Hire an AI Back-Office Employee
Documents, Data Entry and Compliance
A data entry specialist costs $45,000 a year and still makes errors. An AI Back-Office Employee processes every document the moment it arrives, extracts the right fields with 99.5% accuracy, routes items for approval, and flags compliance issues before they become audit findings. Your team stops feeding the machine and starts running the business.
What Your AI Back-Office Employee Does
The manual processing work that slows your team down, done accurately and automatically from day one.
The Cost of Manual Back Office Work
What your organization saves when processing is no longer a human job.
3 min
Per Claim Processed
Down from 45 minutes of manual handling
99.5%
Extraction Accuracy
Versus 96% average for human data entry
$45K+
Annual Labor Replaced
Per full-time data entry position automated
Zero
Compliance Gaps Missed
Every document checked before it enters the system
Document Types It Handles
If your team currently processes it manually, the AI Back-Office Employee can take it over.
Financial
- Invoices
- Purchase orders
- Expense reports
- Bank statements
- Payment remittances
HR and Legal
- Employment contracts
- NDAs
- Onboarding forms
- Policy acknowledgements
- Compliance certifications
Operations
- Delivery receipts
- Work orders
- Inspection reports
- Maintenance logs
- Vendor agreements
Customer Facing
- Applications
- Intake forms
- Claims
- Signed agreements
- Identity documents
How We Guarantee Accuracy
Automation without accuracy guarantees is just a new way to create errors at scale. Here is how we prevent that.
Human-in-the-loop for low-confidence extractions
When confidence falls below your threshold, the employee flags the field and queues it for human verification rather than guessing. You define the threshold during onboarding.
Every extraction is auditable
The system logs what was extracted, from which field, with what confidence score. If a number is ever questioned, the audit trail shows exactly where it came from.
Continuous accuracy improvement
Human corrections feed back into the model. Accuracy improves with volume. Most deployments reach peak accuracy within 30 days of processing live documents.
Edge case handling built in
Unusual formats, missing fields, and ambiguous data are handled by escalation rules you configure, not silent failure. Nothing disappears into a gap in the system.
Compliance Support Built In
Compliance failures are not random. They happen because rules are checked inconsistently. The AI Back-Office Employee checks every document against every rule, every time.
Required field validation
Every document is checked for mandatory fields before it proceeds. Missing data is flagged immediately, not discovered in an audit six months later.
Policy rule enforcement
Approval limits, vendor whitelist checks, and spending category rules run automatically on every invoice and expense document.
Regulatory format checks
For industries with document format requirements, the employee validates structure and content against the applicable standard before routing.
Retention and disposal scheduling
Documents are tagged at ingestion with the correct retention period. Disposal alerts fire on schedule so your team stays compliant without manual tracking.
Proven Results
Real projects. Real numbers. See what we delivered.
AI Support Agent: Resolving 73% of Tickets Without Human Intervention
73% ticket auto-resolution, 4hr → 8min response time
An AI customer support agent that handles Tier 1 tickets via chat and email, resolves 73% automatically, and escalates the rest with full context to human agents.
AI Voice Agent: Automated Appointment Booking via Phone
Missed calls reduced from 40% to 3%, 120 appointments/month booked by AI
An AI phone agent that handles inbound calls for a dental practice, books appointments, answers FAQs, and reduces missed calls from 40% to 3%.
AI Sales Agent: Automated Lead Qualification and Meeting Booking
Lead response time: 4 hours → 90 seconds, qualified meetings up 2.4x
An AI sales development rep that qualifies inbound leads via chat and email, scores them using BANT criteria, and books meetings directly on reps' calendars.
Frequently Asked Questions
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