Ai-Con.

Ai-Con is a multi-agent AI management consulting platform purpose-built for energy-sector SMEs (oil & gas, utilities, renewable energy) who face the same strategic complexity as large enterprises but can't afford a $500K McKinsey engagement. The product mirrors the structure of a real consulting team — Managing Director, Engagement Manager, Senior Associates, Analysts — each agent with defined roles, collaborating to deliver BCG-style strategic narratives at a fraction of traditional cost and timeline.

The platform splits into two specialized departments routed at onboarding: Oil & Gas and Power Utilities & Renewable Energy — each with its own MD agent, EM coordinator, and analyst pool. Core capabilities span AI-Powered Strategy Consulting (market analysis, competitive benchmarking, business strategy), Energy Transition Advisory (renewable adoption, carbon mitigation, regulatory roadmaps), and Operations Optimization — replicating end-to-end consulting engagements through agentic collaboration.

Powered by a two-tier Claude strategy matched to the consulting hierarchy: Sonnet 4.6 drives the MD Agent and Engagement Manager for strategic synthesis, framework reasoning, and BCG-style narrative; Haiku 4.5 drives Senior Associates and Analysts for fast, low-cost parallel data gathering — the same compute-to-cognition trade-off that real consulting firms make with their staffing pyramid. Trust & output validation is built in: every recommendation comes with cited sources, structured reasoning, and confidence indicators, plus an audit trail showing how the agents arrived at each conclusion.

Targeting the global energy consulting market valued at ~$18B in 2025 and projected to reach $24–28B by 2030, where the long tail of energy-sector SMEs is structurally underserved by Tier-1 consulting firms. Buyers and end-users are the same person: C-suite executives (CEO, CFO, COO), strategy managers, and operations managers within energy-sector SMEs.