Enterprise AI Infrastructure

We Build AI Infrastructure That Makes Every Employee a Superspecialist

Enterprise knowledge bases, AI assistants, and workflow automation — deployed in weeks, not months.

200+
Documents Structured
48
API Integrations
30s
Info Retrieval (was 15 min)
4 wks
To Production
Flagship Case

KOLEO Group

Enterprise AI knowledge system with structured documentation, role-based access, MCP integrations, dashboard reporting, and measurable operational gains.

KOLEO Group AI Knowledge System
International Construction 4 Weeks to Production

KOLEO Group needed to centralize company knowledge, enable AI assistants for leadership, and connect the system to Google Workspace across multiple devices with different access levels.

We delivered a complete enterprise-grade setup in 4 weeks. After launch, the client independently created company-wide SOPs in 2 days and added workflow automation without relying on developers.

Google Workspace integration
Multi-device deployment
Looker Studio dashboard
Role-based access control
200+
Documents structured
48
API integrations
3+
Access levels
30×
Search time: 15 min → 30 sec
Onboarding: 3 weeks → 3 days
4 wks
Time to production
Built with: Claude (Anthropic) MCP Google Apps Script Google Workspace Looker Studio
Process

How We Work

A proven three-step process. From scattered knowledge to a working AI system your team can use and extend.

01

Discovery

We audit your current knowledge landscape, identify where data lives, and map AI opportunities. You get a concrete roadmap.

Typical timeline 1–2 weeks
02

Build

We structure your KB, deploy AI assistants, connect to your tools (Drive, Sheets, Calendar, Jira), and configure access levels.

Typical timeline 2–6 weeks
03

Empower

We train your team, hand over documentation, and ensure you can extend the system independently. No vendor lock-in.

Typical timeline 1–2 weeks
FAQ

Frequently Asked Questions

Practical answers for teams evaluating a structured AI knowledge system.

What is an AI Knowledge Base?

A structured repository of your company's knowledge (docs, processes, prices, templates) organized so AI assistants can access and use it to answer questions accurately.

How long does implementation take?

From 2 weeks for focused services (audit, AI setup) to 4-8 weeks for a full system. Our KOLEO project went to production in 4 weeks.

Do we need developers on our side?

No. We handle all technical setup. Your team only needs to use the system. After delivery, our clients have independently extended their systems without any developers.

How is this different from just buying ChatGPT?

ChatGPT doesn't know your business. We build the knowledge layer and integrations that make AI actually useful for your specific operations.

What AI platforms do you use?

Primarily Claude (Anthropic) and ChatGPT (OpenAI), connected via MCP (Model Context Protocol) to your business tools.

What happens after the project?

You own everything. We offer optional monthly retainer for updates, KB maintenance, and ongoing support.

Discovery Call

Ready to Make AI Actually Work for Your Business?

Book a free 30-minute discovery call. We'll analyze your knowledge landscape and show you exactly what's possible.

Book Discovery Call No commitment · 30 min · Free