Get the Sourced Answer.

Private copilots that search your documents, policies and internal records and reply in seconds - with every answer linked to where it came from.

Enterprise Knowledge Copilots (RAG)

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Knowledge Copilots

Inside This Practice

Enterprise Knowledge
Copilots

Most organisations already know the answer - it is just buried in a shared drive, a wiki page, an old email thread or a database nobody remembers. We build copilots on retrieval-augmented generation (RAG): the copilot finds the passages that matter in your own content and writes an answer grounded in them, citing its sources, honouring each user's access rights and keeping your data private.

Knowledge Source Integration
Content Source
Connectors
Document Processing & Indexing
Document Parsing
& Indexing
RAG Assistant Development
Copilot
Engineering
Access Control & Security
Permissions
& Privacy
why choose TokenWave AI
why choose TokenWave AI
Why Choose TokenWave AI

Answers That Show Their Working

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Cited Answers

Each reply links to the passages it was built from, so anyone can check it in one click.

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Respects Access Rights

People only get answers drawn from material they are already cleared to read.

Scope My Project

One Copilot, Every Knowledge Source

We connect PDFs, Word files, SharePoint, Google Drive, Confluence, Notion, websites, databases and ticketing tools.

Speak to an Engineer
integrations
ai
Meaning-Based Search

Ask in everyday language and get the answer that fits the meaning of the question - not just the pages that share a keyword.

Talk It Through
ai
Always Current

Scheduled syncing keeps the copilot up to date whenever documents or policies change.

Talk It Through

Where It Earns Its Keep

Enterprise Employee Help Desk

Staff Help Desk Copilot

An internal copilot that answers HR, IT and operations questions straight from current policy, so support teams field fewer repeat tickets.

  • Policy-exact HR guidance
  • IT answers without a ticket
  • Fewer repeat support requests
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Customer Support Knowledge Base

Customer Support Copilot

A copilot that gives service staff and customers precise, cited answers pulled from product manuals, FAQs and past case notes.

  • More issues solved on first contact
  • The same cited answer, every time
  • Self-service that scales with demand
Ask About This
Academic & Research Knowledge Access

Campus & Research Copilot

A copilot that lets students, lecturers and researchers query course materials, publications and institutional records safely.

  • Answers from course materials
  • Faster literature discovery
  • Access limited to the right people
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Our Build Path

From Scattered Files
to a Working Copilot

process
process
process
process
Source Audit

We identify the sources that matter, who will use the copilot and the questions it must handle well.

Parse & Index

We parse, split and index your content under strict access controls so the right passage is always found.

Copilot Build

We build the retrieval pipeline, answer generation, citations and the interface your people will use.

Launch & Refine

We launch, score answer quality and keep tuning retrieval and responses over time.

6+

Engineering Practices

10+

Sectors We Serve

100%

Built From Scratch, For You

24/7

Agents That Act

Ways to Engage

Choose How We
Work Together

Pilot

/ Pilot

Prove the idea on your own data before you commit to a full build.

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Opportunity-mapping workshop

Working prototype on a data sample

Frank feasibility and payback review

Plan for going live

Recommended

Build

/ Full Build

A hardened, production-grade system connected to your software.

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Design and build from start to finish

Connectors to your apps and records

Evaluation suites and safety limits

Launch, documentation and handover

Scale

/ Run & Improve

Ongoing tuning, monitoring and engineering support as usage grows.

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Monitoring and accuracy tuning

Model and prompt refreshes

New capabilities and use cases

Fast-lane engineering support

FAQ

Questions We Often Hear

RAG pairs search with a language model. The system first finds the relevant passages in your documents, then writes an answer based on them - so replies stay accurate and anchored in your own content.

RAG greatly reduces that risk. Answers are grounded in your documents, sources are shown, and the copilot is set up to say so when it does not know.

Yes. Retrieval honours existing permissions, so people only get answers from material they are already cleared to read.

On your website or intranet, in Slack, Microsoft Teams or WhatsApp, or built straight into your existing applications.
Results in Practice

Related Case Studies

Case studies that show our methods applied to real problems.

Hearing the Customer Clearly
Retail & Customer Experience
Hearing the Customer Clearly

Aspect-by-aspect sentiment and emotion from customer feedback, delivered as dashboards.

Read case study →
Explainable Medical Imaging
Healthcare
Explainable Medical Imaging

Highlights probable conditions in X-rays and scans and shows clinicians the evidence behind each finding.

Read case study →
Trustworthy Online Exams
Education
Trustworthy Online Exams

Webcam proctoring that flags suspicious behaviour live and reports with evidence.

Read case study →

Further Reading

Field notes from our engineers on shipping AI that holds up.

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What Your Team Knows?

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