Your AI assistant can now work with your underwriting workflow

Most lenders don't care about MCP as a technical protocol. They care about whether their team can use AI to understand applications, retrieve evidence and interact with underwriting operations without constantly switching between tools.

That's the problem CreditDecide's MCP integration set out to solve — and the framing we want to be honest about. This is AI-assisted access to underwriting workflows, not an AI assistant independently approving loans.

Bringing underwriting into the AI workflow

Today we're introducing MCP connectivity for CreditDecide. In practice, that means instead of treating underwriting as a separate application your team has to constantly switch into, compatible AI assistants can connect to CreditDecide and work with authorised underwriting data and workflows.

Point a compatible assistant — Claude, ChatGPT, Cursor, Windsurf, Cline, Zed or any MCP-compatible client — at a single URL. The assistant can then:

• Retrieve application details, risk signals, evidence and decisions.
• Run risk analysis on applications.
• Ask questions about an application using its underlying data.
• Create, retrieve and update applications where the user's permissions allow.
• Interact with enabled underwriting tools through a connected AI assistant.

The benefit isn't the protocol. It's that underwriting becomes part of the AI workflow — not another disconnected tool.

Your policies. Your permissions. Your decision controls.

Connecting an assistant doesn't mean handing it unrestricted authority. CreditDecide continues to enforce the controls a regulated lender relies on:

• User permissions. Each client connects as a named user and only ever sees that user's organization's data. Access is scoped per organization; cross-organization queries return nothing.
• Role-based actions. Read and analysis tools are available to authorised users. Authoritative decisions require an admin role.
• Confirmation for decision-changing actions. Underwriting a loan isn't silent — the assistant must confirm before a decision runs, and any override of the policy outcome requires a stated reason.
• Policy enforcement. The lender's versioned policies still drive the APPROVE / REVIEW / DECLINE outcome. The assistant works within them, never around them.
• Auditability. Every action is recorded in the audit trail with the actor, environment and confirmation state.

This is the architecture we hardened deliberately. AI connectivity and human control aren't in tension here — the assistant gets reach, the lender keeps authority.

Read-first by default, decisions by design

A useful default for regulated data is that most interaction is read-only. Retrieve an application's authorised risk information and supporting evidence. Ask the underwriting assistant to explain a decision in plain language. Explore the evidence graph that links every risk signal back to its source field.

Then, where a user's permissions allow and the action is appropriate, the assistant can go further — running risk analysis or managing applications. The boundary between reading and deciding is explicit, not implied.

We also surface whether analysis ran on live provider data or synthetic defaults, so demo and production results are never confused.

What this means for consumer lenders

• Less tool switching. Your team can interrogate an application, its risk signals and its evidence from inside the AI assistant they already use.
• No loss of control. Policies, permissions and decision controls stay exactly where a regulated lender needs them — enforced by CreditDecide, not delegated to the assistant.
• Explainable by construction. Because every signal traces to evidence and every decision is audited, an assistant's answer is grounded in the same lineage a human underwriter would use.

We're building CreditDecide to make credit underwriting more accessible, explainable and easier to operate. Now, underwriting can become part of the AI workflow — not another disconnected tool.

Explore CreditDecide at creditdecide.com.