Discover the estate
Inventory bots, schedules, credentials, applications and business dependencies.
Migration & Modernization
Automation Migration Accelerator
Move legacy RPA workflows to Automation 360 through a measured migration and modernisation programme. Xalta combines estate discovery, dependency assessment, conversion tooling and human review with evaluation-led cutover. Reuse what remains reliable, address fragile application steps and introduce agentic capabilities only where the workflow and evidence support them.
Convert with review
Translate supported patterns and resolve platform-specific behaviour with engineers.
Evaluate the change
Compare agreed business outcomes through regression tests and controlled shadow runs.
Cut over with control
Stage the release, define recovery and hand the estate to its operating owners.
Operational challenges
Challenges
A bot estate carries years of application assumptions, local fixes and undocumented operating knowledge. A platform move can expose those dependencies at the same time that teams are expected to preserve business continuity and reduce maintenance effort.
The inventory is incomplete
Code packages alone do not show every schedule, shared credential, queue, library, file path and application dependency. Without a reliable estate view, migration estimates miss work that becomes visible late in testing or cutover.
Operational impact: uncertain scope and late dependency surprises.
Behaviour does not translate directly
Activities, selectors, exception handling and orchestration differ between platforms. A translated workflow may still behave differently around timeouts, retries, data types or application state.
Operational impact: manual rework and hidden functional differences.
Fragile steps survive the move
Moving existing selectors and unstructured-input handling without examining them can retain the same maintenance burden. Modernisation needs a reasoned choice between deterministic fixes, integration changes and evaluated agentic assistance.
Operational impact: continued failure patterns after migration.
Cutover lacks evidence
A successful development run does not establish performance across the production workload. Teams need agreed test coverage, controlled comparison, reconciled outcomes and a defined recovery path before retiring the old execution route.
Operational impact: business disruption and difficult release decisions.
Migration & Modernization
How It Works
Treat the move as a change to business behaviour and operations, not only a code conversion. The initial plan defines the source estate, Automation 360 destination, comparison scenarios and cutover acceptance.
Discover & assess
Inventory source packages, schedules, queues, credentials, application access and shared dependencies. Classify the workflows by business criticality, conversion complexity and modernisation needs, then agree the initial migration wave and baseline.
Convert & modernise
Use supported translation patterns and engineering review to rebuild the agreed behaviour for Automation 360. Resolve platform-specific logic and application dependencies. Introduce approved document intelligence or bounded agentic recovery only where it improves the selected workflow and can be evaluated.
Evaluate & shadow
Exercise the agreed regression and exception scenarios, comparing outputs and system state with the baseline. Use controlled shadow runs or replay where suitable, isolating duplicate business actions and reconciling differences before release.
Cut over & operate
Release approved waves into the target Control Room and runtime. Monitor results and queues, apply the agreed recovery plan when needed and hand over schedules, access, runbooks and ownership before retiring the superseded route.
Solution capabilities
Solutions
The accelerator approach joins discovery and conversion with the controls needed to establish behavioural equivalence. Modernisation, evaluation and operating readiness remain explicit workstreams rather than assumptions about the conversion output.
Source inventory and dependency analysis
Estate discovery and dependencies
Map bots, reusable components, applications, credentials, queues, schedules and external files. Identify business owners and downstream effects so the migration plan reflects the operating process as well as the code inventory.
Operational example
Identify a shared credential or workbook used by several bots before scheduling their migration wave.
Migration framework and engineering review
Review-led code conversion
Apply supported translation tooling and mapping patterns, then review target activities, data handling, retries and exception semantics. Assess unsupported packages and platform-specific behaviour as explicit remediation work.
Operational example
Rebuild a platform-specific exception path and compare its business outcome with the source workflow.
Integration assessment and targeted remediation
Application and selector remediation
Inspect fragile UI dependencies, session assumptions and obsolete integrations. Choose an approved API, selector repair or redesigned application step based on the available interfaces and the business outcome required.
Operational example
Replace a brittle screen sequence with an available authorised interface where the design supports it.
Selected AI services and governed actions
Selective agentic upgrades
Consider document intelligence, interpretation or bounded recovery for the parts of the workflow that need them. Define permitted actions, confidence thresholds and escalation, and evaluate the upgraded behaviour separately from the baseline conversion.
Operational example
Introduce reviewed extraction for an unstructured input while retaining deterministic posting and approval controls.
Evaluation harness and comparison evidence
Regression and shadow-run evaluation
Define scenario coverage for normal work, exceptions, recovery and shared dependencies. Compare records and side effects rather than only completion status. Use shadow or replay approaches that control duplicate execution and provide evidence for cutover decisions.
