Most "AI implementations" are off-the-shelf chatbots trained on nothing. I build custom GPT agents that know your product, your policies, and your order data — and Zapier workflows that quietly automate the repetitive ops work eating your team's calendar.
OpenAI · Anthropic · Zapier · Make.com · trained on your data, hosted on your stack
A real AI agent doesn't just answer "what are your hours?" It pulls live order data, applies your return policy, escalates the edge cases, and logs every interaction so you can audit it. That's the gap.
Where most "AI rollouts" land
What I build instead
A ChatGPT-powered agent trained on your FAQ, return policy, product catalog, and order data. Handles 70–85% of inbound tickets autonomously. Escalates the rest with full context.
OpenAI GPT-4o · Anthropic Claude · embeddings · RAG
End-to-end automation for the repetitive work eating your team's calendar — lead routing, order sync, review collection, inventory alerts. With proper error handling.
Zapier · Make.com · webhooks · APIs
Internal dashboards with GPT baked in: drafting customer emails, summarizing call transcripts, generating product descriptions, triaging support tickets — purpose-built for your workflow.
Custom UI · API integrations · Slack/email handoff
A US B2B brand was burning 22 hours/week on inbound support — most of it the same five questions about order status, returns, and shipping. Two weeks later, a custom GPT agent trained on their full FAQ, order data, and return policy was handling 81% of those tickets autonomously, with full audit logs and clean handoff to humans for the rest.
"Adnan always goes above and beyond to ensure customer satisfaction. He's quick to reply, which makes working with him and getting the job done that much easier."
MVVerified Client · Ops LeadUS B2B · ✓ Verified Upwork Review
Ops work replaced
Ticket deflection rate
Kickoff to production
Avg. response time
We map the repetitive work eating your team's calendar — support tickets, lead routing, order processing, content generation. I tell you which slots are genuinely AI-shaped and which aren't.
Custom agent or workflow built and trained on your data. Sandbox testing with your real edge cases — not generic prompts. You see and approve every conversation before it goes live.
Go live with full logging, error alerts to Slack, and a 30-day tuning window where I refine prompts and handoff logic based on real conversations.
Submit the form and I'll review your workflow before we talk. On the call, I'll tell you exactly which repetitive work in your ops is AI-shaped, what to automate first, and what's not worth the hype.