IBM Launches Enterprise Advantage to Help Teams Scale Agentic AI with Confidence
IBM announced Enterprise Advantage, an AI-driven consulting service that helps organizations build, govern, and operate an internal AI platform at scale-without changing their current cloud providers, models, or core infrastructure. It's built to work across Amazon Web Services, Google Cloud, Microsoft Azure, IBM watsonx, and both open- and closed-source models. The goal: turn AI from scattered pilots into production systems that deliver measurable outcomes.
The service pairs IBM consultants with the technology behind IBM Consulting Advantage, IBM's internal delivery platform that has supported more than 150 client engagements and increased consultant productivity by up to 50%. Enterprise Advantage gives clients the same approach, assets, and standards to move faster with less risk.
What Enterprise Advantage Is
- A secured platform blueprint with governance, policies, and auditability baked in.
- Shared standards and reusable AI assets (agents, apps, patterns) to speed up delivery.
- Integration guidance to connect AI to existing data, apps, and workflows.
- Multi-cloud and multi-model flexibility-keep your stack, add new agents, and scale.
Why This Matters (By Role)
- Executives and general leaders: Move from experiments to outcomes. Standardize AI across business units, control risk, and track ROI.
- IT and development teams: Ship agentic applications that call tools, hit APIs, and run safely with enterprise policies. Keep current clouds and add new models without replatforming.
- Product leaders: Turn high-value use cases into shippable features. Reuse agent templates, plug into existing systems, and iterate quickly with guardrails.
How It Works in Practice
Pearson is using Enterprise Advantage to build a custom platform that blends human expertise with agentic assistants to manage routine work and decisions. A global manufacturer applied the service to define its generative AI strategy-identify high-value use cases, test focused prototypes, align leadership on a platform-first approach, and deploy assistants across multiple technologies in a secured, governed environment.
What You Can Expect
- Faster time to value: Reusable agents and playbooks cut build time and reduce duplicate effort.
- Governance from day one: Policies, approvals, data controls, and observability built into the platform.
- Operational scale: Roll out agents across business units with shared standards and support.
- Choice and flexibility: Use your existing clouds and models, add new ones as needs evolve.
Quote
"Many organizations are investing in AI, but achieving real value at scale remains a major challenge," said Mohamad Ali, Senior Vice President and Head of IBM Consulting. "We have solved many of these challenges inside IBM by using AI to transform our own operations and deliver measurable results, giving us a proven playbook to help clients succeed."
A Short Plan to Get Started
- Map 5-10 high-value use cases: Clear owners, data access, and KPIs. Prioritize what's closest to revenue, cost, or customer experience.
- Stand up a governed platform slice: Identity, data permissions, model registry, prompt and agent libraries, logging, and review workflows.
- Prototype agents with real systems: Connect to your CRM, ERP, analytics, and knowledge bases. Test with a narrow scope and real users.
- Measure and iterate: Track quality, latency, cost per task, and human-in-the-loop feedback. Ship weekly improvements.
- Scale with standards: Publish reference patterns, security policies, and deployment checklists so teams can reuse and move fast.
Governance and Risk
Enterprise Advantage places policy, security, and oversight at the center-critical for enterprise rollout. If you're formalizing guardrails, the NIST AI Risk Management Framework is a useful reference for roles, controls, and lifecycle checkpoints.
Where This Fits
If your AI work is stuck in pilots, fragmented across tools, or blocked by compliance, this service provides a clear path to production. If you're already shipping, the asset library and shared standards help you scale across business units without reinventing the wheel.
Skills and Team Enablement
Platform success hinges on people and process as much as tooling. For upskilling by role, see the curated programs at Complete AI Training: Courses by Job to align developers, product managers, and analysts on practical AI skills.
Availability
Enterprise Advantage is available now. For teams serious about scaling agentic applications with guardrails and measurable outcomes, this is a direct path to build once-and reuse everywhere.
About IBM
IBM provides global hybrid cloud, AI, and consulting expertise. The company supports clients in more than 175 countries to extract value from data, streamline processes, reduce costs, and sharpen competitive advantage.
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