ClawEase
An AI business operator that books appointments for SMBs.
128 followers
An AI business operator that books appointments for SMBs.
128 followers
Clawease is an AI business operator for SMBs that captures customer inquiries, checks availability, books appointments, and sends confirmations across phone, WhatsApp, and web forms. It helps appointment-driven teams respond faster, reduce admin work, and convert more inquiries into booked appointments.
ChatWebby AI
The workflow-learning angle is what makes this stand out to me —most "AI booking" tools fall apart the moment a business doesn't have a clean calendar to plug into. One thing I'm curious about: when inquiries come in simultaneously across phone, WhatsApp, and a web form, how does ClawEase handle the race condition on availability? Curious whether it locks a slot the moment it's offered, or confirms against the source of truth right before sending the confirmation
ClawEase
@zain_sheikh that’s exactly the kind of edge case ClawEase is designed around.
ClawEase first learns the business’s PMS scheduling logic and how to operate its booking interface, rather than depending only on a clean calendar integration. During the conversation, our system interacts with the live booking data in real time, so availability is checked dynamically as the user is discussing time options.
For simultaneous inquiries across phone, WhatsApp, and web forms, the key is that ClawEase does not treat a previously shown slot as final without checking the current source of truth again. Once the user agrees on a time, the system proceeds through the booking workflow and then sends an SMS confirmation with the final appointment details.
So it’s closer to confirming against the live source of truth before confirmation, while following the PMS’s own scheduling and booking behavior.
Interesting approach. When you say it can learn existing workflows, does that mean it can work with custom internal processes, or does it require predefined integrations and setup?
ClawEase
@neri_zavadil Great question — it can support both, depending on the workflow.
For standard integrations we’ve already connected before, we can reuse existing setup patterns, so implementation is much faster.
For custom internal processes, our current focus is web-based workflows. ClawEase can use AI-driven browser exploration to learn the specific steps in an existing web process, then help configure automation around it, even when there isn’t a predefined integration available.
One of the open-source components we use in this area is browser-control, which enables AI agents to control real Chrome through a local daemon and browser extension: https://github.com/yunkeCN/browser-control
So predefined integrations are the fastest path, while custom web workflows can be handled through AI-assisted exploration and setup.
an AI thats taking real actions like booking and confirming based on parsed input from phone, whatsapp, and web forms is exactly the setup where a manipulated input could trigger an action it shouldnt. cool concept, just make sure its scoped tight before SMBs trust it with real customers
ClawEase
@abdullah_bin_asad Thanks for the thoughtful feedback — totally agree.
During learning, ClawEase’s exploration range is constrained, and it needs to verify outcomes by itself before forming an executable skill. The goal is not to let it freely take arbitrary actions, but to help it learn a reliable, validated workflow within a clearly defined boundary.
Also, after the learning process is completed, the learned skill is visible and inspectable. It’s not a black-box behavior hidden inside the AI. Users can see what was learned, understand what actions it can perform, and decide whether it should be trusted or adjusted before being used with real customers.
We’re also continuously optimizing and improving ClawEase from a safety perspective, especially around action boundaries, verification, and user control.
ClawEase
Many appointment-driven SMBs still handle customer inquiries across phone calls, emails, WhatsApp, and website forms, but rely heavily on manual scheduling work.
We built ClawEase to help automate that workflow.
ClawEase is an AI business operator for SMBs that captures inquiries, retrieves the right information, checks availability, books appointments, and sends confirmations automatically.
What makes ClawEase different is that it is not just a chatbot. It can learn existing web-based workflows — where information lives, how availability is checked, and what steps are needed to complete a booking — then bring that operational knowledge into AI conversations so the AI can actually take action.
This means ClawEase can support businesses that do not yet have a booking system, while also helping teams with existing systems add AI-powered appointment booking with minimal integration effort.
Our goal is to help SMBs respond faster, reduce admin work, avoid missed booking opportunities, and convert more inquiries into confirmed appointments across channels like phone, email, WhatsApp, and web forms.
We’re launching on Product Hunt to get feedback from founders, operators, and appointment-driven teams. We’d love to hear: which part of your appointment workflow would you most want AI to handle first?
Thank you for checking out ClawEase!
@clawease It is named ClawEase, is it built on or based on Openclaw?
ClawEase
@seano72 No, we’re not based on OpenClaw.
In the early stage, we built on OpenCli, but later we shifted to automatic learning through a browser extension. This is the open-source project we’re currently working on:
https://github.com/yunkeCN/browser-control
This is a great idea!!! I have actually built around this idea and the idea of slots. Long story short, the next frontier is M2M incoming requests. There was an unofficial stat I saw where many of the top ranking SMB's get automated calls from Google for quotes but primarily do not even pick up and the stat is staggering. So instead of designing around human incoming leads, I would definitely prepare this for more M2M incoming leads too. And honestly, this a huge selling point by building around the exact workflow it uses and beating it to the punch in terms of timing. There are some nice little gems you can do in the workflows. I don't mean Google Gems. Think of designing the answering for M2M too :-)
ClawEase
@dom12 Thanks for sharing this. I really like the M2M angle, especially around automated quote requests and timing. This is definitely a real pain point for SMBs, and it’s worth thinking about how we can create a better experience for customers from this angle as well.
The workflow-learning part is what makes this interesting. Many SMBs don’t have clean booking systems, so an AI that can understand existing steps and actually complete appointments feels more practical than a basic chatbot.
ClawEase
@farrukh_butt1 Thanks Farrukh! You hit the nail on the head. That’s exactly why we built ClawEase—to go beyond basic chatbots and actually close the loop for SMBs. Appreciate the support! 🙌
ClawEase
We built ClawEase to help appointment-driven SMBs move beyond outdated booking workflows: missed calls, scattered messages, and manual back-and-forth. The goal is simple: let teams capture inquiries, check availability, and confirm appointments faster across the channels their customers already use.