95% of AI Pilots Fail, Maisa AI Bets on Accountability
AI
Startups
Funding
Automation
Enterprise Software
Artificial Intelligence
Spain
Creandum
8
Process Over Promise
Media Hype
7/10
Real Impact
8/10
What is the Viqus Verdict?
We evaluate each news story based on its real impact versus its media hype to offer a clear and objective perspective.
AI Analysis:
While generative AI hype remains high, Maisa's emphasis on a pragmatic, process-driven approach – prioritizing accountability and demonstrable results – demonstrates a necessary shift away from overly optimistic claims, offering a more realistic path to successful AI integration.
Article Summary
A startling 95% of companies piloting generative AI have failed to achieve desired outcomes, according to a new MIT NANDA initiative report. This highlights the challenges of relying solely on 'black box' AI models. Maisa AI is tackling this problem head-on with its Maisa Studio platform. This system allows users – even those without technical expertise – to deploy digital workers trained through natural language. The company's core strategy centers around 'chain-of-work', a process designed to manage AI execution with accountability. Founded by David Villalón and Manuel Romero (formerly of Clibrain), Maisa prioritizes trustworthiness and auditability, addressing concerns around hallucinations and unreliable AI. The startup’s initial $25 million seed round, led by Creandum, demonstrates investor confidence in this approach. Maisa is targeting enterprise clients across sectors like banking, automotive, and energy, offering secure cloud or on-premise deployment options. The company’s unique HALP system – where users outline their needs to guide the digital workers – and the Knowledge Processing Unit (KPU) further differentiate it from vibe-coding platforms. While facing competition, Maisa’s focus on regulated industries and complex use cases presents a strong value proposition. The company is rapidly expanding, anticipating growth to 65 people by early 2026.Key Points
- 95% of generative AI pilot programs are failing, signaling significant challenges in widespread adoption.
- Maisa AI's core strategy revolves around 'agentic AI' – digital workers trained through natural language with a focus on accountability and process management.
- The startup's novel approach, centered on 'chain-of-work' and the HALP system, aims to address the limitations of current AI models and build trust with enterprise clients.