You will get AI Knowledge Base Setup for Your Business or Team
Project details
I build AI knowledge bases and LLM wiki systems for businesses that want
their AI tools to actually work — not just answer generic questions, but
operate with real knowledge about your business, processes, and domain.
My background is 14+ years in enterprise IT across ITSM, ITAM, FinOps,
and process design. I have built and deployed these systems in live
operational environments, not just as experiments. I know what good
knowledge architecture looks like, what breaks retrieval, and how to
structure content so AI can use it reliably.
What you get is a structured, AI-ready knowledge base built from your
existing documentation — organized, formatted, and delivered with clear
guidance on how to maintain and expand it.
their AI tools to actually work — not just answer generic questions, but
operate with real knowledge about your business, processes, and domain.
My background is 14+ years in enterprise IT across ITSM, ITAM, FinOps,
and process design. I have built and deployed these systems in live
operational environments, not just as experiments. I know what good
knowledge architecture looks like, what breaks retrieval, and how to
structure content so AI can use it reliably.
What you get is a structured, AI-ready knowledge base built from your
existing documentation — organized, formatted, and delivered with clear
guidance on how to maintain and expand it.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Generated Code, Conversational AI, Image Recognition, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, NVIDIA AI PlatformAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | ||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$25Frequently asked questions
About Sandis
AI Knowledge Base & Workflow Automation Specialist | ITAM - ITSM - n8n
Marupe, Latvia - 7:46 pm local time
for businesses that want AI to actually work in their day-to-day operations — not just
in demos.
My background is 14+ years in enterprise IT: ITSM, ITAM, SAM, FinOps, platform
ownership, and process design. That means I understand the operational reality before
I touch any tooling — what data exists, what processes are broken, what needs fixing
before automation makes sense.
What I can build for you:
- Organizational knowledge bases and LLM wiki systems — structured for AI retrieval,
consistent output, and practical daily use
- Skill frameworks for AI workspaces — domain-specific instruction sets that make
LLM output reliable and production-ready
- Automation workflows: n8n, Make, API integrations, AI agent pipelines
- Model Context Protocol (MCP) integrations — connecting AI to your live systems and data
- ITAM/SAM consulting: software asset management, license optimization, tooling
selection and implementation (Flexera, Snow Software, ServiceNow SAM Pro, USU,
Lansweeper and others)
- Process analysis and automation opportunity assessment with ROI framing
Tools and platforms I work with:
Claude, Claude Code, Claude Cowork, OpenAI, Google Gemini, n8n, Make, MCP,
OpenClaw, Hugging Face, LangChain, LangGraph, Python, DuckDB
I work async, communicate clearly, and deliver documented outputs you can actually
maintain and build on.
Steps for completing your project
After purchasing the project, send requirements so Sandis can start the project.
Delivery time starts when Sandis receives requirements from you.
Sandis works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and audit
Review your existing documents, tools, and workflows to identify what knowledge exists and how it should be structured for AI use
Knowledge base architecture
Description: Design the structure, categories, and retrieval logic based on your use case and the AI tools you are using