AI Automation

• Hours lost to copy-paste and data entry
• Fragmented tools and disconnected systems
• Slow handoffs between teams
• Inconsistent execution at scale

• Up to 80% reduction in manual effort
• Faster cycle times and shorter SLAs
• Lower operational cost per transaction
• Reliable, auditable, repeatable execution

We start with a 2-week audit of your highest-volume manual workflows — counting hours spent, error rates, and downstream impact — then rank automations by payback period. Nothing gets built until the business case is signed off.

Every automation ships with monitoring, exception handling, and a human-in-the-loop fallback. We treat automations like production software: version-controlled, tested, observable, and owned by named people. The result is automation that compounds in value, not a graveyard of brittle Zaps.

• Operators drowning in repetitive back-office work
• Founders who want to scale without proportional headcount
• Ops and RevOps leaders modernizing a legacy stack
• CFOs targeting a measurable reduction in cost-to-serve

• End-to-end automated workflows in n8n, Make, or custom Python
• Secure integrations with CRM, ERP, billing, and 20+ SaaS tools
• Document and email processing pipelines (OCR + LLM extraction)
• Exception handling, retries, and human-in-the-loop approval queues
• Real-time monitoring dashboards with alerting on failures and SLAs
• Audit logs and version control for every automated workflow
• Runbooks, SOPs, and recorded walkthroughs for your team
• 30-day post-launch hypercare and a quarterly optimization review