Vendors are redesigning partner ecosystems around orchestration, platforms, and outcomes — marking a structural reset in how the channel creates value as AI shifts from experimentation to enterprise-scale execution.
AI is no longer a science project for the channel — 2026 is the year of commercial accountability. After two years of pilots, copilots, and proofs of concept, customers across the Middle East are demanding measurable impact, not experimentation. The consensus among leading vendors is unmistakable: margin is shifting away from product resale toward partners who can orchestrate platforms, unify enterprise data, modernise infrastructure, and govern AI at scale.
Success now hinges on turning fragmented tools into integrated, outcome-driven environments that reclaim time, strengthen resilience, and unlock operational efficiency. In this new cycle, the most profitable channel partners will not be those with access to AI technology, but those with the expertise to connect systems, navigate sovereignty and compliance demands, and deliver autonomous workflows tied directly to business transformation.
From AI Features to Business Outcomes
Samih Moussly, Senior Director – Global Partners & Channels, EMEA South at ServiceNow, captures the shift succinctly: partners must stop selling AI features and start delivering business outcomes. Enterprises across the region have spent the past 18 months experimenting with chatbots and copilots, yet many pilots have failed to translate into tangible results.
The partners gaining traction are reframing the conversation. Instead of leading with tools, they are leading with impact — quantifying hours saved, risk reduced, and processes automated end-to-end.
Frontline industries are already demonstrating this outcome shift. According to Zebra Technologies, retail, logistics, and manufacturing organisations are directing significant portions of IT budgets toward technologies that automate frontline workflows. The focus is moving beyond devices to intelligent operations, where hardware, software, and AI converge to provide asset visibility, connected workers, and real-time decision-making.
Zebra’s Impact of Intelligent Operations report, developed with Oxford Economics, shows the scale of this transition. Retail, logistics, and manufacturing organisations are allocating an average of 69% of their IT budgets to devices, software, and automation technologies that streamline frontline workflows. At the same time, customer experience is becoming a strategic priority, with 47% of retailers, 34% of logistics organisations, and 32% of manufacturers ranking it among their top five focus areas. For channel partners, this signals a clear opportunity: AI value is realised when physical operations are digitised, connected, and integrated into enterprise systems — turning insight into measurable action.
Three priorities define this transition: deploying AI that completes work rather than simply assists, unifying enterprise data so AI has business context, and embedding governance frameworks as AI becomes a board-level concern.
For partners, the revenue opportunity lies in bridging the gap between pilot and production. Platform integration services, outcome-based pricing models, and sovereign infrastructure expertise are emerging as primary margin drivers. In markets such as the Middle East, where data residency and compliance are non-negotiable, these capabilities are becoming critical differentiators.
Infrastructure Optimisation Enters the Value Conversation
While workflow orchestration is one side of the equation, infrastructure strategy is the other. Geoff Greenlaw, VP EMEA/LatAm Channel at Pure Storage, points to a maturing AI investment landscape. Organisations are no longer buying GPUs on momentum alone; they are scrutinising utilisation and return on investment.
This creates a new advisory opportunity for partners: helping customers optimise AI infrastructure rather than simply expanding it. Virtualisation challenges and the shift towards microservices, Kubernetes, and modern application environments are opening doors for deeper engagement. Partners who guide customers through architectural decisions — whether to remain with current providers, move to the cloud, or adopt new virtualisation models — are embedding themselves more deeply in customer environments and creating sustained value streams.
Across sectors, enterprises are prioritising resilience, sustainability, and operational efficiency over point solutions. This platform approach is mirrored in broader solution-buying patterns. Zebra Technologies notes that customer solutions now typically involve multiple technologies and partners, combining devices, software, and services into unified architectures. The channel opportunity lies in coordinating these ecosystems — ISVs, integrators, consultants, and connectivity providers — into seamless operational platforms rather than fragmented deployments.
Partners who can design integrated, end-to-end environments that unlock the value of data while simplifying management are emerging as leaders in the AI economy. Yet performance and optimisation alone do not make AI enterprise-ready.
The ability to secure identities, privileges, and autonomous systems is becoming just as critical as infrastructure strategy.
