WALT Labs
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Your Cloud, Optimized | Data & AI | Migrations | Managed Services | Google Cloud Premier Partner | Claude Partner Network
We are dedicated to helping enterprises modernize infrastructure, operationalize AI, and optimize cloud operations. As a global Google Cloud Premier Partner and member of the Claude Partner Network, we combine deep technical expertise with practical implementation to deliver solutions tailored to each client's environment, not off-the-shelf. Whether it's migrating to the cloud or delivering complex cloud and AI initiatives, we provide exceptional service and long-term support. We continuously invest in the latest cloud and AI technologies so our clients can confidently adopt new capabilities as their business evolves. Every engagement starts with understanding our clients' goals, challenges, and business priorities. By combining our expertise with Cloud Companion, our AI-powered platform for cloud visibility, we deliver solutions that improve operational efficiency, increase visibility, and create real operational and financial impact. We believe every enterprise should have access to the technology, expertise, and AI capabilities needed to innovate and grow, not just the largest organizations. Our mission is to help enterprises modernize, optimize, and scale by combining expert services with AI-powered technology that delivers measurable business outcomes.
A common challenge with Gemini Enterprise is starting with the agent, then looking for work to give it.
It’s an easy order to fall into. The license lands, a team builds something impressive, it demos well, and only afterwards does the conversation turn to which part of the business it was supposed to serve.
By then, the agent is the fixed point and the workflow is the variable.
Flip that around.
Start with the workflow you want to improve. Then assess the data behind it: where it lives, how fragmented it is, and whether the agent can reliably access the context it needs.
Only then decide whether an agent is worth building.
Sometimes the answer won’t be an agent. A workflow may be better served by a rule, a form, an API, or another simpler solution. Finding that out early is still a good outcome.
The goal isn’t to find work for AI. It’s to find the right way to improve the work.
So before the next agent gets built: what workflow is it actually for?
09/17/2026
Choosing between a Skill, MCP server, or Plugin?
They all extend what an AI agent can do, but they solve different problems.
• Skill: Reusable instructions, workflows, and organizational knowledge.
• MCP server: Secure connections between agents and external systems, APIs, databases, or tools.
• Plugin: Packaging and distributing vetted capabilities across a team or organization.
The simple version:
• Skill = instructions
• MCP = integration
• Plugin = distribution
The harder question is choosing the right architecture without introducing unnecessary credentials, state, or risk.
We break it down using three tests: trust boundary, statefulness, and blast radius.
Read the framework:
https://waltlabs.io/blog/skill-vs-mcp-server-vs-plugin-claude-decision-framework
WALT Labs - Your Cloud, Optimized The all-in-one platform for FinOps, CloudOps, and Security. Save millions on cloud costs, ensure 99.9% uptime, and run 200+ security checks.
09/09/2026
We’ve seen this pattern before: technology moves from experimentation to production, and operational requirements quickly become as important as the technology itself.
AI agents are no different. As they’re inserted into business-critical workflows, an agent failure is no longer an isolated technical issue. It can disrupt a process, delay a decision, create downstream errors, or impact the customer experience.
That makes operational visibility essential.
Google Cloud’s latest Gemini Enterprise update reflects this shift, adding new visibility into agent latency and error rates.
We help teams build the operational and governance foundations needed to move AI from pilot to production.
Planning a Gemini Enterprise deployment? Start with a structured pilot:
https://waltlabs.io/gemini-pilot
09/02/2026
Claude Code is getting more freedom to act on its own.
That’s great for speed. It also means teams need to think differently about guardrails.
With Auto Mode, Claude Code can make more permission decisions dynamically instead of stopping developers to approve every shell command, file write, or network call.
For teams running Claude Code on Google Cloud, the question is becoming less about what AI can do and more about what it should be allowed to do.
• Where should it have autonomy?
• Where should a human stay in the loop?
• And how do you maintain visibility as usage grows?
We break down what Claude Code Auto Mode changes and the governance considerations Google Cloud teams should be thinking about now:
https://waltlabs.io/blog/claude-code-auto-mode-new-governance-rules-gcp
Where would your team draw the line?
Gemini Enterprise ships with 123 connectors - 18 Google first-party, 105 third-party.
Connecting all of them is the easy part. Deciding which ones should be connected is the actual work.
Before enterprise search goes live, four questions decide whether it lands or stalls: which systems hold the answers people search for, who should see what, whether the content is clean enough to surface, and how governance holds up at scale.
We turned those into a pre-launch readiness checklist:
https://waltlabs.io/blog/enterprise-search-readiness-pre-launch-checklist
Being on the frontier of AI adoption can coexist with control over token spend.
Running models like Fable through Google Cloud gives teams another advantage: AI usage can contribute to existing GCP spend and committed consumption, rather than sitting as a separate API cost.
Cloud Companion adds the visibility and controls around that usage with token spend alerts, monitoring, spend caps, and an AI Kill Switch.
That matters whether your teams are building with Claude Code or using tools like OpenCode, Pi, and other API-driven workflows.
Access the latest models while putting existing cloud commitments to work and keeping AI spend under control.
Learn more: https://waltlabs.io/claude-in-production?utm_source=youtube&utm_medium=social&utm_campaign=anthropic_claude_in_production&utm_content=fable_deepdive
Thanks to everyone who joined WALT Labs and Google Cloud for Cloud Talk at the Ballpark!
The Astros may not have given us much to celebrate, but the conversations made the night worthwhile.
Bringing customers, partners, and cloud leaders together outside of the usual meeting room creates space for better conversations, stronger connections, and new ideas.
We’re looking forward to the next opportunity to bring the cloud community together and continue building connections beyond the ballpark.
Stay connected for upcoming WALT Labs events.
08/20/2026
As your cloud environment scales, keeping visibility and control shouldn’t become another operational burden.
WALT Labs gives your team the expertise and ongoing support to operate with confidence, backed by Cloud Companion, our platform for greater visibility across cloud cost, security, and operations.
For teams running on Google Cloud, WALT Labs extends that value even further with up to 8% cashback on your cloud investment.
More control, better support, and more value from your cloud.
See what you could save with WALT Labs
Click here to claim your Sponsored Listing.
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20008 Champion Forest Drive
Spring, TX
77379
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| Thursday | 8am - 5pm |
| Friday | 8am - 5pm |