VP of Lending
Build and develop the lending team
What You Do Today
Recruit and retain loan officers, underwriters, and support staff. Develop the skills needed as lending evolves — digital fluency, data literacy, and consultative selling for complex products.
AI That Applies
AI tools that augment lending staff — automated document processing, AI-assisted underwriting analysis, and intelligent workflow routing.
Technologies
How It Works
For build and develop the lending team, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
The lending professional role evolves. Routine underwriting is automated; your people focus on complex deals and relationship management.
What Stays
Building a sales and credit culture, developing future leaders, and maintaining the customer focus that differentiates relationship lending from commodity lending.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for build and develop the lending team, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long build and develop the lending team takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your board chair or lead independent director
“What data do we already have that could improve how we handle build and develop the lending team?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with build and develop the lending team, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for build and develop the lending team, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.