AI for sales and revenue teams at B2B tech startups

Rock Growth Partners helps B2B tech startups and scale-ups put AI to work in their sales and revenue teams: finding pipeline, prepping deals and clearing admin, without turning outreach into spam. We audit where AI fits your sales process, build the tools, tell you what to buy and what to skip, and train your reps to use AI without sounding like a bot. Daniel Rock leads every engagement himself and builds these tools on LLM APIs and MCP, so what you get has already run in a live sales team.

The rule is simple: AI takes the busywork so your people can spend more time being human with buyers. If a task is mechanical, the machine can have it. If it depends on a buyer's trust or a judgment about a specific person, it stays with your team. Daniel has written about what reps are for once the admin is automated and why buyers still want a human.

What's included

• An audit of where AI fits your sales process, and where it doesn't. We go through how your team finds, works and closes deals and mark where AI would save sellers time or find pipeline. You get both lists in writing, including what to leave alone.
• AI outbound and account research engines. Research on the account and the people before anyone reaches out, so a rep's first message and first call start from the buyer's business. The aim is fewer, better-aimed conversations. We won't build anything designed to send more email.
• Call notes, deal summaries and CRM updates done for you. The admin reps put off, done automatically, so the data behind your pipeline is complete without anyone chasing it.
• Pipeline and forecast reporting your board can trust. Pipeline summaries and a forecast view for the board, built on that cleaner data, so meetings go on decisions instead of status updates. The tools make a forecast quicker to build. They can't make an optimistic one honest, so the rules for what counts as commit stay with your sales leader.
• What to buy, what to build and what to skip. Some jobs are worth buying a tool for, some need building around your own process and data, and some aren't worth doing yet. We'll tell you which is which before you commit to a vendor.
• Training reps to use AI without sounding like a bot. How to use the research and drafts the tools produce, what to check before anything goes out under their name, and where their own voice and judgment take over.

Who it's for, and when it's the wrong call

This is for sales and revenue teams at B2B software and tech companies, typically seed to Series C, or founder-funded businesses of a similar size. You know AI should be helping your sellers, but the tools you've tried mostly add noise and spam. It also suits founders still closing most deals themselves.

We'd tell you to hold off if:

• You want more volume. If the plan is to send a lot more email, we're the wrong people. We think AI-written outreach at scale is the quickest way to become noise in a buyer's inbox, and it's your name on every message.
• The fundamentals aren't settled. If your team doesn't agree on the ideal customer, your stages mean different things to different reps, or discovery is a product tour, AI will automate the mess faster. We'll say so and start with the process through revenue consulting.
• You need someone to run the team. Tools won't hire, coach or set quotas. If the sales function needs building, start with a fractional CSO or VP Sales and add AI alongside.

How an engagement runs

It starts as a project, then moves to ongoing support if you want it, on the same path as every engagement we run:

1. Intro call. Where you are, what's in the way and whether we're the right fit. If we're not, we'll say so.
2. Diagnose. We dig into your pipeline, team, process and numbers, run the audit, and agree a written plan with outcomes you can measure.
3. Build and run. We build the tools, fit them into your team's week, train the reps and check in against the plan as we go.
4. Hand over. We write down what we built and how it works so your team can run it.

The project has a set scope, timeline and fee, agreed before we start, so you know the cost up front. Ongoing support afterward is scoped to what your team needs. It works on its own or alongside fractional sales leadership.

Who you'll work with

Daniel came to sales from IT and has spent 20+ years leading B2B tech sales and revenue teams in New Zealand, Australia, the UK and the US, including two roles as Chief Revenue Officer. He's still a bit of a nerd. He built an AI outbound engine and a marketing intelligence dashboard himself, from scratch, on LLM APIs and MCP. He's also designed pricing for AI product modules, so he's seen AI from the side that sells it as well as the side that uses it.

He's carried the number too. As Chief Revenue Officer at SuiteFiles, a PE-backed SaaS platform, he doubled ARR and took opportunity-to-close from 18% to 41%. So the tools get built by someone who has sat in a lot of board meetings explaining a forecast, for a team with a target to hit.

His book, Curiosity: How to Be Human When Selling in the Age of AI, is about selling when AI can do everything else. This service is the practical side of the same argument: get interested in people, be honest with them, help them decide well, and let the machine handle the rest.