TwinsAI
AI Sequence · Workflows

Workflows shipped by a Forward Deployed Engineer.

Your custom AI workflows — outbound research, lead enrichment, multi-channel cadences, post-call automations — built and operated by an FDE who lives inside your stack until the workflow ships.

Explore Sparkflow Talk to an FDE
1FDE per account
2 weeksfrom kickoff to live workflow
100%owned + maintained for you
Sparkflow
Sequence
Workflow · Outbound to Booked
Enterprise SaaS · Account-based
Live
Contact
Sundar P.
Steps done
0/6
Replies
0
Status
In flight
Cold emailSending
Personalized intro · ROI hook
Step 1
in
LinkedIn connect
Note references their Q3 launch
Wait +2d
AI dial
Parallel dialer · live transfer
Wait +1d
💬
SMS follow-up
"Caught you on LinkedIn — open to 15 min?"
Wait +1d
Bump email
Reply-thread bump · short
Wait +3d
📅
Meeting booked
Thu 2:30pm · auto-logged to Salesforce
Wait +2d
Orchestrated by Sparkflow · Operated by FDE
Demo · live workflow telemetry
The problem

Most AI tools ship a feature. We ship the workflow.

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.

Capabilities

Built for the way revenue teams actually work.

Forward Deployed Engineer

An engineer in your Slack, in week one.

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.

Built on Sparkflow

Production-grade workflow engine.

Your workflows run on Sparkflow — TwinsAI's hosted workflow runtime. Versioned, observable, debuggable. You see every run.

AI agents + humans-in-the-loop

Mix LLM steps with rep actions.

Some steps are agents, some are reps, some are hand-offs. The orchestration layer keeps everything routed, retried, and logged.

Native data plumbing

Salesforce, HubSpot, Snowflake, your warehouse.

FDE wires your CRM, data warehouse, enrichment vendors, and outbound tools so the workflow has the context it needs on every run.

Owned end-to-end

We operate it, not just build it.

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.

Productized + transparent

Hosted at sparkflow-zeta.vercel.app.

Sparkflow is the public-facing product surface for AI Sequence. Browse example workflows, runtime telemetry, and the agent gallery — open in a new tab.

FDE deployment timeline
Run telemetry
Integrations

Plugs into the tools your team already uses.

SalesforceHubSpotSnowflakeApolloZoomInfoClayOutreachSalesloftSlackNotionLinear
FAQ

Common questions.

How is this different from a no-code workflow tool?+

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.

What's Sparkflow?+

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.

Who owns the workflow once it ships?+

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.

What's a typical first workflow?+

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.

Ship the workflow you've been promising to build for a year.

Tell us the workflow. We'll send an FDE. The first one ships in two weeks.