en.Wedoany.com Reported - TechSee, a visual AI company for customer service, has launched the Value Meter strategic analytics dashboard, a tool that transforms operational data from contact centers, field services, and self-service into a real-time, executive-level view of business impact.
A prominent issue currently facing enterprise AI is that many organizations invest heavily in AI but struggle to establish a direct link between investment and economic benefits. Data shows that 83% of organizations do not track the return on investment of their AI tools, and 42% of companies abandon most AI projects due to a lack of quantifiable returns. Most enterprises still measure success by AI adoption rates rather than actual business outcomes, a misalignment that leads to poor AI investment performance. Traditional dashboards typically only report user counts, session volumes, and license numbers, whereas executives truly need to understand business-level impacts, including reductions in on-site visits, faster problem resolution, lower costs, improved customer satisfaction, and enhanced customer retention.
The Value Meter is designed specifically to address this gap. The dashboard aggregates cross-platform impacts from TechSee's products, including Sophie Live, Sophie Assist, and Connectivity Guru, into a unified account-level view, measuring outcomes that matter to the business rather than mere activity counts. Each metric is presented with four layers of interpretation: absolute value, trend comparison with the previous period, benchmarking against industry peers, and the potential value still achievable if the account reaches top-quartile efficiency. The final layer shifts the discussion from what customers have already saved to the value space they can still tap into.
Eitan Cohen, CEO of TechSee, stated that the company's core belief is "you can't fix what you can't see." Previously, this concept was applied to customer service, making issues within the home visible; now, with the Value Meter, the same logic is applied to AI itself, enabling organizations to observe the business impact of their AI investments in real time for the first time. This is particularly critical for institutions looking to accelerate AI investments in key areas.
The results presented by the Value Meter are based on actual data already delivered by TechSee in the field, including containment rates of 80% to 90% for self-service and self-installation in telecom deployments, first-time dispatch failure rates reduced from 25% to 40% to single digits, and on-site visits reduced by up to 75%. Previously, this data had to be manually compiled for periodic reviews; now, stakeholders from contact center managers to C-suite executives can access it on demand in real time.
