The Short Answer
OpenClaw is an open-source AI agent framework you host on your own infrastructure. If someone on your team is genuinely comfortable running a server, with the updates, backups, and security patching that entails, self-hosting OpenClaw is a legitimate choice, and you may not need a vendor at all. If your needs are simple app-to-app automations, a workflow builder like Make or n8n is probably enough. Agent88 sits between those poles: a managed service that deploys and runs a private agent configured for your workflows, so you get most of the data-control benefits of self-hosting without owning the maintenance.
- Self-host OpenClaw if you have in-house technical capability and want full control of the stack.
- Use a workflow builder if the work is clean trigger-and-action automation with no judgment involved. Our Zapier alternative guide covers where that line sits.
- Consider Agent88 if you want agent-level work such as WhatsApp intake, document triage, and follow-ups, implemented and maintained for you.
A concrete example: a trading office in Sheung Wan gets a supplier enquiry on WhatsApp at 11pm, in Cantonese, referencing a quote sent two weeks ago. A workflow builder needs a pre-built path for that; an agent can pull the thread history, draft a bilingual reply, and queue it for morning review.
On trust: an Agent88 deployment drafts and prepares. A person approves anything before it reaches a client or supplier.
The Options at a Glance
| Make | n8n | Cloud AI assistant | OpenClaw (self-hosted) | Agent88 (managed) | |
|---|---|---|---|---|---|
| Where it runs | Vendor's cloud | Vendor's cloud or your server | Provider's cloud | Your server | Private deployment options, managed for you |
| Core model | Visual trigger → action workflows | Visual workflows, self-hostable | Prompt-based drafting and search | Autonomous agent framework | Agent implemented and tuned for your workflows |
| Handles ambiguity | No, pre-built paths only | Limited | Per prompt, no persistent workflows | Yes, within boundaries you configure | Yes, with human approval points |
| Who maintains it | Vendor (cloud) | You, if self-hosted | Vendor | You | Agent88, as part of the engagement |
| Technical skill needed | Low | Moderate to high (self-hosted) | Low | High | Low |
What Each Tool Actually Is
Make (formerly Integromat) is a visual workflow builder: connect apps, map data, trigger automations. It is cloud-only, so workflows run on Make's servers, and pricing scales with usage. Excellent for connecting SaaS tools; not designed for conversational AI, judgment calls, or unstructured documents like contracts.
n8n covers similar ground with one critical difference: it can be self-hosted, so workflow data and credentials can stay on your own server. The trade-off is operational: someone owns Docker, patching, and uptime. Its core strength remains structured automation. Autonomous agent behaviour is a different job.
Cloud AI assistants such as Microsoft Copilot and Gemini for Workspace are useful for drafting and summarising inside their own ecosystem, but they process data through the provider's cloud and respond only when prompted; they don't run persistent workflows or monitor an inbox. We compare this category in our Copilot alternative guide.
OpenClaw is an open-source agent framework for private deployment. It runs on infrastructure you control, connects to your channels (email, messaging, CRM), and acts within boundaries you define: monitoring inputs, drafting responses, executing multi-step work. The difference from a workflow builder is the difference between programming a sequence and briefing a colleague.
Agent88 is a managed service. We map your workflows first, then deploy and run a private agent configured for your tools, tone, and review rules, and adjust it as your business changes.
Architecture Matters More Than Features
For most Hong Kong firms handling client data, the deciding question is where data flows and who maintains the system. The feature matrix comes second.
Make and cloud assistants are managed services whose infrastructure your data passes through. For plenty of use cases that is fine: a marketing agency routing social posts through Make has little to worry about. A wealth manager or a law practice handling privileged communications has to think harder about where that data lives.
Self-hosting n8n or OpenClaw answers the residency question but hands you the operations: security patches, uptime, and fixing the agent when an integration breaks at month-end. For a five-person firm with no technical staff, that is a real, recurring cost, and it usually surfaces after the decision is made.
A managed private deployment is the middle path: reviewed data flows, private deployment options, and someone else on the hook for keeping it running. The honest trade-off is that you are trusting a vendor's process instead of your own. That is why we document how our deployments work on our proof page, so you can check the claims before you commit.
The PDPO Question
Hong Kong's Personal Data (Privacy) Ordinance requires practical steps to protect personal data. Using a cloud automation tool typically means a third-party processor handles client data, which creates obligations around processing agreements and cross-border transfers.
Private deployment, whether self-hosted OpenClaw or a managed private agent, shortens the list of third parties touching your data and simplifies that conversation with clients. It does not, by itself, make you compliant: compliance depends on your overall data flows and practices. No single tool changes that. Map where client data actually travels, and confirm the specifics with your legal adviser.
Who Should Choose What
Choose Make if your needs are straightforward SaaS integrations, your data is not sensitive, and you want the fastest setup.
Choose n8n if you need structured automation with data residency control and have someone technical to run a self-hosted instance.
Choose a cloud AI assistant if your team lives in Microsoft 365 or Google Workspace and your use cases stop at drafting and search within those ecosystems.
Choose self-hosted OpenClaw if you need an autonomous agent, your data cannot leave your infrastructure, and you can own the stack. If that describes you, self-hosting is the right call. A managed service would be paying for capacity you already have.
Choose Agent88 if you want intake, drafting, follow-up, and reporting handled at agent level, with data-control options, but nobody in the firm wants to become the server administrator. If you are weighing an agent against hiring for this work instead, our AI agent vs virtual assistant comparison covers that decision.
See One of Your Workflows Mapped
The fastest way to decide is to see one of your workflows mapped end to end, including where the approval points sit and where your data travels. Pick the process that costs you the most evenings and we'll walk through how it would run.
FAQ
Q: We already self-host OpenClaw and it works. Should we switch? Probably not. If your deployment is stable and someone owns the maintenance, you have the hard part solved. Agent88 is for teams that want the same class of private agent without building and running it themselves.
Q: Does an agent replace a workflow builder like Make or n8n? Not necessarily. They solve different problems. Workflow builders handle predictable trigger-and-action tasks well; agents handle work that needs drafting, context, and judgment. Some firms run both.
Q: How does this sit with PDPO? We don't claim blanket PDPO compliance. No vendor honestly can, because compliance depends on your data flows and practices. Agent88 deployments are designed with private deployment options, reviewed data flows, and human approval boundaries, so you can assess the architecture against your obligations. Confirm specifics with your legal adviser.
Q: Will the agent contact our clients directly? Not without approval. The agent monitors, drafts, and prepares; a person reviews anything before it reaches a client. Approval boundaries are configured per workflow at setup.