I've been writing software for over ten years. That gave me a
healthy respect for existing systems - new tools have a cost, and
that cost is real. I carry that into AI work: deliberate about what
I adopt, serious about governance, and focused on what gets used
after the kickoff.
I work directly with you - the founder, the CTO, the engineer
running the project. No handoffs, no account managers.
Based inVancouver, Canada
I work inCoaching · Automation · Apps
ClientsWorldwide, remote-first
What I help with
Solution first, build later
Sometimes answer is coaching, sometimes workshop, and sometimes automation or custom software.
I might even say: don’t build this!
01
AI coaching
For founders, operators, and technical leads who need clear judgment before spending more money. We review your workflows, tools, data, and risks, then decide what is worth building.
02
Team workshops
Hands-on sessions using your real workflows. Your team learns how to use AI inside work they already do, not in toy demos. Half-day to multi-day, remote or in-person.
03
Workflow automations
Narrow systems for repetitive work: triage, extraction, routing, summaries, CRM updates, reporting, and document review. Built into your existing tools.
04
AI-Powered Apps
Internal tools or customer-facing AI features, built from idea to production. Your team gets code, docs, and handover.
Case Studies
Built, shipped, still running.
A sample of what's been shipped. Open any one to see how it was built.
Challenge
800 tickets a day. 8-hour first response. The team was drowning.
800+ tickets a day, routed by hand. First-response time
past 8 hours. Password resets buried under genuine
outages.
What we built
An agent that reads every ticket, classifies intent,
routes it, and drafts replies for routine cases.
Anything it's unsure about goes to a human — with the
context already attached.
Result
62% of tickets resolved with no human touch. First
response down to under 12 minutes. The team now spends
its day on hard problems, not sorting.
PythonLangGraphOpenAIZendesk API
Triage Queue — Live
#9012Card declined on renewal, need helpBilling
#9013API returning 500 across all endpointsUrgent · Eng
#9014How do I reset my password?Auto-replied
#9015Export to CSV not workingAuto-replied
#9016Requesting refund — service outageBilling
—Routing confidence avg96.1%
Challenge
Three days to process one invoice. By hand. Every time.
The AP team keyed invoice data by hand across dozens of
vendor formats. Three-day turnaround, typos, and missed
early-payment discounts.
What we built
A pipeline that reads any invoice layout, pulls the
fields with a confidence score, checks them against the
PO, and flags only the lines worth a human's time.
Result
Four minutes per invoice instead of three days. 98% go
straight through untouched. The early-payment discounts
they used to lose now get caught.
PythonGeminiOCRNetSuite API
Invoice #INV-44821 — Extracted
VendorCascade Logistics Ltd99%
Invoice date2026-05-1899%
Subtotal$14,280.0098%
Tax (GST)$714.0097%
Total$14,994.0099%
PO matchPO-7741 ✓review
Terms detected2/10 NET-30✓
Challenge
Reps didn't update the CRM. Managers found out a deal was gone after it was already gone.
Reps skipped CRM updates after calls. Managers found out
a deal was slipping only when it was already gone.
Coaching ran on memory.
What we built
A pipeline that transcribes every call, pulls out action
items, objections, and competitor mentions, scores deal
risk, and writes it back to the CRM. No manual entry.
Result
Every call now logged on its own. Risk flags show up
about two weeks earlier. Managers coach from what was
actually said.
PythonWhisperClaudeSalesforce API
Call Summary — Acme Corp · 32
min
Action Items
Send updated pricing for 50-seat tier by Fri
Loop in their security lead re: SOC2
Risk Signals attention
Competitor mentioned: "evaluating Vendor X too"
Budget approval slipped to next quarter
Deal Risk Score
58 · Medium
Challenge
Twenty years of documents. No way to search them. Knowledge walked out the door with every person who left.
Associates spent hours hunting precedent across 20 years
of matters scattered over drives, email, and a system
nobody trusted. Knowledge left when people did.
What we built
A search layer over the whole document corpus. Ask in
plain language, get the exact clause or precedent back —
with a citation to the source file and page. (Under the
hood: a layout-aware RAG pipeline with semantic
ranking.)
Result
About 40 associate-hours a week back. Precedent found in
seconds, not half a day. Knowledge stopped depending on
who you knew to ask.
PythonRAGChromaDBVertex AI
Knowledge Search
⌕indemnification cap precedent — SaaS MSA
MSA_TechCo_2024.pdf · p.1297%
MSA_Northstar_2023.pdf · p.894%
Redline_Q3_template.docx · §9.291%
Challenge
Bestsellers running out during every spike. Slow stock sitting on shelves. Gut feel running the whole thing.
Inventory ran on spreadsheets and gut feel. Cash tied up
in slow stock while the bestsellers ran out during every
spike.
What we built
A forecasting model trained on sales history,
seasonality, and promotions. It produces per-SKU 90-day
demand with confidence bands, straight into the planning
system.
