Unlocking the Future of AI Integration

AI Trends Shaping the Market

Five trendlines of the AI market were highlighted by the summit:

1. Multimodal AI is no longer a research buzzword, it’s about bringing together voice, text, and even images in everyday business interactions.

2. AI Agents are moving far past the chatbot phase, evolving into systems that can collaborate with each other and share context.

3. Assistive Search promises to change how employees and customers alike find information, turning search into a partner rather than a tool.

4. AI-Powered Experiences are raising expectations for seamless, hyper-personalized journeys.

5. And finally, Security with AI is becoming tougher, smarter, and more essential as adoption accelerates.

For us as partners, the message was clear: these trends don’t just create opportunities to build new solutions, they also demand stronger focus on governance, compliance, and trust.

Platform Innovations and Protocols

Google Cloud’s product leaders revealed how its platform is being optimized for an AI-first world:

• AI Infrastructure for reliable business-grade performance

• Gemini models for multimodal intelligence

• Vertex AI for model development and deployment

• Agents as the orchestration layer for intelligent workflows

Among the most anticipated announcements was Agent2Agent Protocol (A2A), a new standard that allows negotiation of work, sharing of state, and dynamic cooperation between AI agents. Coupled with MCP, it introduces a vision of cooperative, smart ecosystems where governance, security, and compliance are paramount.

Beyond Technology: Transformation Calls for More

While AI is central, it must be accompanied by other factors. True transformation hinges on a combination of technology triggers, economic imperatives, and organizational requirements:

• Frontier AI, workflow automation, and business data.

• Digital economy opportunity, monetization, and customization.

• Cloud adoption, citizen development, and sovereign controls.

A balanced view ensured the summit remained grounded in practical adoption challenges, a reminder that governance, integration, and culture are as critical as cutting-edge technology.

Governance, Trust, and the “Enterprise Truth”

Another theme that kept recurring was trust and governance. Sessions highlighted how Apigee and Application Integration make it easy to create an Enterprise Truth, a managed set of trusted APIs, connectors, and tools that AI agents can reliably rely on.

Some of the highlights were:

• Maintaining enterprise truth by discovering, curating, and governing APIs.

• AI trustworthiness: agents are no more reliable than the tools and connectors they use.

• Governance for agents: observability, explainability, health, and compliance at the stack level.

For us as a partner, this puts the strategic value of integration and API management front and center in AI adoption.

Technical Highlights: ADK, MCP, and A2A in Action

The afternoon technical sessions provided hands-on introductions to the tools and frameworks behind this vision:

• ADK (Agent Development Kit): an open-source, code-first development kit (Python/Java) for building and deploying high-end AI agents. Tuned for Gemini, but model-agnostic and framework-compatible.

• MCP (Model Context Protocol): a protocol for connecting agents with business resources, APIs, and tools.

• A2A (Agent2Agent Protocol): enabling negotiation, task management, and collaboration between agents.

These sessions demonstrated tangible steps for developers to try, prototype, and go large on intelligent agents in the business.

Welcome to Google AgentSpace

One of the main highlights at the summit was the launch of Google AgentSpace, a hyperscale platform for building enterprise scale AI agents. Enterprise agent hub, AgentSpace consolidates discovery, governance, and deployment of agents into a single platform, combining Google’s multi-modal search, generative AI, and enterprise controls.

AgentSpace provides three core capabilities:

• Find: Use Google-quality search in text, image, audio, and video to produce deeper insights, grounded in business data and informed by Google’s Knowledge Graph.

• Understand: Use powerful LLMs to combine structured and unstructured information into usable insights, from summaries through reports to conversational investigation of business data.

• Act: Use one platform to access, build, and manage agents, whether Google-developed agents, user-developed no-code agents, or business-developed custom agents.

Combined, these capabilities make AgentSpace a business command center for AI agents, enabling organizations to adopt at scale without sacrificing security and compliance.

AgentSpace + Application Integration

The conference also emphasized how complementary AgentSpace and Application Integration are. While AgentSpace enables discovery, construction, and orchestration of agents by organizations, Application Integration brings these capabilities to the next level with deterministic workflows, reusable business processes, and end-point governance logic.

Combined, this provides:

• Consistent agent executing on top of core business processes such as compliance checking, approvals, or order fulfillment.

• Deep extension into business systems beyond AgentSpace’s off-the-shelf adaptors, such as on-prem and legacy systems.

• Enterprise truth enforcement, such that agents execute jobs reliably, with consistent results and reliable data sources

The result is a seamless path for businesses to move from exploring agents to operationalizing them at scale, backed by a solid governance framework.

AgentSpace in Action

To put its potential in perspective, a few use cases were shared:

• Finance processes: Agents verifying invoices against contracts using DocAI and Application Integration to eliminate manual work.

• Procurement processes: Invoice verification and vendor communication automated in bulk, freeing workers from monotonous manual work.

• Insurance operations: Arming 30,000 brokers with agents that can retrieve customer data, generate quotes, and process commission payments across fragmented systems.

These demos illustrated how AgentSpace can bring together automation, intelligence, and integration into business processes in the business world, and how partners can use it to provide tangible business outcomes.

What It Means for Partners and Customers

The Apigee Horizon Partners Summit 2025 once more reaffirmed Google Cloud’s commitment to enabling its ecosystem with tools, vision, and governance to succeed in the AI era.

For partners, the task is now obvious: turn vision into value.

• Experiment with agent-to-agent workflows.

• Build responsibly with trust and governance at the forefront.

• Help customers adopt AI in secure, scalable, business-relevant terms.

For businesses, the message is no less unambiguous: AI is needed, but it is not sufficient. Success will belong to those who combine technology with trust, economic acumen, and cultural readiness.

My Takeaways from the Summit

• AI Agents are coming into the spotlight: No longer simple chatbots, but autonomous cooperators shaping business workflows.

• Protocols are the building block: MCP (agent ↔ tool) and A2A (agent ↔ agent) will define how AI ecosystems exchange information securely.

• Governance is not a choice: Trust, compliance, and enterprise “truth” need to be no less important than technical capability.

• Transformation not technology: Success delivery will depend on the right combination of tech, economics, and organizational preparedness.

• Partners are the key: The opportunity lies in taking these innovations to market as secure, scalable, client-ready solutions.

Closing Reflections

The conference was more than an event, it was a blueprint to the digital future of the coming era. With the convergence of innovation and governance, technology and responsibility, Google Cloud and its partners are shaping a future where AI agents don’t just assist but collaborate, make decisions, and drive business value.

As valued partners, our responsibility is to turn these breakthroughs into real-world outcomes for our customers, allowing them to embrace AI responsibly, fit right in, and compete effectively in an increasingly digital economy.