Migration Strategy · Vendor Landscape
Getting your workflows
out of tools that were never
built for proof.
Most regulated organizations are running compliance workflows in Jira, ServiceNow, spreadsheets, or purpose-built GRC platforms. Migration to DXMachine is not a lift-and-shift — it is a transition from activity tracking to attestation. Here is what that looks like across the leading vendors in each category.
Before we go further: Migration feasibility depends heavily on which version of a vendor's platform you are running, what data you have exported rights to, and whether your workflows are standardized or heavily customized. The assessments below are honest estimates based on documented API availability and data portability. Jira and AuditBoard are the highest-confidence starting points. SAP and Oracle are parallel-run scenarios, not migrations. We will tell you which is which.
Three Migration Models
Not all migrations are
the same problem.
Before naming vendors, the migration model matters. DXMachine supports three approaches — the right one depends on the source system, your data ownership rights, and how much workflow state you actually need to carry forward.
01
API Extraction + Field Mapping
Pull live data via vendor REST API. Map source fields to DXMachine's EAV model. Best for systems with documented, stable APIs. Jira, AuditBoard, LogicGate. Carries live workflow state forward.
02
Export + Import
Vendor exports to CSV, XML, or JSON. Transform and load into DXMachine. Works when API access is limited or cost-prohibitive. Most GRC platforms support this. Historical records preserved, live state is a clean start.
03
Parallel Run + Cutover
Run DXMachine alongside the source system for a defined period. In-flight items complete in the old system. New items start in DXMachine. The only honest option for SAP, Oracle, and heavily customized ServiceNow. Not a migration — a controlled transition.
Vendor Assessment
Leading vendors across
seven workflow categories.
Assessed against three criteria: API maturity, data portability, and workflow complexity. Feasibility ratings are honest, not optimistic.
High feasibility · API extraction
Moderate · Export or partial API
Complex · Parallel run recommended
Atlassian's REST API is well-documented, stable, and widely used. Issue types, fields, workflows, and attachments are all accessible. This is the highest-confidence migration target on the list.
APIREST v2/v3 — full CRUD, paginated issue export, field metadata
ModelIssues → DXMachine cards. Custom fields → EAV attributes. Workflows → column states
ApproachAPI extraction + field mapping. Automation scripts extractable as workflow templates
Jira's flexibility is also its liability — heavily customized instances with dozens of custom fields require a mapping exercise before extraction. Jira Software vs Jira Service Management have different schema conventions.
ServiceNow has a capable REST API but the platform is frequently customized to the point where the data model is client-specific. GRC module migrations are feasible; highly customized ITSM deployments are parallel-run candidates.
APITable API — reads any table, but schema varies by instance configuration
ModelTasks/Incidents → cards. GRC Controls → compliance workflow cards
ApproachAPI extraction for standard modules. Parallel run for heavily customized instances
ServiceNow's per-API-call licensing model can make extraction expensive at scale. Verify your contract before running bulk extraction scripts.
AuditBoard is the second-highest confidence target. Its data model maps cleanly to DXMachine's compliance card architecture — controls, findings, and audit programs translate directly. The REST API is documented and accessible on Enterprise plans.
APIREST API — controls, findings, workflows, attachments
ModelControls → compliance cards. Findings → card findings EAV. Audit programs → board configurations
ApproachAPI extraction + field mapping. Historical audit records preserved as card history
API access tier varies by contract. Confirm API availability with your AuditBoard rep before scoping a migration. SOC 2 evidence attachments require separate export handling.
Archer has a web services API but it is older, XML-based, and the data model is highly configurable. Organizations running standard Archer frameworks (FFIEC, NIST) are extractable. Heavily customized Archer instances are a different problem.
APISOAP/REST hybrid — functional but not modern. XML-heavy responses
ModelApplications → workflow boards. Records → cards. Fields → EAV attributes
ApproachExport + import for standard frameworks. API extraction viable but requires wrapper code
Archer's licensing model may restrict data export rights in some contracts. Review your agreement. Archer migrations are typically export-based rather than live API extraction.
MetricStream has REST APIs on its M7 platform. The data model is sophisticated and maps reasonably well to DXMachine's architecture. Feasibility depends heavily on which version and modules you are running.
APIREST on M7 — older versions are SOAP or export-only
ModelIssues/Findings → cards. Control frameworks → board taxonomy
ApproachAPI extraction on M7. Export + import on legacy versions
MetricStream's M7 migration from older versions is itself a known pain point for customers. If you are still on a pre-M7 deployment, migration to DXMachine and MetricStream M7 are equally large projects — worth evaluating together.
LogicGate is a modern GRC platform with a clean REST API and a workflow-centric data model that translates well to DXMachine. Smaller install base means less customization variance — what you see in the API is generally what you get.
