A team shapes each agent
Several people edit one agent within their roles, as drafts; nothing reaches customers until a version is made Live.
Falcon Studio
Your agents, working as your team.
Falcon Studio is where a company builds AI agents that talk to its customers as its own people and places, on every channel, with the team in control.
In a private pilot with a small number of companies. Read our Privacy Policy.
How Falcon bridges the gap
AI teammate products are finished and easy, but built for a team’s own work. AgentCore is the secure, scalable platform, but you have to build the agents. Companies that want customer-facing agents have had to pick one and live without the other. Falcon sits in the middle.
Finished product
AI teammates
- Named coworkers you message
- Do your team’s own work in your apps
- Work through a shared cloud computer
- Each person sets up their own bots
Falcon bridges the gap
Falcon
- Named agents a team shapes without code
- Face your customers as your people and places
- Every channel, approvals, consent and reports
- Runs on AgentCore, in Falcon’s AWS or yours
Platform to build on
Amazon Bedrock AgentCore
- Secure runtime, memory, identity, tools
- Any model or framework
- You write and run the agents
- Built for developers at scale
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From AI teammate products: the finished experience
Named agents you shape in plain words, starters for common jobs, Ask Studio to help, and nothing to code or host.
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From AgentCore: the enterprise platform
Every Falcon agent runs on AgentCore: isolated sessions, managed memory, identity and tool gateway, observability and scale, in Falcon’s AWS account or the company’s own.
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What Falcon adds in the middle: the company layer
Many people configuring the same agents with roles, drafts and a Live version; identities with consent and their own numbers and addresses; every channel with replies routed to the right agent; approvals, spend limits and reports; and all of it on MCP.
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The result
A company gets customer-facing agents working in days, without building a platform and without giving up control of its data, its spend or what gets sent.
What makes Falcon different
Agents act as your people and places
One agent can speak as Dana, the Downtown store or Riverside, each with its own email, number, hours, voice and consent. Identities never sign in to Studio.
Every channel, one conversation
Texts, RCS, email, calls and chat. A reply always finds the right agent and identity, even across channels, and follow-ups only go where the person agreed.
People stay in charge
Drafts wait for approval, agents ask an admin when unsure, and risky actions need confirmation. Nothing is sent that shouldn’t be.
Decisions you can check
Small yes/no and routing decisions use a model built for calibrated answers, with the probability recorded, so they are cheap, fast and auditable.
Everything is on MCP
Anything you can do in Studio, an AI assistant can do through MCP within your access, by design and checked on every build.
Your data, your account
Agents run in AWS, and a company can choose its own AWS account. Reports show counts and cost, never what people said.
Spend you control
Limits, reservations and kill switches on every agent and workflow, so a runaway loop can’t run up a bill.
What teams build
Some of these run today. The ones marked Coming next are specced and on the way, not built yet.
Dating concierge
Love’s Confidant plans dates with members: a researcher, a planner and a booker work at once, a check makes sure the plan is complete, and the plan is texted back.
A store that answers for itself
The Downtown store has its own number, hours and voice. Calls outside hours go to an AI voicemail that takes a message and starts a follow-up.
Front desk for sales and service
One agent greets, looks the person up in past conversations and the CRM, then hands to the sales or service agent.
Email replies with approval
A new email to a mailbox gets a drafted reply that waits in Waiting for you until someone sends, edits or drops it.
Calls turned into reports
A finished Twilio, Zoom or RingCentral recording becomes a transcript, a summary with follow-ups, and a note on the caller’s history.
Sales reps taking turns
New leads rotate between reps who are available, and each customer keeps their rep for later conversations.
A coding agent that commits as your team
An agent makes changes and commits to GitHub as the identity it acts for, with the requester credited.
Help answers from your documents
Agents answer from help articles and policies you upload or connect, and say when they don’t know.
Outreach that respects STOP
Messages carry topics, replies route by keyword or content, and opting out of marketing never stops order updates.
A look inside
Screens from Falcon Studio as it is built today, running on example data in one pilot company’s colours.
Put your agents to work for your customers.
Falcon is in a private pilot. Tell us about your team and we’ll be in touch.
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