Wilson

Product Introduction

1. Definition: Wilson is a Slack-native AI coworker built on the Dynamiq sovereign agentic OS. It is an autonomous artificial intelligence agent designed to perform direct work within team communication platforms, specifically executing tasks by generating finished artifacts like reports, dashboards, presentations, and code, rather than providing mere advice or suggestions.

2. Core Value Proposition: Wilson eliminates the gap between request and deliverable in team workflows. Its primary purpose is to automate the production of business-critical work files by directly integrating with and querying a company's operational tools (e.g., Stripe, HubSpot, GitHub, Meta Ads). It delivers completed, formatted outputs (PDFs, XLSX, PPTX, deployed web apps) directly back into Slack threads, functioning as an executable coworker for departments spanning finance, marketing, operations, and engineering.

Main Features

1. Secure Cloud Workspace & Artifact Generation: Wilson possesses its own isolated, secure cloud computing environment. When given a task, it writes and executes code within this workspace to query APIs, process data, and build outputs. For example, when asked for a board deck, it will connect to Stripe for revenue data, an HRIS for headcount, and a CRM for pipeline, then assemble and export a polished PDF presentation. This contrasts with typical AI that generates text; Wilson produces deployable, finished artifacts.

2. Native Tool Integration & Autonomous Execution: The agent connects natively to thousands of SaaS tools (Salesforce, GitHub, Google Sheets, etc.) via a secure backend gateway. API credentials are injected at execution time and are never exposed to the model. Wilson operates autonomously to pull real numbers, run analyses, and build outputs. For marketing audits, it can simultaneously query Meta Ads, Google Ads, and CRM data to perform a cross-platform spend analysis and reallocation recommendation in a single run.

3. Policy Engine & Human-in-the-Loop Governance: Built on the Dynamiq OS for regulated industries, Wilson incorporates enterprise-grade controls from the outset. Every sensitive action—such as pushing code via a pull request, emailing a customer, or moving financial data—requires explicit human approval before execution. It features Role-Based Access Control (RBAC), workspace isolation, a full audit trail for every action, and a policy engine that lets admins define which tools and actions are permitted for which users. This ensures compliance with frameworks like SOC 2, HIPAA, and GDPR.

Problems Solved

1. Pain Point: The "ask-to-delivery" lag in cross-functional work, where employees face long backlogs for engineering, data analysis, or design requests for simple but time-consuming deliverables like reports, internal tools, or code fixes.

2. Target Audience:

   • Founders & CEOs: Needing real-time business metrics and automated investor updates.
   • Marketing Managers: Drowning in multi-platform ad spend audits and campaign reporting.
   • Operations & Finance Teams: Burdened with manual assembly of board packs, QBRs, and internal approval workflows.
   • Engineering Teams: Overwhelmed with requests for small internal tools, bug fixes, and documentation.

3. Use Cases:

   • Automated Board Deck Assembly: Pulling live financial and operational data from Stripe, HubSpot, and HRIS tools to generate a complete, formatted board presentation monthly.
   • Cross-Platform Ad Spend Audits: Automatically analyzing performance across Meta Ads and Google Ads to identify waste and propose reallocation plans with specific financial savings.
   • Rapid Internal Tool Deployment: Building and deploying functional web applications with user authentication, databases, and role-based access in minutes, bypassing traditional engineering tickets.
   • End-of-Day Ad-Hoc Data Pulls: Quickly generating project profitability spreadsheets or key performance reports from integrated data sources on short notice.

Unique Advantages

1. Differentiation: Wilson differs fundamentally from conversational AI assistants (like ChatGPT) or AI copilots embedded in specific apps. It ships finished work, not advice. While other tools might draft a bullet-point outline, Wilson generates the complete, formatted PDF or functional web app. It also differs from traditional automation tools (like Zapier) by possessing an autonomous reasoning layer that can understand complex, multi-step business requests and execute them without rigid pre-defined workflows.

2. Key Innovation: The core innovation is the combination of a Slack-native agent interface with the Dynamiq sovereign agentic operating system. This provides a user experience of natural conversation within an existing work tool (Slack), while leveraging an OS designed for secure, governed, and auditable autonomous action in regulated environments. This architecture enables "skills" (like building a dashboard or auditing ad spend) to be executed with full enterprise controls, audit logs, and the ability to fine-tune open models on proprietary company data within a secure perimeter.

Frequently Asked Questions (FAQ)

1. How does Wilson handle my company's sensitive data and credentials? Wilson is built with enterprise security as a foundational layer. API keys and credentials are injected by a backend gateway at execution time and are never visible to or stored by the AI model. All data processing and tool execution occur within an isolated, secure workspace. Your data is never used to train the model, and role-based access controls let administrators govern precisely who can use which integrations and features.

2. What makes Wilson different from using ChatGPT or other general AI for these tasks? General AI models like ChatGPT generate text-based responses or code snippets but cannot autonomously connect to your live tools, execute that code in a secure environment, and deliver a packaged, finished file like a PDF or deployed app. Wilson is an agentic coworker that completes the entire workflow from data retrieval to final artifact delivery, with built-in safety approvals for sensitive actions.

3. Does Wilson require technical knowledge to use? No, Wilson is designed for natural language interaction within Slack. You ask for what you need in plain English, as you would ask a human colleague (e.g., "Build our October board deck" or "Audit last month's paid spend"). The technical complexity of querying APIs, processing data, and generating outputs is handled entirely by Wilson's autonomous engine.

4. What types of files and outputs can Wilson create? Wilson can generate a wide variety of professional artifacts, including board-ready PDFs, dashboards, polished presentations (PPTX), spreadsheets (XLSX), internal web applications with databases and user login, and actual code on feature branches via pull requests with release notes.

5. How is pricing structured for teams? Wilson uses a simple, credit-based pricing model. Teams share a pool of monthly credits, with each task (report generation, dashboard build, code deployment, etc.) consuming a set number of credits. Tiered plans (Team and Enterprise) offer different credit limits and features like custom invoicing, SSO, and dedicated onboarding, allowing companies to scale usage as needed.