Doing it in-house
- 4–6 months to hire and ramp
- $150–300K fully loaded, 18-month avg tenure
- When the rep leaves, the pipeline leaves too
Shipped for clients
ICP / Persona / Variable
On sales-related admin/prep per rep
With your ICP (on average)
The companies pulling ahead aren’t just experimenting with AI. They’re rebuilding their go-to-market systems around it. The result isn’t marginal improvement. It’s structural advantage.
B2B winners running AI-assisted sales systems posted double the revenue growth of laggards in 2024.
Bain & Company/ 2025
Average revenue lift reported by B2B sales orgs after embedding AI into their go-to-market motion.
McKinsey/ 2025
The average B2B sales rep now takes 9 months to reach full productivity.During that ramp, the costs are real and the return is theoretical. Salary, recruitment, onboarding, tooling, management time. The constraint on performance isn’t the calibre of the hire. It’s the environment they walk into — one without the data, tooling, and signal infrastructure a modern seller needs to produce a return.
The average B2B salesperson spends less than 30% of their week actually selling.The rest goes to research, admin, internal meetings, and follow-up. The work that closes deals gets squeezed into whatever hours are left. Output looks like spikes and recoveries, not steady performance. Without leverage, even strong reps can’t produce predictably enough for the pipeline to compound.
More than 60% of meetings booked by outsourced lead gen are disqualified by the sales team that receives them.The model isn’t broken because agencies are bad at their job. It’s broken because the work runs as a black box. The conversations never reach your CRM, the learnings never reach your team, and the few meetings that land arrive without context. You’re paying for output, not capability.
The average B2B sales team now manages more than 10 separate tools.A prospecting tool here, an outreach tool there, a CRM somewhere in the middle, a stack of subscriptions in between. Each was bought to solve a specific problem. None were bought as parts of a system. The data doesn’t flow, the work doesn’t compound, and the team becomes the integration layer the software should have been.
GTM investment is going to specialist tools. Companies are building software that does one specific thing exceptionally well.
No all-in-one platform does everything well. Buying one means accepting a worse version of every capability it covers.
The leading tool in any category changes fast. What's best today is often outpaced within twelve months.
The answer is to use the best specialist tool for each job, connected into one working system. Each tool is a module. When something better comes along, you swap that module out. The rest of the system keeps running.
Here's how we stack up against what most founders compare us to.
From first call to live system to ongoing partnership. Four phases. Each tied to clear outcomes.
Free diagnostic call, deeper scoping session, then The Blueprint. 40–60 pages of diagnostic findings and system architecture.
Our engineering team executes against the Blueprint. Custom integrations, AI agents, signals infrastructure, outbound systems, plugged into your CRM.
System goes live. Your team is onboarded. Fortnightly strategy calls begin. Meetings start landing on your reps' calendars.
Quarterly performance reviews. System refinement. New modules layered in as the business grows. The engagement compounds.
We design the strategy. We build the system.
Consultants hand over a plan. Engineers hand over a tool. We do both — the thinking and the shipping live on the same team, so the strategy you agree to on Monday is the system running your business by month-end.
30-minute video call. No pitch. We walk through how you sell today, where the leaks are, and what we'd design and build first. You leave with 2–3 specific opportunities, even if we never work together.