#ai-implementation

#ai-implementation

The new program - which forms part of the company's Destination AI enablement framework - offers a three-phase pathway oriented around discovery, scoring, and activation. Partners work with customers to identify pain points across their organizations, with use cases then scored and prioritized based on factors such as feasibility, impact, and strategic alignment. The workshop then concludes with a shortlist of two to three high-value AI initiatives and a tailored 90-day roadmap for implementation.

A MIT study last year showed that 95 percent of generative AI implementations fail. They generate little to no business value. There can be various reasons for this. Think of poor integration, little focus on solving real problems, and unrealistic expectations. As far as Appian CEO Matt Calkins is concerned, this is an absurd percentage for something that is seen as the breakthrough technology of this generation.

AI agents did not take off in 2025. Obstacles include legacy systems and architecture. Companies that succeeded were thoughtful about implementation.

When it comes to agentic artificial intelligence, the fear of missing out factor is clear. Organizations are plopping down agents, in part, because that's what everyone else seems to be doing. But FOMO is not a business strategy. To make agentic AI work, business leaders need to ignore the hype and concentrate on establishing exactly what agents can do for them, how, and at what cost.

Our commitment to clarity and security drives our operations, taking inspiration from Johannes Kepler to illuminate the path for our Fortune 500 clients.

AI doesn't fail because of the tech. It fails because there's no business case, no clean data, or no one truly accountable for results.