By Nancy Sperry
For partners serving finance and accounting teams, AI is no longer a future-facing conversation. It’s already changing what customers expect from their technology providers, and it’s raising the bar for what it means to be a trusted advisor. VARs and ISVs are being pushed up the value chain, transitioning from traditional system implementers to highly valued strategic advisors.
I’m seeing this shift first-hand across the partner ecosystem. The most forward-looking partners are moving beyond efficiency gains and helping finance teams understand where AI can improve decisions, reduce risk, and create more confidence in the numbers they rely on every day. In doing so, they’re creating new opportunities for growth and strengthening relationships with their clients.
But in finance, AI adoption will only move as fast as trust allows.
Finance leaders operate in a world of compliance, auditing and precision. They will not rely on AI outputs that they cannot explain or validate. If a finance team cannot trace how an AI agent arrived at a specific forecast or recommendation, they simply cannot act on it.
This is where the partner channel plays a critical role. Businesses need partners and advisors who can help them understand where AI adds value, how to implement it effectively and how to build confidence in the outcomes. By acting as the bridge between raw technology and practical, trusted deployment, partners can make themselves indispensable.
We’re entering a new era for the partner market. Technology may open the door, but trust is what instills confidence for businesses to drive long-term success. The firms that thrive will be the ones finance leaders will turn for guidance when the path forward isn’t always clear.
The Trusted Advisor Playbook: Three Strategies for Success
For partners looking to lead their clients on this journey and capture the AI advisory opportunity, the transition requires a shift in how they position, package and deploy technology. Partners should focus on three core strategies to successfully scale this shift:
- Focus on Decisions, Not Tasks
Historically, the advisory firms built strong businesses by automating repetitive tasks: data entry, invoice routing, routine reports. But today, basic automation is table stakes. To truly move up the value chain, partners must shift their focus from tactical time-savings to strategic decision-making.
Instead of asking, “How can we help your team enter this data faster?” partners are asking, “How can we help your leadership team make better-informed decisions?” This means prioritizing AI use cases that directly impact high-level business outcomes. Focus on workflows such as continuous month-end close, real-time predictive forecasting and automated internal controls. When you help a client move from retrospective reporting to forward-looking predictive analysis, you transition from a software vendor to an indispensable business strategist.
- Lead with Trust to Drive Adoption
In finance and accounting, trust is the ultimate currency. If a CFO or controller doesn’t feel confident in new technology, they’ll revert to manual spreadsheets every time. To combat this hesitancy, partners must resist the urge to deploy wide-ranging AI solutions overnight. Instead, the key to successful adoption is to start small and lead with transparency.
Begin by implementing AI in core, everyday workflows where the outputs can be easily explained, verified and audited. Show the client the “why” behind the technology’s recommendations. For example, if an AI tool flags a transaction anomaly, ensure the system clearly outlines the historical patterns that triggered the flag. When finance teams see that the technology is reliable, consistent and fully auditable, their confidence will grow.
- Reduce Implementation Friction to Unlock Value Faster
One of the greatest barriers to growth for VARs and ISVs is project fatigue and the high labor overhead associated with custom, complex deployments. If a partner spends all their time and resources manually building and configuring bespoke systems, they have little capacity left to deliver actual advisory services.
Partners also need to make AI easier to adopt. If every deployment feels custom, complex and resource-heavy, it becomes harder to scale advisory services. Standardized onboarding, repeatable templates and clearer implementation paths can help partners deliver value faster while freeing their teams to focus on higher-value client guidance.
By reducing implementation friction, partners can accelerate time-to-value for their clients, significantly lower their own delivery overhead and immediately redirect their internal talent toward higher-margin advisory work.
The partner ecosystem has always been built on deep expertise and strong customer relationships. In the AI era, those strengths matter more than ever. The partners who win in this next chapter will be the ones who make AI feel practical, explainable and safe to use in the moments that matter. For channel partners, that is a real advisory opportunity: helping clients not just adopt AI but trust the decisions it supports.
Nancy Sperry is an accomplished technology sales executive with more than 25 years of experience driving growth through high-impact partner ecosystems. As vice president of US partner sales at Sage, she leads strategic initiatives that accelerate partner performance and deliver measurable business outcomes.
