Data connection and preparation
Bring together documents, databases, spreadsheets, repositories, public sources, and live data. Normalize formats and reconcile fragmented inputs into context workflows can use.
Governed AI workflows for enterprise teams working with proprietary data and expertise.
Capitol AI is an enterprise AI platform that turns institutional data, expertise, and processes into repeatable workflows. It combines data preparation, model orchestration, tools, evaluation, and approvals to produce finished work within the customer’s environment.
Teams encode their methods into shared processes that specify how AI and people contribute. The platform supports knowledge-intensive work such as consulting analysis and research synthesis, with records that connect outputs to the sources and decisions behind them.
Bring together documents, databases, spreadsheets, repositories, public sources, and live data. Normalize formats and reconcile fragmented inputs into context workflows can use.
Define source retrieval, business rules, model calls, tools, approvals, and human review. Subject-matter experts can use Composer to encode methods into reusable team workflows.
Select OpenAI, Anthropic, or open models for individual steps according to capability, cost, latency, and quality requirements. Change model providers without rebuilding the process.
Run deep web search, transcription, spreadsheet work, analysis, deck creation, web apps, and publishing within workflows.
Set permissions by role, team, workflow, source, or agent. Trace results back to the data, steps, and decisions that produced them.
Assess accuracy and relevance, retain workflow records and agent logs, and inspect AI usage and costs to guide quality checks and model selection.
Analyze financials, filings, and deal materials to produce company assessments and competitive context. The EY case study describes these workflows for M&A and private equity teams.
Combine internal documents with public sources and live research to prepare sourced findings that reviewers can inspect and reuse.
Encode consulting methods for evaluating a company’s current operating model, giving distributed teams a common process for producing assessments.
Turn analysis into decks and data visualizations. EY’s documented workflows include these deliverables alongside commercial due diligence and competitive benchmarking.
Subject-matter experts define the process, including sources, rules, tools, model choices, and review points. Workflows can then be shared across teams and evaluated as reusable institutional methods.
The platform supports reports, models, filings, decks, spreadsheets, web apps, and published artifacts, with attribution and review incorporated into the process.
Capitol connects to sources teams already use and governs access where the data lives. Its website illustrates Amazon S3, Google Drive, and Microsoft Azure in the data layer.
The website offers a Request a Demo flow for organizations exploring the platform.
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