AI Readiness

Common Challenges in AI Adoption

The push to adopt AI exposes weaknesses that have existed in organizations for years. Gaps in data, work processes and leadership alignment turn promising initiatives into stalled projects that never deliver on expectations.

Proof of Concept Purgatory

AI pilots create excitement but often stay stuck in “demonstration mode.” Without a clear business case and alignment with operational needs, leaders struggle to justify investment and teams lose confidence when results cannot be translated into measurable improvements.

Information Roadblocks

AI depends on accurate information, but most facilities are built on decades of disconnected records. Significant inconsistencies across many systems used to manage and track asset information leave extensive gaps and inaccuracies. When the source information cannot be trusted, AI produces unreliable results and adoption quickly stalls.

Integration Challenges

AI cannot deliver value if it functions outside of daily workflows. When models are disconnected from enterprise systems like SAP, Maximo or Hexagon, insights become stranded. Teams are then forced to manually bridge the gap, slowing adoption and undermining efficiency gains.

Internal Resistance

AI changes how engineers and operators do their daily work. When staff are not involved in shaping the solution, they see it as a threat to their roles. Resistance grows when tools add steps or lack clear purpose, and without strong sponsorship and change management, adoption stalls and value is lost.

Preparing Your Organization for AI

ReVisionz helps organizations move from isolated pilots to sustainable adoption. Our approach is built on extensive experience with asset-intensive industries where engineering, maintenance and operations all depend on trustworthy information. We focus on strengthening the conditions that AI requires so initiatives can scale and deliver measurable impact.

We start with maturity assessments that show where an organization is today. From there, we identify practical use cases and build roadmaps that connect investment to tangible outcomes. By applying proven tools such as Cognite, Cerebre, IPS and proprietary ReVisionz AI agents, we turn disconnected data into knowledge that supports daily decisions. This preparation allows owner-operators to invest in AI with confidence and realize business value instead of remaining in demonstration mode.

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Build Your AI Foundation

AI Consulting Services

We help organizations cut through complexity and define a clear strategy for AI adoption by:

Conducting maturity assessments to evaluate current readiness.
Identifying and prioritizing use cases that align with business and operational objectives.
Developing phased roadmaps that reduce risk and maximize return.
Building business cases and ROI models to secure sponsorship and investment.

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Data Services (Data as a Service)

Trusted data is the foundation of AI. Our AI-enabled data services convert fragmented information into usable assets by:

Digitizing entire facilities using solutions such as Cerebre PlantGraph for interactive digital twins.
Classifying, normalizing and enriching text-based work orders across systems such as SAP PM, Maximo, HxGN EAM and j5.
Validating & consolidating tag registries to improve system reliability.
Building structured document registries enriched with metadata for governance and accessibility.
Remediating poor handover data to align with industry standards and preparing it for AI-driven insights.

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Technology Foundation for Digital Transformation

AI requires a connected, contextualized technology environment. To lay the groundwork for this, we:

Implement solutions such as Cognite to integrate and contextualize data across engineering and operations.
Create knowledge graphs to connect information across the lifecycle.
Ensure real-time accessibility of data for AI models, advanced analytics and decision support.

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Agentic AI

We develop digital “workers” that handle repetitive tasks, freeing staff to focus on oversight, planning and decision-making. These agents include:

Maintenance planning agents that assemble work orders with supporting drawings, procedures and data.
Document control agents that classify files, extract metadata and update systems automatically.
Project and operations data-entry agents that reduce manual effort and eliminate delays.

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Change Enablement & Training

The success of your AI adoption is directly tied to people embracing and adopting your new solution. Successful transformations require a strategy for the technological, organizational and individual impacts of related changes.

ReVisionz integrates client-customized change enablement and training in all our services to help you achieve the intended outcomes for your assets and prepare your organization to maximize value delivery from your projects.

Effective & Actionable Change

Our approach to change management is based on the PROSCI industry model. We adapted the model to increase the effectiveness of asset and process safety information management transformations across your site or enterprise. It considers change management from the perspective of four key levers:

Leadership & Ownership

Establishing alignment of leaders and teams, alignment of roles with capabilities and expectations, and defined ownership.

Communication

Sharing the vision, the business case, the plan, and the expected outcomes.

Knowledge Transfer & Training

Developing and delivering training to build sustainable skills and capabilities.

Business Readiness & Measurement

Understanding organizational impacts, assessing and enabling readiness, and measuring progress and risk.

Success Stories

Improving Asset Registry with VEERUM

ReVisionz helped improve the asset registry for a mining company through their deployment of VEERUM’s data visualization software. This enabled our team to identify incorrect and missing information for the client, saving up to 60% of the cost compared to manually reviewing the registry.

Delivery of complete, compliant, and consistent information from EPCs