2025 YTD Report - AI-powered Partner Programs: What Top Tech Companies Are Doing With AI
AI is transforming not just what tech companies build, but how they go to market, and who they go to market with. And distribution at scale (think Microsoft) is the difference between a product and a market leader. It happens when partnerships turn into multipliers, not just channels. In Q2 2025, nearly every leading tech company sharpened its partner strategy to capitalize on agentic AI, embedded assistants, and platform-native extensibility. If you’re a partner leader watching this unfold and want to stay up to date, this report is your quarterly field guide.
Expect sharp pivots in incentive structures, deeper integrations with hyperscalers, and new revenue paths hidden inside co-sell motions and marketplaces. But more importantly: this isn’t about keeping up. It’s about seeing ahead. Understanding what the likes of Microsoft, AWS, Nvidia, Google, OpenAI, Oracle, Salesforce, ServiceNow, CrowdStrike, Snowflake, Palo Alto Networks, Cohere, C3 AI, Cisco, IBM, and RedHat are really signaling through their partner motions. In this post you
This report connects the dots, trims the noise, and highlights what actually matters to experienced GTM and partner ecosystem executives. I am sure it will be a source of inspiration and ideas. Send me a note with feedback and asks, I read all of them.
Microsoft: Partner Program Evolution with AI & Funding Surge
Microsoft rolled out major AI Cloud Partner Program enhancements tied to its fiscal FY26 launch. A key initiative is MCAPS Start for Partners, introducing two new device-driven designations for Copilot+ PCs and modern Windows devices, targeting AI hardware enablement for SMB growth.
At Build 2025, Microsoft spotlighted deep AI integrations across Windows 11, Microsoft 365, and GitHub Copilot, plus partner-led GTM alliances with OpenAI, Nvidia, and Grok 3.5. Microsoft also expanded incentives for partners of up to 70% YOY, Copilot-specific partner incentives with funding up by 50%, and simplified its co-sell deal registration.
For partners, Copilot is rapidly emerging as a significant strategic differentiator. They are benefiting from accelerated customer adoption, enhanced productivity and margins, differentiated value proposition, and strategic market positioning
Microsoft is evolving its AI-powered vision into actionable plans for partners and a go-to-market approach around three solution areas that provide a scalable, repeatable framework for how partners engage across industries, segments, and geographies:
AI Business Solutions: Scale Copilot and drive Microsoft 365 and Dynamics 365.
Cloud & AI Platforms: accelerate Frontier AI and cloud migrations
Security: Secure the core foundation.
We will provide more details on the Microsoft GTM with partners and a deep dive on new partner initiatives and partner programs, so stay tuned.
What this means for partnerships: AI is creating new opportunities for partners, but speed is a key success factor. Partner teams must quickly align with designation criteria and API upgrades. Longer-term, Copilot ecosystems and AI-native Windows devices present monetization paths for OEMs, CSPs, and solution providers. Microsoft’s aggressive Copilot rollout unlocks recurring services opportunities across devices, developer tools, and SMB bundles—putting qualified partners in prime position to capture AI-powered growth.
Google/Alphabet: OpenAI Tie-Up and Agent Ecosystem Expansion
Google reported 32% YoY Google Cloud growth to $13.6B in Q2, largely fueled by its infrastructure partnership with OpenAI, which now uses Google Cloud for ChatGPT globally.
At Google Cloud Next 2025 and I/O, the company launched tools like Ironwood TPU, Vertex AI Agent Engine, Project Astra, and Gemini 2.5, enabling ecosystem integration for ISVs and GSIs. The Gemini chatbot hit 450M MAUs, and AI Overviews are live for B2B users.
