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đŻ Goal: Understand how you can use AI with Streamtime now and in the future
đ Requirements: Available to all customers
AI tools are changing how a lot of creative teams work, and many of our customers are already experimenting with them alongside Streamtime. If you're one of them (or just curious), this is a good place to start.
AI isn't something we're rushing into. Like everything we build, we want it to genuinely support the people using Streamtime. Our mission is to help creative businesses thrive, and any AI we introduce has to actually serve that. That said, we're actively exploring, building, and listening. There are a few ways you can currently use AI with your Streamtime data.
đ¨ Manually bring your data into your AI tool
The simplest way to get started is by bringing your Streamtime data into an AI tool like Claude, ChatGPT or Gemini manually; no technical setup needed.
This might look like:
Exporting a report from Streamtime and asking an AI tool to summarise it, spot patterns, or draft insights for a client update
Copying budget, spend and invoice data into an AI tool and asking it to benchmark your price and profitability within your industry
Using AI to draft notes, status updates, or project briefs based on information you already have in Streamtime
đ Connect your Streamtime with our public MCP
MCP (Model Context Protocol) is an open standard that lets AI assistants connect directly to external tools and data sources. In practical terms, it means you could ask Claude or another AI tool a question and have it pull live data from Streamtime to answer, rather than you having to export and paste anything manually.
Prefer a live link from your Streamtime to your tool? Deep in Claude scheduled tasks, and want to include Streamtime data? We currently have our public MCP server in beta to open up the possibilities of synthesising Streamtime data with data from other tools. We've released this to a small group of customers already, and it's open for anyone to join. During this beta period, you may experience interruptions as we push updates to improve.
âĄď¸ Other ways to connect with external tools
It's also possible to build your own automations and AI-powered workflows on top of Streamtime's API, whether that's connecting your data to automation platforms, language models, or other tools in your tech stack.
Can I automate workflows between Streamtime and other tools?
Yes, and this is where things start to get more powerful. Streamtime works well using Zapier, a third-party tool that connects Streamtime to hundreds of other apps and automates tasks without writing any code.
If you're interested in building something more advanced or with a tool that isn't currently available on Zapier's Streamtime list, experienced developers can build bespoke integrations.
đŽ What's next?
As with any feature we build, there are a lot of varying requests and needs from the different businesses that use our tool. It's important to us that we explore this carefully and thoughtfully. We want to understand what will actually shift things for creative businesses, not just ship something because it uses AI.
We're now working on a native AI assistant within Streamtime; one that understands your Streamtime data well enough to answer real questions about it, like how a job is tracking or where your team's time is going, and over time, help you act on it too. The dream? Let AI remove some of the manual tasks so that Streamtime can work better for you and help your creatives stay creative.
Can I share my AI ideas and feedback, and/or beta test for you?
Absolutely, we're always keen to hear how our customers are using or would like to use AI! Everything goes to the right people and genuinely shapes what we work on next. Send us an email at help@streamtime.net and we'll take it from there.
Is there an AI assistant I can ask questions?
Yes, and you may have already come across Fin, our AI-powered support assistant. Fin draws on our help centre content, previous answers from our team, and specific support questions we've trained it on, so responses carry a bit of the Streamtime consultative lens you'd get from someone on our team.
It's great for getting quick answers about how Streamtime works, finding the right help article, or getting unstuck when our team is offline. And if you'd rather talk to a human, just ask at any point.
We review conversations regularly to keep refining things, but if something doesn't land right, please let us know.
đĄ Don't forget: once you put your Streamtime data into an external AI tool, how that tool stores and uses your data is down to them, not us. Some tools use inputs to train their models, so it's worth checking their terms and your settings before you share anything sensitive. Any data shared externally is your responsibility. Streamtime does not use customer data to train any large language model.
Have a question that isn't covered here? We're always happy to chat.