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Decker

Decker transforms AI drafts into client-ready deliverables with expert workflows, peer support, and monetization for consultants.

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About Decker

Decker is an AI-powered Deliverable Operating System (OS) designed specifically for mid-to-senior professionals in high-stakes environments like Private Equity, Consulting, and Financial Services. Unlike generic AI chat tools that produce rough drafts, Decker is built for the work that happens after the prompt. It transforms messy, unstructured inputs—files, notes, transcripts, and templates—into polished, review-ready deliverables such as board decks, IC memos, financial models, proposals, and diligence trackers. The platform operates on four core pillars: Build, Learn, Belong, and Earn. The Build pillar provides specialized AI agents that handle the heavy lifting of research, analysis, narrative construction, and production, with access to expert help on demand. The Learn pillar, coming in July 2026, will offer operator-led cohorts and masterclasses focused on producing better work with AI. The Belong pillar will create a peer network of consultants, investors, and operators. Critically, the Earn pillar allows users to monetize their expertise by turning every deliverable they build or upload into redacted, labeled AI training data, generating recurring income through partnerships with model providers. Decker is used by professionals from MBB, Big Four, bulge-bracket banks, middle-market PE, growth equity, Fortune 500 companies, and family offices. It shifts the user from a random prompter to a senior operator who directs AI workflows with precision, ensuring every output is structured, credible, and ready for the boardroom.

Features of Decker

Agent-Based Deliverable Construction

Decker employs specialized AI agents that go far beyond simple text generation. These agents handle the entire heavy lift behind high-stakes deliverables, including deep research, quantitative analysis, narrative structuring, financial modeling, and professional production. Users can direct these agents like senior operators, providing context and constraints rather than vague prompts, resulting in outputs that are structurally sound and immediately usable in a professional context.

Expert Help on Demand

When a deliverable requires a second brain or specialized insight, Decker provides access to a network of expert operators. This feature bridges the gap between AI capability and human judgment, allowing users to get peer reviews, masterclass insights, and direct support from experienced professionals in consulting, private equity, and finance. It ensures that complex or nuanced work never gets stuck at the AI's limitations.

Monetization Engine for Deliverables

Decker’s unique monetization feature transforms every completed deliverable into a potential income stream. Users can redact sensitive information, label their work with appropriate metadata, and submit it to become AI training data. Through partnerships with model providers, this one-off work is converted into recurring, passive income. This creates a powerful incentive for users to produce high-quality work and share their expertise.

Professional Workflow Orchestration

Instead of relying on random prompting, Decker provides structured, operator-led workflows that guide the AI to produce consistent, high-quality results. These workflows are designed for specific deliverables like IC memos, strategy decks, DCF models, and diligence trackers. Users learn to direct the AI with precision, improving both the speed and quality of their output while building a repeatable system for their most common tasks.

Use Cases of Decker

Private Equity IC Memo and Diligence Production

A VP at a middle-market PE firm can upload messy diligence notes from a target company, including financial statements, management interview transcripts, and market research. Decker’s agents structure this raw data into a coherent, IC-ready narrative that includes investment thesis, risk analysis, valuation scenarios, and a diligence tracker with follow-up items. The result is a polished, boardroom-ready memo that saves hours of manual synthesis.

Consulting Strategy Deck and Proposal Creation

A strategy consultant at MBB needs to create a client-ready deck for a new engagement proposal. Decker takes the consultant’s rough notes, industry research, and scope documents, then generates a full strategy deck with executive narratives, competitive analysis, and a detailed SOW. The output is an editable PPTX file that the consultant can refine, ensuring the proposal is both persuasive and professionally structured.

Financial Modeling and Scenario Analysis

A finance professional in a bulge-bracket bank needs to build a DCF model with sensitivity and scenario analysis for a client presentation. Decker ingests historical financial data and assumptions, then generates a fully functional model with clear outputs, scenario tables, and executive-ready summaries. The user can direct the AI to adjust assumptions, run new scenarios, and produce the final model in a fraction of the usual time.

Monetizing Expertise Through Training Data

A seasoned operator with years of experience in growth equity can upload their library of past board decks, memos, and models. Using Decker’s redaction and labeling tools, they prepare this work for AI training. The platform then facilitates a partnership with a model provider, turning the operator’s accumulated expertise into a recurring income stream, effectively monetizing knowledge that was previously locked in static files.

Frequently Asked Questions

How is Decker different from ChatGPT or Claude?

Decker is purpose-built for the specific, high-stakes deliverables that consultants, investors, and finance professionals produce daily. While ChatGPT and Claude generate general drafts, Decker provides specialized agents that understand the structure of an IC memo, a DCF model, or a strategy deck. It also offers expert human support, structured workflows, and a unique monetization engine that generic AI tools do not provide.

Who is Decker designed for?

Decker is built for mid-to-senior professionals in Private Equity, Consulting, and Financial Services. This includes VPs at PE firms, strategy consultants at MBB and Big Four, analysts at bulge-bracket banks, and operators at Fortune 500 companies. It is for professionals where the deliverable is the job and where speed, precision, and credibility are non-negotiable.

Can I monetize my work on Decker?

Yes, the Earn pillar of Decker allows you to turn your deliverables into recurring income. You can upload or build any deliverable, redact sensitive information, label it appropriately, and submit it to become AI training data. Decker facilitates partnerships with model providers, so your expertise generates passive revenue over time.

What types of deliverables can I create with Decker?

Decker supports a wide range of high-stakes business documents. You can create board decks, strategy decks, IC memos, diligence trackers, financial models (DCF, sensitivity, scenario), consulting proposals, SOWs, research reports, and executive narratives. All outputs are professionally formatted and can be exported as editable PPTX or other standard formats.

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