What this means for partners: Google’s open-platform approach creates new territory for partners to innovate on multi-modal agent infrastructure, leverage Vertex AI APIs, and build data-rich AI experiences at scale. With massive user adoption, Google’s platform opens up embedded co-sell motions and specialized build opportunities for partners who develop on Gemini and Vertex AI foundations, especially across CX, search, and app modernization
Red Hat: AI Specialization and Autonomous Marketing for Partners
Red Hat launched its Specialized Partner Program with a new AI Platform specialization, allowing solution providers to differentiate through open-source AI infrastructure offerings. The new Partner Demand Center allows partners to autonomously manage events and campaigns with real-time insights and offers AI-powered content localization and campaign performance tracking.
Enhanced rebates and simplification of enablement tools further reduce barriers for partner-led demand generation.
What this means for partnerships: Red Hat is shifting from top-down enablement to partner-driven execution, with autonomy, AI awareness, and vertical-specific marketing campaigns embedded. These changes empower partners to take ownership of demand generation and build vertical AI offers more effectively, while leveraging Red Hat's open-source reputation to expand into enterprise automation.Red Hat: AI Specialization and Autonomous Marketing for Partners
C3 AI: Scaling Enterprise AI via Partner-Led Delivery
C3 AI disclosed that 62% of Q2 deals were partner-driven, with a 20x increase in Google Cloud-led deals YoY. The company noted that nearly all public-sector wins involved a partner-led GTM model. The extended Capgemini alliance focuses on building a dedicated C3 AI global practice. Key joint wins span energy, manufacturing, and defense.
What this means for partnerships: Enterprise AI execution is becoming partner-led. C3 AI’s growth-through-partners model enables GSIs and vertical SIs to accelerate AI transformation in regulated and complex industries. Their strategic approach allows for faster scaling, localized delivery, and embedded co-sell opportunities with hyperscalers like Google Cloud.
Cohere: Secure LLM Partnerships and Vertical Penetration
Cohere expanded its ecosystem with SAP AI Core integration, a Dell infrastructure deal, and vertical automation partnerships in healthcare with Ensemble Health. It also grew public-sector reach in Canada and the UK.
What this means: Cohere is shaping itself as the secure LLM layer of enterprise AI. The company’s flexible deployment options and compliance-first infrastructure position it well in healthcare, financial services, and government sectors. Partners benefit from its neutrality and verticalized solution potential, particularly when embedded with Dell, SAP, and Ensemble Health integrations. Partners gain opportunities through platform integrations, infrastructure embedding, and vertical market tailoring.
AWS & Amazon: AI Infrastructure and Marketplace Expansion
AWS invested $100 million in its Generative AI Innovation Center, launching the AI Partner Innovation Alliance, a curated SI / consultancy network driving AI deployments at scale. AWS unveiled a new AI Agents and Tools category in its Marketplace, simplifying procurement and deployment of agentic software by partner vendors.
Amazon’s partnership with Anthropic is projected to yield $1.28 billion in AWS revenue in 2025, scaling to $5.6 billion by 2027, driven by Anthropic’s reliance on Trainium chips and AWS infrastructure.
AWS also deepened co-sell relationships with companies like Pegasystems, integrating Bedrock and AWS Transform into Pega Blueprint.
What this means: AWS is positioning partners at the core of AI platform growth via marketplace, infrastructure GTM, and co-innovation alliances. The Innovation Center unlocks access to reference architectures and use case blueprints. The Marketplace’s new Agents & Tools category also streamlines visibility and distribution for partner-built AI applications. Partners gain access to agent frameworks, capital, and designations that align to their delivery and deployment models.
Oracle: CloudWorld & Agentic Platform Partnering
Oracle's CloudWorld 2025 sessions focused on the AI Data Platform, Agentic AI, DB23ai, and Oracle Customer Success Services. These strategic updates were offered to top partner executives, reinforcing Oracle’s ecosystem-first model.
What this means for partners: Oracle is preparing its partner ecosystem to co-deliver next-gen AI services and enterprise adoption aligned with its agentic infrastructure. Partners who focus on multicloud architecture, performance optimization, and vertical compliance will find new traction in Oracle’s AI data pipeline strategy. next-gen AI services and enterprise adoption aligned with its agentic infrastructure.

