We're not a consultancy.
We're your AI
engineering team.
Qarbi designs, builds, and runs AI workflows that hold up in production. Not slide decks. Not SaaS upsells. Not duct-taped no-code that breaks the first time real-world data hits it. The engineering layer your business needs to actually capture the AI productivity gains everyone keeps talking about.
Five ways to get AI into your business.
Four of them disappoint.
Most operators evaluating AI right now are picking from the same menu. Here's what actually happens with each:
This is why most "AI initiatives" don't ship. We built Qarbi to be the option that does.
Here's how we're different — specifically.
1. You talk to the engineer who builds it.
No project managers. No account executives. No game of telephone. When you work with Qarbi, you talk directly to Jack (founder, 8+ years of production engineering experience) and the senior engineers assigned to your project.
2. We engineer AI workflows like software.
Most "AI automations" are duct tape. Ours have logging, monitoring, evaluation, error handling, runbooks, and version control. Here's the side-by-side:
3. First workflow live in 2–4 weeks.
4. We think about your business, not just the prompt.
- Lead follow-up workflow? We'll wire it to your CRM, score on the data fields you actually use, and route based on rules your sales leaders recognize — not a generic template.
- Customer support agent? We'll evaluate it against your historical tickets, your tone, your knowledge base — not a sandboxed demo dataset.
- Reporting workflow? We'll pull from your real systems, format in your real tone, and respect your real escalation rules.
5. No lock-in. Ever.
- You own 100% of the workflows we build.
- They run on your infrastructure (or whichever you choose), not ours.
- We use standard, well-documented platforms — n8n, Make, OpenAI, Anthropic — no proprietary frameworks.
- Our retainers are month-to-month after the initial period. Stay because the work is good, not because you can't leave.
- Full documentation and runbooks included.
We're the right fit if...
- You’re a $2M–$50M operator (or larger) with 10+ team members and at least one repeatable, high-volume workflow worth automating.
- You’ve tried generic AI tools and hit a ceiling. You know you need real engineering, not just another SaaS subscription.
- You want a partner, not a vendor. Someone who pushes back when a workflow idea doesn’t make sense.
- You care about workflows that hold up at scale — with logging, monitoring, evals, and someone owning the runbook.
- You want IP ownership. If we ever part ways, you can take everything we built and run it elsewhere.
We're NOT the right fit if...
- You need a flashy slide deck to take to your board. We sell working systems, not "AI strategy."
- You’re looking for the cheapest possible option. We’re lean and senior — not the no-code freelancer on Upwork.
- You think AI should replace your entire team next quarter. We don’t do replacement narratives; we do leverage.
- You want a tool, not a system. We don’t resell SaaS — we build the engineering layer that ties tools together.
How an engagement actually works
Free Intro Call
Day 1You book a 30-minute call. We talk about what work is eating your team’s time and assess whether AI workflows are the right next move. If they’re not, we’ll tell you — and suggest who can help.
Workflow Audit
Weeks 1–2Two weeks of mapping every repeatable task in your business, scoring by ROI, and producing a ranked backlog of automations worth shipping. Fixed-price, standalone deliverable. You can take the roadmap and run — or have us build it.
Build the First Workflow
Weeks 3–6We pick the top-priority automation and ship it in a 2–4 week sprint. Live in production, with logging, monitoring, error handling, and a runbook. You see working code in week 1, not month 4.
Tune & Scale
OngoingOnce the first workflow is paying its bill, we layer in the next. Most clients are running 4–8 production workflows by month six. Optionally on a Managed Ops retainer where we monitor and tune for you.
Don't take our word for it.
“I'm so proud to see Qarbi grow, and am proud to support this growth as well. There are a lot more opportunities on the horizon and there's nothing better than tangible evidence and work quality, and Qarbi has demonstrated this time and time again.”
Questions operators ask before working with us
Because there are no juniors to hand it to. Our core team is senior engineers with 5–8+ years each. When we scale up for larger projects, we bring in trusted specialists we’ve worked with for years — not warm bodies from a bench.
It isn’t. We overlap with Australian business hours naturally (Vietnam is GMT+7, Australia is GMT+10/11 — 3–4 hour overlap). For US clients, we schedule syncs during your morning and work asynchronously the rest of the day.
For AI workflows: n8n, Make.com, OpenAI, Anthropic, open-weights models, custom Node and Python. For integrations: Salesforce, HubSpot, Pipedrive, Zendesk, Slack, Asana, Linear, Stripe, Xero, QuickBooks, Notion, Airtable, Postgres, your custom internal API. We’re tool-agnostic — we pick what fits the job.
On a Managed Ops retainer, we’re alerted within minutes of a workflow failure or anomaly and start triaging within the hour during business hours. Without a retainer, you message us on Slack and we respond within hours — regardless of timezone. Critical issues get same-day attention during any active engagement.
Yes, and we encourage it. Most long-term clients start with the Workflow Audit (a fixed-price, standalone deliverable) or a single small build sprint. Low risk, clear deliverable.
You tell us. If we can fix it, we fix it within the sprint. If we can’t, you stop. No penalties, no awkward contract termination. You own everything we’ve built up to that point.