As auto finance continues to evolve, lenders are increasingly evaluating digital solutions powered by AI to streamline operations, improve compliance and deliver smarter experiences to dealers and customers.
The auto finance space is highly specialized, with unique workflows, regulatory requirements and lending structures. This makes customer success and account management critical differentiators when adopting new technology.
In fact, 97% of lenders are prioritizing onboarding as a strategic growth driver — nearly double what was anticipated a few years ago, according to Informed’s 2025 Customer Onboarding Report. The shift underscores how onboarding, customer success and account management have evolved from support functions to key levers for realizing the full value of digital solutions and accelerating ROI in auto finance.
For lenders and decision-makers, knowing what to expect during implementation can make the difference between a smooth rollout and costly delays. The following list details what to expect and important questions to ask.
1. Onboarding begins before the contract
AI-enabled solutions grounded in real-world lender implementations provide far more reliable insight than proof-of-concepts (POCs), which can often overestimate ROI and overlook the hidden costs and time associated with production rollout. While POCs may demonstrate technical capability, they rarely account for the complexity of lender integrations, data quality, regulatory nuances or internal change management.
For example, one national auto lender that transitioned from a short-term POC to full-scale deployment of an AI income verification tool found that while the POC predicted a 40% reduction in manual reviews, but the real-world rollout achieved a sustainable 22% improvement after accounting for workflow integration and policy alignment. However, the long-term ROI proved stronger because the implementation was purpose-built for auto finance, enabling deeper automation over time and reducing verification cycle time by nearly two full days.
Key questions to ask:
- What measurable outcomes have similar lenders achieved after full implementation?
- How does your team account for operational realities — like integrations, compliance and lender-specific workflows — when estimating ROI?
2. Learning from real implementations, proven results
Instead of relying on hypothetical proof-of-concepts, lenders now look to real-world success stories that demonstrate measurable ROI within the auto finance ecosystem. Customer testimonials and case studies from peers provide credible insights into what implementation truly looks like, highlighting performance outcomes, adoption timelines and long-term value.
AI-enabled solutions built for auto finance can draw on these experiences to help new lenders understand what works, what to expect and how to accelerate time to value.
Key questions to ask:
- How early does onboarding engagement begin?
- Can you share examples or testimonials from lenders with similar portfolios or operational models?
3. Customer success teams with niche expertise
In auto finance, generalist support isn’t enough. Look for Customer Success Managers (CSMs) with deep knowledge of dealer operations, lending compliance and the intricacies of auto finance workflows. Their expertise ensures AI-driven solutions are applied effectively and deliver measurable results.
Key questions to ask:
- How experienced is your CS team in auto finance?
- Can they provide proactive guidance on workflows, compliance and maximizing AI capabilities?
4. Alignment across sales, product, success teams
AI solutions generate insights that must be actionable. Tight alignment between sales, product and success teams ensures issues are resolved quickly, feedback informs AI models and long-term outcomes — not just renewals — define success.
Key questions to ask:
- How are your success, product and sales teams aligned?
- How do you incorporate client feedback to improve AI models and overall solution performance?
5. Continuous development, strategic partnership
The auto finance industry is constantly evolving, from compliance updates to emerging lending practices. The best vendors treat implementation as an ongoing partnership, leveraging AI insights to optimize workflows and deliver measurable outcomes. Expect quarterly business reviews that explore evolving needs, efficiency gains and opportunities to scale.
Key questions to ask:
- How do you define long-term success with your clients?
- How do you engage customers in shaping AI capabilities and product evolution?
The bottom line for lenders
Implementing digital solutions in auto finance isn’t just about software — it’s about partnership, niche expertise and leveraging AI to drive measurable outcomes. A strong customer success and account management approach ensures early value delivery, smooth implementation and continuous optimization.
When evaluating vendors, focus not just on features or AI hype. Look at who guides you, how they work with your team and how your feedback informs ongoing development. In a highly specialized industry like auto finance, these factors make the difference between a technology purchase that meets expectations and one that truly transforms operations.
Jessica Gonzalez is the vice president of customer success at Informed.IQ and has more than 15 years’ experience in the financial services industry, including tenures at Santander Consumer USA and Visa.
Content sponsored by Informed.IQ
