Cloud speed vs enterprise governance is no longer a tradeoff
Gartner reports that 85% of enterprises will adopt a cloud-first strategy by 2025, yet 61% cite governance and compliance as the primary blocker for full migration. The platform that wins is the one where teams do not have to re-learn their workflow when governance requirements change.
Key Signals
Cloud First
85%
Enterprises adopting cloud-first strategy by 2025 (Gartner). Momentum is not the problem.
Gov Blocker
61%
Cite governance and compliance as the primary migration friction point.
Migration Cost
6-9 mo
Average time to migrate QA tooling between deployment models when workflow compatibility breaks.
RafiRun deployment maturity path
Trial
Cloud Trial
Team starts in managed cloud. No infrastructure setup required. Scenario generation, execution, and accessibility review available immediately.
Team
Team Rollout
Multiple teams share one workspace. Role-based access, shared scenario libraries, and consolidated reporting across projects.
Enterprise
Enterprise Governance
SSO/SAML integration, audit logging, data residency controls, and approval workflows. Same UI, same scenario model, same reports.
Hybrid
Hybrid / On-Prem
Execution nodes run inside your infrastructure. Scenario data stays in your network. Cloud management plane optional.
Product Proof
01
The most common migration failure pattern: a team adopts a cloud QA tool, builds 6 months of scenarios and reports, then discovers the tool cannot meet their enterprise security requirements. The migration to a "governance-ready" alternative costs 6-9 months and discards the scenario library.
02
RafiRun is architected so the scenario model, execution engine, and reporting layer are deployment-agnostic. Moving from cloud trial to enterprise governance adds controls (SSO, audit logs, data residency) without changing the scenario format or the team's daily workflow.
03
This matters for procurement: QA leaders can demonstrate value during a cloud trial and present the same platform for enterprise approval, without the risk of a tooling switch that resets team productivity.
Why the cloud-to-enterprise path usually breaks
Most cloud QA tools are designed for cloud-native teams. They assume public endpoints, SaaS-hosted data, and social login. When an enterprise security review asks about data residency, audit logging, or SSO enforcement, the answer is often "that is on our roadmap" or "upgrade to our enterprise tier with a different deployment model."
The upgrade is rarely seamless. Enterprise tiers often have different APIs, different reporting structures, or different scenario formats. The team that built 500 scenarios in the cloud tier discovers that migrating to the enterprise tier requires re-authoring or re-configuring a significant portion of their work.
What a deployment-agnostic architecture looks like
RafiRun separates the scenario model (what you test) from the execution environment (where it runs) and the governance layer (who controls what). These three layers can change independently.
A scenario authored during a cloud trial runs identically on an enterprise-managed execution node. The governance layer adds SSO, role restrictions, and audit trails as overlays, not as a fork of the product. The team sees the same interface, the same reports, and the same execution history.
This is not an abstraction for marketing purposes. It is a concrete architectural decision: the scenario schema, the step definition format, and the reporting data model are version-stable across deployment modes.
What this means for buying decisions
QA leaders evaluating platforms should ask three questions: (1) Can I start in cloud and move to stricter governance without re-authoring scenarios? (2) Does the enterprise tier change the team's daily workflow? (3) What is the migration timeline and data continuity guarantee?
If the answer to any of these is unsatisfying, the platform is optimized for initial adoption, not long-term operational fit. The real cost of a QA platform is not the license. It is the workflow disruption when requirements change.
Trial Workspace
Turn this into your first live scenario.
Open a trial workspace, generate a flow around your own release path, and move directly into the first execution-ready run.