FREE AI OPS AUDITS · Q2 · FOR E-COM, B2B & SERVICE OPERATORS · EST. DUBLIN

Automate the repetitive busywork so your team can focus on revenue.

Northrex builds practical AI ops systems for support, sales follow-up, order ops, and internal workflows. Start with one repeatable process, model the savings first, then ship an agent that handles the boring 80% while your people handle the work that actually grows the business.

Book a free AI Ops Audit → See the savings model ↓
ops_audit_savings_model.log
// example savings model · built from your real volumes › manual support load 620 tickets/mo → 250 human touches ✓ target: reduce repetitive workload by 40–60% › first response time hours → minutes ✓ target: faster replies without extra headcount › tickets auto-handled 0% → 50–70% ✓ target: delay unnecessary hiring › operator hours/week 10–25 returned ✓ target: more time for customers and revenue ⚠ // modelled figures · validated during audit
$4K–$10K
potential monthly savings modelled
10–25h
operator hours targeted per week
2–3w
typical first system launch
1
clear process before we build
Built for lean operators using tools like these
Shopify
HUBSPOT
Gorgias
KLAVIYO
Zendesk
INTERCOM
01 / where the money goes

Growth gets expensive when repetitive work keeps landing on people who should be doing higher-value work.

› the support tax

The same 10 customer questions keep eating your team’s day.

"Where's my order?" "Can I exchange this?" "Does it ship to Canada?" Most growing teams do not need fewer people — they need fewer repetitive touches. If 40–60% of your tickets follow clear rules, that is work an AI system can triage, answer, or route before it reaches a human.

› the lost-lead tax

Inbound leads lose value when response time is slow.

Your sales rep replies in 6 hours. Your competitor replies in 6 minutes. The lead converted with them. Every delayed reply weakens the conversion chance. A simple qualification and follow-up agent can respond, enrich the lead, apply your criteria, and book the right calls while the prospect is still warm.

› the founder tax

Founders and managers get pulled into work that should have a system.

Approving refunds. Chasing invoices. Replying to "quick questions." Manually moving leads between Hubspot and your inbox. Approving refunds, chasing invoices, updating CRMs, writing weekly reports — these tasks matter, but they should not live in your head. We turn them into monitored workflows with clear handoff points.

02 / the math

What we model before the boring work runs itself.

Every system starts with one number that should move — ticket volume, response time, qualified meetings, hours saved, or cost per workflow. We do not start with a tool. We start with the business case.

Figures below are example targets for the types of systems we build. On the audit call, we replace these with your actual volumes, costs, and workflow data.

$8.2K

potential support workload reduction

For teams with 500+ monthly support tickets

3.4×

faster lead qualification target

For inbound forms, demos, and quote requests

22h

operator hours targeted per week

For reporting, CRM, invoicing, and admin workflows

4 min

target first response time

For common support and order-status requests

03 / what we build

Start with one AI ops system that can pay for itself in weeks, then expand.

The best first offer is usually narrow: one painful workflow, one measurable number, one system shipped inside the tools you already use. For most e-commerce teams, that starts with support and order ops. For B2B teams, it usually starts with lead qualification and follow-up.

01
Customer support agent
Most-requested

AI Support Agent for Shopify brands handling 500+ tickets per month.

We train your AI on your actual policies and brand voice, embed it in whatever helpdesk you use — Gorgias, Zendesk, Intercom, Help Scout — and tune it monthly until the resolution rate, response time, and cost per ticket all move in the right direction. Edge cases route to a human. Everything else clears itself.

Target: 50–70% tickets auto-handled
Response time: hours → minutes
Savings model built before kickoff
02
Lead qualification & sales agent
B2B favorite

Reply to every inbound lead in under 3 minutes — qualified, enriched, booked.

Inbound form hits → agent enriches the lead from public data → qualifies them against your ICP → replies in your tone → drops a meeting on your calendar if they fit. Sales rep walks into pre-qualified calls instead of dialing for dollars. Same traffic, faster qualification, cleaner handoff.

