The AI-Native Sales Operations Playbook for B2B Companies.
AI-native sales operations see up to 4x the per-rep productivity of their competitors. Answer 5 questions and get a roadmap built for your business, team size and stack.
Your team already uses AI.
So why hasn’t productivity increased?
Most companies give every rep access to Claude or ChatGPT and trust it will improve their productivity. But that is not enough, for three reasons:
AI is decentralised, so nothing compounds.
Every rep builds their own prompts and GPTs. A sales manager might try to share what works across the team, but with no versioning, no shared context and no continuous improvement, the good ideas stay stuck in pockets. Nothing compounds.
No company context, so AI output feels generic.
Off-the-shelf AI doesn’t know your ICP, your positioning, or how your customers talk. So it gives you the same generic output it gives everyone. No context layer, no real productivity gain.
No strategy, so AI lands where it won’t move the needle.
AI gets rolled out with no plan behind it. Nobody decides where it would actually be impactful, so things get built because someone had time or saw a demo that looked good, not because that is where your sales operations are leaking. Effort goes where the ROI isn’t.
The numbers behind why AI-native sales orgs are pulling away.
What’s in your AI-native sales operations playbook
Five sections, built for your category, sales team size, ACV, and AI maturity.
Where you stand today
A clear read of how your sales org operates with AI right now, with the specific signals that put you there. The size of the gap to AI-native, and what closing it is worth in dollars.
The 5 decisions to AI-native sales operations
The decisions that determine whether AI compounds across your team or stalls, called for your category, ACV, and team size. No abstractions, just the calls to make.
Your build vs buy list
A specific list of what to buy and what to build for your stack. Run through the five-question framework: uptime, customisation, ROI, intelligence ownership, competitive advantage. Clear calls, not maybes.
Your 90-day jump
Three concrete moves to make this quarter, sequenced and prioritised, chosen to build rep momentum before you change anyone’s workflow.
The math for a business your size
What AI-native operations are worth in dollars for a business your size, from ARR per rep to the win-rate and ramp gains to plan for.
Five stages from scattered AI to compounding sales operations.
Individual experiments
Some reps and RevOps people build their own custom GPTs and skills. Markdown files get Slacked around. Early adopters get visibly more productive, the rest don’t. Most B2B sales orgs sit here today — and they stall here, because the good ideas stay trapped in pockets.
The quiz places you on this curve.
The playbook tells you how to get one stage higher in 90 days.
Teles
Founder, BYST
Rui has done this before. Ex sales leader at Brevo, who built a mid-market team from zero, helped scale the Enterprise line from €4M to €20M ARR. Technical enough to ship the systems himself: built and deployed the AI agents 25+ reps use daily. MBA, ex-consultant at Atos.
The combination most B2B sales orgs struggle to hire, an ex sales leader with the technical depth to build the system, now available as a service.
The gap compounds every quarter you wait.
AI-native sales teams see up to 4x the per-rep productivity of their competitors, closing $2M+ per rep a year. They didn’t get there with a copilot rollout, but by making AI a core operating capability.
The playbook shows you where you stand today and the first three moves to close the gap.