Flow-First
Fits into your team’s existing workflow — DevOps, Jira, Teams, Slack — without adding another tool to the stack.
Welcome to Prodgy
Product Ops
AI Agents
What is Prodgy?
Section titled “What is Prodgy?”Prodgy is a Product Ops platform that uses specialized AI agents to orchestrate and automate product and engineering operations. It acts as a strategic and operational layer that connects planning, execution, and continuous evolution — integrating with the tools your team already uses.
Prodgy’s focus is not to replace people, but to dramatically increase team capacity, reducing rework, decision bottlenecks, and repetitive operational tasks.
Who is Prodgy for?
Section titled “Who is Prodgy for?”Prodgy was designed for product and engineering teams dealing with high operational complexity:
- Product Ops / Agile Ops — configure agents, define workflows, and monitor operations
- Product Managers — gain agility in specification and prioritization
- Tech Leads and Engineers — reduce rework and gain standardization
- Delivery Managers — increase predictability and governance
What does Prodgy solve?
Section titled “What does Prodgy solve?”| Challenge | How Prodgy solves it |
|---|---|
| Repetitive Tasks | Automates PBI specification, test generation, bug detailing, and epic decomposition. |
| Information Fragmentation | Connects tools like DevOps, Jira, GitHub, and Aha! into a single orchestration point. |
| Lack of Standardization | Specialized agents ensure consistency across teams and projects. |
| Low Predictability | Dashboards, execution history, and real-time operational metrics. |
How does Prodgy work?
Section titled “How does Prodgy work?”Prodgy operates around six pillars that together form the foundation of the platform:
Omnichannel
An AI assistant present across any channel and occasion — meetings, chats, documents, boards — always available where the team needs it.
AI-Agnostic
Not locked into any AI provider — choose from OpenAI, Anthropic, Google, Azure OpenAI, Cohere, or self-hosted models.
Knowledge Cortex
Curated and controlled knowledge center — documents, data, and context organized to feed agents with precision.
Lean-AI
Combines deterministic computing with AI only where needed — lightweight, precise prompts that drastically reduce token consumption.
Hypergovernance
Agent supervision, cost control, guardrails, auditing, and granular permissions over contexts and operations.
Flow-First
Section titled “Flow-First”Prodgy users keep using their existing tools — DevOps, Jira, GitHub, Teams, Slack, Aha! — while Prodgy fits into the existing workflow, bringing AI to the entire cycle without adding another tool to the daily stack.
- Quick connection with any market tool
- End-to-end workflow automation
- Integrated reports and dashboards
- Data enrichment and command execution in external systems
Omnichannel
Section titled “Omnichannel”Prodgy is an omnipresent AI assistant — it’s where the team is, when the team needs it. Whether in a Teams meeting, a Slack conversation, a DevOps board, or a shared document, Prodgy actively participates, captures context, answers questions, and executes tasks.
- Present in meetings (Teams), chats (Slack, Teams), boards (DevOps, GitHub, Jira), and documents
- Actively participates in meetings as an intelligent bot
- Responds and executes tasks directly in communication channels
- Continuously captures context across all touchpoints
- Available at any moment and occasion in the operation
AI-Agnostic
Section titled “AI-Agnostic”Prodgy is completely AI provider-agnostic — you choose which provider to use and can bring your own. No vendor lock-in, no embedded or tied AI. The hybrid architecture combines deterministic workflows with AI only where needed, ensuring cost predictability at scale.
- Multi-provider: OpenAI, Anthropic, Google, Azure OpenAI, Cohere, self-hosted, and more
- Switch providers at any time with zero operational impact
- Deterministic workflows + AI only where needed
- Cost predictability at scale
- Data remains under full company control
Knowledge Cortex
Section titled “Knowledge Cortex”Prodgy’s master knowledge base centralizes, curates, and organizes all company information — documents, project data, conversations, pipelines, and historical context — into a single trusted source that feeds AI agents with precision and control.
- Single knowledge center with documents, data, and project context
- Multi-format import: CSV, PDF, DOCX, TXT, MD, JSON, XML
- Vector embeddings for intelligent semantic search
- Automated pipelines for continuous data collection and updates
- Editable project information blocks syncable with agents
- Full control over what agents can access and use
Lean-AI
Section titled “Lean-AI”Prodgy takes a lean approach to AI: instead of sending everything to an LLM, the hybrid architecture combines deterministic computing with surgical AI calls — lightweight, precise, and optimized prompts that solve the problem without wasting tokens.
- Hybrid architecture: deterministic logic + AI only where it adds value
- Optimized, surgical prompts that minimize token consumption
- Up to 90% savings compared to traditional generative AI approaches
- Cost predictability even in high-scale operations
- No unnecessary LLM calls — every token counts
Hypergovernance
Section titled “Hypergovernance”The Prodgy portal enables end-to-end agent supervision with granular access permissions over contexts and agents, ensuring control, traceability, and compliance across all operations.
- Complete supervision of agents and executions
- Granular permissions by context, workspace, and user
- Traceability and auditing of all operations
- Real-time dashboards and operational metrics
Getting Started
Section titled “Getting Started”To start using Prodgy:
- Create your account — register on the platform
- Set up a workspace — organize your team and configure integrations
- Install agents — choose the right agents from the Agent Panel and configure them
- Use the Playground — test prompts and interactions before going to production
Visit Prodgy