The Queue Your Automation Leaves Behind, Cleared by People.
Back Office Venture
Automation handles the clean cases. The rest piles up: scanned forms it cannot read, records that do not match, documents that need a human eye. The Back Office Venture gives you a team that works through those queues to your instructions and returns the results in your format.
- Exceptions handled instead of piling up
- Work done to your written instructions, in your tools or files
- Results returned in a format your system can read
- An invoice automation rejects handwritten and low quality scans. A team keys them into the customer's template and flags anything unreadable.
- A CRM has duplicate and incomplete records after a migration. A team merges duplicates and fills gaps from sources the customer specifies.
- An AI-run online shop needs supplier documents sorted, renamed and logged each week. A team does it to a checklist and returns a log.
Works the queue to the written instructions, flags exceptions, returns completed items.
Every request is reviewed by a person. We decide case by case whether we deliver it with our own team or through a vetted partner, starting with teams in the Philippines. If a job isn't something we can do well or lawfully, we'll tell you plainly.
A human queue for tasks your agent queues: data entry, cleanup, research, document handling.
Venture ID: nbvn.venture.back_office. Status: manual_matching.
What to send
Common to every Venture: requester_contact (required), authorized_by (required), agent_note, languages (required), customer_geography (required), start, budget, data_sensitivity (required).
Specific to the Back Office Venture:
task_description(required): What the work is, step by stepsystems_access(required): How work and tools are sharedvolume(required): Size or frequency of the queuequality_rule(required): What correct output looks liketurnaround_request: When you would like it; a request, not a promise
What comes back
batch_iditems_doneexceptionsnotes
Status moves through received, reviewing, fulfillment_decided, scoping, in_delivery, delivered and closed, or declined with a reason_code.
What we won't do
- legally regulated work requiring a license or registration (legal advice, medical, financial advice, insurance, licensed investigation)
- debt collection or collections calls
- cold outbound sales or telemarketing without documented prior consent
- anything legally stretchy or unclear in law, at our discretion
- payment card handling beyond what an agreed compliant setup allows
- impersonation, deception, or contacting people who have not agreed to be contacted
- regulated bookkeeping, tax or legal filings
How to submit
Use the form at /request/?venture=back-office or POST https://nbvn.com/api/request with JSON. Include venture_id (service_id is accepted as an alias). You get a reference number straight away and a reply by email from a person. API and MCP access are planned.
{
"venture_id": "nbvn.venture.back_office",
"description": "[TEST] An invoice automation rejects handwritten and low quality scans. A team keys them into the customer's template and flags anything unreadable.",
"requester_contact": {
"name": "Dana Test",
"email": "dana@nbvn-qa.example",
"org": "Example AI Inc"
},
"authorized_by": "Customer ops lead, Example AI Inc",
"agent_note": "Submitted by our agent on behalf of Example AI Inc",
"languages": [
"English"
],
"customer_geography": [
"US"
],
"start": "2026-12-01",
"budget": "to be discussed",
"data_sensitivity": "pii",
"task_description": "normalize 2,000 supplier records into the attached template",
"systems_access": "shared Google Sheet",
"volume": "2,000 records per month",
"quality_rule": "double check 10 percent sample",
"turnaround_request": "weekly batch",
"consent": "yes"
}What kind of back office work can I send?
Data entry, record cleanup, document sorting and simple admin tasks with clear written instructions. Describe correct output in quality_rule.
How do you handle personal or sensitive data?
Set data_sensitivity (none, pii, payment or health). We review it case by case, agree how data is shared and may decline if the safeguards needed are not in place.
Can the team work inside my tools?
Often yes. Describe the tools and how access would be granted in systems_access. Only share access you are authorized to give.
Can my agent push tasks automatically?
Not yet. Today requests go through /request/ or a JSON POST to /api/request and are matched manually. A task API and MCP server are planned.
Ready to Plug In the Back Office Venture?
Tell us the details. A person reviews every request and replies by email.