How CorePiper Works
We don't start with generic knowledge bases. We start with your SOPs. CorePiper reads your procedures, connects your tools, and deploys AI agents that improve through real human feedback — across every platform.
Three steps to autonomous operations
A fundamentally different approach to AI automation — one that starts with understanding, not configuration.
Your VP or manager enters SOPs, internal policies, and case-handling procedures into CorePiper. The AI reads and understands what needs to be done and what tools and integrations are needed for each skill.
CorePiper identifies the required integrations and implements any missing tools. Connect Salesforce, Jira, and Zendesk -- companies can onboard in about a day.
Run test sessions on real cases, then deploy. Human-in-the-loop: when the AI needs to take an action, it asks for approval first. If a human gives feedback, the AI updates its skill. Over time, it learns and gets better.
What makes this different
Traditional AI reads your docs and hopes for the best. CorePiper is driven by your SOPs and refined by real feedback from your team.
Traditional AI
Document-based approach
- Reads documentation and knowledge bases
- Pattern matches against predefined rules
- Needs constant manual tuning
- Breaks when processes change
- One-size-fits-all responses
CorePiper
SOP-driven + feedback loop approach
- Driven by your SOPs and procedures
- Refined by real human feedback on real cases
- Improves continuously through feedback loops
- Adapts as your team evolves
- Personalized to your workflows
Get to value fast
Most AI projects take 6-12 months. CorePiper delivers production-ready agents in weeks, not months.
Upload SOPs & Connect
Enter your SOPs and case-handling procedures, connect your platforms, and let CorePiper set up your AI skills. Zero disruption to your team.
First Automations Live
Your first AI agents go live, handling the highest-confidence routine cases while your team focuses on complex work.
Full Deployment
Agents expand to handle the full range of defined skills. Coverage increases as confidence thresholds are met.
Continuous Improvement
Agents keep learning from new interactions and feedback. Performance improves month over month, automatically.
Logistics claims: from SOP to automation
See how a VP of Operations uses CorePiper to automate the 10-step freight claims workflow across Zendesk, Salesforce, and Jira.
VP of Ops uploads claims handling SOP
The existing claims procedure document — the one your team already follows — gets uploaded to CorePiper. No rewriting, no special formats.
CorePiper identifies needed integrations
The AI reads the SOP and identifies: Zendesk for customer tickets, Salesforce for case management, carrier APIs for filing, and Jira for operations escalation.
Test on real claims
Run the AI against actual incoming claims with full human oversight. Every action is visible, every decision is explainable.
Human-in-the-loop: AI proposes, human approves
AI proposes filing a claim with UPS for $3,200 in damage. Human reviews the documentation package, approves or corrects. The AI learns from every correction.
AI learns and improves filing accuracy
Over time, filing accuracy improves, denial rates drop, and the team grants more autonomy. What started as human-in-the-loop becomes fully autonomous for routine claims.