Services / AI-native revenue operations
AI-native revenue operations and workflow design
Less manual work. More commercial capacity.
AI-native revenue operations is the redesign of how your commercial team works, so people, processes and technology fit together and AI takes on the repetitive work. For B2B tech and SaaS teams, it replaces scattered experiments with workflows and automations that free time for customers and pipeline.
Is this you?
01 / Recognise this?
Good people. Too much friction.
Disconnected CRM, manual handoffs and scattered AI experiments keep your team from its highest-value work.
Is your operating model helping or holding you back?
02 / Recognise this?
AI pilots that never scale.
Individuals use AI tools in their own way, but nothing is built into how the team actually works.
Which AI use case would save your team the most time?
03 / Recognise this?
A CRM nobody trusts.
Data is incomplete, handoffs happen in chat and reporting takes a day of manual work every month.
Can you see pipeline without exporting a spreadsheet?
What you get
- ↗ A workflow audit across marketing, sales and operations
- ↗ AI use cases prioritised by time saved and commercial impact
- ↗ AI tooling and CRM automation that fit your existing stack
- ↗ Roles redesigned around the new workflow, with human review built in
- ↗ Lead routing and enrichment: inbound leads enriched, scored and routed automatically
- ↗ Pipeline and forecast reporting without manual exports
- ↗ AI-generated account research and meeting briefs for sales
- ↗ AI-assisted content production, repurposing and campaign set-up
Engagement model
6 to 10 weeks
Project
Project fee, scoped after the first call. It isn't a custom software build or a data-platform project: the work uses your existing stack and proven off-the-shelf tools. What I need from you: admin access to the relevant systems, a process owner in marketing, sales and operations, and a few hours a week from the team during the build.
How it works
Audit
Map how work flows today across marketing, sales and operations, and where time and data get lost.
Weeks 1–2
Prioritise
Choose the AI and automation use cases with the most impact, and agree where human review stays.
Week 3
Build
Implement the workflows, CRM automation and AI tooling hands-on, inside your existing stack.
Weeks 4–8
Embed
Redesign roles and routines around the new workflow, so the team keeps using it.
Weeks 9–10
Beyond scattered AI experiments
Most commercial teams already use AI somewhere: a writing tool here, a meeting summary there. The value comes when AI is designed into how the team works. That means looking at the whole workflow across marketing, sales and operations, deciding where automation and AI help, and where people need to stay in control.
Operating model first, tools second
The work starts with a workflow audit: how leads move, where handoffs break, how data enters the CRM and how reporting is produced. Use cases are prioritised by time saved and commercial impact. Then the workflows, CRM automation and AI tooling are built hands-on, inside your existing stack, and roles and routines are redesigned so the team keeps using them.
When it fits
It fits when your team is losing time to friction, tools and repetitive work: manual handoffs, a CRM nobody trusts, reporting that takes days or AI pilots that never scale. It works best when the commercial direction is clear. If it is not, a GTM strategy sprint comes first.
What changes for your team
The goal is less manual work and more commercial capacity. Handoffs between marketing, sales and operations follow one agreed flow instead of chat messages. The CRM becomes the place the team trusts, because data enters it as part of the work. Reporting stops being a monthly manual job. And the time that comes back goes to the work that matters most: customers, accounts and qualified pipeline.
Frequently asked questions
What does AI-native revenue operations mean in practice?
Designing marketing and sales workflows, CRM and handoffs so AI and automation handle the repetitive work, with people reviewing what matters. It is about how the team works, not about buying another tool.
Will AI replace people in my team?
That isn't the aim. Roles are redesigned around the new workflow, with human review built in, so your team spends more time on customers and pipeline.
Which tools and platforms do you work with?
I work with your existing stack where possible, most often HubSpot or Salesforce, Clay and other enrichment tools, Zapier, Make or n8n for automation, and assistants such as ChatGPT, Claude or Copilot.
How is it priced, and how long does it take?
Project fee, scoped after the first call. A typical project takes 6 to 10 weeks.
Is this a software development project?
It isn't a custom software build or a data-platform project. The work uses your existing stack and proven off-the-shelf tools.
What do you need from us?
Admin access to the relevant systems, a process owner in marketing, sales and operations, and a few hours a week from the team during the build.
Often combined with
ABM & demand generation
Automate the plays, handoffs and pipeline reporting behind your demand engine.
Fractional head of growth
Pair the new operating model with senior leadership that keeps it on course.
Less friction. More forward.
Your next stage of growth starts with a conversation.
30 minutes. Your growth challenge. A direct conversation with Jeroen.
