# Xlagent > Xlagent builds finance agents for Private Capital (Private Equity and Real Estate). Its agents extract, structure, validate, and cross-check information from complex documents and spreadsheets, then act on it like an embedded teammate inside a firm's existing tools — with full transparency, auditability, and compliance. Xlagent is the context layer for Private Capital: the system that turns fragmented firm data (contracts, reports, agreements, Excel models) into structured, verifiable context for AI and investment decision-making. Its agents are collaborative (they work as part of your team and pick up work as it arrives), capable (they take on recurring, document-heavy work end to end), embedded (in Excel, Outlook, and your firm's existing systems), and controlled (every output is traceable from source data to final result). Xlagent is built for regulated financial institutions. Client data is never used to train AI models (zero data retention at the model layer by default), is siloed per client in a fully isolated environment, can be deployed in the client's own cloud, and is encrypted at rest (AES-256) and in transit (TLS 1.2/1.3). Xlagent is GDPR compliant, DORA-ready, and offers EU data residency, SSO via SAML, MFA, and deal-level role-based access controls with a full audit trail. ## Key facts - What it is: An AI platform ("finance agents") that automates document- and data-heavy investment workflows for private capital firms. - Who it is for: Private Equity and Real Estate investment teams, and other private capital investors. - What it does: Extracts, structures, validates, and cross-checks data from documents and spreadsheets; monitors portfolios, deadlines, and documents; drafts reports and portfolio overviews; and answers questions grounded in a firm's own data. - How it works: Agents are grounded in each firm's context and standards via a semantic context layer, improve with every interaction, and keep every output auditable and traceable to its source. - Deployment: Delivered as an isolated per-client environment, or deployed in the client's own cloud. - Security & compliance: Not used to train models; siloed per client; AES-256 / TLS 1.2-1.3 encryption; GDPR compliant; DORA-ready; EU data residency. - Pricing: Flexible, based on customer needs, workflow complexity, and platform usage. Contact sales for details. ## Core pages - [Product](https://xlagent.ai/product): Finance agents that work like part of your team: email agents, portfolio overviews, and monitoring, grounded in your firm's context. - [About](https://xlagent.ai/about): Mission and manifesto: bringing agentic AI into core investment processes with transparency, control, and compliance. Trust is the bottleneck; Xlagent is the trusted infrastructure. - [Security](https://xlagent.ai/security): Data protection, isolation, encryption, and compliance posture (GDPR, DORA-ready, EU data residency, SSO/MFA, audit logging) for regulated financial institutions. - [Partners](https://xlagent.ai/partners): Overview for strategic, technology, and integration partners: the problem, product, traction, technology, team, and how Xlagent partners on integrations. - [Contact](https://xlagent.ai/contact): Book a call or get in touch with the Xlagent team. ## News - [Automated credit monitoring with GraydonCreditsafe (May 2026)](https://xlagent.ai/news/automated-credit-monitoring-with-graydon-creditsafe): Graydon Creditsafe customers can now connect their existing API key to Xlagent and turn daily credit data into automated monitoring workflows. - [Xlagent and ChatGPT: a context layer for private capital teams (March 2026)](https://xlagent.ai/news/xlagent-integrates-with-chatgpt): Xlagent is an AI platform for private capital teams that automates document-heavy investment workflows with full traceability. As of March 2026, it integrates directly with ChatGPT. - [Xlagent for email: finance agents with a mailbox (March 2026)](https://xlagent.ai/news/integration-in-workflows-with-email-agents): Xlagent is an AI platform for private capital teams that automates document-heavy investment workflows with full traceability. As of March 2026, it works directly through email. - [Xlagent joins Start it @KBC (March 2026)](https://xlagent.ai/news/xlagent-joins-kbc-start-it-accelerate): Xlagent has joined Start it @KBC Accelerate, strengthening our access to Europe's financial ecosystem and experienced mentors in regulated AI adoption. - [Imec Launch wrap-up (January 2026)](https://xlagent.ai/news/xlagent-joins-the-imec-launch-program): We joined the imec Launch program in late 2025 and came away with sharper convictions