Skip to content
AI and Automation

Internal Knowledge Bot

A private AI assistant that answers staff questions from your internal documents.

Overview

What we deliver

We build an internal knowledge bot that lets staff search policies, processes, and product docs in plain language with cited answers.

We deliver an internal knowledge assistant that gives your team instant answers from documents, wikis, ticket histories, and policy libraries. We start by mapping the questions your staff ask most often and the sources that hold the answers. We then connect those sources, set up secure ingestion, and configure a retrieval pipeline that returns answers with citations to the original document. The bot is available in the channels your team already uses, such as Slack, Microsoft Teams, or a web portal, and respects existing permissions so users only see what they are allowed to see. We tune the prompts, evaluate answer quality with sample question sets, and build feedback loops so the bot improves over time. We also set up admin tools for content owners to flag outdated documents and update sources. The outcome is faster answers for support, sales, and operations teams and less time spent searching across systems.

Fit Check

Built for teams like yours

Who it's for

  • Support teams answering repeat questions
  • Sales teams needing fast product answers
  • HR teams handling policy questions
  • Operations teams with complex procedures
  • Distributed teams across time zones

Pain points we solve

  • Staff cannot find answers quickly
  • Policies live in scattered documents
  • Senior staff answer the same questions
  • New hires take weeks to ramp
  • Outdated documents create wrong answers
What's included

Capabilities

Everything we cover in this engagement.

  • Source mapping and access setup
  • Secure ingestion pipeline
  • Retrieval and citation logic
  • Slack, Teams, or web interface
  • Permission and access controls
  • Evaluation and quality testing
  • Admin and feedback tools
  • Training and rollout
How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Scope

We identify question patterns, sources, and permission rules.

02

Build

We set up ingestion, retrieval, and the chat interface.

03

Evaluate

We test answers against a question set and tune prompts.

04

Pilot

We launch to a small group and gather feedback.

05

Roll out

We expand access, train users, and set up content owners.

What you get

Deliverables & outcomes

What you get

  • Connected knowledge bot
  • Source ingestion pipeline
  • Permission and access controls
  • Evaluation report
  • Admin dashboard
  • Training and documentation

Outcomes you can expect

  • Faster answers for common questions
  • Lower load on senior staff
  • Shorter new hire ramp
  • Higher self service rate
  • Cleaner knowledge base over time
Timeline

4 to 8 weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

OpenAI, Azure OpenAI, Pinecone, Slack, Notion

KPIs we track

Questions answered per week, answer accuracy, deflection rate, average response time, content freshness

Client stories

What clients say

"

We were paying three agencies and a lifecycle freelancer to argue over attribution. RevoraOps absorbed all of it in 30 days, killed our worst-performing Meta ad sets, and rebuilt the welcome flow from scratch. CAC dropped 31 percent in the first full month. Honestly the relief of having one weekly call instead of four was worth it alone.

Megan W.
"

Our SDRs were spending two hours a day copying lead data between Salesforce, Outreach, and a Google Sheet nobody owned. They mapped the whole flow, stitched it together in n8n, and added a dedupe step we did not even know we needed. Got 38 hours a week back across the team. The SDRs were the ones who pushed to expand it further.

Rebecca F.
FAQ

Frequently asked questions

Quick answers to the questions we hear most.

Where is our data stored?
We deploy in your cloud or in a private tenant. Source documents stay within your environment and we do not use them to train public models.
Can the bot respect document permissions?
Yes. We integrate with your identity provider so users only see answers from documents they are allowed to access.
How do you measure accuracy?
We build an evaluation set of real questions with expected answers and score the bot against it before and after launch.
Which channels does it work in?
We support Slack, Microsoft Teams, and a web portal. The same backend can serve all three.
How do we keep content fresh?
We set up flags for outdated sources, give content owners a dashboard, and schedule periodic reviews.

Staff spending too long searching?

We will build a private knowledge bot that answers in seconds with citations.