Sales
The way you win work, built into software
Your pipeline lives in a spreadsheet, your pricing rules live in one person's head, and every quote gets rebuilt from scratch. We design, build, and run a sales system modeled on how you actually move a deal from first contact to signed, and we are paid out of what that system helps close.
The problem
What this costs you today
- 01
Reps track their deals in personal spreadsheets, so the number leadership sees on Friday is stitched together by hand and already out of date.
- 02
Every quote is rebuilt from the last one someone can find, which means pricing drifts, margin leaks, and no two reps quote the same job the same way.
- 03
The rules that decide what a customer pays, the volume breaks, the freight assumptions, the discount a rep can give before someone signs off, live in one veteran's memory instead of anywhere the system can enforce.
- 04
Approvals sit in an inbox for two days because nothing tells the manager a deal is waiting, and the customer takes the delay as a no.
- 05
When a rep leaves, the pipeline leaves with them, and the new hire inherits an undocumented process nobody wrote down.
What we build
Custom CRM, built around you
A pipeline modeled on your real sales motion
We build the stages, fields, and rules your deals actually pass through, not the generic stages a bought tool forces on you. A qualified lead, a shaped opportunity, a quote in review, a deal at the approval gate: each stage means something specific to how you win, and the system holds every rep to it.
Quoting wired to your pricing logic
The quote is generated from your live pricing, your volume breaks, and your cost inputs, not retyped from a stale template. The number a rep sends is one the system built, so it is defensible, consistent across the team, and traceable back to the inputs that produced it.
Approvals that route themselves
Discount thresholds, margin floors, and sign-off rules are encoded, so a deal that needs a manager reaches one the moment it is submitted, with the full context attached. Nothing waits in an inbox, and nothing slips past the gate because a rep was in a hurry.
Forecast and win-rate reporting that is always current
Coverage, conversion by stage, average discount, and rep performance read straight from the pipeline as it stands right now. Leadership stops asking three people to rebuild a spreadsheet and starts looking at one screen that is never a week behind.
A clean migration of your deals and history
We pull your contacts, open deals, and closed history out of spreadsheets or your current tool, map them to the new model, and validate them, so the forecast is trustworthy from the first day the team logs in.
The intelligence layer
Agents that know how your business runs
A chat window bolted to the side of your software knows nothing about your operation. We build the platform and the model context underneath it together, so the agents work inside your data rather than guessing at it from the outside.
An MCP server that hands your pipeline to agents as real tools
We build a Model Context Protocol server that exposes your deals, accounts, quotes, and pricing rules to AI agents as first-class tools, not a chat box guessing from a paragraph of text. An agent reads and writes the actual system of record, so what it does to a deal is a real, logged action, not a suggestion someone copies over by hand.
Agents that draft the quote and hold the margin line
An agent prices a new opportunity against your live cost inputs and volume breaks, drafts the quote, and flags the ones that fall below your margin floor before a rep ever sends them. It works inside your pricing rules, so it will not approve a discount your deal desk would reject, and it logs why it priced the way it did so the number can be audited later.
Lead scoring and next steps that show their reasoning
Because the agent reads the whole pipeline, it can score an inbound lead against the deals you have actually won, surface which stalled opportunities are worth a call this week, and say why. Every decision is written to an audit trail, so a manager can see the reasoning behind a ranking instead of trusting a black box.
How it goes
From the first call to the platform
- 01
We map how you win
Before any code, we sit with your reps and your deal desk and trace a real deal from first contact to signed, including the pricing judgment and the approval that lives in someone's head. That map, not a template, is what the system gets built on.
- 02
We build the pipeline and the quoting engine
We stand up the stages, the data model, and the pricing and approval logic in working increments you can react to, starting with the part that is costing you the most deals. We migrate your existing pipeline in clean so the team is working from real data.
- 03
We wire the agents into the data
We build the MCP server and the agents that draft quotes, score leads, and watch the margin line, and we set the thresholds for what runs on its own and what a person signs off. They go live inside the same system your team already works in.
- 04
We run it and keep tuning it
We host and operate the platform, watch how deals actually move through it, and adjust stages, pricing rules, and agents as your sales motion changes. Improving it is the work, not a change order.
After launch
It does not end at go-live
After launch, your reps work one pipeline instead of ten spreadsheets, every quote comes out of the same pricing logic, and a deal that needs approval reaches the right person the moment it is submitted. Leadership reads forecast and win rates off a screen that is current, and the pricing knowledge that used to walk out the door with a departing rep now lives in the system. Because we own and run the platform, we keep tuning it as your pricing, your team, and your market move, and we are paid out of the revenue it helps you close. That is why the relationship does not end at launch: the better your sales system gets, the better both of us do.
Questions
The questions worth asking early
- How is this different from buying a CRM off the shelf?
- A bought CRM gives you generic stages and a text box, and you bend your sales process to fit it until the data goes stale because nobody wants to fill it out. We build the pipeline, the quoting, and the approval rules around the way you actually win work, and we run it for you. It fits your process instead of fighting it.
- Do we own the CRM at the end?
- No, and that is deliberate. We design, build, host, and run the platform, and we take a share of the revenue it helps produce, which is what lets us carry the engineering risk and keep improving the system instead of invoicing and leaving. You keep your customers, your relationships, and your data. What we own is the machine that runs the pipeline.
- Can it price and quote using our own rules?
- Yes, that is the center of it. We encode your pricing, your volume breaks, your cost inputs, and your discount thresholds so the system builds a defensible quote and enforces the margin floor. The rules stop living in one person's head and start being something every rep and every agent has to follow.
- Will it connect to the tools we already sell with?
- Yes. We wire the pipeline into your email, calendar, and the systems that hold your cost and customer data, so a rep is not copying information between tabs. The CRM reads from and writes to the tools around it, and the AI agents work inside that same connected data.
- What happens to our existing pipeline and deal history?
- We migrate it. We pull your open deals and closed history out of spreadsheets or your current tool, map them to the new model, and validate them before go-live. Your forecast and win-rate reporting are accurate from the first day, not a blank slate.
The first conversation costs an hour.
We take on a small number of partnerships, because we carry the engineering risk on every one. The first call is where we both find out whether this is one of them.