on speed and go-to-market. - [Building Xlagent from WAT (beta) (October 2025)](https://xlagent.ai/news/xlagent-joins-wat-beta): Xlagent is now based at WAT(beta), Brussels' experimental hub for early-stage startups. ## Blog - [AI Is Here. Trust Is the Bottleneck.](https://xlagent.ai/news/blog/ai-trust-bottleneck-private-capital): Trust, not capability, is the bottleneck for AI in private capital. Here is why accountability is the foundation Xlagent is built on. - [How to Automate Lease Overviews for a Real Estate Portfolio](https://xlagent.ai/news/blog/automated-lease-overview-real-estate): Xlagent automates lease overviews for real estate firms. One client cut a two-month process to a few days, 90%+ faster, including human review. - [The Four AI Security Risks Every Private Capital Firm Needs to Manage](https://xlagent.ai/news/blog/ai-security-risks-private-capital-firms): The four AI security risks private capital firms need to manage: model training, data retention, shadow AI, and agentic tools. A practical guide for COOs. - [How Xlagent Works With Clients: Discovery, Implementation and Partnership](https://xlagent.ai/news/blog/how-xlagent-works-with-clients): Xlagent implements in eight stages, from workflow discovery and data mapping to pilot, team onboarding and ongoing partnership. Here is exactly what each stage involves. - [Key Contract Date Monitoring for Private Capital Investment Operations](https://xlagent.ai/news/blog/key-contract-date-monitoring-investment-operations): Key contract date monitoring for private capital firms: how AI agents track deadlines across leases, credit facilities, fund agreements, and data rooms automatically. - [AI Investment Memo Drafting: How Private Capital Firms Cut Prep Time from Days to Hours](https://xlagent.ai/news/blog/ai-investment-memo-deal-screening-private-capital): AI automates investment memo drafting for private capital firms, cutting IC memo prep from days to hours using firm-specific templates. - [What Xlagent Does: Automating Document-Heavy Workflows in Private Capital](https://xlagent.ai/news/blog/automating-document-heavy-workflows-private-capital): What Xlagent does: AI agents that automate document-heavy workflows in private capital from extraction and validation to output creation. - [Your Meeting Prep Agent: Instant Portfolio Insights via WhatsApp, Teams or ChatGPT](https://xlagent.ai/news/blog/meeting-prep-agent-whatsapp-teams-chatgpt): How private capital professionals use AI agents in WhatsApp, Teams, and ChatGPT to get instant answers from their data room before meetings. - [How Private Capital Firms Can Automate ESG Reporting](https://xlagent.ai/news/blog/automate-esg-reporting-private-capital): How private capital firms automate ESG reporting: AI agents that aggregate scattered data, validate certifications, and export ready-to-review reports automatically. - [AI Adoption in Private Capital: Where the Competitive Gap Is Already Opening](https://xlagent.ai/news/blog/ai-adoption-private-capital-competitive-gap): AI adoption in private capital is a competitive factor. Early-adopting PE firms are widening their advantage across fundraising, deal access and decisions. - [Why a 10x Employee Doesn't Make a 10x Firm: The Case for Structural AI Automation](https://xlagent.ai/news/blog/structural-ai-automation-vs-productivity-tools): Structural AI automation encodes firm-level workflows for private capital firms, delivering cost control, transparency, and business continuity that individual productivity tools cannot. - [Why Your AI Tools Need to Work Together: MCP, APIs and the Case Against Data Silos](https://xlagent.ai/news/blog/ai-tools-integration-mcp-api-data-silos): Why closed software blocks AI ROI: MCP, APIs and data portability should be non-negotiable criteria for every software purchase your firm makes. - [Automating Asset Valuation Reviews: Faster Insights Across Your Portfolio](https://xlagent.ai/news/blog/asset-valuation-automation-real-estate-private-equity): AI automates the full real estate valuation cycle: lease overview drafting, portfolio monitoring and consultant report validation, cutting days of work to hours. - [Real-Time CapEx and OpEx Overviews: How AI Turns Invoices Into Insight](https://xlagent.ai/news/blog/capex-opex-automation-ai-invoices): AI reads invoices and keeps CapEx and OpEx overviews current in real time, replacing manual spreadsheet updates with automated extraction and variance alerts. - [BREEAM Due Diligence Automation for Real Estate Investors](https://xlagent.ai/news/blog/breeam-due-diligence-automation-real-estate): BREEAM Excellent buildings achieve rents 