Scale
How do you do more with the same team?
When the loop works, the constraint becomes people. This station adds capacity without headcount: automation and agents where the work is repetitive, senior people where judgement is needed. And when the data says the market has moved, it hands you back to Position.
You are here if.
Tick what sounds like you.
What we do to get more from the same team.
Hover a service to read what it means.
How we work this station.
Map the repetitive work first
Two weeks inside your team’s week: what gets typed twice, copied, reformatted, translated, reported by hand. That list is the automation roadmap.
Automate, then agent
Simple automations first, in the tools you already own. Custom agents where judgement is needed: briefs, first drafts, localisation, monitoring, with a human check before anything ships.
Senior judgement where it counts
A part-time growth lead who owns the number, runs the loop and trains the team. Embedded specialists where a gap is specific.
Watch for the pivot signal
AI visibility monitoring and the Measure dashboard tell you when the market has moved. When it has, Scale hands you back to Position.
What unconventional looks like here.
AI content at volume with nobody checking it.
Agents with an eval layer
Every AI pipeline we build ships with quality checks: tests, thresholds, a human review step. Most AI content pipelines skip this and produce volume nobody wants.
A retainer designed to make you dependent.
Train the team to not need us
Workshops and playbook installs are part of every Scale engagement. The measure of success is how much of the loop your team runs alone a year later.
Finding the gaps in your data during the fundraise.
Growth diligence before the investor asks
We read your data the way an investor’s analyst will, before they do. Fixing what they would find is cheaper than explaining it.
What you
leave with.
Every first engagement is fixed scope, written down before you sign. If we do not deliver it as described, you do not pay. Ongoing work is a monthly retainer. See pricing →
Book the diagnosis call →Growis · Scale
- 01Hours back every week
- 02A senior owner for the growth number
- 03A clear read on whether it is time to pivot
Everything above: yours to keep.
Questions about Scale.
What is a fractional CMO?
A fractional CMO is a senior marketing lead who works with a company part-time, typically one to two days a week, owning the growth number and the plan without the cost of a full-time hire. At Growis it comes with the loop, the team and the tooling behind it.
What is marketing automation?
Marketing automation is software and workflows that run repetitive marketing tasks without manual work: lead routing, nurture sequences, reporting, content versioning. Growis builds it in the tools you own and adds custom agents where judgement is required.
What is AI visibility monitoring?
AI visibility monitoring tracks how ChatGPT, Perplexity, Gemini and Google AI describe your company, category and competitors over time, so you can correct errors and claim the answers that matter.
Do you offer AI training for teams?
Yes. Workshops and playbook installs for marketing and sales teams: prompts, pipelines, quality checks and the rules for what may ship without review. Scoped per team in the proposal.
Which AI tools do you build with?
The model that fits the task, wired into the tools you already own: CRM, inbox, project tool, CMS. We are not tied to one vendor and we say when a simple automation beats an agent.
How do you keep AI output on brand?
Every pipeline ships with quality checks and a human review step. The brand voice, the positioning and the banned words are part of the system prompt, and the eval layer catches the rest.
How does a fractional CMO work day to day?
One to two days a week, in your meetings and your tools. They own the growth number, run the loop, and manage whoever executes, including us.
How do we know it is time to pivot?
When Measure shows the same message losing efficiency across channels, AI monitoring shows the category being described differently, and interviews confirm it. Then Scale hands you back to Position.