Quote-to-Cash Orchestration
Commercial
intent,
preserved.
Most revenue systems pass data across handoffs. Qonductor passes context. That gap is costing you.
The Problem
Three scenarios.
Same root cause.
Your revenue systems are excellent at passing data. They were never built to pass context.
The Promise Nobody Captured
Sales commits to net-90 billing on a discovery call. Legal closes the contract. Finance runs the invoice on net-30. Nobody's lying — the context just didn't survive the handoff.
The Amendment Nobody Told Finance About
A mid-term amendment adds Professional Services. The ink dries, the deal desk files it, and the billing template goes untouched. The customer gets the wrong invoice. The cleanup takes three weeks.
The Renewal Nobody Was Ready For
Your CSM opens the renewal call with no idea what discounts, exceptions, or commitments the original rep made three years ago. The tribal knowledge walked out the door with the AE.
The Solution
The commercial graph your revenue stack never built.
Qonductor combines AI with deterministic logic to build a unified commercial graph across your CRM, quoting, contracting, and billing systems. It understands what was promised, what was contracted, and what is actually being billed.
- ✦Non-invasive — sits above your existing stack without replacing anything
- ✦No rip-and-replace — your current systems stay exactly as they are
- ✦Flags mismatches before they become customer conversations
- ✦Surfaces original commercial intent at every lifecycle handoff
If you've been nodding along, we should talk.
No demo ambush. A quick chat to understand whether this is your problem too.
The Problem, Illustrated
One deal. One exception.
$40,000 of lost revenue.
A real failure pattern — names changed, numbers simplified. If you've been part of a complex enterprise sale, you've seen this.
How Companies Handle It Today
The current solution is human.
It doesn't scale.
And it just gave two weeks notice.
Deal Desk · RevOps · Revenue Accounting
Dedicated headcount whose job is to be the context layer the systems never built. Expensive. Fragile. Gone when they leave.
Tribal Knowledge · Slack Archaeology
If you can find the thread from 18 months ago, and the person who sent it still works here, you might be okay. Might.
Approvals · Auto-rejections · Rigid Templates
Make exceptions so painful that reps stop requesting them. Watch your deal velocity crater in the process.
Customer Credits · Billing Cleanup · Month-End Panic
Find the errors after they happen. Apologize. Fix them. Start the countdown to the next one.
The Pattern
None of these fix the root cause.
They work around it.
The root cause is that your revenue systems were built to store and pass data. Nobody built them to store and pass commercial context. Every workaround above is a human being filling that gap manually.
The Qonductor Approach
Where Qonductor listens.
Commercial intent isn't just in your systems of record — it's expressed in conversations, emails, and calls that never make it into any system at all. Qonductor reads both.
The Product
Qonductor doesn't wait for the conversation to happen.
It prevents it.
This is your problem. Let's talk.
A quick chat. No deck, no demo. Just a conversation about where your handoffs break.
Use Cases
A day in the life.
Every persona on your revenue team inherits the same broken context chain. Here's what that looks like — before and after Qonductor.
Finance & Billing Associate
Responsible for invoice accuracy, revenue recognition, and billing reconciliation. Usually the last person to find out when something changed upstream.
Invoice run day is a guessing game.
It's the last business day of the month. Something looks off — a discount that seems too large, a line item that doesn't match the contract you half-remember from a year ago. You open a Slack thread. You search the shared drive. You find three versions of the order form. You call the AE who closed the deal. He left in March. You send the invoice anyway and flag it for next cycle. The customer calls two days later.
Month close doesn't have to be a fire drill.
Before the invoice run, Qonductor has already flagged the accounts where billed amounts deviate from contracted terms. You see exactly which line items triggered the alert, the original contract language, and the full amendment history. You correct three invoices before they go out. No customer calls. No billing archaeology. No month-end fire drill.
Deal Desk
The human glue between sales, legal, and finance. Their job is to approve the right exceptions — without enough visibility into the downstream consequences of each one.
