Insight
The Five Tiers of AI Readiness: From Experimentation to the Orchestrated Enterprise
When the first generative artificial intelligence (AI) tools emerged in 2022, they marked the beginning of a technological leap. In just a few years, large language models (LLMs) have moved from novelty to mainstream technology, finding applications across multiple industries and becoming embedded in many aspects of daily life.
AI is also a compounding technology: the more it is used, the more it learns and the more it can do. This pace of change is a challenge for heavily rule-based and regulatory requirements driven sectors, such as maritime and offshore, with AI advances outpacing designers, shipbuilders, operators and regulators’ ability to incorporate them.
The Five Tiers of AI Readiness:
- Tier 1: Awareness
- Tier 2: Adoption
- Tier 3: Integration
- Tier 4: Agentic
- Tier 5: The Orchestrated Enterprise
- Climbing the Tiers
Nevertheless, adoption is accelerating. Less than three years after the launch of ChatGPT, a 2025 survey by Thetius and Marcura found that more than four out of five (81%) of maritime operations were already running AI pilot programs, while 82% of professionals believed AI could drive efficiency gains. This degree of hopeful experimentation with a novel technology is a signal of just how seriously the industry is taking AI as a tool to solve some of the big issues it faces. The question now: how quickly and effectively can the industry shift from experimentation to meaningful transformation?
There are five broad tiers of AI maturity, with most organizations today moving from the first to the second.
Tier 1: Awareness
At the first level, organizations recognize that AI is strategically important, but adoption remains limited to individual experimentation and isolated use cases. Employees may be using generative AI to draft documents, analyze information or improve personal productivity, but there is little coordination or strategic direction.
Tier 2: Adoption
The technology begins to gain traction. Employees use AI assistants and copilots, while businesses launch pilot projects aimed at demonstrating value. Nevertheless, AI is still largely operating alongside core processes rather than being embedded within them.
This is also where a significant gap can emerge between AI ambition and high-value application. The technical experts who understand an organization's data, systems and operational constraints may not yet be involved in AI initiatives – either because they have not been brought into the innovation process or because they remain skeptical about whether the benefits justify the risks. Closing this "guru gap" is an important step towards maturity.
Tier 3: Integration
At this stage, AI moves from experimentation into production. Models become embedded in business workflows and customer experiences, supported by governance, monitoring and measurable business outcomes.
For maritime and offshore organizations, the opportunities are already substantial. Predictive maintenance can analyze sensor data to identify anomalies and anticipate equipment failures, helping operators reduce downtime and optimize maintenance. AI can support rule verification and compliance by converting static regulations into machine-readable requirements and enabling automated checks within design and construction workflows.
It can also streamline engineering and classification processes, automate elements of model preparation and improve survey preparation and documentation. New use cases are emerging all the time. As cited in the ABS report Technology Trends 2026, ABS is exploring AI-based component detection and labelling in partnership with Texas A&M University, demonstrating how image and video analysis could make offshore asset inspection and inventory faster and more accurate.
Tier 4: Agentic
The next step is a fundamental shift: AI no longer simply assists people but begins to complete tasks and workflows autonomously, with humans providing supervision and defining boundaries for their “bot” colleagues.
This is particularly relevant to maritime because AI can increasingly be combined with Internet of Things (IoT), robotics and digital twins. Intelligent sensors can interpret data rather than simply collect it; AI-enhanced digital twins can continuously monitor and simulate complex systems; and robotics can support autonomous inspection, maintenance and repair.
Projects such as ICESIGHTS, being developed by ABS with Memorial University in Newfoundland and Labrador and described in Technology Trends 2026, combine optical equipment, LiDAR and advanced sensors with AI to identify hazardous ice features and recommend safer, more efficient routes.
Tier 5: The Orchestrated Enterprise
At the highest level, organizations move beyond individual AI agents to networks of specialized agents working together across the enterprise. Humans define objectives, policies and exceptions, while AI agents coordinate work across functions, continuously optimizing operations.
For maritime, this could ultimately mean AI systems connecting information from vessels, fleets, engineering, maintenance, logistics, compliance and environmental conditions to support decisions across the entire operation. Generative design, energy optimization, digital twins and autonomous systems could become components of a much broader, continuously optimizing ecosystem.
Climbing the Tiers
Reaching the upper tiers is not simply a question of adopting more powerful models. Safety, cybersecurity, trustworthiness, clarity and workforce adaptation become increasingly important as AI takes on more responsibility.
For a safety-critical industry, the path to Tier 5 cannot be a race towards autonomy for its own sake. It must be a controlled progression, building trust and capability at each tier, strengthening governance and cyber resilience, and ensuring people at all levels of the organization understand both the opportunities and limitations of the technology.
The organizations that ultimately gain the greatest value from AI may not be those that adopt it fastest, but those that can climb the tiers in a safe and measured way.
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