AI systems, built by a senior engineer. Not slide decks.
I'm Farzin. Xerad is an engineering studio I run out of Vancouver, building AI agents, automations, and data systems for teams that want to move faster — without taking on the operational burden of running them. We build, host, and operate what we ship. You focus on the value it produces.
Built by a senior engineer with 10 years of production experience.
A working pilot in your hands within 2–3 weeks.
Fully managed — hosted, monitored, and operated by Xerad.
Cancel anytime: full data export, no penalty.
Farzin — Founder · Senior Engineer
- ALM (Master's) in Data Science, Harvard (candidate)
- Ten years building production systems
- Based in Vancouver, Canada
A senior engineer leads every engagement at Xerad — not an account manager. That engineer is me.
Operations don't break overnight.
They erode quietly.
Manual work eats your team
Your best people spend hours on tasks an AI agent could finish in seconds — copying data between tools, answering the same questions, chasing approvals that should be automatic.
Your data sits silent
You're collecting customer signals, ops events, financials — but it lives in spreadsheets and SaaS dashboards no one reads. The insight is there. The system to surface it isn't.
Off-the-shelf doesn't fit
Generic SaaS forces your business to bend around its workflows. The opposite is now possible: build the system around how your team actually operates.
Example workflows I'd build
A few representative engagements — the kind of work Xerad is built to do.
WhatsApp intake & qualification, in Farsi or English
An immigration consultant gets 30+ WhatsApp messages a week from prospective clients — half don't qualify, the rest get answered in fragments between case work. A bilingual agent handles intake, asks qualifying questions, captures details, and hands off ready prospects with full conversation context. Same pattern works for clinics, brokers, and legal practices — anywhere DMs are the first touchpoint.
Document extraction for paperwork-heavy practices
Tax season at an accountant's office means hundreds of T-slips, receipts, and supporting documents arriving by email and WhatsApp. A pipeline reads the incoming documents, extracts structured fields into the client file, flags what's missing, and queues clean records for human review. Built around the document types you actually handle — not a generic OCR tool you'd have to configure yourself.
Sarafi reconciliation: Interac in, wires out
A money services operator runs dozens of Interac e-transfers in and wire requests out every day, then spends Sunday night matching them against the ledger by hand. An automated reconciliation flow pairs transfers to client orders, flags discrepancies for review, and produces the audit trail without the manual cross-referencing.
Bilingual booking & reminders for appointment-driven businesses
A med spa or dental clinic loses revenue to no-shows and to English-only confirmation flows that older clients ignore. A WhatsApp-first booking agent takes new appointments, sends reminders in the client's language, and handles reschedules — without the front desk chasing anyone manually.
Discovery → Pilot → Build → Operate
Discovery
A working session with your team to map the workflows, surface the bottlenecks, and identify the highest-leverage place to start. You leave with a plan — whether or not we build it.
Pilot
We design and ship a working prototype within two to three weeks. It runs against your real data, in your real environment. You see it work before committing to anything larger.
Build
We host the system on our infrastructure, wire it into your stack, train your team on how to operate alongside it, and provide runbooks for what to expect. The system is ours to maintain; the value it produces is yours.
Operate
We monitor, tune, and extend the system as your business evolves. Most clients stay on a monthly engagement; some take it fully in-house. Either is fine.
What you actually get when you hire Xerad
"We don't know where to start"
You don't need to. We audit your operations, find the highest-impact places to apply AI, and hand you a roadmap with realistic timelines and dollar figures. No buzzwords, no waste.
"Will it work with our stack?"
We integrate with what you already run — CRMs, billing, communication tools, databases, internal apps. If your team uses it, we can plug into it.
"What if AI changes again?"
It will. We design for change — we host the system and handle model and provider swaps ourselves. The system keeps running while AI churns underneath.
NestM8 — AI buyer-qualification agent for real estate
A working AI conversational agent in production for the Vancouver real estate market — built end-to-end as an internal lab project.
NestM8 is where we de-risk patterns before bringing them into client engagements.
See it work →
Structured access to senior engineering
before the case studies are written.
I'm taking 5 companies into Xerad's founding cohort. In exchange for reduced pricing on a pilot engagement, you get the founder on every call, direct input into how the studio works, and your project becomes a featured case study when Xerad publishes its 2026 portfolio.
This isn't a discount because I'm new. It's structured access to senior engineering at a rate that won't exist once these case studies are written.
Pilots are fixed-price. Build engagements run on monthly retainers. Discovery is free.
Have a workflow worth fixing?
Tell me what's slowing your team down. I'll come back with a short read on whether it's a good fit and what a first engagement could look like.
Start a conversation →