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Expert insights on Model Context Protocol, AI gateway security, and enterprise AI integration

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Davos 2026: The Year AI's Execution Gap Became Undeniable
#davos #enterprise-ai

Davos 2026: The Year AI's Execution Gap Became Undeniable

Every executive at Davos is saying the same thing: execution, trust, governance. The AI debate has fundamentally shifted from capability to infrastructure. Here's what that means for enterprise AI in 2026.

Patrick Eden
8 min read
2026 AI Agent Predictions: What Deloitte, Gartner, IBM, and 10+ Analysts Say About Tool Calling
#2026-predictions #ai-agents

2026 AI Agent Predictions: What Deloitte, Gartner, IBM, and 10+ Analysts Say About Tool Calling

A comprehensive roundup of 2026 predictions on AI agents and tool calling from Deloitte, IBM, Gartner, Accenture, BCG, and leading AI analysts. The consensus: orchestration and tool usage will define the year.

Palma.ai Team
12 min read
A CIO's Guide to Scaling AI Agents: From Connectivity to Enterprise Control
#enterprise-ai #governance

A CIO's Guide to Scaling AI Agents: From Connectivity to Enterprise Control

MCP gateways helped enterprises connect models to tools. The CIO challenge in 2026 is different: scaling AI agents across the organization without creating unmanaged risk, compliance exposure, or runaway costs. Palma.ai is the strategic control plane for agent execution.

Palma.ai Team
9 min read
SLMs + Code Mode: make small models do big toolchains (on-prem, governed)
#model-context-protocol #code-mode

SLMs + Code Mode: make small models do big toolchains (on-prem, governed)

Small Language Models (SLMs) can orchestrate complex, multi-tool work if you stop asking them to improvise hop-by-hop. With Code Mode, the agent emits a plan, your model compiles that plan into code, and that code runs in isolates that can call only policy-approved MCP tools.

Palma.ai Team
8 min read
Enterprise Code Mode: avoid lock-in, keep control (the Palma.ai way)
#model-context-protocol #code-mode

Enterprise Code Mode: avoid lock-in, keep control (the Palma.ai way)

Code Mode compiles an agent's plan into code, runs it in isolates, and lets that code call only policy-approved MCP tools. Palma.ai brings this to the enterprise—on-prem, vendor-neutral, with policy, audit, and FinOps at the tool boundary.

Palma.ai Team
12 min read
What is "Code Mode" for MCP—and why Palma.ai makes it enterprise-ready (and portable)
#model-context-protocol #code-mode

What is "Code Mode" for MCP—and why Palma.ai makes it enterprise-ready (and portable)

Code Mode turns multi-hop agent flows into deterministic code that runs in isolates and calls only approved MCP tools. The payoff is higher accuracy, lower token spend, and real governance. Palma.ai brings these ideas to the enterprise—on-prem, no vendor lock-in, with policy, audit, and cost controls at the tool boundary.

Palma.ai Team
10 min read
MCP vs API Gateways: Why AI Agents Need Governance
#model-context-protocol #api-gateways

MCP vs API Gateways: Why AI Agents Need Governance

API gateways secure the edge. MCP requires agent→tool governance: per-tool policies, HITL approvals, identity mediation, and cost guardrails. Learn how Palma.ai helps.

MCP Team
6 min read
Seizing the Agentic AI Advantage with MCP and A2A: The gen AI paradox
#agentic-ai #enterprise-transformation

Seizing the Agentic AI Advantage with MCP and A2A: The gen AI paradox

Discover how agentic AI breaks through the 'gen AI paradox' and why MCP and A2A protocols are critical for the enterprise transformation. Learn how Palma.ai creates the foundation for autonomous AI agents that drive real business impact.

Patrick Gruhn, CEO of palma.ai
12 min read
Why Google's Agent-to-Agent Gift Feels Like Kubernetes All Over Again
#a2a-protocol #kubernetes

Why Google's Agent-to-Agent Gift Feels Like Kubernetes All Over Again

Google's donation of the A2A protocol to the Linux Foundation mirrors what happened in 2015 with kubernetes. Patrick Gruhn was part of that wave with his previous company (exit to cisco), Replex.io, and now part of the next wave with palma.ai. This analysis explores how standardized AI protocol, will reshape enterprise AI infrastructure—and why having the right management layer matters now.

