AI coding tools changed how developers write code. CeremonyAI changes how product teams plan and spec AI projects — turning raw ideas into architecture, sprint plans, and developer-ready artifacts.
Every AI project starts the same way: a product manager has an idea, engineers ask 50 clarifying questions, and weeks of workshops produce a Confluence doc that nobody reads.
Meanwhile, AI coding tools like Claude Code and Cursor made developers 10x faster — but faster at building the wrong thing. The bottleneck shifted from "can we build it?" to "do we know what to build?"
We realized the biggest gap in the AI toolchain wasn't code generation. It was the planning that happens before code — the part where ideas become architecture, architecture becomes sprint plans, and sprint plans become developer-ready specs.
CeremonyAI is an end-to-end AI product planning platform. You describe your project in plain English. Our specialized AI agents — System Architects, Reliability Engineers, LLM Specialists, ML Engineers — collaborate through four stages:
Kickoff produces a structured project charter. Deep Dive classifies your approach and generates architecture playbooks, ADRs, API contracts, cost estimates, and risk matrices. Sprint Forge creates Jira-ready sprint plans with epics, stories, and acceptance criteria. Code Forge packages everything into config files for your AI coding tool.
The result: your product team gets clarity in minutes instead of weeks, and your developers get full project context from day one.
To be the bridge between product vision and production code — empowering teams to transform raw ideas into deployable AI/ML solutions through intelligent multi-agent collaboration, from discovery to developer handoff.
To become the standard platform for AI product planning — where every project flows seamlessly from idea through architecture, sprint planning, and developer-ready specs that integrate with modern AI coding workflows.
Every project gets a complete set of artifacts — from strategic planning to code-level specs.
Objectives, scope, risks, milestones, success metrics
System design, components, deployment, data pipeline
ADRs, API contracts, Mermaid diagrams, data models
Compute, storage, API calls, LLM tokens, monthly projections
Epics, stories, acceptance criteria, Jira export
CLAUDE.md, .cursorrules, AGENTS.md, ARCHITECTURE.md
Bridging technology, science, and business. The best products come from people who understand all three.
Working with humans, not replacing them. CeremonyAI amplifies what product teams already do well.
Intelligent automation with a human purpose. Every feature we build serves a real person's workflow.
Transparency, honesty, and accountability. We show our work — every decision comes with rationale.
Embracing failures, continually learning from data and peers. Our agents improve with every project.
Opening doors to diverse talent from all backgrounds. Different perspectives build better products.
Our team combines deep experience in AI/ML, product management, enterprise software, and operational transformation.
25+ years in AI/ML, Deep Learning, and Data Science. Author of two O'Reilly-published books (Python Data Science Cookbook, R Data Analysis Projects). 25+ patent filings. Led AI product teams across engineering infrastructure, retail, and computer vision.
22+ years leading global IT transformations for Tier-1 banks — overseeing $8M/year budgets, contributing to $100M+ outsourcing wins, and delivering $10M in direct cost savings. Now Co-Founder at Thili.ai, owning the full product lifecycle for CeremonyAI — from strategy and roadmap through MVP launch and go-to-market. Brings a rare combination of enterprise governance depth and AI product agility across Banking, Insurance, GRC, and Telecom. Core expertise spans Agentic AI, Generative AI, Python, Prompt Engineering, and Deep Learning.
Join the product teams using CeremonyAI to turn ideas into developer-ready specs in minutes, not weeks.
Questions? Reach us at askthili@thili.ai