AI Needs a Security Control Tower
AI moving into production has made security the defining factor between scalable deployments and stalled initiatives. Maya Zakhour, Director of Partner Ecosystem at BeyondTrust, notes that partners must embed privilege-centric identity security directly into AI workflows to move beyond experimentation.
Autonomous AI systems — particularly agentic models capable of acting independently — introduce a new class of risk. Without strict identity and privilege controls, these systems can become high-speed vulnerability multipliers. The next wave of partner opportunity lies in enabling AI-driven automation while maintaining continuous visibility and governance across identities, machines, and AI agents.
Amar Mehta, Senior Director Sales MEA at Sophos, adds that 2026 marks a shift from selling security tools to delivering measurable AI-driven security outcomes. The partner role is evolving from trusted security advisor to trusted AI security expert. With Managed Detection & Response, AI-powered detection combined with human validation enables partners to deliver continuous protection as a service rather than point products. Integrated platforms and AI assistance tools also allow partners to scale operations without increasing headcount.
This evolution shifts security from a protective afterthought to an operational enabler. Partners who can unify security management across AI, cloud, and on-prem environments — while navigating sovereign infrastructure requirements — are positioned to command premium margins. Customers across the Middle East are increasingly willing to pay for trusted AI deployments that protect sensitive data and meet regulatory demands.
ERP as AI Backbone
Paul Flannery, VP International Channel at Epicor, brings the data layer into focus. AI has moved from hype to hard results; the starting point is ERP. Long viewed as back-office infrastructure, ERP is becoming the trusted data backbone for intelligent automation.
For channel partners, this reframes ERP as the foundation of the AI stack. Conversations that once centred on individual modules now extend into broader ecosystems. A manufacturing engagement may begin with CPQ to improve customer engagement and production agility, then expand into financial planning tools to enhance resilience and visibility. The model shifts from single-solution delivery to a platform-led expansion strategy.
Partners thriving in this environment are re-engineering their business models around cloud-first, AI-enabled delivery and continuous improvement cycles. Specialisation, industry fluency, and the ability to connect technology with tangible business outcomes are proving more valuable than broad but shallow portfolios.
Vendor Ecosystems Evolve with the Channel
The structural nature of this shift is reflected in how vendors are redesigning their partner programmes.
ServiceNow has enhanced its global Partner Program to accelerate AI agent innovation, opening its ecosystem to more innovators and strengthening its marketplace for partner-built AI solutions. More than 1,000 partners are transitioning into the revamped framework, which simplifies how solutions are built, certified, and distributed.
Cisco’s 360 Partner Program reflects a parallel evolution. Designed with extensive partner input, it aligns success with customer outcomes in AI-ready data centres, future-proofed workplaces, and digital resilience. New designations, incentives, and lifecycle-based metrics are designed to reward value creation rather than transactional volume.
Both initiatives point to the same conclusion: partner programmes are being recalibrated to support an outcome-based, ecosystem-driven channel model.
Greg Williams, VP Channel EMEA at Zebra Technologies, reinforces this direction, noting that successful ecosystems will be defined not by the number of partners, but by the strength of alignment and the ability to co-create solutions. He emphasises the need for selective collaboration among partners whose capabilities directly support strategic use cases and measurable outcomes.
Zebra highlights the growing importance of multi-partner collaboration, where ISVs, systems integrators, consultants, and connectivity providers work together to deliver connected frontline operations and intelligent automation. This reflects a wider channel evolution: ecosystem orchestration is becoming more valuable than transactional scale.
The Margin Is in Orchestration
Across platforms, infrastructure, security, and enterprise applications, one theme stands out: the margin in 2026 sits in orchestration. AI-ready partners no longer compete on model access or feature sets — those are rapidly commoditising. They compete on their ability to design autonomous workflows, integrate disparate systems, manage governance and compliance, and deliver measurable business outcomes within complex regional environments.
For Middle East partners, this means mastering data sovereignty requirements, supporting local language needs, understanding sector-specific regulations, and aligning with national digital and smart-city ambitions. It also means building alliances across the channel ecosystem to deliver integrated solutions spanning infrastructure, data, and workflows.
The channel is not being replaced by AI — it is being redefined by it. The most successful partners will be those who evolve from product resellers into platform orchestrators, innovation collaborators, and strategic advisors. In the AI economy, technology may be the enabler, but orchestration is the business model.
