A workforce of AI workers, one per job your team cannot staff
A human customer team costs a hundred to three hundred thousand a year and still cannot talk to everyone. Boom gives you the output of that team as a set of AI workers: each one owns a job across the customer journey, all share one memory of your customers, and you pay for the work, not the headcount.
Five workers, one shared memory of your customers
Teams almost always start with the Researcher, because it tells you where the revenue actually leaks. From there the same workforce takes on the rest, carrying everything it learned with it.
- 01
Researcher
Talks to your customers at scale to learn why they stay, why they leave, and what they would pay for. This is the wedge: where most teams start.
- 02
CSM
Health checks, NPS, win-back, and dunning by decline reason. Keeps customers before they go quiet and tells you why they left.
- 03
Onboarder
Activation, post-signup intake, document collection, and KYC. Walks every new customer to first value without a human chasing each one.
- 04
Sales Closer
Abandoned-cart recovery, cross-sell, checkout links, and quote-to-close. Captures the follow-up revenue your team never gets to.
- 05
Operations Auditor
Re-KYC, data refresh, compliance reviews, and annual reviews. The recurring customer-facing work that piles up, worked down continuously.
One agent, the full lifecycle, one memory
The roles are not five separate tools you stitch together. They are jobs the same workforce takes on, so the context follows the customer. The win-back conversation knows what they told research. The cross-sell knows what they already use. The save knows what onboarding never finished.
You give a brief, not a flowchart. Boom navigates the conversation itself and improves from your team feedback, so each role gets sharper as it learns more about your customers, instead of starting cold every time.
- Start with one role, prove it, add the rest
- Shared context across every role and every channel
- You keep the data and the decision, Boom runs the conversation
The work a human team cannot reach, done at scale
- 15 in 2 days
A lending team ran 15 effective customer interviews in two days with the Researcher, versus 2 done by hand in a full week.
Customer research pilot, lending
- 25 to 30%
A healthtech win-back reached inactive customers at a 25 to 30% response rate, the people a one-way notification never wakes.
Research deployment, healthtech
- 502 contacts, 50% reply
A DTC e-commerce team reached 502 customers in a research run and saw half reply and engage in conversation.
Research demo, DTC e-commerce
Questions teams ask first
See the workforce on your own customers
Book a 15-minute walkthrough and we will run the role that matters most to you, starting wherever the revenue is.