Category narrative · 9 keyword pages
The copilot vs agent distinction is the most important framing in current AI product strategy. Copilots augment human work — they suggest, draft, and assist while the human drives. Agents act autonomously — they plan, execute, and deliver results while the hum...
Agent-led growth is an emerging go-to-market motion where AI agents create value, demonstrate capability, and drive expansion within customer accounts. Instead of human salespeople doing demos, the agent itself demonstrates value through autonomous work. Inste...
AI-native products are built from the ground up with AI as a core architectural component, not a feature added to an existing product. The distinction matters because AI-native products can make fundamentally different design choices: they can use natural lang...
Workflow intelligence platforms combine traditional workflow automation (do these steps in this order) with AI intelligence (figure out the best steps and adapt as conditions change). They're the enterprise manifestation of agentic systems — productised, gover...
Decision intelligence systems use AI to improve the quality, speed, and consistency of business decisions. They gather relevant data, analyse patterns, model scenarios, present options with trade-offs, and — in agentic configurations — make routine decisions a...
GTM automation with AI agents applies agentic systems to go-to-market operations: lead research and qualification, personalised outreach, pipeline management, competitive intelligence, and deal support. This is distinct from traditional marketing automation (f...
Revenue intelligence with agents combines data aggregation across CRM, email, calls, and market signals with AI reasoning to surface insights, predict outcomes, and recommend actions across the revenue lifecycle. Agents can monitor pipeline health, flag at-ris...
Productivity automation platforms use AI agents to handle routine knowledge work: email triage, meeting preparation, document drafting, data entry, report generation, and cross-tool workflows. They target the 60% of knowledge worker time spent on operational t...
Automation-first business models design companies and products around AI automation as the primary delivery mechanism, with humans handling exceptions and high-judgment decisions. This inverts the traditional model where humans do the work and technology suppo...