Despite $252.3 billion in global AI investment, the gap between organizational enthusiasm and execution capability has never been wider. These statistics reveal the true state of enterprise AI deployment.
Join the BetaSources: McKinsey Global AI Survey 2024, BCG AI Adoption Study 2024
McKinsey's research of 1,491 participants across 101 nations reveals that while companies can validate pilots within 60 days, scaling to production typically requires 14 months. Gartner predicts 30% of generative AI projects will be abandoned after proof of concept by the end of 2025.
The gap between proof-of-concept and production deployment is where most AI initiatives fail
85% of AI projects are derailed by these challenges and companies are forced into 14-month scaling timelines.
Critical engineering resources get diverted from core product development to handle AI evaluation and implementation requests.
Connecting to diverse enterprise data sources requires custom, non-replicatable work across multiple systems with different formats and access patterns.
Pressure to choose the "best" solution today forces organizations down specific vendor paths with high switching costs and "astronomical" egress fees.
Multiple subscriptions, licenses, and vendors require ongoing support, updates, and management overhead across complex AI stacks.
Severe shortage of AI/ML talent with specialized roles commanding massive salary premiums and hiring difficulties.
Poor data quality, inconsistent formats, and data silos undermine AI effectiveness and require extensive cleaning efforts.
EU AI Act compliance alone costs €29,277 per AI system annually, while only 18% have enterprise-wide AI governance councils.
Despite massive investment, only 17% of organizations attribute 5% or more of their earnings to AI initiatives.
User adoption challenges, workflow integration issues, and resistance to new AI-powered processes limit value realization.
What if you could bypass the 14-month scaling nightmare?
What if enterprise AI deployment didn't require rebuilding your entire data infrastructure or hiring dozens of specialized engineers?
Pre-built enterprise integrations and proven deployment patterns
Connect to your existing systems without rebuilding infrastructure
Your existing team can deploy and manage enterprise AI agents
Compliance and risk management included, not an afterthought
Join innovative teams skipping the complexity and deploying enterprise AI in days, not months
Your Engineering Operations Executive Team Will Thank You
Average time to
deploy in production
Enterprise data
sources supported
Custom integration
development required
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