When the customeris a machine
The emerging “machine customer”: an AI assistant that researches, applies, and transacts on a person's behalf. Cloudcase has demonstrated a complete home loan, from conversation to conditional approval, in under 10 minutes. Two borrowers, identity verification, document validation, eligibility assessment and submission, all completed by an AI assistant in a single conversation.
From conversation to approval
No forms. No portal. No branch.
The customer gives one instruction and uploads their documents. The assistant does the rest: reasoning, reconciling, and resolving issues in plain language as it goes.
AI assistant · via MCP
Claude · ChatGPTCase building
09:42Outcome · two borrowers
CONDITIONALLY APPROVED
End-to-end in under 10 minutes · full audit trail
A Gartner Top 10 strategic trend
25%
of purchasing decisions could be substantially delegated to machines by 2030, on Gartner's forecast.
The shift institutions can't ignore
The “machine customer” describes a future where AI agents act on behalf of consumers to research, apply for, and purchase products and services. The question is no longer whether this will happen, but how quickly.
Institutions that can serve machine customers will capture a new generation of buyers. Those that can't will be left out of the assistant's shortlist entirely.
From a single instruction, the assistant…
How it works.
Identifies suitable loan products
Creates and completes the application
Extracts and validates data from documents
Pre-fills hundreds of required fields
Submits and receives conditional approval
At no point does the customer interact with forms, portals, or branch processes.
Built for the AI ecosystem
Cloudcase integrates with AI assistants via the Model Context Protocol (MCP), an open standard. The capability isn't tied to one provider.
Intelligent & transparent
- Cross-referenced documents and detected an address discrepancy
- Asked the customer to clarify rather than making assumptions
- Requested missing information in plain language
Real-time problem solving
- Explained a serviceability shortfall clearly
- Calculated the required adjustment
- Guided the customer to resolve it in the same conversation
“This is no longer theoretical. We've demonstrated a complete, real-world lending process executed end-to-end by an AI assistant. Financial institutions need to be ready for customers who don't fill out forms. They delegate.”
Rian Fergusson
Chief Technology Officer, Cloudcase
Developed through R&D: releasing to customers soon
The Machine Customer channel was built on Cloudcase's API-driven architecture and MCP support, alongside the same workflow, policy, and audit trail as every other channel.
Get ready for machine customers
See how Cloudcase serves AI assistants through MCP: governed, auditable, and built on the same engine as your human channels.