AI agents that
run your ops

Every project gets a fixed price — no hourly billing, no surprises. Simple workflow automations like email/SMS sequences or lead routing typically run $300–$500. Multi-step automations with integrations across several tools are $1,000–$2,500. Full CRM architecture rebuilds in GoHighLevel, HubSpot, or Monday.com with AI agents and multiple integrations start at $3,000–$5,000+. I scope everything on a discovery call so you know the exact cost before we start.

Most projects take 1–4 weeks from kickoff to handoff. A single workflow automation like an email sequence or Zapier integration takes 2–3 days. Multi-step systems with several integrations take 1–2 weeks. Full CRM rebuilds with AI lead scoring and pipeline automation take 3–4 weeks. Every project is scoped on a discovery call so you get a specific timeline before committing — not a guess.

Not at all. I'm based in Rawalpindi, Pakistan (GMT+5) and work a night schedule specifically to overlap with US and UK business hours. I'm active during US morning and midday hours and full UK business hours, so async communication and live calls both work without you adjusting your schedule. All updates are delivered via Loom videos so you can review them whenever suits you.

Yes — for agencies I typically operate as a white-label automation and CRM partner, building the technical implementation behind the agency's client-facing brand. For direct clients like law firms, dental and med spa practices, and home services businesses, I work directly on their systems without an agency in between. Both engagement types work the same way — fixed price, scoped on a discovery call.

Systems where AI agents do real work inside your business, not just chat. An agent reads an inbound lead, works out intent, scores it, books the appointment or flags it for a human, and updates your CRM — while standard automation handles the reliable, repetitive steps around it. In practice that means lead qualification agents, AI follow-up, document processing and CRM systems that stay accurate on their own. The goal is ops that run without someone babysitting them.

Workflow automation follows fixed logic — if X happens, do Y. A new lead triggers a follow-up email sequence, for example. An AI agent makes contextual decisions using a language model — reading an inbound message, understanding intent, and deciding how to respond or route it without a hardcoded rule for every scenario. Most projects combine both: automation handles the reliable repetitive steps, AI agents handle the parts that require judgment. If you're not sure which you need, that's exactly what the discovery call is for.

Before the call I'll review your project submission so we're not starting from scratch. On the call — 30 minutes — I scope the project, ask the right questions, and tell you exactly what I'd build and how long it would take. Within 24 hours after the call you'll receive a fixed price quote. No vague estimates, no follow-up chasing. You decide if you want to proceed — no pressure either way.