o11

A second critical feature is the firm context layer, which unifies deal history, portfolio knowledge, internal policies, firm templates, and relationship context into a single, accessible AI layer across the entire organization. This layer allows the AI agents to understand the firm's unique terminology, past deal structures, standard operating procedures, and preferred output formats. When an analyst requests a new model or memo, the AI draws upon this centralized knowledge to ensure the output aligns with how the firm has handled similar situations in the past, maintaining consistency and leveraging institutional memory. This context transforms a generic AI tool into a bespoke assistant that speaks the firm's language and operates within its established workflows, making the automation both powerful and trustworthy for regulated, detail-sensitive financial work.

The platform offers extensive integrations and plugins into the specialized financial applications that firms rely on, connecting market data, research platforms, data rooms, and deal execution systems. It supports integrations with data providers like Capital IQ, FactSet, PitchBook, Bloomberg, LSEG, Preqin, and Morningstar, as well as research platforms like AlphaSense and Tegus. It also connects to deal execution tools such as DealCloud, MadeMarket, Datasite, and Intralinks, and supports DocuSign for document workflows. These integrations allow o11's AI agents to pull in external data, analyze filings and market information, review data-room documents, and incorporate this intelligence directly into the Microsoft 365 workflows, creating a seamless bridge between external intelligence and internal document production.

o11's overall approach is to embed AI directly into the existing workflow of financial professionals without requiring them to learn new software or change their habits. The methodology centers on a chat-like interface within familiar applications like Excel and PowerPoint, where users can type natural language requests such as 'Ask anything…' to initiate tasks. The AI, powered by the firm context layer and connected integrations, then executes the task by manipulating the open document, spreadsheet, or presentation. This could involve generating content, reformatting data, checking formulas, creating charts, or drafting text based on the firm's templates and the data at hand. The workflow is designed to be iterative and collaborative, allowing users to review, edit, and refine the AI's output directly within the native application, ensuring final control and accuracy.

Concrete use cases demonstrate significant time savings and improved outcomes. In investment banking, teams automate the creation of buyer lists, data-room review, CIM drafts, and client-ready output for pitch and diligence processes, leading to faster execution cycles. Private equity deal teams use it to move from sourcing to diligence to portfolio company monitoring with agents tuned to their specific templates, accelerating due diligence and portfolio reporting. Hedge funds connect filings, market data, internal notes, and watchlists to generate faster research and risk assessments, while asset managers standardize research, reporting, portfolio commentary, and client materials across multiple investment strategies. For private credit, the AI analyzes borrower documents, covenant packages, financials, and amendments for credit memos and monitoring, and wealth managers generate personalized client reviews, portfolio notes, and onboarding packets without manual effort.

The target users are specifically financial services professionals, including analysts, associates, and teams in investment banking, private equity, hedge funds, asset management, private credit, wealth management, insurance, capital markets, family offices, and finance operations. The platform is built for regulated environments, offering SOC 2 certification, encryption at rest and in transit, granular audit logs, SSO/IAM integration with Okta and Azure AD, role-based access controls, and flexible deployment options including managed SaaS, private cloud/VPC, and on-premises installations to meet data residency requirements. It operates across Microsoft 365 and Google Workspace, integrating with the core tech stack of financial firms. The summary takeaway is that o11 delivers bespoke, secure, and deeply integrated AI automation that transforms time-consuming manual workflows into rapid, consistent, and compliant outputs, giving financial firms a decisive edge in speed and quality.

Updated 2026-02-28