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Dig AI Works

Agentic AI that delivers outcomes

We design and deploy AI agents that automate high-value workflows—securely, reliably, and at scale—so your teams move faster with measurable ROI.

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Built for production from day one

Agentic Workflows

Orchestrate multi-step processes with autonomous agents. Context-aware, tool-using, and aligned with your policies.

Scalable Infrastructure

Cloud-native architecture leveraging containers, queues, and caching—designed for performance, reliability, and cost control.

Measurable Impact

Real KPIs: cycle-time reduction, SLA adherence, and revenue lift. Dashboards included so you can prove value.

Ready to see it work?

Upload a policy doc (or use our samples) and watch Dig AI Works extract entities, flag risks, and propose a quote—live.

🚀 Launch the Demo
Real-time Underwriting Compliance Demo

Turn messy documents into instant risk signals

Upload a policy/compliance doc or pick a sample. We’ll extract entities, flag risks, and suggest a quote — the agentic pipeline, end to end.

Document intake

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No upload leaves the browser in this demo. Replace with your API later.

Pipeline & results

  1. Parsing & entity extraction

  2. Policy checks & risk scoring

  3. RAG insights + pricing

Pick a sample or paste text, then click Run Agentic Analysis.

See Dig AI in action

Watch a quick walkthrough of an agent handling a real-world workflow: triaging a request, fetching data, and executing changes with human-in-the-loop approvals.

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Outcomes across industries

Insurance

Underwriting intake, compliance checks, claims triage.

Financial Services

KYC/AML workflows, customer ops, exception handling.

Retail

Order ops, returns automation, catalog enrichment.

Healthcare

Intake, documentation, prior-auth guidance with guardrails.

Our approach

We combine agentic AI with robust platform engineering. That means secure integrations, observability, human-in-the-loop approvals, and deployment pipelines you can trust. Built by architects with deep experience across cloud, data, and AI/ML in enterprise environments.

  • • Guardrailed agents with policy + role-based permissions
  • • Evaluation harnesses and runbooks for safe rollout
  • • KPI dashboards to track value post-launch
  • • Cloud-agnostic deployment (Vercel, AWS, GCP, Azure)

Ready to transform your workflows?

Let’s talk about your use case and map it to an agentic AI rollout plan.

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