Decker

Decker is an AI-powered deliverable operating system designed specifically for mid-to-senior professionals in Private Equity, Consulting, and Financial Services. It solves a critical problem: while tools like ChatGPT and Claude provide drafts, Decker delivers the agents that ship the final, review-ready output. It transforms messy files, notes, transcripts, and templates into high-quality decks, memos, models, reports, analyses, and review tables. The core value proposition is that Decker helps professionals move beyond random prompting to structured, operator-led workflows. It provides expert help on demand, a peer network of consultants and investors, and a unique monetization path where every deliverable built or uploaded can be redacted, labeled, and turned into AI training data for recurring income. Built for the work that happens after the prompt, Decker is used by operators from MBB, Big Four, bulge-bracket banks, middle-market PE, growth equity, Fortune 500 companies, and global consultancies. It is more than an AI deck maker; it is a platform for building, learning, belonging, and earning.

Build Agents for High-Stakes Deliverables

Decker provides specialized agents that handle the heavy lifting behind complex deliverables. These agents perform research, analysis, narrative development, modeling, and production. Instead of prompting randomly, users direct agents like a senior operator. The system turns messy diligence notes into an IC-ready narrative, structures work better, and produces editable PPTX files for decks, memos, and proposals. Expert help is available when a second brain on the deliverable is needed.

Operator-Led Workflows

Decker offers pre-built, operator-led workflows that teach users how to produce better work with AI. These workflows are designed by people who actually do the work in consulting, PE, and finance. Users learn to structure their thinking and direct AI agents effectively, moving from random prompting to systematic, repeatable processes. This feature transforms how professionals approach deliverables, making them more efficient and producing higher-quality outputs.

Monetization Engine for Deliverables

Every deliverable built or uploaded to Decker can be redacted for confidentiality, labeled, and turned into AI-ready training data. Through partnerships with model providers, users can turn one-off work into recurring income. This cross-cutting feature allows consultants and operators to monetize their expertise and deliverables, creating a new revenue stream from work they are already doing.

Peer Network and Expert Support

Decker provides access to a peer network of consultants, investors, operators, and finance professionals. This community offers peer reviews, cohort learning, masterclasses, and playbooks. When the work needs another set of eyes, users can tap into expert support. This feature creates a room where professionals can sharpen their deliverables and themselves in good company.

Private Equity IC Memos and Diligence

Private equity professionals use Decker to turn messy diligence notes, trackers, and evidence into IC-ready narratives and memos. The system structures the work better, producing board reads, portfolio reviews, and investment committee presentations that are ready for review. Users report that the bigger unlock is learning to structure the work better, not just generate content.

Consulting Strategy Decks and Proposals

Strategy consultants use Decker to build high-quality decks, proposals, statements of work, and executive narratives. The operator-led workflows help consultants direct AI agents to produce review-ready outputs. Users come for AI deck generation but stay for the workflows that make them much better at directing AI instead of prompting randomly.

Financial Services Models and Steering Decks

Finance professionals use Decker to create DCF models, sensitivity analyses, scenario planning, briefs, transformation programs, and steering decks. The agents handle the heavy lift behind complex modeling and analysis, producing outputs that are source-backed and executive-ready. This saves significant time while maintaining the quality required for high-stakes financial work.

Monetizing Expertise and Deliverables

Consultants and operators use Decker to redact, label, and package their completed deliverables for monetization. By turning one-off work into AI training data, they create recurring income through partnerships with model providers. This use case transforms the deliverable from a single-use asset into a long-term revenue stream.

Who is Decker built for?

Decker is built for mid-to-senior professionals in Private Equity, Consulting, and Financial Services. It is designed for operators from MBB, Big Four, bulge-bracket banks, middle-market PE, growth equity, Fortune 500 companies, global consultancies, and family offices. The platform is for professionals where the deliverable is the job.

How is Decker different from ChatGPT or Claude?

ChatGPT and Claude provide drafts. Decker provides the agents that ship the final deliverable, the workflows to direct them like a senior operator, and access to expert support when the work needs another set of eyes. Decker is built for the work that happens after the prompt, focusing on structured, operator-led workflows rather than random prompting.

What types of deliverables can I build with Decker?

You can build decks (board, strategy, IC), memos (IC notes, briefs, board reads), models (DCF, sensitivity, scenario), proposals (consulting SOWs, pricing, scope), diligence trackers, research reports, and review tables. All deliverables are editable and can be exported in formats like PPTX.

How does the monetization feature work?

Every deliverable you build or upload to Decker can be redacted for confidentiality, labeled, and turned into AI-ready training data. Through partnerships with model providers, you can earn recurring income from this data. This feature allows you to turn one-off work into a long-term revenue stream.

Decker is currently in beta and offers a free tier. No credit card is required to join. Specific pricing plans and tiers are not provided in the available context. For enterprise co-build and partnership inquiries, users can contact the team at [email protected].