Project Management

Migrate your AGILITY data

Enterprise ALM platform for complex software teams, covering requirements through test management with deep API export capabilities but significant licensing and schema complexity.

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In its favor

Why people choose AGILITY

The signal that keeps AGILITY on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Three packaging options (Essentials, Catalyst, Ultimate-equivalent tiers) priced on user count let enterprises right-size by scope rather than buying a single SKU.

Agility Essentials covers team and portfolio level Agile planning, scaled-Agile frameworks (SAFe), forums/communities, IdeaSpace, and operational dashboards in one bundle — useful for SAFe rollouts.

Originated as VersionOne, one of the longest-running enterprise Agile planning tools, with deep history of supporting scaled portfolio and program planning at Fortune 500 scale.

Stable OID-based asset model lets reporting and integration tools cross-reference Stories, Defects, Tasks, Test Sets, and Iterations reliably across projects.

Data Mart + REST API combination gives BI teams a sanctioned reporting layer separate from the transactional API surface.

Public pricing is not disclosed by digital.ai, requiring sales-led engagement even for small evaluations — competitors like Jira and Azure DevOps publish per-seat rates.

UI is widely perceived as dated relative to Jira, Linear, and Azure DevOps, particularly for individual contributors who interact with work items daily.

Edition gating means API and Data Mart access are restricted to higher tiers, blocking smaller orgs from automation and reporting.

Custom-field System-Name vs. display-label divergence creates silent data mismatches that bite teams during reporting and integration builds.

Smaller and less active community than Atlassian's ecosystem, so add-ons, third-party integrations, and shared expertise are harder to source.

Reasons to switch

Why people leave AGILITY

The recurring reasons buyers give for replacing AGILITY. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where AGILITY fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

JSON-based export/import mapping files allow declarative, auditable migration configurations that can be version-controlledCustom fields are available on a wide range of asset types and exposed through both the REST API and Data Mart reporting layerMulti-edition architecture means Teams, Sprints, and Iterations are first-class citizens with stable OIDs and relationship fieldsRate limiting is documented as a system-wide protection, reducing the risk of accidental API-induced outages during migrationExport and import operations can be run incrementally, supporting phased cutover rather than a single big-bang switchover

Weaknesses

Specific API rate limit values are not publicly documented, requiring empirical testing to calibrate migration throughputCustom field Data Mart column names derive from System Names, not display labels — silent mismatches occur if this naming layer is not handled explicitlyEdition gating on API access means Starter and Pro tier orgs have limited or no programmatic data extraction capabilityNo public deprecation timeline or changelog for the API means schema changes between Agility versions are not proactively communicatedAttachments and binary assets are managed through a separate OID registry from the JSON mapping data, adding a second migration pass

Where it works

Large enterprise software teams spanning multiple departments that require full application lifecycle management from requirements through test management with stable OIDs for cross-project relationship tracking.Organizations that have dedicated technical resources capable of managing the layered object hierarchy (Stories, Defects, Tasks, Test Sets, Iterations) and understanding the System-Name-to-Data-Mart column naming translation.Teams with Enterprise-tier licensing who need unrestricted programmatic access to all asset types for custom integrations, reporting pipelines, and automated workflow operations.Programs requiring incremental migration cutover rather than a single big-bang switchover, leveraging the JSON-based declarative mapping files that can be version-controlled and re-run.Cross-functional organizations that need to report across Stories, Defects, and Test Sets using custom fields, leveraging the Data Mart Dimension and Fact table structure.

Where it struggles

Small to mid-sized organizations on Starter or Pro tier plans where API access is gated, leaving programmatic data extraction limited or unavailable for migration or integration purposes.Teams that lack dedicated technical resources to manage the layered object schema, understand System-Name-based Data Mart column naming, and handle the two-pass attachment migration approach.Organizations with strict data residency requirements or those operating in heavily regulated industries where the undocumented API rate limits and lack of public deprecation timelines introduce unacceptable migration risk.Fast-moving startups or teams that need rapid tool onboarding without significant configuration overhead, given the platform's enterprise licensing cost and schema complexity.Environments where source and target systems change frequently, since the API lacks a public changelog and schema changes between versions are not proactively communicated.

