ESG’s “Customer-First AI Solutions” place your customers’ needs at the nucleus of our AI Design Methodology to ensure impact at scale. Our clients are not looking for another tool with empty promises – they are looking for AI solutions that enhance output, without sacrificing the special touch that make their customers stay.
As Customer Success practitioners, ESG blends tactical CS experience with modern AI capabilities.
In our experience, a successful AI program deployment requires a strong foundation of CS essentials – segmented customers, a comprehensive health index, defined playbooks, etc – in order to achieve the desired outcomes. Launching AI into an environment without proper planning and reinforcement will painfully expose any gaps you may have in the fundamentals of your CS practice. We help our clients identify and close those gaps so they maximize the value of their AI investment.
ESG’s AI for Customer Success approach uses real-world experience to conduct a comprehensive evaluation of how CS currently engages with your customers. The initial phase identifies bottlenecks in your operating model by analyzing the ideal Customer Journey against current engagement models, workflows, and supporting data – providing the foundation for a clear roadmap towards your AI transformation.
ESG’s “Customer First AI Solutions” prioritize Moments that Matter most to your customers. Our strategy ensures that CSMs retain their essential human connection with customers and that they are enabled to expand that reach.
ESG is AI tool agnostic. We equip your team with the right AI toolkit tailored to fit your unique environment – enhancing productivity and customer coverage, without sacrificing effectiveness.
Beyond the initial phase, ESG is equipped to help you Deliver “Customer-First AI Solutions” and facilitate the Change Management required to adopt new emerging operating norms that come with AI.
Our AI Design Methodology mirrors our proven CSaaS® Program Methodology that has led hundreds of successful business transformation over our 23-year history.
Only 5% of AI pilot programs achieve rapid revenue acceleration and the vast majority stall delivering little to no measurable impact on revenue.
Purchasing AI tools from specialized vendors and building partnerships succeed 67% of the time.
95% of generative AI pilots at companies are failing. [MIT Review]
