AI Leverage Audit
I review workflows, tools, CRM data, handoffs, and reporting to identify where AI and automation can create the highest leverage.
AI operations systems for practical business bottlenecks
I build AI systems that save teams hours every week. Güney Karagöz builds AI agents, AI assistants, AI voice agents, chatbots, workflow automation, dashboards, reporting systems, SOP portals, and CRM workflows around the way a team actually works.
The work starts with business operations, not with a random tool demo. I look for manual intake, missed follow-up, scattered reporting, CRM cleanup, support triage, SOP retrieval, repeated copy-paste work, and unclear handoffs. Then I map where AI can reduce workload, improve response speed, make data easier to trust, and give the team clearer visibility into what is happening.
The first step is a discovery call. If there is a real fit, the next step is an AI Leverage Audit. The audit reviews current workflows, tools, CRM data, documents, reporting, handoff rules, data readiness, risks, and implementation complexity. Implementation is scoped after the audit, so the build plan, timeline, and price match the actual business need.
Services connected to the homepage
The main service pages explain how AI implementation can be applied across workflow audits, agents, assistants, chatbots, voice agents, automation, dashboards, reporting, SOPs, and team enablement.
Use cases and audit flow
The use case and audit pages connect the offer to practical business problems: lead intake, support triage, appointment booking, CRM follow-up, reporting, internal knowledge, and team adoption.
AI operations articles and case studies
The blog explains the tools and implementation thinking behind AI-first operations, including Google Apps Script, n8n, Airtable, Glean, Retool, Clay, and private reporting systems.
- AI Operations Blog
- AI Healthcare Intake Workflows for Clinics and Healthcare Teams
- AI Voice Agents for Appointment Booking | Reduce Missed Calls and Manual Scheduling
- Reduce Lead Response Time With AI | Practical Workflow Guide
- CRM Cleanup for Automation: How to Fix the Mess Before You Add AI
- AI CRM Automation for Agencies | Lead Follow-Up, Onboarding, and Reporting
- How I Use Google Apps Script for Internal Web Apps
- Private Social Performance Tracking System for Mozi Media
- n8n for AI-First Operations: Why It Belongs in the Modern Ops Stack
- Airtable for AI-First Operations: Build a Cleaner Business Data Layer
- Glean for AI-First Businesses: Enterprise Search, Knowledge, and AI Agents
- Retool for AI Operations: Build Internal Tools, Approval Queues, and Agents
- Clay for AI-First GTM: Better Lead Research, Enrichment, and Revenue Ops
AI news and business signals
AI News is for dated updates about model launches, product changes, agent capabilities, workflow tooling, and business-relevant AI signals. Each news post should include publish and modified dates, a source, and implementation context.