Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on AWS Marketplace.
CIOs and CTOs are under pressure to deliver secure, scalable digital products faster than ever, yet infrastructure delivery remains fragmented across teams, approvals, and manual processes. Despite years of investment in automation and DevOps, 61% of enterprises still identify environment provisioning as a major roadblock to accelerating application delivery (BusinessWire), while 25% take three months or longer to move from code-complete to production (BusinessWire). Developers spend too much time navigating tickets, approvals, and inconsistent provisioning workflows instead of building business value.
PwC's platform engineering operating model transforms infrastructure delivery from a traditional service desk model into an internal developer platform that improves the developer experience. Through a centralized self-service portal built on services such as AWS Service Catalog and integrated with AWS Service Catalog AppRegistry, developers can discover approved platform products, golden paths, and reusable architecture patterns; provide a small set of inputs; and move from idea to production faster without tickets or manual approvals.
Show the rest of the publisher’s description (2 more lines)
Our approach combines platform engineering, AI-assisted engineering, CI/CD integration, FinOps visibility, and AI-native operations into a unified delivery model that improves developer productivity while strengthening operational consistency. Pre-approved golden paths and standardized platform products reduce cognitive load, greatly reduce common bottlenecks, and give development teams a consistent path from code to production. Infrastructure teams manage these products with end-to-end ownership, SLAs, telemetry, and continuous feedback loops so the platform keeps improving with the needs of its users.
For organizations embracing AI-led managed services, the model becomes the foundation for AI-assisted engineering, agentic operations, and a more intelligent software development lifecycle. PwC helps clients move beyond legacy IT metrics like ticket volume and resolution speed toward measurable business outcomes such as faster time-to-market, increased agility, higher service reliability, and improved revenue resilience. By integrating strategy, engineering, automation, and AI-first delivery, PwC helps organizations build AI-DLC, that scales with the business and accelerates innovation.
Highlights
Highlighted by the publisher on AWS Marketplace.
Shift from requestable IT services to consumable IT products with an internal developer platform that gives teams self-service access to approved products and golden paths, reducing ticket friction and helping developers move from idea to production faster.
Accelerate engineering productivity with embedded security and compliance controls, AI-assisted engineering, and integrated CI/CD workflows that reduce cognitive load, greatly reduce rework, and create a more consistent developer experience at scale.
AI-enabled development lifecycle, or AI-DLC, through PwC's AI-led managed services model, combining platform engineering, SRE-led delivery, observability, and agentic automation to improve speed-to-market, resilience, and business outcomes.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.