Target: more SQLs from same traffic
24/7 response, no rep needed
8–15 hours/week back to closers
03
Order ops · WISMO & returns
E-com essential

Kill the "where's my order?" tax forever.

Agent plugs into Shopify, your 3PL, and tracking carriers. Customer asks → agent pulls live shipping status, ETA, last carrier scan, and replies with the actual answer. Handles returns and exchanges end-to-end against your policy. WISMO can be a large share of CS volume. We make those requests faster to answer and easier to route.

Target: reduce repetitive WISMO touches
Returns processed in under 60 sec
Repeat-buyer rate climbs
04
Email & SMS marketing flows
Revenue play

Replace your email agency with flows that actually convert.

We audit your Klaviyo / Postscript setup, identify the leaks, and rebuild flows that personalize per-customer using order history, browsing behavior, and lifecycle stage. Welcome, abandoned cart, post-purchase, win-back — all running smarter, all written in your voice. The goal is a measurable lift in owned-channel revenue without adding another manual campaign process.

Target: measurable email revenue lift
Cancel your $3K/mo agency retainer
Flows that update themselves
05
Cold outreach & inbox manager
B2B growth

Run cold outreach that doesn't sound like cold outreach.

Agent sources leads from Apollo / Clay, researches each one, writes personalized first-touch emails that actually pass the smell test, sends from warmed inboxes, and handles replies until a meeting is booked. Your sales team only sees calendar invites — never the grind that produced them.

Target: qualified meetings booked
No SDR salary required
Inbox triaged automatically
06
Custom internal agent
Founder favorite

The 20-hour-a-week task you keep meaning to delegate.

You know the one. Reconciling invoices. Updating spreadsheets from email. Writing reports nobody reads. Pulling data across 4 tools every Monday morning. We build a custom agent for whatever your specific time-sink is — scoped to one process, one outcome, one set of hours back on your calendar.

Target: 10–25 hours/week recovered
Built around your exact workflow
Pays for itself in < 60 days

Not sure which one would move the needle most for you?

We'll figure it out on the call →
04 / how it works

From messy workflow to first system live in 2–3 weeks.

price: fixed-fee, no surprises
timeline: usually 2–3 weeks to live
support: tuned monthly
STEP 01

Free AI Ops Audit

30-minute call where I look at your actual support volume, lead flow, or whatever's bleeding hours. You leave with a clear savings model — what could be automated, what it would likely save, and whether it is worth building at all.

~ day 1
STEP 02

Train on your business

We ingest your real policies, past tickets, brand voice, product catalog, lead criteria — whatever the agent needs to behave like someone who's worked there for two years.

~ days 2–4
STEP 03

Embed & shadow

Agent goes live inside the tool you already use — Gorgias, HubSpot, Klaviyo, your CRM. Runs in shadow mode against real volume for 72 hours. We tune against your quality bar before anything touches customers independently.

~ days 5–11
STEP 04

Tune monthly after launch

This is the part most agencies skip. We tune monthly until resolution rate, response time, and cost per ticket all move in the right direction. If something drifts, we fix the workflow, prompts, routing, or integrations before it becomes a hidden ops problem.

ongoing
Saif Ali, Founder of Northrex
SA
Add your founder photo at assets/saif-founder.jpg
Saif Ali Founder · Northrex
05 / about
FOUNDER & AI ENGINEER · DUBLIN, IRELAND

I build AI systems that survive real business workflows — not just demos.

My background combines data science, banking, compliance, and business operations. I have worked in environments where accuracy, auditability, and process discipline matter — the kind of environments where a flashy demo is not enough.

That experience shaped how I build: the gap between "it works in a demo" and "it works every day" is where most AI projects fail. The real work is edge cases, fallback rules, monitoring, human handoff, and making sure the system keeps improving after launch.

I started Northrex for operators who want practical automation, not AI theatre. The point is not to replace the team. The point is to remove the repetitive work around the team — support triage, order updates, lead follow-up, reporting, admin — and make the business easier to run.

So that is what Northrex builds: focused AI systems with clear business logic, clean handoffs, and numbers attached before the project starts.

