Landing
AI Business Systems
Practical AI-assisted workflows for small and mid-sized businesses.
Many companies do not need a complex AI platform at the beginning. They first need to understand which repeated tasks can be simplified: emails, documents, requests, reports, internal knowledge, onboarding, and finance checks.
Structure
What an AI workflow can look like
An AI workflow is usually a chain of simple steps. For example, a new email arrives, the text is classified, important information is extracted, a summary is created, a task is logged, and a draft reply is prepared for human review.
Prototypes
Demo workflows
AI Email & Request Triage
Classify incoming emails by topic and urgency, extract key information, create a tracker row, and prepare a draft response.
Invoice & Document Extraction
Extract supplier, amount, date, due date, reference numbers, and missing fields from invoices or PDF documents.
Weekly Manager Summary
Summarize weekly requests, issues, delays, overdue actions, and risks into a concise management email.
Internal Knowledge Assistant
Help employees find relevant internal instructions, SOPs, policies, or training content using approved company materials.
Finance Red Flag Report
Review monthly business numbers and highlight warning patterns such as falling margin, missing cash, unclear payback, and rising costs.
Prototype direction
First demo direction: AI Email & Request Triage
A concrete example of how a small workflow can be assembled and kept under human control.
- 1A new email arrives in a shared inbox
- 2AI classifies the request by topic and urgency
- 3Key details are extracted into fixed fields
- 4A tracker row is created
- 5A draft reply is prepared
- 6A human reviews and approves before sending
This is a planned demo direction, not a delivered client implementation. Nothing here is running in a production environment for a customer.
Toolbox
Possible tools
Lovable
Demo interfaces and prototype front ends
Make, n8n, or Zapier
Workflow automation and step orchestration
Gmail and Google Sheets
Simple prototypes with familiar tools
OpenAI, Claude, or Gemini
AI text analysis, classification, drafting
Airtable or Notion
Structured tracking and lightweight databases
The tool choice always follows the business case. These workflows are presented as concepts, planned demos, and prototype directions — not as completed client projects.
Tools and implementation approach
Depending on the business case, workflows can be prototyped using tools such as Lovable, Google Sheets, Gmail, Make, n8n, Zapier, Airtable, Notion, and AI models such as OpenAI, Claude, or Gemini. Real implementation depends on the client's systems, data protection requirements, permissions, and approval rules.
Human review by default
For business-critical processes, AI should help prepare information, summaries, drafts, and checks — not silently make sensitive decisions. Human approval, auditability, and clear responsibility should stay part of the workflow.