Enterprise pain: inconsistent AI-agent teams → repeatable, metrics-driven team structures

Enterprise pain: inconsistent AI-agent teams → repeatable, metrics-driven team structures targets a $60.0B = 50,000 enterprises x $1.2M ACV (enterprise AI transformation & services focused on automation/agentization) total addressable market with medium saturation and a year-over-year growth rate of 30-40% (enterprise AI services and automation spend).

Key trends driving demand: LLM commoditization -- Lower model costs and more capable models enable agent-based automations that used to need large engineering teams.; Platformization of agents -- Tooling (LangChain, orchestration layers) reduces custom engineering, making playbooks and templates more valuable and adoptable.; Shift to outcome-based sourcing -- Enterprises prefer productized, repeatable solutions (playbooks + KPIs) over bespoke multi-year engagements..