You don't need another platform. You need the lead-enrichment-to-outbound-to-meeting-booked flow that your team has been hacking together in five tools. AI Sequence is delivered as a service: a TwinsAI Forward Deployed Engineer sits with your team, builds the workflow, integrates it, and stays on to operate it.
A senior engineer joins your channels, ships the first workflow within two weeks, and stays on as long as you need them. Not a CSM with a runbook — an actual engineer.
Your workflows run on Sparkflow — TwinsAI's hosted workflow runtime. Versioned, observable, debuggable. You see every run.
Some steps are agents, some are reps, some are hand-offs. The orchestration layer keeps everything routed, retried, and logged.
FDE wires your CRM, data warehouse, enrichment vendors, and outbound tools so the workflow has the context it needs on every run.
The workflow is monitored 24/7 by the FDE team. Failures wake us, not you. Workflow changes ship via the FDE, not by the customer.
Sparkflow is the public-facing product surface for AI Sequence. Browse example workflows, runtime telemetry, and the agent gallery — open in a new tab.
AI Sequence is a service, not a tool. You're not building anything yourself. A TwinsAI engineer lives inside your stack, ships the workflow, and operates it as production infrastructure.
Sparkflow is the workflow runtime that AI Sequence ships on. It's the public product surface — sparkflow-zeta.vercel.app — where you can see live example workflows and the agent library.
TwinsAI operates it. You see every run, every failure, every output — but you don't have to wake up at 3am when an enrichment vendor's API breaks.
Most teams start with: lead-enrichment → AI-personalized outbound email + dial → meeting booked → post-meeting CRM hygiene. We ship the first one in 2 weeks, iterate from there.