27% higher and valuations 20% higher. Learn how AI automates BREEAM data room analysis before your acquisition decision. - [KYC Automation for Investment Firms: What It Is and How to Streamline It](https://xlagent.ai/news/blog/kyc-automation-investment-firms): EU AML Regulation and AMLA oversight are tightening KYC requirements. Learn how investment firms automate the document-heavy parts of the KYC process. - [AI Strategy for Private Capital Firms: Start With Your Processes, Not Your Tools](https://xlagent.ai/news/blog/ai-strategy-private-capital-process-transformation): BCG: 60% of companies generate no AI value despite investment. For private capital firms, the fix starts with processes, not tools. A practical framework. - [Automated Portfolio Management Reporting: Less Slide Deck, More Decision-Making](https://xlagent.ai/news/blog/automated-portfolio-management-reporting): Analysts spend 40-60% of their time re-keying portfolio data into templates. AI keeps management decks current without the manual assembly work. - [How to Automate the Investment Committee Memo for Private Capital Firms](https://xlagent.ai/news/blog/investment-committee-memo-automation): How private capital firms are automating investment committee memos: what AI can reliably draft, where human judgment is required, and Xlagent's approach. - [Build vs. Buy AI for Private Capital Firms: The Decision That Costs More Than You Think](https://xlagent.ai/news/blog/build-vs-buy-ai-private-capital-firms): Build vs. buy AI at private capital firms: internal builds succeed one-third as often as bought solutions. The evidence COOs and CFOs need. - [The Future of Finance: How AI Creates an Unfair Advantage in Private Capital](https://xlagent.ai/news/blog/future-finance-ai-advantage-private-capital): The future of finance favors speed and insight quality. Private capital firms that build real AI capability now will be difficult to catch. - [Why Real Estate Investors Are Better Positioned for AI Than Any Other Asset Class](https://xlagent.ai/news/blog/real-estate-investors-ai-advantage): Real estate investors face 200+ documents per deal and repeatable workflows. Here is why AI delivers clearer ROI in real estate than most asset classes. - [Why AI Adoption Stalls in Private Capital: Two Problems Every Firm Needs to Solve](https://xlagent.ai/news/blog/ai-adoption-bottlenecks-private-capital): AI adoption stalls in private capital for two reasons: professionals cannot offload accountability, and AI lacks firm-specific context. Here is how to fix both. - [AI Portfolio Monitoring for Private Capital: From Documents to Decision-Ready Overviews](https://xlagent.ai/news/blog/ai-portfolio-monitoring-private-capital): AI portfolio monitoring for private capital: Xlagent extracts, validates and structures your documents into a decision-ready overview, automatically. - [Xlagent and Microsoft Copilot: How the Integration Works](https://xlagent.ai/news/blog/xlagent-copilot-integration): Xlagent integrates with Microsoft 365 Copilot via MCP, adding validated investment data to the Copilot your team already uses in Word, Excel and Teams. - [Xlagent and ChatGPT: How the Integration Works](https://xlagent.ai/news/blog/xlagent-chatgpt-integration): Xlagent connects to ChatGPT to make validated investment data and processing agents available in your workspace, with a governed publish-and-validate cycle. - [Xlagent and Claude: How the Integration Works](https://xlagent.ai/news/blog/xlagent-claude-integration): Xlagent integrates with Claude via MCP so pre-validated investment data is in context before Claude starts, reducing token costs and improving output accuracy. - [Claude Team vs Enterprise: Which Plan Fits an EU Investment Firm?](https://xlagent.ai/news/blog/claude-team-vs-enterprise-eu-investment-firms): Compare Claude Team vs Enterprise for EU investment firms: GDPR DPA, governance controls, DORA requirements and EU data residency gaps explained. - [Why AI in Private Capital Requires a Partner, Not Just a Platform](https://xlagent.ai/news/blog/ai-partnership-model-private-capital): Microsoft and OpenAI now rely on consulting partners to make AI work in enterprise. Here is why the hands-on partnership model is the only approach that delivers results in private capital. ## Legal - [Privacy Policy](https://xlagent.ai/privacy-policy): How Xlagent handles personal data. - [Terms of Service](https://xlagent.ai/terms-of-service): Terms governing use of Xlagent. - [Cookie Policy](https://xlagent.ai/cookie-policy): How the site uses cookies. - [Subprocessors](https://xlagent.ai/subprocessors): Third-party subprocessors used by Xlagent.