Mapping Audit Workflows to Software

The product roadmap in compliance starts with watching experts do the work, then turning repeated judgment calls into software. Laika built automation by first mapping the real audit workflow, from pulling evidence out of AWS, GitHub, Jira, and HR systems, to handling policy tasks and auditor handoffs. That is why the human layer stays central even as more checks become automatic, because the software gets smarter by learning where experts still need to interpret context.

• Laika already automates a large share of work for digital native companies with modern stacks. The system connects to cloud, code, ticketing, and HR tools, runs monitors, flags failures, and maps one set of controls across multiple frameworks. That is software replacing repetitive collection and checking work, not expert review of edge cases.
  1 sacra
• The comparison to Carta and Pilot is about product design, not just business model. These companies got good by sitting inside the workflow first. Pilot used bookkeepers as middleware between source systems and QuickBooks, and Carta used in house analysts around 409A workflows. The service layer taught them which steps could actually be standardized.
  1 sacra 3 sacra 4 sacra
• In compliance, the hard boundary is the audit itself. Laika does not employ auditors, but gives auditors software connected to the customer side so data can be shared and verified in one workflow. That keeps humans in the loop because audit quality still depends on interpretation, and because SOC 2 evidence has historically been inconsistent and manual.
  1 sacra 2 sacra

Over time, more of compliance becomes software, especially for smaller cloud native companies with standardized tools. The enduring opportunity is to make experts far more productive, then use their decisions to automate the next layer of work. The winners will own both sides of the workflow, company preparation and auditor execution, and turn that loop into faster products and broader framework coverage.