I build AI that runs
your business
An AI engineering practice for startups and operators. I find the bottlenecks in your business and replace them with AI, automation, and the lightest software that solves the problem. Shipped, not pitched.
One operator. End-to-end. No layers.
Rayyan Consulting is a solo AI engineering practice run by Rayyan Abzal out of Auckland. I've shipped production systems across creator-economy CRMs, payout automation, and on-chain platforms. Different domains, same engine: find the manual bottleneck, replace it with the lightest system that solves it.
Solo by design. The person who scopes your project is the person who writes the code, deploys it, and answers when something breaks. No accounts team, no junior dev getting handed the actual build. You talk to me, I write the system, you get the outcome.
AI is a tool, not a deliverable. Four principles shape every engagement.
AI should replace work, not add it.
If implementing AI means more tools to learn, more dashboards to check, or more processes to follow, it's the wrong implementation. Good AI is invisible to the people whose work it replaces.
Start with the bottleneck, not the technology.
"We should use LLMs" is not a project. "This manual process eats 20 hours a week" is. Find the real bottleneck, then choose the lightest tool that solves it. Sometimes an LLM, often just well-built automation.
Build for the team, not the demo.
AI tools are only valuable if non-technical people use them every day. Ship simple interfaces a team adopts in an afternoon, not impressive demos that gather dust in a Notion doc.
Measure in hours saved, not features shipped.
The only metric that matters is whether the business runs faster after the build. Every proposal names the manual hours we expect to eliminate, and we measure against that at handover.
AI-first. Full-stack when needed.
If your problem doesn't fit a chip below, the ./discovery call is free. We'll figure it out together.
Most engagements start with finding where AI or automation can replace manual work, then shipping the lightest system that does it. When the project needs a full product or platform, I build that end-to-end too.
// [✓] = primary focus · examples, not a fixed menu
Outcomes, not just code.
Each case study leads with what changed for the business. Stack and approach beneath.
client_engagements
Influence
Team went from spreadsheets to a purpose-built platform. Outreach runs end-to-end.
Internal CRM that ingests creator data, calculates estimated value, matches campaigns, and automates follow-up reminders. Replaced a manual scouting workflow that consumed hours per week.
FeedHack
Zero manual overhead. Submissions, validation, and payouts run automatically.
End-to-end automation handling Discord-based clip submissions, automated validation, rank-based payouts, and a full web dashboard. Replaced a manual review pipeline.
pumpdat
Shipped end-to-end: contracts, real-time feed, frontend, auth. Live and handed over.
Full-stack token launchpad: Solidity contracts, real-time trade feed, frontend with wallet and Twitter auth. Pump.fun-style mechanics, built from scratch.
Influence v2
Ground-up rebuild, broader scope, new brand. In active build.
Same client returned for a full platform: campaign management, AI-driven creator scoring, outreach automation, analytics.
personal_builds
Built for myself, to learn, scratch an itch, or test how far AI can go.
FIOS
B2B SaaS enrichment API. Turns fragrance names into structured product data (notes, accords, longevity, AI-generated descriptions, images). Production-grade auth, rate limits, async batch enrichment.
ARIA
AI-powered personal stylist mobile app. Upload an outfit photo and chat with ARIA for specific style feedback based on occasion, weather, and goals. Vision API end-to-end.
NZ Job Finder
Scrapes Seek, LinkedIn, Indeed for grad and intern roles, scores each against your CV, generates tailored cover letters. Two-pass pipeline: seniority filter then full CV match.
Four steps. No black boxes.
Every engagement runs through the same pipeline. You always know what stage we're at.
discovery_call
30-minute call. Problem, goals, constraints. No pitch, just clarity on whether I can help, and if not, where to look.
proposal + process_map
Fixed scope, fixed price, fixed timeline, plus a visual process map that lays out the plan in plain language. Non-technical founders see exactly what's being built.
build_phase
Weekly progress updates, live staging link from day one. Working software at every milestone. No end-of-project surprises.
handover
Full documentation, walkthrough session for the team, and 30 days of free post-launch support. The team owns it day one.
In their own words.
Reliable, insanely skilled, easy to work with. I'd hire him again without hesitation.
Questions, answered.
Let's ship something
Free 30-minute discovery call. No pitch, just a clear answer on whether I can help.