Manago AI has revealed the next evolution of its Customer Engagement Platform. The solution combines a new brand identity, agentic AI capabilities, an improved user experience, and a simplified commercial model. Manago AI says its enhanced solution was designed to help growing companies realise value faster.
The launch coincides with the rebrand from SALESmanago, one of the first marketing automation platforms in Europe, to Manago AI. This reflects a broader business transformation focused on helping marketers move faster, reduce complexity and achieve value sooner through AI-powered customer engagement.
Designed for eCommerce marketers, the platform helps teams manage growing volumes of customer data and deliver personalised experiences more efficiently.
The new capabilities expand the intelligence built throughout the Manago AI platform. It enables marketers to use prompts in everyday language to analyse customer behaviour, recommend next actions, create campaigns, and automate execution. Manago AI expects these new capabilities will reduce manual work while keeping teams in control.
Key developments
The launch is built around three key developments:
- New agentic AI infrastructure and capabilities that automate execution across the customer journey.
- Conversational workflows that empower marketers to build campaigns and audiences using natural language.
- A simpler, more transparent commercial model, with flexible packaging, clear pricing and AI-powered onboarding designed to accelerate time-to-value for brands.
Turning insight into action in one prompt
At the core of the Manago AI platform is a unified architecture that brings together data, channels and intelligence in one place. It helps teams understand and predict customer behaviour and personalise engagement. This will turn customer insight into action faster, with less manual work and at greater scale.
Phil Draper, CEO at Manago AI, said, “Marketing teams don’t have a data problem – they have an execution problem. Insight sits in dashboards, while campaigns are delayed by manual processes, disconnected tools and limited resources.
“Built for the next era of marketing, Manago AI changes that by turning data directly to action. We’re reducing the time from insight to execution from days to minutes.
“Allowing campaigns to be built, launched and optimised in a single flow. It’s modern marketing made simple, helping marketers move at the speed their customers expect, while staying fully in control of strategy and outcomes.”
Marketing, made to feel simple
Built-in intelligence enables Manago AI to translate customer signals directly into marketing activity. It removes the manual steps that typically slow teams down. With the platform, marketers can:
- Build campaigns, audiences and journeys using a simple prompt in plain language.
- Generate campaign briefs, email content, subject lines, and images – all on brand – in a fraction of the time.
- Deliver real-time product recommendations using omnichannel messaging.
- Analyse customer data and identify strategic segments to engage and next best actions.
Enterprise Times: What this means for businesses
For marketers, the Manago AI product announcement signals a shift from using AI mainly as a productivity tool to using it as an execution layer across the customer journey. Manago AI is positioning its platform around prompt-based workflows, customer behaviour analysis, campaign creation, journey building and automated next-best actions.
This means, in theory, that marketers could move more quickly from insight to live activity without relying as heavily on technical teams or manual processes. The practical appeal is speed: turning data, audience segmentation, content generation and omnichannel personalisation into a single flow rather than a series of disconnected tasks.
This is especially relevant for eCommerce teams. They deal with large volumes of customer data and are under pressure to deliver personalised engagement.
It also changes the role of the marketer. It saves time on assembling audiences, briefing campaigns, writing variants or moving data between systems. Marketers can now focus on strategy, brand judgement, governance and performance optimisation. The promise is that AI can reduce complexity and accelerate time-to-value.
However, the real test will be whether teams keep genuine control of decisions, quality and customer experience as automation handles more execution. If adopted well, these capabilities could help smaller or stretched marketing teams operate with greater scale and sophistication. If adopted poorly, they risk producing faster but less differentiated campaigns.
