Independent EAM assurance · advisory · training
Strengthen maintenance processes, master data and implementation decisions across Oracle EAM, IFS and other enterprise platforms.
Led by Lokesh Tayal · Explore the experience →
Where are you now?
Choose the situation closest to yours. Each path begins with a focused question, not a predetermined software answer.
Clarify process scope, responsibilities, master data and the questions your RFP must answer.
Prepare with purpose → 02 · AssureTest whether design decisions, data, testing and adoption remain aligned with operational intent.
Review delivery risk → 03 · RecoverSeparate system gaps from process, ownership, data-quality and work-discipline problems.
Find the value gaps → 04 · AlignLink maintenance objectives, ISO 55001 thinking and daily EAM-supported decisions.
Align maintenance and EAM →Focused starting engagements
Three low-friction ways to create clarity before committing to a larger programme. Scope and format are confirmed around your context.
For a priority, implementation concern, RFP question or cloud-move decision that needs independent challenge.
For a team concerned about work management, planning, master data, adoption or value after implementation.
For leaders, maintenance teams, project teams or solution professionals who need a common operating language.
The EAM Value Lens
EAM programmes can underperform even when the application provides the required features. Value is lost when the chain between intention, process, data, decisions and daily discipline breaks.
Four connected strengths
One perspective across asset-intensive operations, enterprise products and the people who put them to work.
Align asset-management intent, maintenance practice and application decisions so implementation supports the way the organisation needs to operate.
AI opportunities: work-order triage, maintenance-data checks and failure-analysis support, subject to reliable data and engineering review.
Explore EAM advisory →Bring process knowledge into requirements, product priorities and adoption, across enterprise applications and an entrepreneurial software product.
AI opportunities: research synthesis, requirements exploration, documentation and test design, with product-owner validation.
Explore product-management expertise →Evaluate AI, data and industrial IoT through a practical question: which process, decision or learning experience could become better?
AI opportunities: anomaly investigation, ERP exception analysis and training-content development. Scope, evidence and human accountability matter.
Explore AI, data and industry innovation →Connect market context, discovery and product capability with a credible customer conversation, through the sale and into delivery.
AI opportunities: account research, discovery preparation, proposal drafts and demonstration storylines, verified against customer facts and product capabilities.
Explore enterprise solution engineering →International, industry-grounded perspective
Singapore-based and open to assignments across Asia Pacific, the Middle East, Europe, the United States and other markets.
Review Lokesh's experience →Experience spans the customer, implementer, software-vendor and independent-advisor sides of enterprise transformation.
Selected industry exposure
Why Lokesh Tayal
Technical configuration is only one part of implementation success. The harder work is connecting process intent, operational realities, data, people and product decisions.
Featured talk
Connecting industrial technology with better decisions and business value.
Ideas before tools
Explore implementation risk, responsible AI opportunities and product innovation through the same process-led perspective used in advisory work.
Watch the IoT talkA focused first step
Share the decision, process or implementation concern you want to improve. We can define the smallest useful engagement and the evidence it should produce.