Decker

Decker is an AI-powered deliverable operating system built specifically for mid-senior professionals in consulting, private equity, financial services, and operations. It transforms the way high-stakes work gets done by turning messy files, notes, transcripts, and templates into review-ready deliverables like decks, memos, models, reports, analyses, and diligence trackers. Unlike generic AI tools that stop at a draft, 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. The platform is designed for the work that happens after the prompt, enabling users to capture, annotate, and package their expertise for future reuse and monetization. Decker is built on four core pillars: Build, Learn, Belong, and Earn. Users can build review-ready deliverables with expert help on demand, learn operator-led workflows for producing better work with AI, belong to a peer network of consultants, investors, and operators, and earn by turning deliverables into AI training data through partnerships with model providers. The product is used by professionals from MBB, Big Four, bulge-bracket banks, middle-market PE, growth equity, Fortune 500 companies, global consultancies, and family offices. Decker is more than an AI deck and document maker; it is a complete system for shipping sharper deliverables, sharpening yourself, and doing it in good company.

Intelligent Deliverable Agents

Decker deploys specialized AI agents that handle the heavy lifting behind high-stakes deliverables. These agents perform research, analysis, narrative construction, financial modeling, and production tasks autonomously. Instead of prompting randomly, users direct these agents using structured workflows that mimic the thinking of a senior operator. The agents learn from your inputs and continuously improve their output quality over time, turning messy notes and transcripts into polished, review-ready materials that require minimal editing before presentation to stakeholders.

Operator-Led Workflows

The platform provides pre-built, operator-designed workflows that guide users through the entire deliverable creation process. These workflows are crafted by experienced consultants, investors, and finance professionals who understand the nuances of high-quality work. Each workflow breaks down complex tasks into manageable steps, from structuring a strategic narrative to building a financial model. Users can customize these workflows to match their specific needs and reuse them across projects, ensuring consistency and continuous improvement in every deliverable they produce.

Expert Help on Demand

When the work needs another set of eyes or specialized expertise, Decker connects users with a network of experienced operators available for peer reviews, model validation, and narrative feedback. This feature bridges the gap between AI-generated drafts and expert-approved final products. Users can request help with specific sections, get feedback on structure and logic, or collaborate on complex analyses. The expert network includes professionals from top consulting firms, investment banks, and private equity funds, providing a level of quality assurance that generic AI tools cannot match.

Deliverable Monetization Engine

Every deliverable built or uploaded to Decker can be redacted, labeled, and turned into AI-ready training data. This unique feature transforms one-off work into a recurring income stream through partnerships with model providers. Users retain ownership of their intellectual property while earning from its value as training material. The monetization engine includes tools for anonymizing sensitive information, categorizing deliverables by type and quality, and tracking earnings. This creates a virtuous cycle where better work leads to better training data, which in turn improves the AI agents that help produce even better work.

Investment Committee Memo Preparation

Private equity professionals use Decker to turn messy diligence notes, management transcripts, and financial data into IC-ready investment committee memos. The platform structures the narrative around key investment themes, risk factors, and return projections. Users can direct the AI agents to focus on specific areas like competitive positioning or operational improvements. The resulting memo is formatted for executive consumption, with clear summaries, supporting evidence, and actionable recommendations. One VP at a middle-market PE firm noted that Decker turned their messy diligence notes into an IC-ready narrative, with the bigger unlock being learning to structure the work better.

Strategy Deck Creation for Consulting Engagements

Management consultants leverage Decker to build board-ready strategy decks from scratch or from existing materials. The platform helps structure executive narratives, develop storyline frameworks, and create visually compelling slides that communicate complex ideas clearly. Users can upload client transcripts, market research reports, and internal notes, and Decker synthesizes these into a coherent strategic narrative. The workflow guides consultants through hypothesis generation, analysis, and recommendation development, ensuring each deck tells a compelling story that drives decision-making. A strategy consultant at MBB shared that they came for AI deck generation but stayed for the workflows, which made them much better at directing AI instead of prompting randomly.

Financial Model Development and Review

Finance professionals use Decker to build and review financial models including DCF analyses, sensitivity scenarios, and valuation trackers. The platform provides templates and workflows that reflect industry best practices, while the AI agents handle data gathering, formula construction, and scenario testing. Users can upload historical financials, market assumptions, and transaction data, and Decker generates a robust model with clear documentation. The expert review feature allows users to get a second opinion on model assumptions and outputs from experienced financial professionals, reducing the risk of errors in high-stakes transactions.

Diligence Tracker Management for M&A

Investment professionals use Decker to manage the entire due diligence process through structured trackers that capture findings, evidence, follow-up items, and risk assessments. The platform ingests data from multiple sources including data rooms, management interviews, and third-party reports, then organizes it into a comprehensive diligence framework. Users can assign action items, track progress, and generate summary reports for deal team meetings. The continuous improvement aspect means that each diligence engagement refines the workflows and templates, making future deals more efficient and thorough.

Who is Decker designed for?

Decker is built for mid-senior professionals in private equity, consulting, financial services, and operations. It is specifically designed for individuals and teams where the deliverable is the core of the job. This includes investment professionals creating IC memos and diligence trackers, consultants building strategy decks and proposals, and finance professionals developing models and transformation programs. The platform is used by operators from MBB, Big Four, bulge-bracket banks, middle-market PE, growth equity, Fortune 500 companies, global consultancies, and family offices.

How is Decker different from ChatGPT or Claude?

ChatGPT and Claude provide a draft, but Decker provides the agents that ship the 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. It offers structured, operator-designed workflows that guide users through complex deliverable creation, specialized AI agents that handle research, analysis, modeling, and production, and a peer network for expert reviews and collaboration. The platform also includes a unique monetization engine that turns deliverables into AI training data for recurring income.

Can I export deliverables from Decker to other formats?

Yes, Decker supports exporting deliverables in multiple formats suitable for professional use. Decks can be exported as editable PPTX files for board presentations, strategy meetings, and IC sessions. Memos and reports can be exported as PDF or Word documents. Models can be exported as Excel files with all formulas and scenarios intact. This ensures that users can seamlessly integrate Decker into their existing workflow and share deliverables with stakeholders who may not be on the platform.

What is the monetization feature and how does it work?

The monetization feature allows users to turn their deliverables into AI training data and earn recurring income. Every deliverable built or uploaded to Decker can be redacted to remove sensitive information, labeled by type and quality, and packaged for use by model providers. Decker partners with model providers who pay for high-quality training data. Users retain ownership of their intellectual property and control what gets shared. The process is designed to be seamless, with tools for anonymization, categorization, and earnings tracking built directly into the platform.