Our Services
Agentic AI Stratgy
We help organizations identify where AI agents can safely improve decision-making, reduce manual effort, and support operational workflows. Our focus is on practical agent strategies that connect people, processes, systems, and data.
AI Readiness Assessment
We assess your organization’s readiness to adopt AI across people, data, systems, and workflows. The result is a clear roadmap that identifies gaps, priorities, risks, and practical next steps.
Enterprise Asset Management
We help asset-intensive organizations strengthen the structure, quality, and governance of their operational asset data. Our work connects asset hierarchies, classifications, attributes, locations, and lifecycle requirements into a stronger EAM foundation.
Owner’s Representative - BIM & Data
Twiniti represents owners during design, construction, and handover to ensure BIM and asset data are structured for operations from the start. We help define information requirements, review deliverables, validate data quality, and connect project information to EAM, digital twin, and lifecycle asset management needs.
Agentic Workflow Design
Twiniti designs AI-enabled workflows that move beyond chatbots and into structured business execution. We define the roles, guardrails, integrations, and governance needed for agents to operate reliably.
AI Strategy and Roadmaps
Twiniti helps leadership teams move from AI interest to actionable implementation. We translate business objectives into a phased plan for governance, training, pilots, and scalable adoption.
Maximo Advisory
Twiniti provides IBM Maximo-focused advisory support for configuration, data quality, workflows, reporting, and operational adoption. We help organizations align Maximo with real maintenance, engineering, and asset management practices.
Owner’s Representative (BIM & Data)
Protecting the owner’s long-term data and asset interests during design and construction.
Owners need more than models, drawings, and closeout documents. They need structured information that can support operations, maintenance, EAM systems, digital twins, and long-term lifecycle asset management.
Twiniti represents the owner’s BIM and data interests throughout design, construction, commissioning, and handover. We help define requirements, review BIM and asset data deliverables, validate data quality, and ensure project information is structured for operational use from the start.
Scope
- BIM standards development
- BIM execution plan review
- Model QA/QC
- Asset information requirements
- LOI / data drop definition
- Digital twin readiness during capital projects
- Handover and commissioning data oversight
AI Readiness Assessment
Understanding whether your organization is ready to adopt AI at scale.
Most organizations do not fail with AI because of the model. They struggle because the data, workflows, governance, and adoption model are not ready.
Twiniti assesses AI readiness across people, processes, systems, data, governance, and operational use cases. The result is a practical roadmap that identifies gaps, risks, priorities, and the steps required to move from AI interest to responsible execution.
Scope
- Executive AI readiness assessment
- Team and role-based readiness review
- Workflow and process analysis
- Data and system readiness evaluation
- AI governance and risk review
- Prioritized AI roadmap
Enterprise Asset Management
Building the operational data foundation for asset-intensive organizations.
Strong EAM outcomes depend on more than software. They require clear asset structures, consistent data, useful classifications, governed attributes, and lifecycle information that supports planning, maintenance, reporting, and decision-making.
Twiniti helps organizations strengthen the foundation behind their EAM programs. We work across asset hierarchies, classifications, locations, attributes, systems, and governance processes to improve operational clarity and prepare asset data for AI, automation, and digital twins.
Scope
- EAM strategy and operating model review
- Asset hierarchy and classification design
- Asset attribute and data standard development
- Location and system structure definition
- Lifecycle asset data governance
- EAM, BIM, GIS, and digital twin alignment
Agentic Workflow Design
Moving from AI ideas to executable workflows.
Agentic AI requires more than prompts and tools. It requires structured workflows that define what the agent can do, what data it can access, when a human must approve, and how results are monitored.
Twiniti designs AI-enabled workflows that connect people, systems, documents, and operational data. We help organizations define the process logic, integration points, governance rules, and feedback loops required for agents to operate reliably.
Scope
- Workflow discovery and mapping
- Agent task and decision design
- Human approval and escalation paths
- System and data integration requirements
- Governance and audit controls
- Pilot workflow design and implementation support
AI Strategy & Roadmap
Turning AI interest into a practical implementation plan.
AI strategy should not be a generic list of tools or experiments. It should connect business objectives, operational priorities, data readiness, governance, training, and measurable outcomes.
Twiniti helps leadership teams define where AI can create value and how to implement it responsibly. We translate strategic goals into a phased roadmap that prioritizes use cases, identifies dependencies, manages risk, and creates a clear path from pilot to scale.
Scope
- Executive AI strategy development
- Use case identification and prioritization
- Governance and adoption planning
- Training and capability roadmap
- Pilot planning and success measures
- 90-day, 12-month, and long-term roadmap development
Maximo Advisory & Optimization
Helping organizations get more value from IBM Maximo.
IBM Maximo can be a powerful enterprise asset management platform, but many organizations struggle to align configuration, data quality, workflows, and reporting with the way the business actually operates.
Twiniti provides Maximo-focused advisory support for organizations that want to improve system value, operational adoption, and asset data quality. We help teams assess current-state issues, improve classifications and attributes, refine workflows, strengthen reporting, and align Maximo with maintenance, engineering, and asset management practices.
Scope
- Maximo configuration review
- Classification and attribute improvement
- Asset and location data quality assessment
- Workflow and process alignment
- Reporting and dashboard advisory
- Operational adoption and governance support
At Twiniti, our products don’t just sit side-by-side. They connect. From the field to the boardroom, from sensor data to strategy, our platform suite works together to create intelligent, adaptive organisations. Lexi, Praxis, SignalDesk and your AI Readiness Test are nodes in an AI-First ecosystem — designed for speed, clarity and scale.
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Unified data-backbone: Your assets, models and workflows talk to each other.
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Modular deployment: Choose what you need now, scale what you need tomorrow.
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Future-proofed architecture: Built for integrations, built for growth.
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One vendor. One vision. One mission: operational intelligence at the speed of thought.
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Ready to transform?
Book a personalized demo or join our upcoming beta program and be at the forefront of the AI-First era.
Our Ecosystem
Meet The Team
John Smith
President & CEO
Jill Sanders
Head of Marketing
Frank M. Bua
CTO, Tech Lead