EY Jumpstart is an AI-powered, platform-agnostic consulting delivery platform that embeds agentic AI across the full SDLC, from pre-sales and discovery through build, test, deployment, and ongoing support.
Jumpstart ingests AI into every task, artefact, and decision point so teams can move faster with stronger consistency across the lifecycle.
Enterprise-grade AI orchestration, deep domain intelligence, reusable EY knowledge assets, and agent-based automation combine in one connected delivery model.
Jumpstart redefines how consultants deliver digital transformation programs by embedding AI deeply into every task, deliverable, and decision point rather than treating AI as a standalone productivity layer. Jumpstart combines enterprise-grade AI orchestration, deep domain and platform intelligence, reusable EY knowledge assets, and agent-based automation to deliver faster, higher-quality, and more predictable outcomes.
From analysis and design through documentation, build, test, demo, update, go-live, and run, Jumpstart keeps AI embedded in every step so delivery teams can generate artefacts faster, keep context grounded, and move through the lifecycle with stronger continuity.
Jumpstart stays active across analysis, design, documentation, build, test, demo, release readiness, and run operations.
Clarify scope, requirements, and delivery decisions.
Shape target processes, architecture, and solution direction.
Generate blueprints, specs, and structured artefacts.
Accelerate code, config, and implementation guidance.
Prepare scenarios, outcomes, and validation coverage.
Package stakeholder-ready walkthrough outputs.
Confirm fixes and regression readiness.
Support cutover, release controls, and readiness.
Carry context into support and optimization.
Jumpstart connects delivery challenges, embedded AI execution, reusable knowledge assets, and specialized agents into one guided flow so teams can move from manual effort to governed, repeatable transformation delivery.
These layers show how Jumpstart comes together in practice: broad enterprise platform coverage, a workspace built for delivery teams, context-grounded orchestration, and governance designed for controlled execution.
Jumpstart supports SAP assessment, Oracle Cloud design automation, cross-platform integration work, low-code extensions, analytics generation, migration cycles, and ongoing support workflows.
Prompt-based and conversational UI, inline AI recommendations, side-by-side diffs, and low-code or AI-assisted configuration support how teams already work.
EY artefacts, product documentation, domain rules, and client-specific context feed a private orchestrator that manages tasks, dependencies, and approvals.
Secure AI execution, role-based access, audit trails, and reviewable outputs help AI fit regulated delivery environments without bypassing controls.
Each solution combines platform-specific intelligence, reusable EY knowledge assets, and specialized agents to accelerate delivery across SAP, Oracle, and Salesforce ecosystems.
Jumpstart transforms the traditional SDLC into an AI-orchestrated delivery pipeline across discover, design, build, test, deploy, and run while expanding the consultant skill library over time.
From requirement extraction and design artefacts through testing, deployment readiness, and support workflows, Jumpstart keeps delivery connected across phases.
Documentation, testing, migration, governance, cutover, and support capabilities become reusable building blocks rather than one-off prompt interactions.
Templates, patterns, agent traces, and project-specific learning help teams reduce setup time, scale useful behavior faster, and preserve knowledge across future transformations.
The roadmap extends the core Jumpstart model into what comes next: stronger specialization, deeper project intelligence, broader platform coverage, and more proactive delivery operations.
Extend Jumpstart beyond implementation into steady-state run operations with proactive issue handling and post-go-live intelligence.
Move more delivery work from manual setup into structured AI-assisted execution and planning workflows.
Strengthen how Jumpstart reasons across large bodies of enterprise information and retains reusable project memory.
Expand Jumpstart's build and engineering usefulness across more enterprise stacks and integration-heavy programs.
Help delivery teams learn faster, onboard better, and operate more consistently across large programs.
Bring more pre-sales, steering, and governance workflows into the same connected delivery model.
By embedding AI into every SDLC phase, every consultant role, every artefact, and every decision, Jumpstart enables EY teams to deliver faster, better, at scale, and consistently.