From inquiry to signed proposal, without the assembly work
Your people should be negotiating and closing. Everything upstream of that — reading the inquiry, checking availability, building the package, chasing the follow-up — is work software should be doing.
Here is how the work is actually won: a producer sends four inquiries at once, to you and three competitors. The first credible answer — priced, availability-checked, professional — usually takes the deal. Right now, how fast that answer goes out depends on who happens to be at a desk. Revenue operations makes speed structural instead of lucky.
AI inquiry intake
Every inquiry — email, form, forwarded text — is read, parsed and structured the moment it arrives. Dates, quantities, venue, budget signals and urgency are extracted into a record your team can act on instead of a message waiting in someone's inbox. Example: a Friday-evening inquiry for a two-hundred-guest wedding is already a structured opportunity, with dates checked, before anyone opens a laptop.
Instant draft proposals
The system assembles a priced draft against live availability — what you actually have, where it is, and what it is already committed to. Your salesperson reviews and sends instead of building from scratch. Example: an inquiry that used to wait a day for a quote gets a credible, availability-checked draft in minutes.
Lead scoring on your own win data
Not a generic model — scoring trained on which inquiries your business has actually won and lost. It tells your team where to spend the next hour, and it gets sharper with every closed deal. Example: two inquiries arrive together; the one matching your historical win profile is flagged first.
Automated pursuit
Quotes that go quiet get followed up on schedule, in your voice, until a human should take over. Nothing slips because someone was on a job site. Example: a proposal unanswered for three days triggers a follow-up your team approved once and never has to remember again.
CRM and pipeline
Every client, deal, activity and document in one place, with a pipeline that reflects reality because the system — not manual data entry — keeps it current. Example: the Monday pipeline review takes ten minutes because nobody is reconstructing last week from memory.
Quote-to-book analytics
Where inquiries come from, how fast you respond, what converts and at what margin — measured continuously, not assembled quarterly in a spreadsheet. Example: you learn that inquiries answered within an hour close at twice the rate, and can now prove it.
Deliberately human
Pricing approval, negotiation and the relationship stay with your team. We automate the assembly work around a sale — not the selling. The system exists to put your best people in more conversations, better prepared, not to replace them.
Quartermaster in revenue
Ask what's still unanswered from this week, have an invoice created, or get a draft follow-up sent from your own address — Quartermaster works across your live client, job and pipeline data.
Questions, answered
Will this replace our CRM?
It can, but it does not have to. Our automation bridge sits on top of the systems you already run, so nothing has to be ripped out on day one. Some clients keep their CRM and let us automate around it; others consolidate onto our platform once they trust it.
How long until it's live?
You see working software inside the first thirty days of an engagement. Inquiry intake and draft proposals typically come first because they pay back fastest; the full revenue system builds out over the first ninety days.
What happens to inquiries it can't parse?
They route straight to a person, flagged as unparsed, with the original message attached. Nothing is silently dropped, and every miss is reviewed so the intake gets better on your actual inquiry traffic.
Who approves what the system sends?
You do. Pricing approval, negotiation and the client relationship stay with your team — the system drafts and assembles, and nothing goes out without the approval rules you set.
Part of the full system: see Delivery Operations for the fulfillment side, and AI Marketing & Search for how the inquiries arrive in the first place. Or start with all services.
See what your operation looks like with the software layer in place
Half a day with your operations and sales leads, and a fully scoped proposal within a week of it.