🕰️ Est. Time: 5 mins
🎯 Goal: Understand how you can use AI with Streamtime now and in the future
🔑 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. Here's where things stand.
🤖 Getting started with AI
What can I do with AI today?
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
💡 Once you export data from Streamtime 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.
What are you building?
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 actively building a public MCP server to open up the possibilities for our customers to synthesise their Streamtime data against data from other tools.
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.
Alongside that, we're also putting together 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 ideas and feedback, and/or beta test for you?
Absolutely! Everything goes to the right people and genuinely shapes what we work on next. Fill in our short form 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. That feedback genuinely helps.
🔌 Connecting with external tools
For the more technically minded, 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.
I don't want to wait! Can I build my own MCP?
You can build your own MCP using Streamtime's API. It requires an experienced developer and time to set up in a way that works for your business. Be aware that using your API key doesn't allow for user level permissions, so whatever you build should only be used by those with full access to your data (Financial, Cost Rates, etc).
Have a question that isn't covered here? We're always happy to chat.