Decker

Decker is an AI-powered Deliverable Operating System designed specifically for mid-to-senior professionals in consulting, private equity, financial services, and operations. It moves beyond simple AI prompting by providing a structured environment where messy files, scattered notes, raw transcripts, and incomplete templates are transformed into polished, review-ready deliverables. This includes high-stakes outputs like board decks, investment committee memos, financial models, proposals, diligence trackers, and executive research reports. The core value proposition is that Decker does not just generate a draft; it 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. It is built for the work that happens after the prompt, turning one-off projects into a system for consistent, high-quality output. Furthermore, Decker introduces a unique monetization layer, allowing users to redact, label, and package their completed work into AI training data for recurring income through partnerships with model providers. The platform is built on three future pillars: Build (ship deliverables with expert help), Learn (operator-led cohorts and masterclasses coming July 2026), and Belong (a peer network of professionals coming July 2026). It is used by operators from MBB, Big Four, bulge-bracket banks, and middle-market PE firms who seek not just speed, but a fundamental improvement in how they structure their thinking and direct AI for professional work.

Deliverable Agents for High-Stakes Work

Decker employs specialized AI agents that handle the heavy lifting behind complex deliverables. These agents are not generic chatbots; they are designed for research, analysis, narrative construction, financial modeling, and production. They transform raw data like messy diligence notes or interview transcripts into a coherent, IC-ready narrative or a structured board deck. This feature allows users to skip the tedious formatting and structuring phase, focusing instead on strategic oversight and refinement.

Operator-Led Workflows

Instead of prompting randomly, Decker provides structured workflows that guide users through the process of building a deliverable. These workflows are designed by senior operators and teach users how to direct AI effectively. This transforms the user from a passive prompter into an active director of AI, ensuring that the output aligns with professional standards for strategy, finance, and consulting. It is a system for learning how to produce better work with AI.

Expert Help on Demand

When a deliverable requires a second brain or a specialized skill set, Decker provides access to an operator network. Users can get expert help on demand for peer reviews, model validation, or narrative refinement. This feature ensures that the final output is not only AI-generated but also vetted and improved by experienced professionals, adding a layer of quality assurance that is critical for high-stakes client work.

Monetization Engine

Decker enables users to turn their deliverables into a recurring revenue stream. Every deliverable built or uploaded can be redacted for confidentiality, labeled with metadata, and packaged into AI-ready training data. Through partnerships with model providers, Decker allows professionals to monetize their expertise and completed work, transforming one-off projects into a source of passive income. This is a cross-cutting feature that changes the economic model of consulting work.

Building Investment Committee Memos in Private Equity

A private equity professional can take a folder of messy diligence notes, management interview transcripts, and financial spreadsheets and input them into Decker. The platform’s agents synthesize this information into a structured, narrative-driven IC memo that is ready for review. The user can then use the operator-led workflow to refine the argument, add sensitivity analysis, and get a peer review from the operator network before presenting to the investment committee.

Crafting Strategy Decks for Consulting Engagements

A strategy consultant at an MBB firm can use Decker to move from a vague client problem to a polished executive narrative. By leveraging the platform’s agents for research and analysis, the consultant can quickly build a data-backed strategy deck. The structured workflows help them direct the AI to create compelling storylines, while the expert network provides a second set of eyes on the final slide deck, ensuring it meets the firm’s high standards for quality and logic.

Developing Financial Models for Due Diligence

A finance professional working on a deal can use Decker to build complex financial models, such as a DCF or scenario analysis. The platform can ingest historical financials and key assumptions, then generate a working model with sensitivity tables. The user can then collaborate with the operator network to validate the model’s logic and assumptions, ensuring the output is robust and defensible for the final diligence report.

Converting Expertise into Training Data for Monetization

A senior operator with years of experience can upload their completed deliverables, such as SOWs, proposals, or analysis reports, into Decker. The platform’s monetization engine allows them to redact client names and sensitive data, label the work by type and industry, and then package it for sale to model providers. This turns their historical expertise into a new, recurring income stream, rewarding them for the high-quality work they have already done.

Who is Decker built for?

Decker is built for mid-to-senior professionals in Private Equity, Consulting, and Financial Services. This includes roles like VPs in middle-market PE, strategy consultants at MBB, and analysts at bulge-bracket banks. It is designed for professionals where the deliverable is the job and who need to produce high-stakes work like IC memos, board decks, and financial models.

How is Decker different from ChatGPT or Claude?

ChatGPT and Claude provide a draft. Decker provides the agents that ship the deliverable, the workflows to direct them like a senior operator, and access to expert support. It is built for the work that happens after the initial prompt, offering a structured system for producing review-ready, professional output rather than a single text generation.

Can I monetize my work on Decker?

Yes, Decker has a unique monetization engine. Every deliverable you build or upload can be redacted, labeled, and turned into AI-ready training data. Through partnerships with model providers, you can turn one-off work into a recurring income stream. This is a core feature that differentiates Decker from other AI tools.

What types of deliverables can I build with Decker?

You can build a wide range of professional deliverables including board decks, strategy presentations, IC memos, briefs, financial models (DCF, sensitivity, scenario), consulting proposals, SOWs, diligence trackers, and executive research reports. All outputs are designed to be editable and review-ready, with decks available in PPTX format.