PPAFlow

AI-powered contract management for energy trading and wholesale teams, automating PPA and RFP workflows, streamlining negotiation and approvals, and improving trading, risk, and contract control across gas and renewable portfolios.

The Problem

Manual PPA, RFP, and trading workflows slow energy deal execution and weaken risk control

Organizations face these key challenges:

1

PPA sourcing, negotiation, and approvals are managed through fragmented manual workflows

2

RFP responses and contract reviews require repetitive document handling and coordination

3

Commercial, legal, risk, and finance teams lack a shared system of record for deal status

4

Gas trading decisions are slowed by siloed operational data and manual reporting

Impact When Solved

Reduce PPA and RFP processing cycle times by automating intake, drafting, review, and approvalsImprove contract consistency with AI clause extraction, deviation detection, and playbook-based negotiation supportIncrease trader responsiveness with AI-assisted decision support for gas and renewable portfolio operationsStrengthen auditability through centralized workflow tracking, approval logs, and document version control

The Shift

Before AI~85% Manual

Human Does

  • Collect PPA, RFP, and gas trading documents from email, shared drives, and counterparties
  • Review contract terms manually and coordinate redlines across commercial, legal, risk, and finance
  • Track deal status, approvals, and obligations in spreadsheets and email chains
  • Compile position, exposure, and operational updates from siloed reports for trading decisions

Automation

  • No AI-driven intake, extraction, or workflow routing is used
  • No automated clause comparison or deviation detection is available
  • No continuous approval tracking, SLA monitoring, or audit-ready workflow logging is performed
  • No AI-generated portfolio summaries or risk insight support is provided
With AI~75% Automated

Human Does

  • Decide whether to pursue opportunities, respond to RFPs, and prioritize negotiations
  • Approve non-standard terms, risk exceptions, and final contract language
  • Review escalated issues across commercial, legal, operational, and exposure thresholds

AI Handles

  • Ingest PPAs, RFPs, gas supply agreements, and trading documents and extract key commercial and legal terms
  • Compare clauses to standard playbooks, summarize deviations, and generate negotiation support
  • Route tasks, approvals, and redlines across teams while tracking status, deadlines, and version history
  • Monitor contract, position, and market data to produce portfolio summaries, flag exceptions, and support trading decisions

Operating Intelligence

How it works

AI runs the first three steps autonomously.

Humans own every decision.

The system gets smarter each cycle.

Confidence93%
ArchetypeRecommend & Decide
Shape6-step converge
Human gates1
Autonomy
67%AI controls 4 of 6 steps

Who is in control at each step

Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

Loop shapeconverge

Step 1

Assemble Context

Step 2

Analyze

Step 3

Recommend

Step 4

Human Decision

Step 5

Execute

Step 6

Feedback

AI lead

Autonomous execution

1AI
2AI
3AI
5AI
gate

Human lead

Approval, override, feedback

4Human
6 Loop
AI-led step
Human-controlled step
Feedback loop
TL;DR

AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.

The Loop

6 steps

1 operating angles mapped

Operational Depth

Technologies

Technologies commonly used in PPAFlow implementations:

Key Players

Companies actively working on PPAFlow solutions:

Real-World Use Cases

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