Operations and Asset Management
Plan and track maintenance, failures and work orders by asset.
Solution
IT Operations and Modernization
IT operations and modernization means moving work and project tracking, service requests, incident and change records, and aging applications onto a single governed platform.
Organizations that trust Butterfly
Today
With Butterfly
TaskFlow delivers projects, sprints, boards, filters, planning and roadmaps on the platform's state machine; endpoints compatible with the common work management API make it easier to move existing integrations.
OutcomeThe organization keeps its work management infrastructure and data under its own control.The projects, fields, workflows, scripts and usage data of the current installation are read from the source and counted; structures that are defined but never used are set aside.
OutcomeDead structures are not migrated; the migration plan rests on measurement, not guesswork.Butterfly runs as an orchestration layer on top of existing bots; bot jobs are tied to workflows, permissions and the audit trail.
OutcomeThe bot inventory becomes visible; automation comes under governance. (Pilot/assessment phase)Threshold rules generate automatic assignments and alerts; AI writes a root cause and resolution suggestion on the record, and the decision to apply it is made with the approval of an authorized person.
OutcomeYou step in before the queue grows; every AI step is in the audit trail. (pilot)The application's structure and usage are mapped in three layers (declared, installed, actually used), structural documentation is generated, and the target design is built in Butterfly.
OutcomeDependence on one person ends; you are left with a current, complete description of the application.The process end to end
One flow, 6 steps.
Every step moves forward on the same record; who did what and when is visible at all times.
ButterflyIT Operations and ModernizationRecordSample record · #2048
Step 1 / 6In this step · 1 / 6
Inventory
measuring projects, issue types, fields, workflows, automation rules, scripts and usage data
In this step · 2 / 6
Target structure
converting workflows into the platform state machine and rules into data
In this step · 3 / 6
Data transfer
issues, comments, attachments, time logs, sprints and change history
In this step · 4 / 6
Validation
one-to-one comparison of critical metrics with the legacy system, plus acceptance tests
In this step · 5 / 6
Cutover
final transfer of changed records (delta) and freezing of the legacy system
In this step · 6 / 6
Closure
redirecting integrations and ending the old subscription
Building blocks
This solution is built with these parts of the platform.
Butterfly did this on itself first: all of RG Labs' work management moved to TaskFlow on the same day, and critical metrics matched the legacy system one-to-one.
From the field
Results measured in the field.
Figures from this solution’s use in the field. Customer names are not shared for confidentiality reasons.
89 projects · 32,000+ issuesRG Labs' work management moved to TaskFlow on the same dayour own use, live
27 users · 133 sprints · 34,112 time log entriesusers, sprints and time log entries moved in the same migrationour own use
8/8critical metrics verified one-to-one against the legacy system (active sprint, subtasks, open/on hold, effort breakdowns)
Frequently asked
IT Operations and Modernization in brief.
What happens to our existing integrations when we move off our work management tool?
TaskFlow offers endpoints compatible with the common work management API, so most integrations are moved by changing the endpoint address. The limits are stated up front: marketplace add-ons and three-legged OAuth flows are not supported; the endpoints actually called in your environment are measured and an endpoint-by-endpoint gap analysis is performed.
Does the team stop working on migration day?
No; data is transferred and validated in advance. On cutover day, only the most recently changed records are transferred, and then the legacy system is frozen.
Does the AI close records on its own?
No; the AI generates a resolution suggestion, and the decision to apply it is made with the approval of an authorized person. Every step of the suggestion, the approval and the action taken goes into the audit trail.
Do we need to give up our existing RPA bots?
No; Butterfly can run as an orchestration layer on top of existing bots. Moving bots to the platform’s own automation over time is a separate, optional decision.