Patrick Gruhn, CEO of palma.ai
8 min read
The New Protocol Era: How MCP and Agent2Agent Are Following the Kubernetes Playbook
#mcp #agent2agent

The New Protocol Era: How MCP and Agent2Agent Are Following the Kubernetes Playbook

Google's donation of Agent2Agent to the Linux Foundation signals standardized AI agent communication. Discover how MCP and A2A protocols are creating the Kubernetes moment for enterprise AI.

Enterprise AI Team
12 min read
Beyond ChatGPT: Building AI Assistants That Actually Know Your Business
#enterprise-ai #business-ai

Beyond ChatGPT: Building AI Assistants That Actually Know Your Business

Discover why generic AI tools aren't enough for enterprise success and how business-aware AI assistants transform productivity.

Enterprise AI Team
15 min read
Multi-Tenant AI: Scaling Personalized AI Assistants Across Enterprise Teams
#multi-tenant #enterprise-ai

Multi-Tenant AI: Scaling Personalized AI Assistants Across Enterprise Teams

Discover how multi-tenant AI architecture enables organizations to deliver specialized AI capabilities to different departments while maintaining security, governance, and cost efficiency at enterprise scale.

Enterprise AI Team
16 min read
Why Enterprise AI Fails Without Proper Data Governance: The MCP Solution
#enterprise-ai #data-governance

Why Enterprise AI Fails Without Proper Data Governance: The MCP Solution

Discover why 70-80% of enterprise AI projects fail and how proper data governance frameworks with MCP can transform AI into secure, compliant business assets.

Enterprise AI Team
18 min read
The ROI of Connected AI: Calculating the Business Value of MCP Investment
#roi #mcp

The ROI of Connected AI: Calculating the Business Value of MCP Investment

A comprehensive analysis of the tangible and intangible returns organizations can expect from implementing MCP infrastructure, including frameworks for calculating ROI and real-world scenarios that demonstrate the protocol's business impact.

Integration Team
12 min read
MCP vs. Traditional API Integrations: Why Enterprises Are Making the Switch
#integration #mcp

MCP vs. Traditional API Integrations: Why Enterprises Are Making the Switch

Discover why enterprises are making the switch from traditional API integrations to the Model Context Protocol for AI-native workflows. Learn about the advantages of MCP over traditional APIs.

Integration Team
12 min read
From Pilot to Production: A Strategic Roadmap for MCP Deployment
#enterprise #best-practices

From Pilot to Production: A Strategic Roadmap for MCP Deployment

A proven framework for taking MCP from initial pilot to production-scale deployment, based on lessons learned from early enterprise adopters.

Enterprise AI Team
15 min read
5 Enterprise AI Use Cases That Require MCP (And Why Chat Alone Isn't Enough)
#enterprise-ai #mcp

5 Enterprise AI Use Cases That Require MCP (And Why Chat Alone Isn't Enough)

Discover why chat alone isn't enough for enterprise AI and explore 5 critical use cases where MCP transforms business operations.

Enterprise AI Team
15 min read
Understanding the Model Context Protocol: A Game-Changer for Enterprise AI Integration
#model-context-protocol #enterprise-ai

Understanding the Model Context Protocol: A Game-Changer for Enterprise AI Integration

Learn how Model Context Protocol (MCP) transforms enterprise AI integration. Discover how this open standard enables AI models to securely access external tools, data sources, and services in real-time.

MCP Team
8 min read

All Posts

Browse our complete collection of articles and guides

Davos 2026: The Year AI's Execution Gap Became Undeniable
#davos #enterprise-ai

Davos 2026: The Year AI's Execution Gap Became Undeniable

Every executive at Davos is saying the same thing: execution, trust, governance. The AI debate has fundamentally shifted from capability to infrastructure. Here's what that means for enterprise AI in 2026.

Patrick Eden
8 min read
2026 AI Agent Predictions: What Deloitte, Gartner, IBM, and 10+ Analysts Say About Tool Calling
#2026-predictions #ai-agents

2026 AI Agent Predictions: What Deloitte, Gartner, IBM, and 10+ Analysts Say About Tool Calling

A comprehensive roundup of 2026 predictions on AI agents and tool calling from Deloitte, IBM, Gartner, Accenture, BCG, and leading AI analysts. The consensus: orchestration and tool usage will define the year.

Palma.ai Team
12 min read
A CIO's Guide to Scaling AI Agents: From Connectivity to Enterprise Control
#enterprise-ai #governance

A CIO's Guide to Scaling AI Agents: From Connectivity to Enterprise Control

MCP gateways helped enterprises connect models to tools. The CIO challenge in 2026 is different: scaling AI agents across the organization without creating unmanaged risk, compliance exposure, or runaway costs. Palma.ai is the strategic control plane for agent execution.

