# Capitol AI

Governed AI workflows for enterprise teams working with proprietary data and expertise.

- Findings24: <https://findings24.com/ru/tools/capitol>
- Сайт: <https://capitol.ai>
- Цены: Freemium
- Категории: Автоматизация рабочих процессов с ИИ

## Что такое Capitol AI?

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.

## Что умеет Capitol AI?

### 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.

### Workflow design

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.

### Model routing

Select OpenAI, Anthropic, or open models for individual steps according to capability, cost, latency, and quality requirements. Change model providers without rebuilding the process.

### Built-in execution tools

Run deep web search, transcription, spreadsheet work, analysis, deck creation, web apps, and publishing within workflows.

### Access controls and lineage

Set permissions by role, team, workflow, source, or agent. Trace results back to the data, steps, and decisions that produced them.

### Evaluation and cost visibility

Assess accuracy and relevance, retain workflow records and agent logs, and inspect AI usage and costs to guide quality checks and model selection.

## Варианты использования

### M&A company assessment

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.

### Research synthesis

Combine internal documents with public sources and live research to prepare sourced findings that reviewers can inspect and reuse.

### Operating model assessment

Encode consulting methods for evaluating a company’s current operating model, giving distributed teams a common process for producing assessments.

### Client presentation preparation

Turn analysis into decks and data visualizations. EY’s documented workflows include these deliverables alongside commercial due diligence and competitive benchmarking.

## Часто задаваемые вопросы

### Who defines how a workflow runs?

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.

### What outputs can Capitol AI produce?

The platform supports reports, models, filings, decks, spreadsheets, web apps, and published artifacts, with attribution and review incorporated into the process.

### Can teams keep using their existing data sources?

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.

### How can an organization get started?

The website offers a Request a Demo flow for organizations exploring the platform.

## Краткие сведения

- **Product type**: Enterprise AI workflow platform
- **Primary users**: Institutional teams and subject-matter experts
- **Documented customer**: EY Strategy and Transactions
- **Website**: https://capitol.ai