Controlled availability
Preventive work, failure and operating constraints share one calendar.

Capability · Asset maintenance
Connect criticality, preventive work, requests, work orders, skills, parts, downtime and feedback to decide at the right level.
A capability shaped by your flows, rules and field evidence.
Preventive work, failure and operating constraints share one calendar.
Skill, part, procedure, permit and window are qualified before dispatch.
Cause, action, time, consumption and result are structured.
Criticality and trend guide priorities rather than request volume.
Decision framework
CMMS becomes useful when each intervention supports a better decision about the asset, risk, part and maintenance plan.
Gaps to eliminate
Each gap connects an observable situation to a business consequence. Diagnosis then verifies frequency, impact and cause.
Equipment, subassembly, location and criticality are not aligned.
Unusable historyPlans ignore usage, condition or risk.
Over-maintenance or avoidable failureTechnician, part or permit is missing at the critical moment.
Extended downtimeWork order closes without cause, measurement or lasting action.
Recurring failuresOperational journey
Each transition identifies the participant, responsible system and expected proof.
Criticality
Prevent
Prepare
Intervene
Improve reliability
Decision lab
These scenarios are illustrative: they show decision logic and responsibilities without claiming to simulate your actual outcomes.
Line failure
A critical asset stops with a known code.
Qualify criticality, history, skill and part before assignment.
Diagnosis, work order and technician ETA visible.
Opportunistic preventive
A line stops earlier than planned due to material shortage.
Compare ready work, duration, risk and parts availability.
Grouped work and updated plan.
Service provider
A contracted asset needs specialist work.
Share scope, access, SLA, proof and service approval.
Service, parts, time and acceptance reconciled.
Responsibility architecture
The responsibilities below form a reference architecture to adapt to the existing IT landscape.
Actionable cockpit
Priorities combine criticality, risk, production, resource availability and feedback quality.
Success conditions
Activities, sites, participants, systems and boundaries are defined before any automation.
Each data item, rule, decision and exception has a business owner and responsible system.
An action is only treated as complete after verifiable feedback from the field or execution system.
A baseline, indicator, horizon and interpretation limits are agreed before the pilot.
Related B‑AGILE solutions
A capability may be carried by a full suite, a standalone solution or an existing system. Diagnosis decides.
Structures assets, preventive work, interventions, resources, parts and history.
Explore SuiteConnects maintenance, production, materials and industrial performance.
Explore SolutionMakes parts stock, reservation and consumption reliable.
Explore SolutionConnects purchasing, suppliers, costs and fixed assets.
ExploreGo further
Frequently asked questions
Not necessarily. Scoping distinguishes what should be retained, connected, extended or replaced based on value, risk and expected responsibility.
Yes. One flow, one site and a few critical decisions can test data, rules, interfaces and adoption before extension.
By the decision window. Each event must specify its source, frequency, acceptable age and degraded mode.
No. Benefits are measured against an agreed baseline, scope and period; no generic percentage is promised.
Through suitable architecture, role-based rights, logging, retention rules and risk-proportionate monitoring.
Named business owners, with IT and execution teams contributing; overrides remain traceable.
Your context first
Identify the decisions, data, responsibilities and pilot that will deliver observable value.