Private Capital
AI That Reads Your Data Room
Ingest hundreds of documents, cross-reference financials across sources, and surface discrepancies before they become problems. For PE, private credit, VC, and infrastructure funds. Flexible deployment options.
Market Context
The document problem in deals
A typical data room has 200-500 documents. Management accounts say one thing, the vendor DD report says another, and the lease schedule contradicts both. Finding these discrepancies manually takes weeks and expensive advisory hours. Missing one can cost millions post-completion.
CompleteFlow agents ingest entire data rooms, extract structured data from every document, and cross-reference figures across sources automatically. When the revenue in the management accounts doesn't match the audited statements, the agent flags it with source references so your team can focus on the issues that matter.
Use Cases
AI agents for deal teams and portfolio operations
Due Diligence Across Data Rooms
The problem: Data rooms contain hundreds of documents across legal, financial, and commercial categories. Manual review is expensive, slow, and risks missing critical issues buried in appendices or contradictions between sources.
The solution: Agents ingest the full data room, extract key figures from each document, then cross-reference across sources. Does the revenue in the management accounts match the vendor DD report? Do the property addresses in the lease schedule match the title register? The output is a structured exception report with source references.
Financial Statement Cross-Referencing
The problem: Comparing financial data across management accounts, audited statements, tax returns, and third-party reports is tedious and error-prone. Discrepancies hide in different reporting formats and accounting treatments.
The solution: Agents extract financial figures from multiple documents, normalize them into a consistent format, and flag where numbers disagree. Every discrepancy is linked back to the source documents so your team can investigate the ones that matter.
Portfolio Company Reporting
The problem: Producing quarterly monitoring reports across a portfolio means pulling data from multiple reporting packs, management accounts, and market sources. The work is repetitive but the details matter.
The solution: Agents pull data from portfolio company documents, track KPIs against plan, flag covenant triggers, and produce board-ready reports. The workflow runs on a schedule or on demand, with human review gates before distribution.
Covenant and Credit Agreement Monitoring
The problem: Private credit and lending teams track covenants across dozens of borrowers, each with different thresholds, reporting dates, and cure periods. Missing a trigger has real consequences.
The solution: Agents extract covenant terms from credit agreements, monitor borrower reporting packs against those terms, and flag breaches or near-breaches with the relevant clause and source document referenced.
IC Paper and CIM Drafting
The problem: Investment committee papers and CIMs are time-consuming to produce, pulling senior team members into document assembly when they should be making decisions.
The solution: Agents draft from structured data, financial models, and your firm's previous documents. They maintain house style, include relevant market context, and produce first drafts that partners refine rather than write from scratch.
Data Security
Built for confidential deal environments
Deal teams handle some of the most sensitive commercial data in the market. CompleteFlow is designed for this reality:
- ✓ All processing on your cloud tenancy or on-premises. No data leaves your boundary.
- ✓ Encryption keys managed by you through Azure Key Vault or AWS KMS.
- ✓ Deal-level access controls. Agents only see data for deals they are assigned to.
- ✓ Full audit trail of every document accessed and every output produced.
- ✓ No model training on your data. Your deal intelligence stays yours.
Your platform, your workflows
These use cases are starting points, not limits
CompleteFlow is a platform your team configures and extends as your needs evolve. Most firms start with due diligence or portfolio reporting, then expand into deal sourcing, compliance monitoring, investor communications, and internal operations. New agents and workflows can be created without code or a vendor release cycle.
Build your own workflows
Create automations specific to your fund or strategy. LP reporting, ESG data collection, co-investor updates, fee calculations. If it follows steps, you can automate it.
Connect any system via MCP
Agents connect to 10,000+ systems through the Model Context Protocol. Bloomberg, FactSet, Datasite, your CRM, accounting systems. New integrations without custom development.
Scales across your firm
Start with one deal team. Expand to portfolio monitoring, investor relations, compliance, and back office. Per-user permissions mean every team gets exactly what they need.
You own what you build
Every agent and workflow belongs to you. Export, modify, or extend them. No vendor lock-in. No dependency on our roadmap for your operational needs.
Most firms discover their highest-value use cases in the first few weeks. Book a strategy session and we will map the opportunities across your operations.
Deal Sourcing in Detail
How AI-powered deal sourcing works
Define your criteria
Sector focus, revenue range, geography, growth profile, ownership type. The agent learns your investment thesis and screening preferences.
Monitor deal flow
Agents scan deal databases, broker circulars, Companies House filings, news, and your CRM. New opportunities are scored and ranked against your criteria.
Review curated shortlists
Your team receives structured deal summaries with key financials, relevant context, and source links. Time spent on initial screening drops dramatically.
Frequently asked questions
What data room platforms do you support? +
Agents can ingest documents from Datasite, Intralinks, and similar platforms. They handle PDFs, Word documents, Excel spreadsheets, scanned documents, and mixed formats. Documents are processed within your deployment environment.
How does cross-referencing work? +
Agents extract structured data from each document, then compare figures across sources. When the revenue in the management accounts differs from the audited statements, the agent flags it with references to both source documents.
Where does our deal data go? +
Your data stays in your chosen deployment environment. CompleteFlow offers managed cloud, private cloud, or on-premises deployment. Deal data, financial models, and IC materials never leave your environment. Zero training on your data.
Can we choose which AI model to use? +
Yes. Works with any state-of-the-art model: Anthropic Claude, OpenAI, Google Gemini, Azure OpenAI, and open-weight models. Assign different models per task: a fast model for document classification, a powerful model for financial analysis.
How quickly can we get started? +
Six weeks from kickoff to first production workflows. We handle platform deployment, data room integration, and team training. Most firms start with due diligence document analysis.
See how AI agents can accelerate your deal flow
Book a 30-minute call to discuss deal sourcing, due diligence, or portfolio monitoring for your firm.
Book a Strategy Session