Palma.ai Team
9 min read
CIO Platform Deep Dive: Capability Packs and Agent-to-Agent Orchestration
#enterprise-ai #platform-strategy

CIO Platform Deep Dive: Capability Packs and Agent-to-Agent Orchestration

How to build an internal capability economy for AI agents. Learn about capability packs, A2A orchestration, and platform scaling strategies that turn scattered agent projects into governed enterprise infrastructure.

Palma.ai Team
10 min read
CIO Security Deep Dive: Zero Trust Architecture and Code Mode for AI Agents
#enterprise-ai #security

CIO Security Deep Dive: Zero Trust Architecture and Code Mode for AI Agents

How to mitigate execution risk, prevent prompt manipulation, and implement deterministic controls for enterprise AI agents. A security-first approach to agent governance.

Palma.ai Team
10 min read
CIO Compliance Deep Dive: SOC2, GDPR, EU AI Act, and DORA Evidence Packs
#enterprise-ai #compliance

CIO Compliance Deep Dive: SOC2, GDPR, EU AI Act, and DORA Evidence Packs

How to build audit-grade trails for AI agent execution. Regulatory alignment strategies for SOC2, GDPR, EU AI Act, and DORA compliance with enterprise AI agents.

Palma.ai Team
10 min read
CIO FinOps Deep Dive: Cost Control, Reliability, and Showback for AI Agents
#enterprise-ai #finops

CIO FinOps Deep Dive: Cost Control, Reliability, and Showback for AI Agents

How to control AI agent costs and prove ROI. Learn about showback models, cost attribution by workflow and department, and building economically predictable agent operations.

Palma.ai Team
10 min read
SLMs + Code Mode: make small models do big toolchains (on-prem, governed)
#model-context-protocol #code-mode

SLMs + Code Mode: make small models do big toolchains (on-prem, governed)

Small Language Models (SLMs) can orchestrate complex, multi-tool work if you stop asking them to improvise hop-by-hop. With Code Mode, the agent emits a plan, your model compiles that plan into code, and that code runs in isolates that can call only policy-approved MCP tools.

Palma.ai Team
8 min read
Enterprise Code Mode: avoid lock-in, keep control (the Palma.ai way)
#model-context-protocol #code-mode

Enterprise Code Mode: avoid lock-in, keep control (the Palma.ai way)

Code Mode compiles an agent's plan into code, runs it in isolates, and lets that code call only policy-approved MCP tools. Palma.ai brings this to the enterprise—on-prem, vendor-neutral, with policy, audit, and FinOps at the tool boundary.

Palma.ai Team
12 min read
What is "Code Mode" for MCP—and why Palma.ai makes it enterprise-ready (and portable)
#model-context-protocol #code-mode

What is "Code Mode" for MCP—and why Palma.ai makes it enterprise-ready (and portable)

Code Mode turns multi-hop agent flows into deterministic code that runs in isolates and calls only approved MCP tools. The payoff is higher accuracy, lower token spend, and real governance. Palma.ai brings these ideas to the enterprise—on-prem, no vendor lock-in, with policy, audit, and cost controls at the tool boundary.

Palma.ai Team
10 min read
MCP vs API Gateways: Why AI Agents Need Governance
#model-context-protocol #api-gateways

MCP vs API Gateways: Why AI Agents Need Governance

API gateways secure the edge. MCP requires agent→tool governance: per-tool policies, HITL approvals, identity mediation, and cost guardrails. Learn how Palma.ai helps.

MCP Team
6 min read
Seizing the Agentic AI Advantage with MCP and A2A: The gen AI paradox
#agentic-ai #enterprise-transformation

Seizing the Agentic AI Advantage with MCP and A2A: The gen AI paradox

Discover how agentic AI breaks through the 'gen AI paradox' and why MCP and A2A protocols are critical for the enterprise transformation. Learn how Palma.ai creates the foundation for autonomous AI agents that drive real business impact.

Patrick Gruhn, CEO of palma.ai
12 min read
Why Google's Agent-to-Agent Gift Feels Like Kubernetes All Over Again
#a2a-protocol #kubernetes

Why Google's Agent-to-Agent Gift Feels Like Kubernetes All Over Again

Google's donation of the A2A protocol to the Linux Foundation mirrors what happened in 2015 with kubernetes. Patrick Gruhn was part of that wave with his previous company (exit to cisco), Replex.io, and now part of the next wave with palma.ai. This analysis explores how standardized AI protocol, will reshape enterprise AI infrastructure—and why having the right management layer matters now.

