OpenClaw Deployment — AI Agent Setup | OpenClaws

> OpenClaw Deployment

Zero to Production.
In Days, Not Months.

Skip the weeks of trial and error. OpenClaws Agency handles your entire OpenClaw deployment end-to-end: infrastructure setup, agent configuration, skill development, integration, testing, and go-live support. Turnkey AI agents, ready for production.

Most deployments go live within 1 to 2 weeks

Everything You Need to Go Live

A complete deployment service that covers every layer of your AI agent infrastructure.

Infrastructure Setup

We provision your cloud infrastructure on AWS, GCP, Azure, or on-premises. Compute, storage, networking, security groups, and environment configuration. Everything optimized for OpenClaw from the start.

Agent Configuration

Model selection, skill assignment, memory configuration, safety boundaries, and behavioral tuning. Each agent is configured for your specific use case and tested against real scenarios before going live.

Integration and Custom Skills

We connect your agents to your existing tools and build custom skills for your workflows. CRM integrations, API connections, browser automation, data pipelines, and anything else your agents need to do their job.

Testing and Go-Live Support

Rigorous end-to-end testing with real-world scenarios before anything touches production. We run load tests, edge case simulations, and failure recovery drills. Then we manage the cutover and monitor closely during the first 48 hours.

How We Get You Live

A proven process that delivers reliable results on a predictable timeline.

01

Discovery and Scoping

We map your requirements: which workflows to automate, what tools to integrate, how many agents you need, and what success looks like. You get a detailed deployment plan with timeline and cost before any work begins.

02

Build and Configure

Infrastructure provisioning, OpenClaw installation, agent configuration, custom skill development, and integration with your existing tools. All built by engineers who have done this dozens of times before.

03

Test, Launch, and Monitor

End-to-end testing in a staging environment. Then a managed go-live with 48-hour intensive monitoring. We stay hands-on until everything is running smoothly and your team is confident operating the system.

From Kickoff to Production in Weeks

A proven process refined across dozens of deployments.

Phase 1: Discovery (Days 1-5)

We start by understanding your business inside and out. This isn't a generic questionnaire — we conduct working sessions with your team to map workflows, identify integration points, understand your data landscape, and define success metrics. By the end of discovery, we have a clear picture of what your AI agents need to do and how they'll fit into your existing operations.

Phase 2: Architecture and Design (Days 5-10)

Based on discovery, we design your deployment architecture:

  • Agent topology: Which agents to deploy, their roles, and how they coordinate
  • Tool integrations: Connections to your CRM, email, calendar, databases, APIs, and other systems
  • Security model: Access controls, data handling policies, encryption, and audit logging
  • Skill development: Custom skills tailored to your specific workflows and business logic
  • Scaling plan: How the deployment grows as your usage increases

You review and approve the architecture before we write a single line of configuration.

Phase 3: Build and Configure (Days 10-20)

This is where agents come to life. We configure the OpenClaw platform, build custom skills, set up integrations, implement monitoring, and prepare the production environment. Development happens iteratively — you see progress daily and can provide feedback throughout.

Phase 4: Testing and Validation (Days 20-25)

Every agent goes through rigorous testing:

  • Functional testing: Does each agent complete its tasks correctly?
  • Integration testing: Do all system connections work reliably?
  • Edge case testing: How do agents handle unusual inputs, errors, and unexpected situations?
  • Load testing: Can the deployment handle your expected volume with headroom?
  • Security testing: Are access controls, data handling, and audit logging working correctly?

Phase 5: Launch and Stabilize (Days 25-30)

We deploy to production with a phased rollout. Agents run in shadow mode initially (processing real inputs but not taking actions) so we can validate behavior. Once confirmed, we enable full autonomous operation. The first week post-launch includes daily check-ins and rapid iteration on any issues.

What You Get at the End

  • Fully operational AI agents running in production
  • Complete documentation of your deployment architecture
  • Monitoring dashboards with key metrics
  • Runbooks for common operational scenarios
  • Training for your team on interacting with and overseeing agents
  • 30-day post-launch support included

After deployment, most clients transition to our managed OpenClaw service for ongoing operations, or use our consulting service to build internal capability for self-management. Learn more about the managed vs DIY decision or explore solutions for your industry: founders, sales teams, agencies, and more.

Ready to Deploy Your AI Agents?

Get a free deployment plan with architecture, timeline, and pricing. No commitment. No generic proposal.

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Deployment FAQ

Questions about our deployment service.

How long does a typical deployment take?

Most deployments go live within 1 to 2 weeks. Simple single-agent setups can be ready in under a week. Complex multi-agent orchestrations with extensive custom integrations typically take 3 to 4 weeks. We provide a firm timeline during scoping.

What happens after deployment? Do you offer ongoing support?

Every deployment includes 48-hour post-launch monitoring and a 30-day support window for adjustments. After that, you can transition to our Managed OpenClaw service for ongoing 24/7 monitoring, updates, and scaling. Or you can operate independently with the documentation and training we provide.

Can you deploy to our existing cloud infrastructure?

Yes. We deploy to your AWS, GCP, Azure, or on-premises infrastructure. If you have existing cloud accounts and compliance requirements, we work within your environment. We can also provision new infrastructure if you prefer a clean setup.

What if we need changes after go-live?

The 30-day support window covers configuration adjustments, minor skill modifications, and integration tweaks. Larger changes like new agent capabilities or additional integrations can be scoped as follow-on work or handled through our managed service.