Your pipeline on autopilot
Sales pipelines stall because manual work between marketing signal and sales conversation takes too long. A lead fills out a form. Someone scores it on Monday. Someone else calls on Wednesday. The moment has passed. Enriching leads, scoring them, qualifying them, following up, all on a database of tens of thousands of contacts at once. Nine out of ten sales automation challenges are solved with a well-designed agentic pipeline, not a custom ML model. We build what works, not what impresses in a demo.
Lead enrichment and ICP scoring at scale, tested on 65,000 leads (Stanley/Stella)
Agentic pipelines that qualify leads, activate campaigns and maintain CRM data
Conversational AI for lead generation, integrated with Salesforce and other CRM systems
AI agents that send personalised follow-ups based on behaviour signals
From failed custom ML model to a working pipeline in a fraction of the time
AI lead enrichment & scoring
Outdated lead databases contain gaps. AI enriches missing data, scores every lead on ICP fit and prioritises for sales, so your team focuses energy on the prospects that matter most, not on cleaning lists.
Agentic sales pipeline
AI agents that collaborate in one workflow: enrichment, scoring, prioritisation and automated CRM updates. iO builds pipelines in N8N and similar tools that run as agentic workflows, flexible enough for complex sales contexts.
AI-driven campaign setup & segmentation
From audience definition to campaign activation. AI takes over the manual work. iO automates campaign setup based on intent signals and behaviour data, so your team has more time for strategy and less for execution.
Conversational AI for lead generation
AI agents that answer customer questions, qualify leads and route them directly to your CRM, integrated with Salesforce, HubSpot and other platforms. iO builds modular conversational AI architectures that scale across multiple brands and channels.
Read morePersonalised AI follow-ups
Behaviour, intent and conversion stage triggers activate personalised follow-up flows. iO connects your behaviour data, your AI content generation and your marketing automation platform.
Read more
Our approach to Marketing & Sales AI Automation
Automation only works if your ICP is sharp and the pipeline is strategically built, not if loose AI tools are applied to an unclean lead database. iO always starts with the strategic question: which lead is worth pursuing, and why? AI bridges that gap: direct qualification, personalised follow-up at the right moment. The automation that removes the delay is also the automation that improves conversion.
ICP definition as foundation
AI scoring only has value if the ICP model is correct. Which characteristics, industry, company size, behaviour pattern, buying stage, determine whether a prospect deserves sales attention? iO develops the ICP for each project, so the scoring model rewards what's strategically right.
Agentic pipelines that iterate
The market sells you machine learning for every automation challenge. In practice, most marketing and sales processes are too irregular for classical ML and too complex for rule-based automation. Agentic pipelines, with LLMs that reason about context, fill exactly that gap. That's not a compromise, it's the right architecture choice. iO builds those workflows in N8N with multiple specialised AI agents: enrichment, scoring, prioritisation. By splitting the pipeline into focused sub-flows, cost and accuracy are optimised per stage. At Stanley/Stella this was tested and validated on 65,000 real leads.
Conversational AI as the pipeline front-end
Generate leads via conversational AI, immediately enrich with CRM data and route to the right sales flow, that's what a modular conversational AI architecture makes possible. iO builds those architectures to scale across multiple brands and channels.
Why iO for marketing and sales automation?
We replaced a failed ML model with a working pipeline
Stanley/Stella had a lead scoring model that didn't work. We built a complete N8N pipeline with multiple specialised AI agents, tested on 65,000 real leads, and identified approximately 3,250 high-quality prospects. No custom ML model, no months of training. A well-designed pipeline that went into production within weeks.
Pragmatic approach over heavy technical investment
Low-code agentic pipelines deliver the same output as custom ML models in many sales automation challenges, at a fraction of the lead time and budget. iO chooses the approach that fits your scale and objectives, not technical ambition.
From lead scoring to conversational lead generation
AI automation doesn't stop at scoring existing leads. iO also builds the front-end: conversational AI agents that generate new leads, qualify them and route them, integrated with your CRM and existing marketing automation.
Cross-service connection with personalisation and content
The strongest sales automation connects lead scoring with personalised follow-up content. iO connects automation directly with the AI Content Factory and Personalisation at Scale, so the right message reaches the right moment.
Tools and platforms
iO is technology-agnostic. The choice of tools depends on your existing CRM environment, your technical infrastructure and the scale of your pipeline.
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