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Today, I wanted to see how far an AI agent could go if I gave it a real business instead of a predefined automation. I entered binayah.com into Awish.ai. Binayah is a real estate company, and instead of telling Awish.ai exactly what workflow to build, I asked it to analyze the business first and find an automation opportunity. It suggested a customer acquisition funnel, which I reviewed and approved. Around 10 minutes later, the automation was ready. Step-by-step: 1. I entered binayah.com into Awish.ai. 2. Awish.ai agents analyzed the website and how the business operates. 3. Awish.ai identified customer acquisition as an area that could be automated. 4. It suggested a funnel designed to capture and qualify potential leads. 5. I reviewed the suggestion and approved it. 6. Awish.ai created the workflow and connected the required steps. 7. The funnel was ready to use in around 10 minutes. What I find most interesting is that I didn’t start by designing a workflow. The system first understood the business, found an opportunity, suggested what should be automated, and built it only after I approved. That feels much closer to having an automation consultant inside the product than using a traditional workflow builder.

I built an Awish workflow that handles a support ticket before anyone on the team opens it. I realized support tickets were not just taking time to answer. Someone still had to understand the problem, decide how urgent it was, search the documentation, route it to the right person, and prepare a response. I wanted that first layer of support work to happen automatically. I opened Awish and wrote: “Whenever a new support ticket comes in, understand the issue, determine its urgency, check our documentation, prepare a response, create a Jira issue if it looks like a product bug, and escalate anything important to the team before taking customer-facing action.” Awish understood the request, planned the workflow, and showed me which applications it needed. Step-by-step: 1. I described the complete support process I wanted in the Awish chat. 2. Awish planned the workflow and selected Zendesk, Notion, Jira, and Slack for the required steps. 3. I connected my accounts and approved the automation plan. 4. When a new Zendesk ticket arrives, the workflow identifies the issue type, urgency, and customer intent. 5. It checks the relevant Notion documentation and prepares a response based on the available information. 6. If the issue looks like a product bug, it creates a Jira ticket with the customer context already attached. 7. Urgent or sensitive cases are escalated to the team instead of being handled automatically. 8. I connected WhatsApp from the Awish chat. I now receive workflow updates there and can manage the automation without opening Awish. Customer-facing actions still stay under my control when approval is needed.

I conducted a workflow experiment with Awish, the product I built, and the results surprised me. I think this approach could be useful for anyone who wants to automate more of their business but is not sure where to start. I gave Awish my website, and it identified the automations my business was missing. The difficult part was not always building a workflow; it was figuring out which tasks were worth automating first. I opened Awish and asked: “Analyze my business from awish.ai, suggest automations that could improve how I work, and only build them after I approve.” Awish’s agents analyzed the website to understand what the business does, how customers interact with it, and where repetitive work could be automated. Instead of asking me to design a workflow from scratch, Awish suggested several automations based on the business. One suggestion was a lead workflow that finds relevant prospects and automatically prepares and sends personalized outreach emails. Another was a website inquiry workflow that analyzes new customer requests, identifies what they need, and sends me the important details as a WhatsApp notification. It also suggested a content workflow that creates and publishes posts for Instagram, X, and LinkedIn based on the business and its content strategy. I chose the lead generation and automated email workflow. Step-by-step: 1. I opened the Awish chat and asked it to analyze my business from awish.ai, suggest automations that could improve it, and only build something after I approved it. 2. Awish’s agents analyzed the website and identified repetitive sales, customer communication, and content tasks that could be automated. 3. Awish suggested a lead generation and email outreach workflow, a website inquiry analysis and WhatsApp notification workflow, and a social content workflow for Instagram, X, and LinkedIn. 4. I selected the lead generation and automated email workflow. 5. Awish’s agents understood the request and created the workflow plan, including how leads should be found, what information should be collected, and how personalized outreach should be prepared. 6. Awish selected the applications needed for the workflow and showed me the connections before anything was built. 7. I approved the plan and connected my personal accounts to the required applications through the sign-in flow instead of manually setting up each integration. 8. Awish built the automation within minutes, so new leads could be identified, researched, and contacted through the workflow without me having to design each step manually. What I like about this approach is that I do not need to know the exact automation I want before I start. I can begin with the business itself, let the agents identify useful opportunities, choose the one that makes sense to me, and then approve the build.