What if your finance team could process invoices in minutes instead of hours with far fewer errors? Tokyo-based LayerX closed a $100 million Series B round led by TCV with participation from MUFG and others, bringing total funding to about $192 million. The company’s AI-powered SaaS focuses on enterprise back-office automation, including invoice processing automation, expense management and corporate card reconciliation. With roughly 15,000 enterprise customers and fast-growing ARR, LayerX is positioning automation as a practical route to reduce manual work, improve compliance and cut operating costs.

Why enterprise back-office automation matters

Back-office administration has become a strategic bottleneck for many organizations. Routine activities such as data entry for invoices, matching receipts, and reconciling corporate cards consume time and introduce errors. Labor shortages in administrative roles and new digital regulations like Japan’s e-invoicing rules increase the pressure to modernize. LayerX aims to remove repetitive paperwork through AI automation and a low-code deployment model that avoids long internal IT projects.

What LayerX automates

• Invoice processing automation: Extracts and validates invoice data to cut manual entry and speed approvals.
• Expense report automation: Streamlines submissions, approvals and policy enforcement.
• Corporate card reconciliation: Matches transactions to receipts and categorizes expenses automatically.
• Compliance automation: Helps enterprises meet e-invoicing and finance regulations while keeping audit trails and controls intact.

Why investors are backing it

The $100 million raise signals strong market demand for AI-driven process optimization and practical enterprise SaaS that delivers measurable ROI. LayerX’s growth to roughly 15,000 enterprise customers and its low-code approach make it attractive to mid-market and larger companies that need fast, secure automation without long deployments.

Benefits for business leaders

• Reduce manual admin and human error so finance teams focus on strategic work.
• Improve cash flow and payment accuracy by accelerating invoice processing.
• Maintain compliance with evolving regulations through automated checks and audit-ready logs.
• Deploy quickly with low-code integration to existing ERPs and accounting systems.

Practical considerations

Adopting back-office automation requires careful change management. Companies should prioritize data security, staff training and measuring time saved and error reduction. LayerX emphasizes security and compliance for financial workflows, which is critical when sensitive transaction data flows through AI systems.

Voice-search friendly FAQs

How can AI automate invoice processing?

AI models extract structured data from invoices, validate fields against rules, and route items for approval. This converts hours of manual entry into minutes of automated validation and posting.

Is LayerX compliant with e-invoicing rules?

LayerX builds compliance automation into its workflow tools to support rule changes like Japan’s e-invoicing requirements, helping companies stay audit-ready while reducing manual compliance checks.

How quickly can businesses deploy automation?

The company’s low-code approach is designed for faster deployment than traditional ERP projects, enabling many customers to see measurable improvements in weeks rather than months.

Conclusion

LayerX’s Series B funding underscores a broader shift to intelligent automation in finance operations. By combining AI automation, compliance-first design and low-code integration, the company offers a practical path to modernize back-office work, reduce costs and free teams to focus on higher-value tasks.