Operational example
Reconcile source and target outputs for the agreed workload before approving a migration wave.
A360 operations, monitoring and handover
Cutover and operating readiness
Plan release waves, rollback or recovery, runtime configuration and ownership. Establish target monitoring and incident handling, with runbooks and regression checks for subsequent changes. Any self-healing behaviour is bounded, approved and evaluated.
Operational example
Confirm queue ownership, schedules and recovery instructions before retiring the source execution route.
Platforms, tech stack and architecture
Integrations & Architecture
This page focuses on an Automation 360 destination. The wider supplied migration portfolio includes other platform directions, which are assessed separately. The architecture combines source-estate assessment, conversion and evaluation tooling, the target Control Room and runtime, and an operating layer. A documented monitoring case uses Python, A360 APIs, CircleCI scheduling, Slack and Google Sheets.
Platforms and technical architecture
The layers below identify the technology, its role and the configuration decisions for the agreed deployment.
| Workstream | Platform / technology | Architectural role | Client configuration |
|---|---|---|---|
| Source estate | Legacy RPA packages and their actual runtime; UiPath, Blue Prism or older Automation Anywhere estates are assessed for the requested move. | Inventory source behaviour, shared components and operational dependencies. | Export access, source versions, packages, business owners and supported conversion scope. |
| Target platform | Automation Anywhere Automation 360, Control Room and the selected execution environment. | Host approved target workflows, schedules, queues and runtime operations. | Licensing, target configuration, credentials, environments and operating access. |
| Conversion layer | Migration assessment and conversion tooling with engineering-led translation and remediation. | Map supported patterns and resolve platform-specific behaviour. | Unsupported activities, shared libraries, selectors and application changes. |
| Evaluation and cutover | Regression fixtures, output comparison, controlled shadow or replay runs and cutover reporting. | Establish acceptance evidence and release readiness for each wave. | Coverage boundaries, safe test data, business side effects, recovery and sign-off. |
| Agentic modernisation | Selected document or model services from Xalta’s AI ecosystem where included in scope. | Improve specific unstructured-input or recovery tasks with bounded actions and review. | Provider, data access, tool limits, evaluation and escalation requirements. |
| Monitoring reference | Documented related stack: Python, A360 Control Room APIs, CircleCI cron scheduling, Slack and Google Sheets configuration. | Inspect run logs, identify operational failures and alert the support team. | Client monitoring toolchain, schedules, conditions, permitted recovery and support ownership. |
Estate access
Provide source assets, runtime configuration, shared dependencies, application access and operating-owner input.
Expected behaviour
Supply representative transactions, exception cases, business outputs and performance or scheduling constraints.
Cutover ownership
Agree migration waves, evaluation coverage, target access, recovery decisions and production sign-off.
Applied workflows and success measures
Use Cases
The measures below are proposed programme targets or scope definitions. Establish the baseline, eligible workload and acceptance criteria during discovery. The related A360 operating example provides evidence for the monitoring layer.
Programme target
3×Migration-speed target
Proposed acceleration against a defined comparable migration baseline. Validate complexity, included remediation and the start-to-finish boundary.
Programme target
100%Agreed-scenario coverage target
Proposed evaluation coverage for the accepted scenario inventory, including normal work, exceptions and recovery; agree the coverage denominator.
Programme target
ZeroCutover-regression objective
A release objective for the agreed acceptance scope, supported by comparison evidence, monitoring and a recovery plan.
Related documented implementation · A360 operations
Financial services automation operations
A documented A360 monitoring workflow supports the operating layer.
Operating context
A financial services team needed better visibility into attended and unattended bot failures, deployment issues and workflows stuck in running or queue states.
Implementation
The documented monitoring solution used Python to inspect A360 Control Room logs through APIs, with scheduled execution in CircleCI. It evaluated configured failure conditions, sent Slack alerts and maintained configuration in Google Sheets, including permitted redeployment handling.
Documented operating outcomes
- Reduced dependence on manual bot-health checks through scheduled monitoring.
- Made failure conditions visible through support notifications.
- Provided a configurable operating pattern relevant to target-estate support and recovery.
Delivery and operations
Implementation & Support
Start with a defined workstream and an agreed baseline. Configure the selected platform and integrations, validate representative and exception scenarios, then release in controlled stages with named operating owners.
Assess the estate
Build the inventory, dependency map and migration waves. Agree target constraints, baseline behaviour and the evaluation scope.
- Xalta delivers
- Estate assessment, conversion approach and release plan.
- Your team provides
- Source assets, operating knowledge, access and business priorities.
Acceptance checkpoint
The agreed evidence, ownership and readiness criteria for this stage are accepted.
