AI Agents · Agentic AI · Sustainable ML
I am Ahmad Zia — a senior AI agents consultant and green machine learning researcher. I design, build, and run custom agentic AI for ecommerce brands, SaaS founders, and agencies. Every engagement applies sustainable ML principles: lean infrastructure, owned tools, and migration away from expensive paid APIs. Trusted by 300+ clients across 26 countries.
🌿 Sustainable AI · 27 specialized services · Fast reply on inquiries
What I build
Six core capability areas across 27 specialized services. Every engagement is built around a real business outcome — not generic AI advisory. Most clients use 2–3 capability areas across the lifecycle of their AI investments; the compounding effect when agents share data and infrastructure cascades is where the largest gains come from.
My signature engagement. Right-sized models, cached embeddings, batch processing, and migration from paid APIs (OpenAI, Claude, Gemini) to self-hosted open-source models. Typical clients cut AI infrastructure costs 60–95% with matching or improved output quality.
See signature engagement →Bespoke agentic AI for Pinterest marketing, Reddit outreach, Shopify trust monitoring, Amazon listing intelligence, content generation. Built for your business, owned by you forever — no recurring SaaS subscriptions, no vendor lock-in.
Browse custom builds →Unified AI agent layer connecting Shopify, Amazon, Etsy, Pinterest, Reddit. Insights propagate automatically — Amazon keyword wins flow to Shopify SEO and Pinterest pins without manual coordination across teams.
See the engagement →Make your store visible to ChatGPT, Perplexity, Gemini, and Google AI Mode shopping agents. Full schema infrastructure, ACP/UCP/AP2 protocol setup, content extractability, citation flywheel positioning for the 18-month first-mover window.
Learn more →Replace Helium 10, Klaviyo AI, Jasper, Tidio, Tailwind with custom Python tools you own forever. Compute typically costs $5–$50/month versus $200–$1,500/month for the SaaS subscriptions you are replacing.
See the build →Senior judgment for AI decisions that matter. One-time strategy sessions ($500), comprehensive roadmap engagements ($2,500+), fractional AI lead retainers ($2K–$5K/mo). Match the cadence to your decision-making rhythm.
Start with a session →🌿 Signature Engagement · Green AI · Sustainable Machine Learning
OpenAI, Claude, and Gemini charge per-token rates designed for vendor margins, not your unit economics. Self-hosted open-source models — Llama 3.1, Mistral, Qwen, fine-tuned on your data — typically deliver matching or better output quality at 5–10% of the cost. This is sustainable AI in practice: lower spend, lower energy use, owned forever. It is the engagement where my green machine learning research delivers its largest single impact.
Services · 27 engagements · 4 tiers
Most businesses need one of four things: a diagnostic to figure out what is broken, a custom AI agent to replace expensive SaaS, done-for-you execution to move a metric, or senior judgment on strategic AI decisions. Match where you are right now to the tier that fits.
Diagnostic engagements that quantify what to fix.
From $300 · 5–10 days
8 servicesOwn the AI agent forever instead of renting.
From $2,500 · 3–6 weeks
11 servicesI execute the work that moves your metrics.
From $800 · 1–12 weeks
5 servicesSenior judgment from one-off sessions to retainers.
From $500 · ongoing
Featured engagements
A 4–6 week deep strategy engagement that produces a 30–50 page roadmap your team can execute against for the next 12 months.
A 90-minute deep dive that maps where AI moves the needle in your specific business — with a written roadmap you can act on.
Get your whole team building AI tools in 1–3 days. Workshops led by a working consultant — not theory, real practice.
Senior AI leadership on retainer — without the $250K cost of a full-time hire. Monthly strategy, oversight, and execution access.
Senior strategic check-ins every 90 days — for founders who want regular AI judgment without committing to a monthly retainer.
An owned content generation engine that produces brand-aligned blog posts, product descriptions, email copy, and social posts at scale — for $30/month in compute.
Free AI agents · Try before you hire
Each free AI agent below solves a specific ecommerce problem — Shopify trust signal auditing, Amazon competitor keyword extraction, Amazon rank tracking. Live working systems, not demos. Run them on your store to see what is broken, then decide if you want the custom version built for your business.
Track your Amazon product rank for any keyword — see exactly where you stand vs. competitors in real time.
Try the agent →Reverse-engineer any Amazon competitor's keywords, search volume, and ranking strategy — free, no signup.