Salesforce: Agentforce Ecosystem and Informatica Buy-In
Salesforce launched Agentforce for Partner Community in March 2025, handling 1,400 partner queries weekly across 120,000 monthly users. The initiative helps free up 75% of partner operations time.
Salesforce is also integrating Informatica’s MDM capabilities into Agentforce and has announced its $8 billion acquisition of Informatica to control the AI data stack.
What this means for partnerships: Salesforce is embedding AI across its partner-facing stack. With Agentforce handling front-line interactions and Informatica enriching backend data, partners now have a robust AI fabric to work within. These tools reduce friction in partner operations while enabling a more intelligent and automated GTM motion across Salesforce's ecosystem. Partners benefit through enhanced tooling, cleaner data, and expanded co-innovation around Agentforce workflows.
ServiceNow: Deal Growth & AI Platform Scale
ServiceNow posted 22% YoY revenue growth to $3.215 billion in Q2 2025, driven by its acquisition of Moveworks and increased large enterprise AI deals. Customers generating over $5M ARR reached 528.
ServiceNow expanded its global Partner Program in early 2025, introducing quadrupled investment in AI incentives, new GenAI specializations, and a recognition award for “GenAI Customer Value Partner of the Year.” They elevated Infosys and Cognizant to Global Elite status, underscoring high-impact capabilities in AI transformation projects.
At Q2 earnings, ServiceNow disclosed subscription revenue of $3.11 billion (22.5% YoY) and noted that 17 of its top 20 deals included Workflow Data Fabric, signaling tight alignment between AI enablement and partner-led deployment.
What this means: AI enablement is already having a big impact and paying off. Sales, implementation, and consulting partners can now support distinct GenAI verticals - Customer Experience, Employee Experience, cybersecurity, and ServiceOps - with AI-enabled PLAs and specializations. Elevated partners like Infosys and Cognizant gain marketing credibility and co-sell clout, while the Workflow Data Fabric requirement creates opportunity for partners to architect data-enabled, AI-ready transformation pipelines. ServiceNow’s Now Assist AI tools and post-acquisition scale present strong alignment opportunities for partner-led enterprise modernization projects. With large deal growth and a sharpened focus on automation, partners can capitalize on prebuilt workflows and high-touch service integrations to deliver tangible productivity outcomes.
Snowflake: Partner Awards & AI‑Driven ISV Growth
At its Snowflake Summit 2025, the company unveiled significant partner program updates to strengthen its ecosystem. Enhancements included streamlined partner services registration tied to specific use cases, a new Services Registration Incentive (SRI) to accelerate customer adoption, and a revised tiering model designed to scale with partner growth. Snowflake celebrated 33 global partners for their AI Data Cloud contributions. The company emphasized ISV growth, co-innovation, and vertical AI applications.
Snowflake expanded its technology alliances to strengthen AI use cases across industries and appointed Chris Niederman (ex-AWS) as its new SVP of Alliances & Channels, signaling a stronger emphasis on partner-led go-to-market expansion.
For SI, ISV, and consulting partners, this means:
New revenue streams around AI agent customization, governance, and vertical use cases.
Technical differentiation: partners that quickly build practices around Snowflake Intelligence and adaptive compute optimization can position themselves as go-to advisors for AI transformation.
In terms of new leadership:
Expect new incentive models that reward not just consumption, but AI adoption outcomes (e.g., services tied to Snowflake Intelligence use cases).
Partners will increasingly be measured on their ability to co-create IP with Snowflake (apps, accelerators, vertical frameworks) rather than just reselling or implementing.
Snowflake is preparing the ground for co-sell acceleration, where AI use cases become the anchor motion with CROs, CMOs, and CDOs.
CrowdStrike: AI Security at Scale via AWS & Nvidia
CrowdStrike expanded its AWS partnership, launching Falcon-MCP and AI Red Team Services in the AWS Marketplace. It also revamped its Accelerate Partner Program, which now accounts for 60% of new business via the Falcon platform.