Result
Overstock down 31%, freeing working capital. Stockouts
on top SKUs cut by more than half. Planners moved from
firefighting to planning ahead.
PythonXGBoostProphetBigQuery
SKU-4821 · 90-day demand+18.4% vs prior
JanFebMarAprMayJunJulAugSep
How it works
Everything starts with a call.
1
A call
We talk about what you're dealing with. I ask questions. If I think I can help, I'll tell you how. If I don't, I'll tell you that too.
2
Scoping the work
Coaching, a workshop, an automation, or a full build — scoped to what you actually need. Not a package.
3
The work
Sessions, a delivery, or a shipped system. Remote or in person. You own everything when it's done.
4
After
A lot of clients stay in touch. Occasional calls, a retainer, or a message when something comes up. That's up to you.
Clients
What they say after.
“Ali told us we were building the wrong thing, then built the right one. Six months in production, not a single fire drill.”
Operations DirectorFinancial Services · Toronto
“The first person who asked to see our data before pitching anything. Proposal in three days. Live in eight weeks.”
VP EngineeringPropTech · Vancouver
“It caught a compliance gap we didn't know we had. That one find paid for the whole project.”
General CounselSaaS · Seattle
“Our team came in skeptical and left building. The bootcamp paid for itself in the first week back at our desks.”
Head of ProductLogistics · Calgary
“We'd burned two vendors before this. The difference was that it shipped, and it still runs without us calling for help.”
COOManufacturing · Portland
“Plain answers, no hype, no upsell. Rare in this space. We knew exactly what we were paying for and why.”
Founder & CEOHealthTech · Austin
“Ali found the bottleneck in one session. The automation gave us back a full day every week.”
Revenue Operations LeadB2B SaaS · New York
“The system fits how our team already works. Adoption was immediate because nobody had to learn another tool.”
Managing DirectorProfessional Services · London
“Ali told us we were building the wrong thing, then built the right one. Six months in production, not a single fire drill.”
Operations DirectorFinancial Services · Toronto
“The first person who asked to see our data before pitching anything. Proposal in three days. Live in eight weeks.”
VP EngineeringPropTech · Vancouver
“It caught a compliance gap we didn't know we had. That one find paid for the whole project.”
General CounselSaaS · Seattle
“Our team came in skeptical and left building. The bootcamp paid for itself in the first week back at our desks.”
Head of ProductLogistics · Calgary
“We'd burned two vendors before this. The difference was that it shipped, and it still runs without us calling for help.”
COOManufacturing · Portland
“Plain answers, no hype, no upsell. Rare in this space. We knew exactly what we were paying for and why.”
Founder & CEOHealthTech · Austin
“Ali found the bottleneck in one session. The automation gave us back a full day every week.”
Revenue Operations LeadB2B SaaS · New York
“The system fits how our team already works. Adoption was immediate because nobody had to learn another tool.”
What if we're not sure AI is even the right fit for us?
Then we don't build anything yet. Start with AI coaching: we review your workflows, tools, data, and risks, and decide together what's actually worth doing. Sometimes the honest answer is don't build this — and that conversation alone usually saves more than it costs.
How much does it cost, and how do you price engagements?
It depends on scope, and you'll get the range before you commit to anything. Coaching and workshops are fixed-fee. Automations and custom apps are scoped per project after a short discovery call — no open-ended hourly billing and no surprise invoices. If a project isn't worth the spend, I'll tell you.
How is this different from hiring an AI agency or another vendor?
You work directly with the engineer doing the work — not an account manager who hands your project to whoever is free. Ten years in software means I respect the systems you already have and care what still runs after the kickoff. No bloated retainer, no AI theater.
How quickly can you deliver something useful?
Days, not months, for a working demo. I scope narrowly, ship something real fast, and build from there — so you see value before committing to a larger buildout.
Do you only build, or do you also train our team?
Both. Many engagements start with coaching or a hands-on workshop on your real workflows, so your team can actually use AI in the work they already do. I only build automation or apps when it's clearly worth it.
Is our data safe, and can you work with our existing tools and stack?
Yes. I build into the stack you already use rather than forcing a new platform, and I'm deliberate about governance and data handling. Security and what happens to your data are part of the scoping conversation, not an afterthought.
What happens after delivery — will we depend on you forever?
No. You get the code, documentation, and a proper handover, so your team can run and extend the system without me. I'm around if you want ongoing help, but you're never locked in.
What size companies do you work with?
Founders, startups, and operating teams inside larger companies — anywhere a single senior, hands-on partner beats a big vendor. Clients are worldwide and remote-first.
How do we get started?
Book a 30-minute AI clarity call. No deck, no pitch — bring your problem and get an honest answer on whether I'm the right person for it.
Let's figure out if I can help.
No deck, no pitch. Just your problem - and an honest answer on whether
I'm the right person for it.