APIREST API — workflows, records, fields, attachments
ModelApps → boards. Records → cards. Workflow steps → column states
ApproachAPI extraction + field mapping. Clean migration candidate
LogicGate's relatively small market footprint means less community tooling for export/migration. Scripts will likely need to be built from scratch against their API docs.
SAP is not a migration target in the conventional sense. Compliance workflows embedded in SAP are tightly coupled to business process transactions. The honest approach is to run DXMachine alongside SAP for the compliance layer while leaving core ERP processes untouched.
APIOData/BAPI — functional but complex. RFC calls for deep data access
ModelCompliance workflows only — not core transactional data
ApproachParallel run. Extract compliance-layer records (audit logs, control findings) via OData. Leave ERP transactions in SAP
Anyone telling you they can migrate you off SAP compliance workflows cleanly and quickly is not being honest with you. The coupling is deep. Parallel run is the only responsible recommendation.
Same category as SAP. Oracle Fusion GRC has REST APIs but the compliance workflows are embedded in a deeply integrated ERP environment. Extract the compliance layer, run DXMachine in parallel for new workflows, and transition over time.
APIOracle REST Data Services — available but requires configuration
ModelCompliance controls and audit findings only
ApproachParallel run. Export historical audit records for reference. New compliance workflows start in DXMachine
Oracle's data export rights are contract-dependent and sometimes restrictive. Legal review of your Oracle agreement before extraction is not optional.
Workday's compliance and audit workflows are less deeply embedded than SAP/Oracle, making the compliance layer more extractable. REST API available. The target use case is HR compliance and SOX-adjacent workflows rather than core financials.
APIWorkday REST and SOAP APIs — well-documented for tenant data
ModelAudit/compliance tasks → cards. Policy acknowledgments → compliance records
ApproachAPI extraction for compliance layer. HR transactional data stays in Workday
Workday is more amenable to compliance-layer separation than SAP or Oracle. The integration surface area is smaller and the API is cleaner. Realistic migration candidate for SOX and HR compliance workflows.
The most common compliance workflow platform in regulated mid-market organizations is a shared spreadsheet with a version history problem and no audit trail. This is also the simplest migration — and the one with the most defensible ROI argument.
APICSV export / Google Sheets API / Excel file parsing
ModelRows → cards. Column headers → EAV field definitions. Tabs → boards or value streams
ApproachImport utility. Map column schema to DXMachine field types. Historical rows load as card history
The migration is technically simple. The organizational change is not. Teams that have been running compliance in spreadsheets for years have informal processes embedded in those files that are not visible in the data. Expect a discovery phase.
Migration Matrix
Approach by vendor
at a glance.
| Vendor |
Approach |
Timeline Estimate |
Primary Risk |
| Jira / JSM |
API extraction |
Days to weeks |
Custom field mapping complexity |
| AuditBoard |
API extraction |
Days to weeks |
API tier availability in contract |
| LogicGate |
API extraction |
Days to weeks |
Limited community tooling — build from scratch |
| ServiceNow |
API or parallel run |
Weeks to months |
Customization variance — schema is instance-specific |
| MetricStream |
API (M7) or export |
Weeks to months |
Version dependency — pre-M7 is export-only |
| RSA Archer |
Export + import |
Weeks to months |
Contract may restrict export rights |
| Workday |
API extraction (compliance layer) |
Weeks |
Scope creep — keep it to the compliance layer |
| SAP GRC |
Parallel run |
Months to quarters |
ERP coupling — do not attempt lift-and-shift |
| Oracle GRC |
Parallel run |
Months to quarters |
Data export rights — legal review required |
| Excel / Sheets |
Import utility |
Days |
Informal processes embedded in spreadsheet logic |
The Honest Part
What we will not
promise you.
Migration tooling for DXMachine is in active development. The architecture is designed to receive it. The scripts are not all written yet.
The Jira extractor is the first concrete target — it is the highest-confidence migration with the broadest applicability across our target segments. AuditBoard is second. Both have well-documented APIs and data models that map cleanly to DXMachine's card and EAV architecture.
For SAP and Oracle, we will not pretend otherwise. Those are parallel-run scenarios. Any vendor telling you they can cleanly migrate your SAP compliance workflows in weeks is either not familiar with SAP or not being honest with you. We would rather lose a deal than set that expectation.
If you are running compliance in spreadsheets — which more regulated mid-market organizations are than will admit it in an RFP — that is the fastest migration on the list and the clearest ROI story. The technical lift is trivial. The organizational change management is real and we will help you think through it.
"The question is never just 'can we get your data out.' It is 'what does your compliance operation look like on the other side.' That is the conversation we want to have first."