Herding cats. Every single day.
A rep submits a non-standard payment terms request. You approve it, add a note to the order form, close the ticket. Three months later, finance is confused about why this customer is on different terms. Six months later, a similar request comes in from the same account and nobody remembers the precedent. You're approving in the present with no institutional memory of the past.
Every exception tracked. Everyone aligned.
When you approve a non-standard term, Qonductor logs it as commercial intent — tagged to the account, the deal, and the approving parties. Finance sees it before the first invoice runs. When the same customer returns at renewal, the full exception history surfaces automatically. You're approving with context, not in a vacuum.
Revenue Operations
Responsible for process, data quality, and stack coherence across the full revenue motion. Usually the person who discovers the gaps nobody else owns.
You own the reconciliation nobody wanted.
Every month there's a new data cleanup project. Billing amounts that don't match CRM values. Contract terms that never made it into the quoting system. ACV numbers that finance and sales both believe are correct but don't agree. You build the reports. You run the audits. You manually cross-reference three systems to construct a version of the truth that should have been automatic.
One commercial graph. No more reconciliation theatre.
Qonductor builds a persistent record of what was promised, contracted, and billed at every point in the customer lifecycle. Discrepancies are flagged automatically before they compound. You stop being the manual context layer between systems that can't talk to each other — and start being the person who built the infrastructure that makes reconciliation unnecessary.
GTM & Business Systems Leader
Responsible for the architecture of the revenue tech stack. Understands better than anyone why systems can't pass context — and inherits every downstream failure when they don't.
One wrong move and the whole thing collapses.
You've built solid integrations. CRM syncs to CPQ. CPQ feeds the contract system. The data flows. But the meaning doesn't. Every exception requires bespoke logic. Every workaround is another block on a tower that gets more precarious with every quarter. You're constantly asked why the systems "don't talk to each other" by people who don't understand that they do — they just don't share context.
Ticket queue: zero.
Qonductor sits above your stack as a read layer — no new integrations required, no custom logic per exception pattern. It reads commercial intent at the source and makes it available across systems. You stop being asked to build bespoke context-passing logic and start having architecture conversations that actually interest you.
Sales Leadership
Accountable for revenue attainment and the commitments their teams make in the field. Rarely in the room when those commitments break downstream.
In the CFO's doghouse. Again.
The rep who closed the deal is long gone. But the net-90 terms they promised, the Professional Services credits they committed, the pricing exceptions they granted — those commitments are still alive. They're living in an email thread, a Slack message, an order form addendum that finance may or may not have read. You find out when a customer escalates, or when the CFO asks why billings are below contracted ARR.
114% to target. And everyone knows why.
Qonductor creates a persistent record at the moment terms are agreed — before the rep moves on, before the deal desk files the exception, before finance runs the first invoice. Your team can still make the right exceptions for the right deals. The difference is those exceptions don't disappear into a system that was never designed to remember them.
See your scenario in a live context.
A quick chat. We'll walk through the specific failure mode most relevant to your role.
About Qonductor
Pete Walsh
Founder & CEO
Qonductor was built by someone who spent 11 years as the arbiter between sales, legal, and finance — watching the same breakdowns happen at company after company, with no villain and no fix. Just misaligned incentives, systems that were never designed to talk to each other, and a rotating cast of operators manually filling the gap.
I got fired once for not being able to fix a problem the systems were never built to solve. That stayed with me.
For the first time, AI can read a contract, a quote, and a billing record — written in multiple languages for multiple different systems — and construct a single version of the truth. That's what Qonductor does. Not a replacement for your revenue stack. An orchestration layer that finally preserves what was agreed across every handoff.
If this is your problem too, I'd like to talk.
Get in Touch
I promise not to ambush you with a demo before understanding the mess.
Worth a quick chat? Let's find out if this is your problem too. If it is, we'll figure out what a meaningful next step looks like. If it isn't, I'll tell you that and we'll both move on.