Your team is beautifully creative. Help them accelerate.

We get the hesitations

The fear

"Our work is creative. AI isn't."

The concern is fair - it's the one we hear most. But, honestly, the data points the other way. Salesforce's 2026 report found that strategic and creative thinking is the third most important skill for marketers as AI use grows, not one of the skills it replaces. AI removes the hours your team spends on work that doesn't require their judgment. The judgment itself becomes more valuable.

The myth

"Our brand voice is too specific. AI will dilute it."

This is only true if you hand the AI a blank brief and expect a miracle. When your team learns to work with AI properly — including how to encode your brand voice, tone guidelines, and audience context into the way they prompt and review — the output reflects your brand because your people shaped it.

The assumption

"We already have AI in HubSpot and Canva, so we're covered."

The gap isn't access to AI features - we know every team has those. But it's knowing how to use them in concert, connecting your CRM data to your content workflow, pulling campaign performance into your briefs, letting your tools talk to each other instead of operating in silos. It's a capability problem, and it's the one to solve.

Campaign briefing and content production cycles

Writing briefs, reformatting copy for different channels, producing first drafts, and chasing approvals on work that's 80% templated is eating weeks of senior time every quarter. AI doesn't replace the creative direction, it compresses the grunt work around it so your team gets to the good bit faster.

Reporting that takes all day to build and five minutes to read

Performance reporting is one of the most time-intensive tasks in any marketing team, and most of it is assembly work, pulling data, formatting, narrating the obvious. AI handles the assembly. Your analysts get to do analysis. The insight doesn't change. The hours to produce it do.

Personalisation that stalls at scale

The strategy says personalise at scale. The reality is your team has the ideas and not the bandwidth. Producing tailored content across segments, markets, or personas manually is a headcount problem disguised as a capability problem. With the right AI workflow, it stops being either.

Research and competitive intelligence that never quite happens

Audience research, trend monitoring, and competitive analysis are perpetually on the list and perpetually deprioritised because the team is in production mode. AI doesn't just speed up research, it makes it realistic again. The strategic work your team keeps planning to do starts actually getting done.

60%
Of marketers' time is spent on tasks AI can meaningfully assist with. McKinsey's research on generative AI in marketing found that the technology could automate or accelerate up to 60% of the working hours currently absorbed by content creation, data analysis, and personalisation.

Tangible outcomes. Not a 100-page strat deck filled with recommendations.

A focused pilot cohort with documented productivity gains.

2 to 3 documented AI use cases built around your team's actual workflows, ready to replicate across the wider team.

A clear internal business case for scaling AI adoption, with ROI already demonstrated.

Practical guardrails for responsible AI usage in a marketing context, including brand voice, compliance, and content review standards.

A team that can run this independently. We build capability in-house, not dependency on us.

A full debrief with senior leadership on findings, use cases, and a prioritised roadmap for scaling across the organisation.

An honest conversation.

A quick 30 minutes to understand where your marketing team is, what's slowing them down, and whether Neoma is the right fit.

Gemma Toogood

Gemma Toogood

Co-Founder, Neoma

LinkedIn
Roisin O'Neill

Roisin O'Neill

Co-Founder, Neoma

LinkedIn