AI is everywhere, and whilst everyone seems to be talking about it, its potential actually isn't being fully realised.
Your customers have most likely spoken to you about AI. Their boards are asking about it, their teams are experimenting with it, and the pressure to demonstrate meaningful returns is growing. But for many organisations, the gap between AI ambition and AI impact remains uncertain.
The challenge isn't awareness. It's about trust. Teams are sceptical of tools that feel disconnected from the way they actually work. Organisations are locked into existing systems and wary of anything that demands a costly overhaul to implement. And many of the earlier AI assistants simply didn't deliver the seamless, reliable experience that would convince employees, and their managers, to change the way they operate.
The result is a productivity gap. AI spending is rising, but managers and boards are demanding visible results now. Teams are expected to do more with fewer people, and manual, cross-system workflows continue to slow down functions like HR, procurement, finance and customer service, which are the very areas where the impact should be most visible.
IBM AI Agents, powered by watsonx Orchestrate, have been built to close that gap.
A genuinely different approach to AI productivity
What makes IBM AI Agents worthwhile is that they work with the way businesses already operate, rather than asking them to change everything first.
IBM watsonx Orchestrate acts as a single front door for work. Employees describe what they need using familiar channels like chat, collaboration tools, voice, and a network of AI agents coordinates the tasks across the systems and data sources already in use. No rip and replace. No new interfaces to learn. No ecosystem lock-in.
The platform comes with a catalogue of over 700 prebuilt agents and tools, covering business domains including HR, sales, procurement, finance and customer care. These connect out of the box to the enterprise applications your customers already rely on – like
Salesforce, Workday, SAP, ServiceNow, Oracle, Coupa and more. The result is time to value measured in days and weeks, not months.
For customers who are nervous about committing to AI at scale, this is promising. The path to adoption doesn't require a major transformation programme, but simply starts with a specific workflow, a measurable outcome, and an agent that slots into the process teams already follow.
The impact of AI agents
IBM didn't just build their AI agents for their customers. Before they ever introduced them externally, they implemented them within their own business.
Rolling agentic AI across dozens of internal functions and approximately 270,000 employees, IBM delivered a $4.5 billion productivity impact. For partners, that proof point is a powerful one to put in front of sceptical stakeholders.
Beyond IBM's own experience, the performance data is equally compelling. Organisations using IBM AI Agents are seeing up to 70% faster task completion, a 30–50% reduction in manual processing time for workflows like claims, onboarding and approvals, and a 25–35% cut in operational costs for targeted processes. These aren't theoretical gains, they are the outcomes that line-of-business leaders, CFOs and operations teams are actively looking for.
The conversations you are already having with customers about productivity, headcount pressure and cost efficiency are the exact conversations IBM AI Agents are designed to answer.
What the partner opportunity looks like
For partners, IBM AI Agents represent a chance to reframe the AI discussion entirely. Rather than positioning AI as a complex, expensive undertaking that requires months of groundwork before any value is seen, you can present a ready-to-use, proven platform that embeds directly into the workflows customers already depend on.
The key dimensions to lead with are:
Immediate value: Prebuilt agents mean customers aren't starting from scratch. They can activate agents for specific functions, connect them to existing systems and begin seeing productivity gains quickly, building confidence and executive buy-in for broader rollout.
Trust and reliability: Enterprise-grade security, governance guardrails and clear audit trails mean agents operate within the customer's policies. Every action is logged and explainable, which matters deeply to organisations that have been burned by AI tools that felt uncontrolled or opaque.
Genuine flexibility: watsonx Orchestrate supports everything from no-code creation for nontechnical business users to pro-code development for technical teams. Customers can bring their own models, integrate third-party agents and tools, and build on open standards – without being locked into a single vendor's ecosystem.
Scalable impact: Agents built on watsonx Orchestrate share a common catalogue of APIs, automations and data sources. Integrations built once are reused across multiple workflows, so the value compounds as adoption grows across the business.
Why Arrow for IBM AI Agents
As an authorised IBM distributor, Arrow ECS helps partners to build a profitable practice around IBM's AI portfolio, including watsonx Orchestrate and the broader AI Agents capability.
Our dedicated IBM team provides the sales and technical enablement to help you take these solutions to market with confidence. Through Arrow's Experience Centre, you have access to Technical Solution Engineers who can support demonstrations and help you develop custom Proofs of Concept, giving your customers a tangible, hands-on experience of what IBM AI Agents can do in their specific environment before any commitment is made.
The Arrow AI Lab goes further, providing a hands-on space where partners can test AI use cases, run demos and bring ideas to an MVP state – ideal for exploring how IBM AI Agents can be applied across different customer scenarios and industry contexts.
We also support partners with IBM funding, bespoke marketing activities and flexible payment solutions designed to keep CapEx low and make it easier to structure deals that work for your customers.
IBM AI Agents are not another incremental AI update. They represent a meaningful shift in what enterprise AI can deliver – accessible, trusted, and built to work within the systems and workflows businesses already rely on. With Arrow behind you, you have the expertise, resources and support to turn that proposition into a compelling offer and a repeatable, growing revenue stream.
To find out more about how Arrow can support your IBM AI practice, get in touch with our IBM team at ibmvendor.ecs.uk@arrow.com
