Your store gets an always-on operations workspace. Fabren builds the AI back office that keeps repetitive store work moving.
Support queues, order exceptions, inventory checks, product cleanup, reporting, and vendor follow-ups pile up fast. Fabren installs a private AI workspace that prepares the work, flags exceptions, and keeps your team in control.
A private workspace that watches the boring work so your team can move the business.
The concept
Like a web design agency. But for your AI back office.
Fabren does not hand you a login and leave. We install a private workspace, connect it to your operating stack, build the workflows, monitor the loops, and improve the system with you every month.
Not SaaS
You are not buying another dashboard your team has to configure.
Not a chatbot
The workspace runs files, inboxes, exports, scripts, checklists, and review queues.
Not consulting
The deliverable is a working operating loop, not a strategy document.
Private workspace
A secure cloud workspace with tools, scripts, prompts, logs, and scheduled workflows.
AI operating layer
Codex helps prepare files, docs, exports, internal tools, review queues, and repeatable admin work.
Managed delivery
A Fabren engineer works directly with your team to ship and maintain the system.
workspace output
A private workspace that watches the boring work so your team can move the business.
Why this wins
A managed workspace beats another tool.
Most AI projects fail because the business still has to translate messy work into a reliable system. Fabren owns that translation layer.
A new login
Your team still configures workflows, context, and adoption.
The operating layer that turns messy tools into one managed workflow system.
A few zaps
Useful at first, but brittle when the real process changes.
What launches first
A narrow workflow that proves the model.
We do not start by promising to automate the whole company. We start with one operational loop that is repetitive, measurable, and painful enough that your team already wants it gone.
Workflow map, access plan, success metric, approval rules, and first data sources.
Private workspace setup, prompts, scripts, folder conventions, and first working loop.
Integrations, exception handling, team feedback, and controlled live testing.
Launch, training, monitoring dashboard, and roadmap for the next two workflows.
30-day pilot
Tell us the one workflow your team already knows is leaking time. We'll scope what 30 days looks like.
What it runs
A managed AI workspace for ecommerce.
Start with the repetitive work your team already knows is leaking time. Then turn that workflow into a managed operating loop.
Support triage
Tickets are summarized, tagged, drafted, and escalated based on risk and customer value.
Order exceptions
Late orders, refund requests, address issues, and fulfillment misses are tracked in one queue.
Product ops
SKU data, product descriptions, collections, and launch checklists are cleaned and prepared.
Performance reporting
Daily and weekly snapshots pull from store, ads, inventory, and support data.
How the work gets done
The system does the prep work. Your team keeps the judgment.
We design autonomy by risk. Repetitive collection, preparation, summaries, drafts, and status updates can run continuously. Decisions that affect money, legal exposure, customer promises, tax, or production systems stay behind approval rules.
Flag high-risk refund, chargeback, and shipment issues
Compile daily store ops and margin watch reports
Forward-deployed engineering
You work with an engineer, not a chatbot installer.
Each workspace is implemented by Fabren around your real systems. We do the messy deployment work: access, prompts, scripts, SOPs, testing, monitoring, and iteration.
Map the current store operations stack
Connect Shopify, support desk, spreadsheets, and reporting sources
Build reusable scripts for exports, cleanup, and status reports
Tune approval gates for refunds, customer promises, and supplier issues
Integrations
Built around the tools you already use.
We start with the lowest-friction connection path: exports, folders, inboxes, spreadsheets, APIs, MCP servers, or custom scripts.
Built for teams under ops pressure
Works with exports before custom APIs
Approval gates for refunds and customer promises
Monthly improvement sprint included
Pilot proof target
A typical first pilot targets the hidden queue that costs the most attention: support triage, order exceptions, refund prep, or daily store reporting.
Monthly management
The workspace gets better after launch.
The first workflow is the beachhead. Every month, Fabren reviews outputs, fixes failures, adds context, connects more data, and ships the next useful operating loop.
Weekly output review and failure cleanup
Prompt, script, and SOP improvements
New workflow backlog and prioritization
Access, security, and approval rule tuning
Team training and adoption support
Monthly outcome report
ROI calculator
Estimate the admin capacity a managed Codex workspace could unlock.
This is a planning model for ecommerce, not a guarantee. It values recovered admin hours before any extra revenue from faster turnaround, better follow-up, or fewer dropped tasks.
Use 25-40% as a practical planning range for repetitive document chase, inbox, reporting, and admin-prep workflows.
At these numbers, the monthly retainer pays for itself in about 2.7 weeks of recovered labor value.
Setup fee recovered in about 2.0 months after retainer, if the assumptions hold.
Conservative note: this excludes revenue lift from faster client response, fewer missed deadlines, cleaner follow-up, or higher team throughput.
Commercial model
Upfront implementation. Monthly managed workspace.
This is not priced like SaaS because Fabren is not handing you software. We install, manage, monitor, and improve the AI back-office system.
The setup fee covers implementation: mapping the workflow, connecting your tools, building the workspace, testing the first loop, and getting your team to a working launch.
Pilot
One workflow, one workspace, one painful outcome. Best for testing the model before expanding.
Managed
Multiple loops, integrations, weekly monitoring, and monthly improvements.
Embedded
Department-level rebuild with deeper integrations, custom tooling, and ongoing implementation engineering capacity.
Start here
Build the first workflow. Then decide how far to take it.
Tell us where the back-office drag is. Fabren will map the first workspace implementation, what it connects to, what it can prepare automatically, and what should stay human-reviewed.
FAQ
Is this customer support automation?
It is broader. Support is one loop, but the workspace also handles order exceptions, product data, inventory, reporting, and vendor follow-up.
Can it connect to Shopify?
Yes. We can start with exports and mature into direct integrations where it makes sense.
Will it auto-send replies?
Only where you approve that rule. Most teams start with draft and approve, then automate safe categories.