An AI Platform When Failure is Not an Option

dais is an execution platform designed to make AI practical, dependable, and productive in real enterprise environments. Many organizations struggle to move AI beyond experimentation because the surrounding systems are not built for governance, cost control, or long-term use. dais addresses this by providing a stable platform where AI workflows operate with built-in oversight, observability, and reliability from the start. This allows organizations to deploy AI with confidence, knowing how it behaves, what it costs, and how it performs over time.

The platform is outcome-driven. dais is not focused on models or novelty, but on solving specific business problems such as reducing operational delay, increasing capacity, and lowering cost without adding risk. By separating workflows from underlying models and handling the complexity of execution, dais allows organizations to move quickly, adapt as conditions change, and scale what works without repeated rework or specialized hiring. The result is AI that delivers measurable business impact and continues to perform as requirements evolve.

The Hedge Fund Sector and Events Intelligence Workflow provides a structured way for portfolio managers to stay current on the sectors they cover and to identify the events that create meaningful opportunities for direct engagement with management. It continuously gathers and organizes sector-specific news, market developments, and relevant industry events in real time, replacing the fragmented and manual process of monitoring multiple sources.

The workflow evaluates relevance and prioritizes developments so portfolio managers can focus on the conferences, briefings, meetings, and updates that directly affect their portfolios. At the same time, it distributes concise and consistent intelligence to the broader investment team, ensuring all stakeholders are operating from the same current information.

Firms using this workflow materially reduce staff time spent on information gathering and coordination. Decision speed improves. Internal alignment strengthens. Portfolio managers operate with timely, complete, and dependable intelligence—allowing them to act while information is still actionable rather than retrospective.

The Accounting Intake Workflow provides a structured, reliable way for large accounting firms to collect and manage the documents required for complex  tax returns. It systematically ingests and organizes client financial statements, schedules, and supporting materials, giving teams immediate visibility into what has been received and what remains outstanding.

When required documents are missing, the workflow identifies the gaps and routes follow-up requests to the appropriate accountant, removing the need for manual tracking, repeated emails, and status meetings. The result is a faster and more predictable intake process that reduces coordination and rework, increases overall capacity, and allows firms to prepare a significantly higher volume of returns each year without adding staff—while improving accuracy, accountability, and client responsiveness.

Public records requests are increasing in volume and complexity, while cities and counties must meet strict statutory deadlines with limited resources. Public records requests require agencies to locate, review, and deliver documents across departments, data stores (internal data from internal systems), and email systems. The challenge is not transparency, but managing the coordination required to respond accurately and on time. The dais FOIA AI Workflow connects directly to internal systems and data stores to intake and process requests from submission through preparation of a complete response.
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Our workflow gathers relevant records, organizes materials, tracks deadlines, and documents each step of the process. When judgment is required in complex cases, staff review the materials, confirm redactions, and approve the final release before delivery.

The result is a structured and largely automated process that reduces staff workload, shortens response times, and provides a clear audit trail for oversight. Agencies respond more consistently, with less manual coordination, while maintaining full accountability.