
Labs projects are released to a small group of customers first while we refine them. If you’d like early access to something here, speak to us.
How we build Labs
We see LLMs as useful at three levels, and we build deliberately across all of them:- Slotted into specific product flows, for example turning a contract into structured data.
- Running guided automations with human oversight: multi-step workflows with tools, review, and audit.
- Operating autonomously, where the guardrails are strong enough to let an agent run on its own.
The quality of your tools matters
Tools, context, and feedback loops are the biggest differentiators.
Keep humans in the loop
Someone has to see what the agent did, why, and have a path to override it.
Smallest useful scope first
Every agent should do one specific job before we widen its remit.
Measure everything
“Vibes are good” isn’t enough. Track quality, latency, and cost at every layer.
Prototypes
MCP server
Expose your Sequence data to AI clients like Claude as a set of tools, so an assistant can fetch and reason over your billing data in response to a prompt.
Contract intake agent
Automatically extract customer details, pricing, and billing terms from a signed contract and set up the customer and billing schedule for review.
Get involved
Labs gets sharper when the people who’d actually use these agents push back.Book a demo
See how Sequence agents work with your billing workflows.