Convert & review
Translate supported patterns, remediate differences and review any selected modernisation with engineers and process owners.
- Xalta delivers
- Reviewed target workflows and a change record.
- Your team provides
- Application access, business-rule decisions and exception expectations.
Acceptance checkpoint
The agreed evidence, ownership and readiness criteria for this stage are accepted.
Evaluate & cut over
Run the agreed scenarios and controlled comparisons, reconcile differences and release approved waves with recovery readiness.
- Xalta delivers
- Evaluation evidence, cutover controls and handover materials.
- Your team provides
- Business acceptance and production release authorisation.
Acceptance checkpoint
The agreed evidence, ownership and readiness criteria for this stage are accepted.
Observe & improve
Monitor target execution and recurring incidents, then evaluate changes and further modernisation against the agreed evidence.
- Xalta delivers
- Scoped monitoring, incident handling and regression support.
- Your team provides
- Operational ownership and approval of platform or process changes.
Acceptance checkpoint
The agreed evidence, ownership and readiness criteria for this stage are accepted.
Related work and solution references
Case Studies
Explore the solution reference and related documented delivery examples. The reference card describes the solution approach; client results are attributed to the specific adjacent examples.
Solution reference · Migration & Modernization
Legacy automation migration
Controlled cutover
Solution reference; evaluate the agreed deployment scope
A solution reference for estate assessment, review-led conversion, behavioural comparison and staged release. Migration speed and regression objectives are evaluated against the agreed source estate and acceptance scope.
Explore the reference
Oil & gas · Accounts payable
Vendor invoice processing
70% less manual effort
Reported for the documented client workflow
Automation Anywhere A360 and Document Automation connected invoice extraction, vendor-specific Excel rules, DocVue and OGSQL/OGSYS. Validation, approval and fallback handling remained part of the processing flow.
Read case study
Financial services · Document operations
UCC filing and attorney invoices
Connected to the ERP
Republic Finance implementation
Reusable extraction and form-generation components supported state-specific filing. The related attorney invoice workflow applied business and accounting rules, with non-conforming transactions sent for human review.
Read case studyPlanning your deployment
FAQs
Questions about platform choices, operating scope, integration and acceptance.
Which migration direction does this page cover?
The reference scope on this page is migration of an assessed legacy RPA estate to Automation Anywhere Automation 360. Xalta’s wider supplied portfolio also lists AA to UiPath, Blue Prism to UiPath and UiPath to Power Automate. Those directions require their own assessment and are not the same conversion path.
Can every bot be translated automatically?
Supported patterns can use translation tooling, while platform-specific activities, unsupported packages, application changes and business exceptions require review or remediation. The assessment identifies reusable components and engineering work before the migration wave and acceptance scope are agreed.
What technology supports the target estate?
The target design includes Automation 360 and Control Room with the selected execution environment. The evaluation and cutover tooling is defined for the estate. A related documented monitoring implementation uses Python, A360 APIs, CircleCI cron scheduling, Slack alerts and Google Sheets configuration; these components can inform the agreed operating design.
How are shadow runs controlled?
The design identifies which comparisons can run against replayed or isolated data and which interactions create business side effects. Shadow or parallel execution uses the agreed controls to avoid duplicate postings, messages or updates. Release decisions rely on reconciled outputs and application state as well as run completion.
What does 100% evaluation coverage mean?
It refers to the agreed inventory of scenarios and acceptance requirements, including normal cases, exceptions, recovery and dependencies. The denominator is established during assessment. Coverage and passing results are reported separately so an executed scenario is not automatically treated as an accepted behaviour.
Are 3× speed and zero regressions guaranteed?
They are proposed programme targets or release objectives from the supplied brief. The pilot and assessment define the comparison baseline, migration scope and acceptance criteria. Differences in estate complexity, unsupported components and application changes affect delivery and are reflected in the agreed plan.
What agentic upgrades or self-healing are included?
Potential upgrades include document interpretation or bounded recovery where they address an identified weakness. The team defines allowed actions, confidence policies, review and evaluation before deployment. Selector changes or recovery actions follow the agreed permissions and change controls rather than being assumed for every migrated bot.
What happens after cutover?
The handover covers target schedules, queues, credentials, monitoring, runbooks, incident ownership and recovery. Source retirement follows the approved release plan. Ongoing changes and enhancements are evaluated against the agreed regression scope and support arrangements.
Discuss your requirements
Contact Us
Bring your source platforms, bot inventory and the application dependencies causing the most maintenance work. We will assess the Automation 360 destination, conversion scope, evaluation requirements and a practical first migration wave.