I’d build an AI tool that turns messy client conversations emails, calls, Slack threads into clear, ready to send project updates and invoices. Not another chatbot. A quiet back office assistant for freelancers and small agencies.

The real pain isn’t generating text. It’s chasing context across ten apps, then rewriting it for each client. So many solo operators lose hours every week just reconstructing what happened and what to bill for.

I’d keep it narrow: connect your inbox and calendar, let AI draft a weekly summary per client, flag scope creep, and pre-fill an invoice. You approve, it sends.

• This reply was modified 1 month, 2 weeks ago by  Alexander.

I would focus on feedback handling in an organisation. I once worked at a reception of some company and I hand to manually document the content of each call fro outside the organisation. So I’d focus on a way to automate that.

I believe the more interesting problems right now aren’t about adding AI, they’re about the coordination work nobody automated because it never seemed possible or worth it to try. Things like keeping context consistent across tools a team already uses, or catching the small process gaps that only show up once someone leaves. I’d rather build something that quietly fixes a workflow people complain about than another assistant layered on top of an existing product.

This is a really interesting question because building an AI SaaS from scratch starts with the problem, not just the technology. I’d focus on a painful, repetitive business problem where people spend too much time gathering information, making routine decisions, or following up on tasks. The AI should do more than generate text it should understand the context, take useful actions, and fit naturally into existing workflows. I also think trust would be a major part of the product: users should know what the AI is doing, why it is doing it, and when human approval is needed. The best ideas may come from everyday frustrations that businesses already experience. It’s exciting to imagine what new AI-first products will emerge as these tools become more capable.

AI Follow-Up Agent for Small Businesses

A SaaS that connects to WhatsApp, email and a simple CRM, then actively follows up with leads who showed interest but never completed the next step.

Building my AI SaaS today means ditching the generic wrapper and building a workflow engine that automates an expensive, recurring bottleneck — not just adding a chat box. My idea: an automated compliance and audit platform for regulated SMBs like insurance, healthcare, and finance. The problem I’m solving: these businesses struggle to keep their comms, contracts, and docs compliant with constantly changing regulations. Manual reviews are slow, costly, error-prone, and risky.

I would focus less on building another general AI tool and more on solving a painful workflow that businesses already spend a lot of time on. The interesting opportunities seem to be where AI can actually complete a process end-to-end, rather than just generate text or provide another chatbot. Something like handling repetitive customer requests, updating systems, preparing reports, or moving information between tools.

I’d probably look for a problem where people are still doing a lot of repetitive work manually, rather than just adding another AI chat interface. Something that can take a messy workflow from start to finish would be more interesting to me. The AI should actually remove steps from the process, not just make the existing process slightly faster.

I’d be more interested in building something around a very specific industry problem rather than trying to make a general AI product. For example, taking one annoying task that teams deal with every day and making the whole process almost automatic. Finding a problem where people already spend time and money would probably be the first thing I’d look at.

Maybe start with a problem that already costs businesses a lot of time or money, rather than starting with the AI insurance itself.For example, something that handles a repetitive workflow from beginning to end—collecting information, making decisions within clear rules, taking actions, and escalating exceptions to a human.The key for me would be having a clear outcome that can be measured. “Uses AI” isn’t really the value; reducing response time, recovering missed leads, or removing hours of repetitive work is.I’d also want to validate the workflow with real users before building too much.

• This reply was modified 1 month, 2 weeks ago by  Chiamaka.

I would build around a problem where the AI can actually take action, not just give recommendations. There are plenty of tools that can summarize, write, or answer questions now. The more interesting opportunity is taking a messy workflow and turning it into something that gets completed with minimal human involvement. I would probably start with one very specific business problem, make the AI extremely reliable at solving it, and expand from there.

I’d focus less on building “another AI tool” and more on finding a workflow where AI can genuinely remove a painful, repetitive bottleneck. The strongest opportunities seem to be in areas where the agent can actually take action rather than just generate information, handling support requests, processing operations, qualifying leads, managing internal workflows or turning messy business data into decisions.

If I were building something today, I’d seriously consider an AI scraper that doesn’t just collect data, but actually makes sense of it. A lot of businesses still spend time checking websites, prices, job listings, product changes, or competitor updates manually. A scraper that could watch those sources, clean up the information, spot what changed, and only surface what actually matters could be really useful. That feels more practical to me than building another general AI assistant.

The biggest opportunity might be in workflows that people have simply accepted as “just part of the job.” Rather than adding AI to another existing SaaS dashboard, I’d look for a process where users are constantly copying information between tools, making repetitive decisions and waiting for tasks to be completed. If AI can own that workflow end to end while still keeping humans in control when needed, that feels like a much stronger foundation for a SaaS product than AI being just another feature.

I’d look for tasks where people spend a lot of time collecting information, making decisions, or doing repetitive work. If AI can reduce that friction in a way that’s actually measurable, that feels like a strong starting point for an AI SaaS.

• This reply was modified 1 month, 2 weeks ago by  Christopher.