Patrick Gruhn, CEO of palma.ai
8 min read
The New Protocol Era: How MCP and Agent2Agent Are Following the Kubernetes Playbook
#mcp #agent2agent

The New Protocol Era: How MCP and Agent2Agent Are Following the Kubernetes Playbook

Google's donation of Agent2Agent to the Linux Foundation signals standardized AI agent communication. Discover how MCP and A2A protocols are creating the Kubernetes moment for enterprise AI.

Enterprise AI Team
12 min read
Beyond ChatGPT: Building AI Assistants That Actually Know Your Business
#enterprise-ai #business-ai

Beyond ChatGPT: Building AI Assistants That Actually Know Your Business

Discover why generic AI tools aren't enough for enterprise success and how business-aware AI assistants transform productivity.

Enterprise AI Team
15 min read
Multi-Tenant AI: Scaling Personalized AI Assistants Across Enterprise Teams
#multi-tenant #enterprise-ai

Multi-Tenant AI: Scaling Personalized AI Assistants Across Enterprise Teams

Discover how multi-tenant AI architecture enables organizations to deliver specialized AI capabilities to different departments while maintaining security, governance, and cost efficiency at enterprise scale.

Enterprise AI Team
16 min read
Why Enterprise AI Fails Without Proper Data Governance: The MCP Solution
#enterprise-ai #data-governance

Why Enterprise AI Fails Without Proper Data Governance: The MCP Solution

Discover why 70-80% of enterprise AI projects fail and how proper data governance frameworks with MCP can transform AI into secure, compliant business assets.

Enterprise AI Team
18 min read
The ROI of Connected AI: Calculating the Business Value of MCP Investment
#roi #mcp

The ROI of Connected AI: Calculating the Business Value of MCP Investment

A comprehensive analysis of the tangible and intangible returns organizations can expect from implementing MCP infrastructure, including frameworks for calculating ROI and real-world scenarios that demonstrate the protocol's business impact.

Integration Team
12 min read
MCP vs. Traditional API Integrations: Why Enterprises Are Making the Switch
#integration #mcp

MCP vs. Traditional API Integrations: Why Enterprises Are Making the Switch

Discover why enterprises are making the switch from traditional API integrations to the Model Context Protocol for AI-native workflows. Learn about the advantages of MCP over traditional APIs.

Integration Team
12 min read
Security First: How MCP Enables Safe Enterprise AI Integration
#enterprise-security #mcp

Security First: How MCP Enables Safe Enterprise AI Integration

Learn how the Model Context Protocol addresses enterprise AI security challenges with security-by-design architecture, comprehensive audit trails, and compliance frameworks.

Enterprise Security Team
12 min read
From Pilot to Production: A Strategic Roadmap for MCP Deployment
#enterprise #best-practices

From Pilot to Production: A Strategic Roadmap for MCP Deployment

A proven framework for taking MCP from initial pilot to production-scale deployment, based on lessons learned from early enterprise adopters.

Enterprise AI Team
15 min read
5 Enterprise AI Use Cases That Require MCP (And Why Chat Alone Isn't Enough)
#enterprise-ai #mcp

5 Enterprise AI Use Cases That Require MCP (And Why Chat Alone Isn't Enough)

Discover why chat alone isn't enough for enterprise AI and explore 5 critical use cases where MCP transforms business operations.

Enterprise AI Team
15 min read
The Hidden Costs of Disconnected AI: Why Context Matters in Enterprise
#business #cost

The Hidden Costs of Disconnected AI: Why Context Matters in Enterprise

Discover the hidden productivity costs of disconnected AI in enterprise environments. Learn why context switching overhead and data silos are undermining your AI investments and how connected AI solutions can transform your organization.

MCP Team
10 min read
The Future of Work: How MCP-Enabled AI is Reshaping Job Roles and Skills
#future #workplace

The Future of Work: How MCP-Enabled AI is Reshaping Job Roles and Skills

Discover how MCP-enabled AI is transforming job roles from executors to orchestrators, creating new high-value positions and reshaping workplace skills.

Enterprise AI Team
18 min read
Understanding the Model Context Protocol: A Game-Changer for Enterprise AI Integration
#model-context-protocol #enterprise-ai

Understanding the Model Context Protocol: A Game-Changer for Enterprise AI Integration

Learn how Model Context Protocol (MCP) transforms enterprise AI integration. Discover how this open standard enables AI models to securely access external tools, data sources, and services in real-time.

MCP Team
8 min read

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