Meridian Technologies, a Fortune 500 consulting firm, announced today the launch of their groundbreaking “Human Legacy Operations” pilot program, which involves having employees perform tasks using what the company calls “wetware processing units” and “manual dexterity interfaces.”
The initiative comes after the company’s $50 billion investment in artificial intelligence systems over the past three years yielded what CFO Margaret Chen described as “disappointing returns that failed to meet even our most conservative projections.”
“After extensive analysis, we discovered that our human resources were sitting idle while our AI systems generated impressive reports about potential efficiency gains,” Chen explained during a press conference. “We realized we could potentially achieve actual productivity by having these human assets perform the work directly.”
The pilot program, which begins next month, will assign employees to complete projects using traditional methods such as “critical thinking,” “problem-solving,” and “interpersonal communication.” The company has allocated $2.3 million to train employees on these legacy technologies.
“We’re particularly excited about something our research team calls ‘experience-based decision making,'” said Chief Innovation Officer David Rodriguez. “Early tests show that employees who have actually done similar work before can often predict outcomes with remarkable accuracy, sometimes exceeding our AI models by 300%.”
The company’s AI infrastructure, which includes 47 different machine learning platforms and employs 200 AI specialists, will remain operational to generate quarterly reports on the human work initiative. These reports will be reviewed by a separate AI system that specializes in analyzing reports about human productivity.
Meridian’s stock price jumped 12% following the announcement, with several analysts praising the company’s “bold innovation in human resource utilization.”
Employee response has been mixed. Senior analyst Sarah Williams noted, “It’s strange being asked to actually solve problems instead of just feeding data into systems that produce recommendations nobody reads. But I have to admit, it feels oddly satisfying.”
The company plans to expand the program to additional departments if the pilot shows measurable results. “We’re optimistic that this human-centric approach could revolutionize how work gets done,” Chen concluded. “Though we’ll obviously need our AI systems to validate that assumption.”