Try the agent →Know if your store builds trust — before they do. Free AI-powered trust audit in 30 seconds.
Try the agent →Why work with me
Generic AI agencies sell horizontal advisory and bill hourly. I sell specialized AI agent implementation for ecommerce, SaaS, and agency businesses at fixed prices, with sustainable machine learning expertise other consultants do not have. The combination compounds — better fit, lower running costs, owned tools, predictable engagement economics.
I work specifically with ecommerce, SaaS, and agency businesses — not as a horizontal AI consultant. Every service built around real outcomes in these verticals. Specialists deliver outcomes; generalists deliver frameworks.
I research and teach green machine learning at the University of Lahore. My builds use sustainable AI principles — right-sized models, cached inference, batch processing, open-source over paid APIs. Typical client running costs 60–95% lower than equivalent generic implementations.
Every custom AI agent I build is yours forever. No subscriptions, no vendor lock-in, no recurring fees beyond minimal compute costs of $5–$50/month. Three-year ownership economics almost always favor custom builds over SaaS rentals.
Every service shows starting price, typical range, and delivery time publicly. Fixed-price quotes after the discovery call. No hourly billing, no scope creep, no surprises. You know what you are paying before committing.
Active green ML research at the University of Lahore keeps the consulting current with the field. Active consulting keeps the research grounded in real outcomes. This dual practice is rare in AI consulting and matters when you need someone who knows both why a technique works and when it actually delivers.
Roughly 20–30% of discovery calls end with me recommending a smaller engagement, a different service, or no engagement yet. Saying "this is not the right time" is consulting integrity — built into how every engagement starts.
Recent results
Selected outcomes from recent client engagements — starting position, work delivered, measured results, ROI math. These results are illustrative of typical engagement outcomes; specific numbers vary based on starting position and scale.
A 4-year-old Shopify home goods store had a brutal cold traffic problem — 1.2% conversion rate from cold ad traffic, versus 5.8% from warm traffic. Here's exactly what 5 trust signals were broken, what we fixed, and how the conversion rate doubled in 30 days.
Read full case study →Real case study: how Amazon Reverse ASIN research plus targeted listing optimization moved a private label kitchen product from page 4 to position #3 for an 18,000-search-volume keyword. The exact 4-step methodology, with specific findings.
Read full case study →A real case study: how I audited a Shopify store's AI stack using green ML principles and reduced their monthly API spend from $1,400 to $530.
Read full case study →🌿 Sustainable AI · Green Machine Learning
Green AI — also called sustainable machine learning — is the practice of building AI systems that deliver strong output while using less compute, energy, and cost. For ecommerce in 2026, this means right-sized models instead of GPT-4 by default, cached inference instead of repeated API calls, and migration from paid APIs (OpenAI, Claude, Gemini) to self-hosted open-source models that match output quality at a fraction of the cost.
My research at the University of Lahore focuses on applying green machine learning to real ecommerce workflows. Most AI implementations today are wildly overbuilt — burning expensive compute on tasks that simpler, fine-tuned open-source models handle just as well. I redesign these stacks: smaller models where they work, smarter caching, optimized prompts, and lean inference pipelines. The result is typically a 60–95% reduction in AI infrastructure cost with the same or better output quality.
What clients say
Feedback from recent ecommerce, SaaS, and agency engagements. Attribution anonymized to protect client confidentiality; client type and category are accurate.
"I came expecting a generic AI agency. Got something better — Ahmad migrated our entire AI stack from paid APIs to self-hosted open-source models and cut our monthly bill 89% with no quality drop. This is sustainable AI in practice, not pitch deck talk."
"The custom AI agent he built for our Reddit outreach delivered 47 qualified leads in 90 days. Owned tool, $12/month to run, no SaaS subscription. The economics versus generic lead gen platforms are not close."
"Our Shopify, Amazon, and Pinterest tools were completely siloed. The multi-platform AI agent sync he built propagates Amazon keyword wins to Shopify SEO and Pinterest pins automatically. $187K annualized revenue lift in year one."
"Custom AI agents for 6 of our client brands replaced $2,800/month in white-label AI vendor costs. Owned forever. Best $7,800 we have spent on tooling in two years."
"Page 4 to position #3 on an 18K-volume Amazon keyword in 60 days. The reverse ASIN methodology and listing rebuild did the actual work — generic tools told us nothing useful by themselves. Engagement paid back inside week 6."
