Give employees a practical way to report maintenance needs. MetaDynamic builds request applications that capture the asset, symptoms and urgency, then guide the issue to a responsible team.
Configurable AI agents · NLP & voice · Workflow automation · Analytics
Filter by owner and period to prioritise the work.
Open the underlying records to investigate exceptions.
Track the next action against an agreed business measure.
A requester identifies the asset or location, describes the symptom and adds relevant evidence. The maintenance team reviews urgency, checks for an existing issue and assigns responsibility. The requester sees acceptance and progress without receiving restricted technical details. An approved request becomes a work order when planning, parts or a scheduled intervention are needed.
Choose the modules your team needs. The agreed configuration defines included features, data access and connected systems.
Record the affected asset, location, symptoms and supporting images.
Review priority and required skills before assignment.
Keep the requester informed about acceptance and progress.
Convert approved requests into planned maintenance work.
A confirmed issue routes to triage; approved work becomes a work order with asset context.
Use supported connectors and event-driven workflows where suitable. For a legacy screen-based task, RPA can be scoped with controlled credentials, exception handling, monitoring and recovery. Record identifiers and duplicate checks help prevent a retry from creating a second transaction.
Configure an app-specific agent to turn a technician description into a structured draft and suggest an approved inspection checklist; staff confirm urgency.
Safety decisions, machine operation and technical release remain with trained personnel.
Agent tools, allowed actions, knowledge sources and access boundaries are agreed during solution design. The example question shows a proposed interaction, not a live AI connection.
Ask an agreed business question, retrieve only permitted records and show the source behind the answer. Unsupported questions should return a clear limit rather than an invented response.
Optional speech input can capture the question or task. Show the transcript for confirmation, keep typing available and validate the chosen language, device and working environment.
Connect the selected operational measures to their source records. Agree ownership, filters and refresh intervals so the team knows what the numbers mean.
Compare the current period with an agreed baseline. Separate open work from completed records.
Investigate by owner, date, entity or location where those fields are available and permitted.
Follow the exception to its source and assign an action. Validate the definition before using it as a KPI.
Operational dashboards can be extended with Power BI or your approved analytics platform. Predictive analysis is scoped only where historical data, evaluation and monitoring support it.
Use a focused mobile or tablet experience to record an issue or complete an assigned job. Give laptop and desktop users more room for lists, comparisons and detailed reporting.
Responsive layouts, keyboard access and touch controls are part of the design brief. Camera, barcode, voice and offline options are included only where they suit the task and have been tested on the agreed devices.
Voice availability depends on the chosen speech service, language, microphone permission and environment. Sensitive information stays visible only to the authorised user; noisy or shared areas need a practical alternative.
MetaDynamic manages integration design, configuration and testing. Your users work through the application; your technical team gets clear ownership, monitoring and support arrangements.
Finance, purchasing, inventory, production and maintenance records; SAP HR data where relevant.
Review the deployed SAP product, authorised objects and supported connector or interface.
Operational records for Infor LN, M3 or CloudSuite, according to your deployed product.
Confirm available Infor OS/ION services, permissions and transaction coverage.
Dynamics 365, Microsoft 365, identity and analytics services relevant to the application.
Select licensed connectors and the appropriate Dynamics 365 or Microsoft data source.
Your existing master data, transaction records and agreed extension points.
Choose a supported interface, controlled file exchange or supervised RPA after system review.
Compatibility is confirmed against your product version, licensed services, permissions, required fields and supported operations. Native connectors, vendor interfaces, file exchange and RPA are different options—not a promise that every platform connects without setup.
Security requirements belong in the application design and acceptance criteria. Confirm the controls for the selected hosting, identity, data and AI services before release.
Scope SSO and MFA with the approved identity provider. Map access by role, entity and record, and separate preparation from approval where required.
Agree encryption, data location, retention, backup and recovery requirements. Store credentials in a managed secret store and minimise sensitive data in logs.
Apply source-system permissions to retrieval. Define permitted AI services, data handling and retention; log tool actions and require approval for consequential changes.
Test access boundaries, integrations and recovery scenarios. Agree vulnerability testing, monitoring and support ownership for the deployed configuration.
Start with minutes spent capturing and assigning a maintenance request. Measure the baseline, validate the target in a pilot, and include implementation and ongoing costs.
Measure for this app: Minutes spent capturing and assigning a maintenance request. The starting values are illustrative assumptions, not MetaDynamic customer results or guaranteed savings. Time released is capacity; it becomes cash savings only when costs are actually reduced.
Monthly hours = volume × max(current minutes − target minutes, 0) ÷ 60. Annual realised value = monthly hours × loaded hourly cost × realisation percentage × 12. First-year investment = one-time investment + 12 × monthly running cost. ROI = (annual realised value − first-year investment) ÷ first-year investment × 100. Simple payback = one-time investment ÷ (monthly realised value − monthly running cost), where the denominator is positive.
The model assumes 12 months at steady-state use. It excludes ramp-up delays, financing, tax and unquantified benefits. Avoid double-counting the same time savings across applications. Enter your own values; all calculation stays in your browser.
Test an unidentified asset, duplicate report, escalated priority and request converted into a work order.
Review request categories, priority rules, locations and escalation responsibilities. Confirm the users, devices, data owners and measures of success.
Configure the agreed workflows, screens, AI options and interfaces. Test normal records, permissions, exceptions and recovery with business users.
Train users, reconcile migrated data and introduce the application in a controlled rollout. Compare measured outcomes with the agreed baseline.
The proposal specifies the application modules, user roles, AI-agent actions, analytics, deployment and support included in your configuration. The interface walkthrough uses example records; delivered screens and enabled actions are validated against the agreed scope.
Relevant connection options include SAP, Infor, Microsoft, Custom ERP. We review your product version, licensed interfaces, permissions and required operations before confirming compatibility. MetaDynamic manages the agreed integration and testing.
These can be scoped around the application workflow. Natural-language responses need approved sources and permission-aware retrieval; voice requires a supported language, device and speech service. Safety decisions, machine operation and technical release remain with trained personnel.
MetaDynamic can deliver and support the agreed integrations. The implementation may use native connectors, vendor APIs, controlled files or RPA. Authentication, licensing, data mapping and error handling still need to be configured and tested.
We design the selected tasks responsively and agree a device/browser test matrix before rollout. Native mobile, offline, scanning and voice capabilities are separate scope decisions where needed; they are not implied by a responsive website.
Security controls are agreed for the deployed architecture and tested before release. ROI is estimated from your process volumes, measured time, costs and benefit-realisation assumptions, then checked after a pilot. The calculator is an estimate, not a guaranteed return.
Share your current process, core systems and priorities. We will map the right application scope, integration options, security requirements and measurable business case.
Related applications: Asset Management · Work Orders · Maintenance Scheduling