Pricing tiers

AGILITY pricing overview

digital.ai Agility is sold as an annual subscription with three named tiers. Starter covers small teams with limited API access; Pro adds full API and Data Mart reporting; Enterprise unlocks ALM Connect sync, advanced workflow configuration, and unlimited API throughput. Pricing is negotiated per-org and not listed on a public pricing page — we obtain tier details from the customer during scoping.

Agility Essentials

Tier 1 of 3

Custom (sales-led, user-count based)

What's included

Team Level Agile PlanningPortfolio Level Agile PlanningScaled Agile Frameworks (including SAFe)Forums / CommunitiesIdeaSpaceOperational Dashboards

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Pricing is informational. FlitStack AI does not bill on AGILITY's schedule — see our quote-based pricing →

What gets migrated

AGILITY object support

Object-by-object support for AGILITY migrations. Per-pair details surface during scoping.

Projects

Fully supported

Projects are the top-level container in digital.ai Agility. The API exposes them as standalone assets with a stable OID. We migrate them 1:1 and map their Owner and Team assignments to the destination's equivalent construct.

Sprints/Iterations

Fully supported

Iterations have start/end dates, cadence settings, and status (Active/Closed/Planning). We preserve the iteration calendar and map velocity metrics where the destination supports them.

Stories

Fully supported

Stories are primary work items with points, status, and a rich set of custom fields. Custom field Data Mart columns use the System Name as the column identifier — we capture both the display name and system name to avoid silent field mismatches at import.

Defects

Fully supported

Defects share the primary work item schema with Stories but include severity, detected-in-iteration, and resolution fields. We handle the Defect-to-Story relationship mapping based on the destination's issue model.

Tasks

Fully supported

Tasks are child work items belonging to Stories or Defects. They have assignees, estimated hours, and status. We preserve parent-child linkages and reconstruct the task breakdown in the target system.

Test Sets

Mapping required

Test Sets aggregate Test cases and generate Fact.PrimaryWorkitem records in the Data Mart. The schema varies between Agility editions and the destination test management tool — we map Test Set membership and test step detail individually.

Test Cases

Mapping required

Test Cases carry steps, expected results, and custom fields. They exist in the Fact.Test Data Mart. We export the full step structure and map to the destination's test case object, flagging any unsupported step formats.

Issues

Fully supported

Issues are tracked in Fact.Issue and behave like standalone defects. They have a distinct schema from primary work items. We migrate them as first-class objects with their own status and priority fields.

Custom Fields

Mapping required

Custom fields exist on most asset types and support checkbox, date, text, number, and drop-down types. The Data Mart column name is derived from the System Name, not the user-facing label. We extract both and generate a dual-column mapping table so destination fields are matched by display name while internal references use system names.

Attachments

Mapping required

Attachments are stored as binary assets with a separate OID registry. We export them independently from the JSON mapping file and re-associate them post-import using the source OID-to-destination ID cross-reference table. Large attachments may require chunked transfer.

Members/Users

Mapping required

User records include display name, email, role, and team membership. Active Directory integration in Agility can source users externally — we detect whether the destination will use local or directory-based user provisioning and map assignments accordingly.

Comments

Fully supported

Comments are attached to work items and carry author, timestamp, and body. We migrate comments as a child collection of the parent work item and preserve the author attribution.

Environments

Mapping required

Environments are referenced by Test Sets and Defects. They are simple name/description records that may not exist in all destination systems — we flag and optionally skip or stub them.

Requests

Mapping required

Requests are tracked in Fact.Request and represent incoming work or stakeholder asks. They have their own custom field set distinct from primary work items.

Gotchas

What to watch for in AGILITY migrations

Issues we've hit on past AGILITY migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

Edition-gated API access blocks migration extraction

High

Custom field System Name vs. display label mismatch

Medium

Rate limits are undocumented for direct consumption

Medium

Test Set and Test Case schemas vary by Agility edition

Medium

Attachment OID registry requires a separate migration pass

How a AGILITY migration works

Four steps, AGILITY-specific

Connect

OAuth 2.0 and API key (edition-dependent) into AGILITY. Scopes limited to read-only on the data we move.

Map

We translate AGILITY-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate AGILITY quirks before production.

Migrate

Full migration with AGILITY rate-limit handling. Rollback available throughout.

FAQ

AGILITY migration FAQ

Answers to the questions buyers ask most during AGILITY migration scoping. Not seeing yours? Book a call.

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Most AGILITY migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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