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SYS.002 / Workflow Build Sprints

Live in 2–4 weeks.
Built like software.
Owned by you.

We design and ship production-grade AI workflows one sprint at a time. Real logging, real monitoring, real documentation. Tool-agnostic across n8n, Make, OpenAI, Anthropic, and custom code. The IP is yours; the workflow stays yours if we ever part ways.

Start a Sprint
01 // Sample Workflows

Workflows we ship in a sprint

Concrete examples — not "AI strategy." Each of these is a real production workflow built, shipped, and running for someone right now. Yours will look different, but the shape is the same.

01

Lead Follow-Up Engine

Inbound leads get researched, scored, and contacted within minutes — with a personalized first touch that references their company, role, and likely pain point. Reps wake up to a triaged inbox, not a queue of cold leads.

02

Proposal Drafting

A discovery call recording becomes a 70%-complete proposal in your branded template — pulling pricing, scope language, and case studies from your library. Reps review and send, instead of writing from scratch.

03

Support Triage & Draft Reply

Incoming tickets get categorized, prioritized, and a draft reply gets prepared for the agent — with the right knowledge base article cited. Average handle time drops 50–70%.

04

Quote / Pricing Generation

Sales reps describe what the customer wants in plain English; the workflow generates a branded PDF quote with the right pricing rules applied, sends for approval where needed, and routes for signature.

05

Weekly Operations Reporting

Pull from your CRM, project tool, finance system. Synthesize a narrative weekly report. Email the right summary to the right stakeholder. No more Sunday-night Excel sessions.

06

AR Follow-Up Sequences

Overdue invoices get a personalized, polite, escalating sequence of nudges. Customers paying late get fewer; customers ignoring you get more. Days-sales-outstanding drops materially.

07

Content Repurposing

One long-form input — a webinar, a podcast, a blog post — becomes 15+ derivative assets: social posts, email snippets, ad variants, blog summaries. Marketing team gets a multiplier.

08

CRM Hygiene & Enrichment

Auto-deduplicate contacts, append firmographic data, fill missing fields, flag stale opportunities. Your reps stop fighting their own database.

02 // Production-Grade

What "production-grade"
actually means.

Most "AI automations" you see online are duct tape. They work on the demo and break the first time real-world data hits them.

Every workflow we ship has:

  • Structured logging on every step (you can debug a failure without us)
  • Error handling and retry logic — workflows fail gracefully, not loudly
  • Cost monitoring per-execution so you see exactly what each run costs
  • Alerting on failures, anomalies, or cost spikes
  • Documentation: a runbook your team (or another engineer) can read
  • Version control on every workflow, not "I edited it in the UI last Tuesday"

This is what separates a workflow that runs for two years from one that breaks the first time someone's name has an apostrophe in it.

03 // Process

One sprint, one shipped workflow

01

Sprint Kickoff

We pick the workflow off the top of your backlog (from the Audit, or from a list we build with you). 2-hour kickoff, success criteria locked, integrations inventoried, edge cases listed.

02

Build & Iterate

We build in 2–4 week sprints with mid-sprint demos. You see working code in week 1, refined code in week 2, and edge cases handled by week 3. No 6-month black-box builds.

03

Production Ship

Workflow goes live with monitoring, alerting, and a runbook. We watch the first 100 executions with you to catch anything the test data missed.

04

Hand-Off or Manage

You can take it from here, or we run it for you on a Managed Ops retainer. Either way, you own the IP and the workflow — no lock-in.

04 // Why Qarbi

We engineer AI workflows
the way we engineer software.

Qarbi started as an ecommerce engineering studio. We've shipped 600+ production features for $10M–$200M retailers. We know what breaks at 2am on Black Friday.

We brought the same discipline to AI workflow work. Logging. Error handling. Monitoring. Versioning. Tests where they matter. Documentation a future you can actually read.

The result: workflows that run for two years without us, not two weeks before they need a babysitter.

05 // FAQ

Sprint questions

One. Production-grade workflows take focus. Trying to build three at once is how you ship none of them. After the first one is live, the second often goes faster because we already know your systems.

Whatever fits. Most workflows ship on n8n (self-hosted, transparent, easy to extend) or Make.com. Custom Node or Python where the logic gets complex. Models from OpenAI, Anthropic, or open-weights depending on the task and cost profile.

Yes — if you already know what you want built. Most clients do an Audit first because it produces 4–8 high-ROI workflows worth shipping; building one without the bigger picture often means missing a higher-ROI option.

Almost certainly. Salesforce, HubSpot, Pipedrive, Slack, Linear, Asana, Stripe, Xero, QuickBooks, Notion, Airtable, Zendesk, Intercom, Postgres, your custom internal API — we build integrations as part of the workflow.

You can. We work in 2-week chunks; if the first chunk shows the workflow isn't worth finishing, we kill it and move on. Better to lose two weeks than ship something nobody uses.

Scoped per-workflow after we understand the integrations and complexity. Drop us a line — we'll quote you within 48 hours of an intro call.

Next Step

Pick a workflow. Ship it in 2–4 weeks.

Tell us what's eating your team's time. We'll quote a sprint and ship the first workflow inside a month.

Start a Sprint
Related Services

Other ways we can help

Workflow Audit & Roadmap

Two weeks. A ranked backlog of every automation worth building.

Learn more →

Custom Agent Development

Bespoke AI agents for the workflows where a single prompt isn't enough.

Learn more →

Managed AI Operations

We run the workflows we build. Tune, monitor, scale.

Learn more →

Ecommerce Engineering

Senior Magento, Adobe Commerce, and headless engineering. Our original craft.

Learn more →