"We tried three generic AI consultants before finding Ahmad. The difference is depth — he understands ecommerce specifics, sustainable machine learning, and how AI agents compound across platforms. Wish we had started here."
Frequently asked questions
Everything ecommerce founders, SaaS operators, and agency owners typically ask before booking a discovery call. Anything else, just email me directly.
An AI agents consultant designs, builds, and runs autonomous AI systems that take action on behalf of an ecommerce business — generating product listings, monitoring competitor data, optimizing conversion funnels, managing customer outreach across platforms, and replacing expensive SaaS subscriptions with owned tools. I specialize in agentic AI for Shopify, Amazon, Etsy, Pinterest, and Reddit businesses with $500K to $50M in annual revenue.
AI automation runs predefined workflows: if X then do Y. Agentic AI makes decisions and adapts to context — observes the state of your business, decides what to do, and executes without scripted instructions for every scenario. For ecommerce, this means an AI agent that monitors Amazon competitor pricing, decides when to adjust listings, drafts the changes, and learns from the outcome. Automation is rules-based and brittle; agentic AI is judgment-based and resilient.
Green AI — also called sustainable machine learning or sustainable AI — is the practice of building AI systems that deliver strong output while using less compute, energy, and cost. For ecommerce, this typically translates to 60–95% lower AI infrastructure costs versus generic implementations. My green ML research at the University of Lahore focuses on right-sized models, cached embeddings, batch processing, and migrating from paid APIs to self-hosted open-source models that are cheaper, faster, and tunable to your specific brand.
Yes — this is my signature engagement. Most businesses spending $1,500+/month on OpenAI, Claude, or Gemini APIs can migrate to self-hosted open-source models (Llama 3.1, Mistral, Qwen) with fine-tuning on their specific data. Typical outcome: 80–95% cost reduction with matching or improved output quality. Three-year savings often $50,000–$300,000 depending on scale. The migration engagement starts at $4,500 and pays back within 3–6 months.
Custom AI agent builds range from $2,500 to $15,000 depending on complexity. Single-purpose agents (Pinterest engine, Reddit marketing agent, custom Shopify trust audit) typically run $2,500–$5,000. Multi-platform orchestration systems run $5,000–$8,000. Premium engagements (headless commerce AI integration, agentic commerce readiness) run $8,000–$15,000. All pricing is fixed-quote after a free discovery call.
Deep specialization in Shopify (including Shopify Plus and headless Hydrogen), Amazon FBA, Etsy, Pinterest, and Reddit for marketing. Strong working knowledge of BigCommerce (including Catalyst), WooCommerce, eBay, Walmart Marketplace, and custom headless commerce. I also work with SaaS businesses, marketing agencies, and digital service providers on AI agent implementation beyond ecommerce.
Audits ($300–$1,500) diagnose what is broken and quantify the cost. Custom builds ($2,500–$15,000) create owned AI agents that replace SaaS. Implementations ($800–$15,000) execute specific work that moves your metrics. Strategy engagements ($500 one-time to $5,000/month retainer) provide senior judgment without execution. Most clients use 2–3 engagement types across the lifecycle of their AI investments.
Discovery calls are typically scheduled within 3 business days. After the call, you receive a fixed-price scope within 24–48 hours. Audits and strategy work usually start within 7 days. Builds and implementations typically start within 14 days. Premium engagements allow 14–21 days from agreement to start due to architecture planning.
Based in Lahore, Pakistan. Approximately 88% of engagements are with international clients across the United States, United Kingdom, European Union, Australia, GCC region, and Southeast Asia — 26 countries total over the last 7 years. All work runs on the client's timezone with calls scheduled Monday through Saturday from 8 AM to 11 PM Pakistan Time, covering most major business hours globally.
Three structural differences. First, specialization — I work specifically with ecommerce, SaaS, and agency businesses, not as a horizontal AI consultant. Second, sustainable ML expertise — green AI principles deliver 60–95% lower running costs than generic agency implementations. Third, public fixed pricing — every service shows starting price, typical range, and delivery time. No hourly billing, no surprise scope changes. Combined with University of Lahore green ML research and 300+ engagements across 26 countries, these create a service portfolio designed for compound long-term value.
Every engagement starts with a free discovery call. No commitment, no obligation. If we are not a fit, I will tell you directly. If we are, you receive a fixed-price scope within 48 hours.
🌿 Sustainable AI · 300+ engagements · 26 countries · 7+ years consulting · Green ML researcher · AI Cost Optimization