The Origination Speed Problem
PPA origination is increasingly a high-volume process. Corporate sustainability commitments and state RPS compliance requirements have created a large and active buyer pool, but individual deal windows close fast. The manual workflow — pulling off-taker credit data from Bloomberg, building a credit memo, populating a term sheet with current project economics and pricing optionality across contract structures — is repeatable work that takes 3–5 days when done by hand. Over a year of origination activity, that adds up to a significant number of prospects who received a competitor's term sheet first.
How an AI Agent Compresses the Origination Cycle
An AI Labor Company agent mines your historical PPA term sheets and off-taker credit assessment frameworks to understand your deal structures, pricing logic, and credit evaluation criteria. For each new prospect, a Gemini-powered agent ingests Bloomberg credit data, populates a draft term sheet with current project economics and pricing optionality, and assembles a credit memo consistent with your assessment standards. The package routes to the VP of Power Marketing for review and DocuSign distribution — enabling your origination team to respond to corporate buyer RFPs same-day. Deployment typically takes about 7 weeks, with 50–70% reduction in per-prospect preparation time.
The Business Case: Win Rate and Deal Velocity
The revenue mechanism is direct: faster response times improve win rates in a competitive origination market, and a same-day term sheet capability lets you engage more prospects without adding origination headcount. For a renewables IPP where each signed PPA represents years of contracted revenue, even a modest improvement in the ratio of inquiries to executed agreements has meaningful portfolio impact. The efficiency gain — 50–70% reduction in term sheet preparation time — also means your power marketing team can work a larger prospect pipeline, which compounds the effect over time.
Can the agent handle different contract structures — fixed price, indexed, pay-as-produced — within the same term sheet workflow?
Yes. The term sheet population logic supports multiple pricing structure templates configured to your standard commercial terms. The agent populates pricing optionality sections with current project economics for each structure and routes the VP-level review to select or customize before distribution.
How does the agent stay current with FERC, RPS, and ISO/RTO rule changes that affect term sheet language?
The agent's term sheet templates are maintained by your power marketing team — regulatory compliance language is a human-reviewed input, not something the agent generates from scratch. The agent populates economics and credit data; template language and regulatory terms remain under your counsel's review and control.
Does this work for both new development projects and brownfield or operating asset PPAs?
The workflow is project-agnostic — it pulls whatever project economics and pricing assumptions you configure as inputs for a given asset. Teams typically configure separate templates for development-stage projects versus operating assets given the different risk profiles in the credit memo.