Back office is the forgotten cost center
Data entry, record updates, reconciliation, and reporting consume entire teams. These repetitive tasks are perfect for AI -- but most AI tools look the other way.
The Hidden Cost Center
Back office operations consume entire teams -- data entry, record updates, reconciliation, and reporting. These costs are rarely visible on dashboards but show up in headcount and burnout.
Repetitive Tasks Drain Talent
Your back office team has real expertise, but they spend 80% of their time on tasks a machine could do. High-skill employees doing low-skill work is the most expensive inefficiency in operations.
Most AI Ignores Back Office
Most AI automation tools focus on customer-facing support. Back office operations -- the engine that keeps your business running -- gets overlooked, leaving entire teams stuck in manual processes.
AI agents for the work behind the scenes
CorePiper's AI agents automate back office workflows -- the repetitive operations work that keeps your business running but drains your team's time and talent.
Automated Data Entry and Record Updates
CorePiper's AI agents handle data entry across Salesforce, Jira, and Zendesk -- creating records, updating fields, and maintaining data accuracy without human intervention.
Cross-System Reconciliation
AI agents continuously reconcile data across platforms, identifying discrepancies and resolving them automatically. No more end-of-month reconciliation fire drills.
Report Generation and Distribution
Automated reporting that pulls data from all connected platforms, generates insights, and distributes reports to the right stakeholders on schedule.
Compliance Check Automation
CorePiper monitors workflows for compliance requirements, flags exceptions, and ensures audit trails are complete -- reducing compliance risk without adding manual overhead.
Vendor and Partner Communication
AI agents handle routine vendor and partner communications -- status updates, information requests, and confirmations -- based on patterns learned from your team.
Process Exception Handling
When automated processes encounter exceptions, CorePiper triages them intelligently -- resolving what it can and escalating the rest with full context to the right person.
Reclaim your back office
CorePiper transforms back office operations from a cost center into a competitive advantage -- with measurable results from the first month.
30-55%
Cost Reduction
Automate the operational work that consumes entire teams and budgets.
80%
Reduction in Manual Data Entry
AI agents handle the data entry that used to take hours every day.
90%
Fewer Reconciliation Errors
Cross-system reconciliation that runs continuously, not quarterly.
Frequently asked questions
How CorePiper automates data entry, reconciliation, order exceptions, and claims across your operational stack.
- What counts as back-office automation?
- Back-office automation covers the operational work behind the scenes of customer-facing transactions: data entry, reconciliation, reporting, order exception handling, refund processing, claim filing. CorePiper automates this work across Shopify, Zendesk, carrier portals, and your internal systems.
- How do AI agents differ from RPA for back-office work?
- RPA follows brittle scripted clicks. CorePiper agents read data, reason about it against an SOP, and act across APIs — so when an order page layout changes or an exception type shifts, the workflow keeps running without re-recording.
- Can CorePiper handle order exceptions across Shopify and carrier portals?
- Yes. CorePiper can detect exceptions from carrier status updates, gather order details from Shopify, compile supporting documentation, and take the resolution action — refund, reship, or claim filing — inside the right system.
- Do we need engineering resources to set up back-office workflows?
- No. CorePiper workflows are configured against your SOPs by ops teams. Engineering typically only gets involved for custom integrations beyond our native connector set.
- How does CorePiper measure back-office ROI?
- CorePiper tracks time saved per workflow run, cost per transaction, and recovery captured (e.g., shipping claims paid, refunds prevented). Teams typically see payback in the first quarter.