CrowdStrike joined Nvidia’s Enterprise AI Factory, helping secure AI model pipelines and infrastructure through embedded cybersecurity tooling.
What this means: AI-native security is critical for every GTM motion. CrowdStrike partners gain strategic differentiation by securing enterprise AI adoption pathways. With validated architecture alongside AWS and Nvidia, partners are now in position to lead conversations around AI trust, compliance, and lifecycle security, particularly in regulated and data-sensitive sectors.
Cisco: 360 Partner Program & Agentic AI Momentum
Cisco rolled out its Cisco 360 Partner Program, shifting to a value-based model with two designations—Cisco Partner and Cisco Preferred Partner—aligned by specialization, including a new AI‑Ready Infrastructure track.
They introduced the Partner Incentive Estimator to help partners assess profitability, and at Enterprise Connect 2025, Cisco launched Webex AI Agent and Assistant for Webex Contact Center, integrated with Salesforce and ServiceNow.
Cisco is equipping partners with a simpler, value-centric partner framework and tools to model profitability while enabling them to build agentic AI-powered collaboration workflows.
IBM: Infusing AI into Partner Plus and Ecosystem Strategy
IBM enhanced its Partner Plus program with AI-driven enablement, tooling, and consulting accelerators, as it reported AI-related revenue surpassing $7.5B.
At its Think event, IBM highlighted watsonx Orchestrate platform updates with over 150 pre-built domain agents, and ecosystem integrations with SAP, AWS, and Adobe. IBM aims to drive 80% of business through partners within 5 years.
What this means: IBM is embedding AI into every partner interaction and product. Partners gain opportunity in co-building agentic workflows, scaling watsonx solutions, and leading AI transformation across regulated industries.

What Partners and executives Need to Know
AI is no longer an isolated innovation; it is a market-shaping force across infrastructure, GTM, and ecosystem strategy. In Q2 2025, we saw tech giants and upstarts alike retooling their partner programs around agentic AI models, automation-first workflows, and embedded monetization layers, from Microsoft’s Copilot SMB designations to Google’s Vertex agent engine, from CrowdStrike’s AI-secured platforms to Salesforce’s Agentforce.
Across the board, platform extensibility, data trust, and agent orchestration are becoming the new pillars of partner-led growth. Cloud marketplaces are more than procurement hubs. They are fast becoming launchpads for AI-native GTM. Programmatically rich partner APIs, specializations, and vertical integrations signal that vendors expect partners to own more of the delivery stack, especially for AI deployment, security, and lifecycle management.
Partner leaders should ask:
Are our teams aligned with AI-first incentive structures and specialization frameworks?
Do we have a vertical or use-case lens for building and co-selling agentic solutions?
Are we positioned to embed in platform-native marketplaces and grow through co-innovation?
The next wave of ecosystem growth will reward those who are not just certified, but strategically fluent in AI’s operating logic, partner incentives, and co-delivery design.
How Partner Leaders Are Using AI
Function | AI use case | Benefits and metrics |
Recruiting & integration | Partner profile scoring; integration opportunity discovery | 40%+ higher response rates; 30% faster integration launches and 18% higher partner satisfaction |
Program management | Prioritizing tasks using portal/CRM data | Streamlined workflows; proactive issue resolution |
Marketing & thought partnership | Content brainstorming; personalized campaign messaging | Time savings and creative lift |
Upsell & cross‑sell | Analyzing behavior to recommend expansions | Personalized recommendations; increased expansion revenue |
Onboarding & support | AI guides and chatbots in partner portals | Faster activation; reduced support load |
Enablement & relationship management | Personalized training; follow‑up suggestions; forecasting | Better retention; more accurate forecasting |
Co‑selling & joint messaging | Generating joint business plans and co‑marketing content | Shorter planning cycles; targeted messaging |
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Until next time!
Adri Scalora and the AI Partnerships Insights Team