Founder AI Engineer Banking & Compliance E-commerce B2B Dublin 🇮🇪
06 / the toolbox

We build inside the tools you already use.

No unnecessary dashboards for your team to learn. No vague "AI transformation" project. We embed agents and workflows directly inside Shopify, HubSpot, Gorgias, Klaviyo, Zendesk, Intercom, Airtable, Slack, and your existing stack wherever possible.

› 01

LLM & reasoning

OpenAI Anthropic Google AI Groq Llama
› 02

Automation & orchestration

n8n Make Zapier LangGraph Temporal
› 03

E-commerce stack

Shopify Klaviyo Gorgias Recharge Triple Whale
› 04

B2B & sales stack

HubSpot Salesforce Apollo Clay Pipedrive
› 05

Data & memory

Supabase Postgres Pinecone Weaviate Chroma
› 06

Build & deploy

Cursor v0 Vercel Next.js Custom code
› 07

Comms & ops

Slack Twilio SendGrid Notion Linear
› 08

Payments & billing

Stripe Chargebee Paddle QuickBooks
› 09

Voice & multimodal

ElevenLabs Deepgram Vapi Whisper
07 / FAQ

The questions every operator asks before signing.

Most of these come up on the audit call anyway — figured we'd save you the meeting.

Got a question that's not here?

Email me directly →
How quickly does this actually pay for itself?+
Most engagements break even in 30–60 days. A $6K support agent build typically saves $4K–$8K/month in labor — so you're net positive by month 2 and compounding from there. We model your specific numbers on the audit call before you commit to anything.
Do I need to fire my CS team for this to work?+
No — and that's the wrong question. Most clients keep their team and stop hiring. The agent handles the boring 70% (WISMO, returns, FAQs) so your existing humans can focus on the complex 30% that actually builds loyalty. You scale ticket volume without scaling headcount.
What does an engagement actually cost?+
Single-system builds run $4K–$15K fixed-fee depending on integrations and complexity. Monthly tuning retainers are $1K–$3K. No hourly billing, no scope creep invoices. You get a fixed number on the audit call — and we only quote it if the math clearly works in your favor.
What if the agent gives a customer a wrong answer?+
Every agent has guardrails, confidence thresholds, and human escalation paths. If the agent isn't certain, the ticket routes to a human — it doesn't guess. We run a 72-hour shadow period before going live, and you get a dashboard showing every action it's taken. You'll know about a mistake before the customer does.
Will my customers know they're talking to AI?+
That's your call. Some brands are transparent ("Hi, I'm an AI agent — I'll get a human if I can't help"). Others let it sound like the rest of their support team. We train on your tone and voice either way — most customers care about the answer being fast and correct, not who typed it.
What about my customer data and privacy?+
Everything runs on your accounts, your API keys, your infrastructure. We design with privacy and GDPR in mind, use DPAs/NDAs where required, and avoid training public models on your customer data. You own the workflow and the business logic; we build and maintain the system.
What if it stops working in 6 months?+
That's exactly why we tune monthly. Most "AI agencies" ship and disappear — we stay on retainer specifically to keep the numbers moving. New product launches, policy changes, edge cases that pop up — all handled. If the metrics regress, we prioritise fixes inside the support window until the workflow is stable again.
Can I see one running before I buy?+
Yes. On the audit call, we can walk through relevant example workflows and show how the system would behave for your business. No pitch deck needed — we focus on the process, the edge cases, and the numbers.
08 / let's talk

Tell me what is bleeding hours. I’ll show you whether it is worth automating.

30-minute call. No discovery fee. We look at your actual numbers — support volume, lead flow, order ops, reporting, or admin time-sinks — and map the first workflow worth automating. If the math does not work, I’ll say so.

Book a free AI Ops Audit → See what we build ↑
Saif Ali
Founder · Northrex
"Most AI projects start with tools. I prefer starting with the workflow, the cost, and the number that needs to move. If the business case is weak, we should not build it."
EMAIL › saif@northrex.eu → LINKEDIN › /in/saif-ali ↗