Manual Excel, email and Teams work
Approvals, status checks, handovers and recurring reports still depend on copy, paste and follow-up messages.
Tiravera SL
Operational systems, data and workflow improvements that survive daily use.
Tiravera helps teams turn EAM friction, unreliable reports, manual Office work, interface gaps and practical AI ideas into small usable improvements with clear ownership, documentation and production guardrails.
Start with one workflow, report, interface, EAM issue or AI idea. Tiravera maps the system boundary, data quality risk, human handover and useful next step before building.
EAM and operational systemsMicrosoft 365 workflow automationInterfaces, data quality and AI guardrails
Operational bottlenecks
The issue usually sits between systems, data and handovers.
Operational work slows down when people cannot trust the data, the report, the interface, the custom logic or the workflow around it.
EAM reports that are not trusted
Maintenance and reliability teams see different numbers in EAM, spreadsheets, BI and local workarounds.
Weak operational data quality
Assets, work orders, failure codes, meter readings and required fields are too inconsistent for reliable reporting or AI.
Interfaces with operational mismatch
The interface technically runs, but the receiving team still gets incomplete records, late updates or unclear ownership.
AI ideas blocked by messy sources
Useful assistants need known sources, clean enough data, approval points and a fallback process.
Undocumented custom logic
SQL, FlexSQL, JavaScript, forms, workflows and local scripts are risky to change because the current logic is unclear.
Service routing
If this is your problem, start here.
Pick the starting point that best matches the operational pain. The first conversation can stay narrow.
EAM Quick Audit
For teams that are not sure where the real EAM bottleneck sits. Review symptoms, system boundaries, data quality and next-step priorities.
View EAM Quick AuditEAM & Integration Sprint
For known HxGN EAM, SQL/FlexSQL, JavaScript, report, workflow or interface improvements that need hands-on delivery.
View sprintInterface & Data Reliability Sprint
For interfaces that technically run but create mismatched records, delayed updates, missing context or manual reconciliation.
View reliability sprintEAM Data Quality & Reporting
For asset, work order, failure code, meter, reporting and dashboard foundations that teams need to trust.
View data and reportingOffice Workflow Automation
For Microsoft 365 workflows around Excel, Outlook, Teams, SharePoint, Power Automate and operational handovers.
View Office automationOperational AI Assistants
For assistants and data products around operational documents, EAM exports, reports, SharePoint content and human approval points.
View AI assistantsPartner Delivery Support
For EAM, ERP, integration and implementation partners that need specialist capacity while keeping account ownership.
View partner supportService pillars
Four practical delivery areas.
EAM & Integration
HxGN EAM customization, SQL/FlexSQL, reports, interfaces, work order logic, forms and handovers.
View EAM pillarOffice Workflow Automation
Power Automate, Excel/API sync, Outlook approvals, Teams notifications and SharePoint workflows around operational work.
View Office automationOperational AI Assistants
Assistants and data products with source visibility, human approval, logging, privacy decisions and fallback processes.
View AI assistantsPartner Delivery Support
Partner-safe specialist support for EAM, ERP, integration and implementation teams at difficult delivery edges.
View partner supportComplementary specialist angles
Two perspectives on the same operational reality.
Tiravera combines integration, system boundaries and workflow architecture with EAM data quality, reporting reality and AI readiness.
Integration, system boundaries, workflow architecture and ML-ready data flows
The integration angle connects human workflows and software systems: interfaces, custom logic, SQL/FlexSQL, automation guardrails, ML-ready data flows and buildable solution architecture.
Meet the teamEAM data, evaluations, reporting and AI readiness
The EAM data angle stays close to data quality, evaluations, recurring analyses, dashboards, reports and the structures teams need to trust for reporting, automation and AI-assisted work.
Meet the teamHow Tiravera works
Small enough to ship, controlled enough to run.
The delivery model is built for practical improvements, not platform theatre.
Workflow first
Understand the real handover, approval, reporting or maintenance process before selecting tools.
System boundary
Clarify which systems own data, which interfaces move it and where manual decisions remain.
Data quality
Check whether the data is reliable enough for automation, reporting or AI-assisted work.
Smallest useful improvement
Build the narrow version that reduces real effort or risk before expanding scope.
Production guardrails
Add approval, logging, fallback, privacy and error-handling decisions where they matter.
Monitoring and handover
Document what was changed, how it can be checked and what should be hardened next.
Best fit
Environments where this work is most useful.
Manufacturing and process industry
Operational data, maintenance workflows, production-adjacent reporting and system handovers.
Maintenance and reliability teams
Work orders, assets, failure data, reports, dashboards and practical automation around EAM.
Facilities and building services
Service requests, maintenance planning, document flows, inspections and recurring reports.
Logistics and transport
Operational handovers, exceptions, status updates, document workflows and integration gaps.
EAM, ERP and integration partners
Specialist capacity for difficult EAM, SQL, reporting, interface and automation work.
Proof and trust
Public proof will grow from practical work.
No invented case studies, client names or metrics. Tiravera uses walkthroughs, field notes and practical examples only when they can be described honestly.
Founder field notes and walkthroughs
Current public material is practical background material. It is useful context, not Tiravera case studies.
Open YouTubePlanned field notes
Topics will cover report reliability, work order AI readiness, Office approval cleanup, interface mismatch and data-quality issue registers.
View insightsProject examples later
Specific examples will be added only when they can be shared without exposing client-sensitive information.
View examplesSend one workflow, EAM issue, report problem, interface gap or AI use case.
A short operational example is enough. Tiravera will help decide whether the next step should be a quick audit, focused sprint, small automation, AI prototype or stop decision.