AI Internal Assistants Huntsville: Stop Hunting Through Folders for Answers
Your team's knowledge, instantly searchable. AI assistants that answer questions from your SOPs, handbooks, and docs—so new hires get answers in seconds, not hours.
What Changes When Your Team Has an AI Assistant
How It Works
From docs to deployed assistant in 3-4 weeks. Your team keeps using their existing tools.
Knowledge Audit
We inventory your docs—handbooks, SOPs, runbooks, FAQs—and identify gaps. You tell us who needs access and what questions they ask most.
Build & Train
We ingest your approved documents, build the assistant, and test against real questions. The assistant learns to cite sources and stay within bounds.
Deploy & Refine
Roll out to your team via web, Slack, or Teams. We monitor questions, add missing content, and tune responses based on feedback.
Engineering Firm • Huntsville, AL
The Problem
New engineers spent 20+ hours in their first month hunting for project standards, tooling guides, and process documentation spread across SharePoint and email.
The Solution
Built a Slack-integrated assistant trained on their engineering handbook, project templates, and internal wikis. Engineers ask questions in natural language and get cited answers.
The Results
What You Get
Instant Answers from Your Docs
Ask questions in natural language. The assistant searches your approved documents and returns answers with source citations.
Slack or Teams Integration
Your team asks questions where they already work. No new tool to learn—just @ the assistant and get answers.
Source Citations
Every answer includes a link to the source document. Your team can verify and dive deeper when needed.
Guardrails & Boundaries
The assistant only answers from approved content. It won't make things up or go outside your knowledge base.
Usage Analytics
See what questions your team asks most. Identify documentation gaps and measure adoption over time.
Easy Updates
Add new documents or update existing ones. The assistant learns from changes within hours, not days.
Transparent Pricing
One-time setup fee. Includes document ingestion, assistant training, and deployment. Ongoing hosting is typically $50-150/month depending on usage.
Starter
Single knowledge base
- Up to 50 documents
- Web chat interface
- Source citations
- 30 days support
Team
Full team deployment
- Unlimited documents
- Slack or Teams integration
- Role-based access
- Usage analytics
- 60 days optimization
Enterprise
Multi-team, governed
- Everything in Team
- Multiple knowledge bases
- SSO integration
- Custom guardrails
- Ongoing support retainer
Frequently Asked Questions
What is an AI internal assistant?
An AI internal assistant is a private AI tool for your team that answers questions from your approved documents, policies, and knowledge base. Unlike public AI like ChatGPT, internal assistants are grounded in your specific content, maintain data privacy, and provide consistent, auditable answers aligned with your organization's information.
How is an internal AI assistant different from ChatGPT?
Internal AI assistants are grounded in your specific documents and policies, so they answer from approved sources rather than general internet knowledge. They don't send sensitive data to third parties, provide consistent answers across your team, and know when to say 'I don't know' rather than making things up. They're purpose-built for your business.
What can employees ask an internal AI assistant?
Employees can ask about company policies, procedures, product specifications, pricing guidelines, HR policies, technical documentation, onboarding information, and any content you've added to the knowledge base. The assistant retrieves answers from your approved documents rather than generating potentially inaccurate information.
How do you keep internal AI assistants secure?
Internal AI assistants use role-based access controls, can be deployed in private environments, and only access documents you've explicitly approved. Data stays within your security perimeter. For sensitive industries, we implement additional controls like audit logging, access restrictions, and on-premises deployment options.
How long does it take to set up an internal AI assistant?
Basic internal assistants can be operational in 2-3 weeks, including document ingestion, access setup, and testing. More complex implementations with multiple document sources, integrations, or custom interfaces take 4-6 weeks. The initial version focuses on high-value use cases, with expansion based on team feedback.
Ready to Unlock Your Team's Knowledge?
Book a free knowledge audit. We'll review your docs, identify the best starting point, and show you exactly how the assistant would work.
See What You Could Automate
Tell us what's eating your time. We'll show you what's automatable — and what's not worth it.