Get Your Enterprise Agent Ready

Built for Control.
Engineered for Action.

Walt brings agentic intelligence to your structured data — enabling natural language to drive trusted insights and enterprise action, all within your secure environment.

Works Seamlessly With Your Data Stack

Walt connects directly to your warehouse or lakehouse, understands your schema, and builds the context it needs — without moving your data or adding layers of complexity.

Enterprise-Ready AI Data Agents

Secure, adaptable, and built for modern, trust-driven data teams.

Keep control where it matters most.

Human-in-the-Loop Workflows

Walt integrates human decision-makers into every step that needs it — from metric approvals to SQL reviews. Your team can monitor agent behavior, review proposed changes, and enforce logic gates before anything goes live.
• Approve or reject agent-generated SQL
• Review and version metric definitions
• Add custom prompts, rules, or constraints
• Escalate high-risk queries to humans

Walt augments your team — not replaces them. Human oversight is built into the loop.
Bring your own models, metrics, and logic.

Custom Schema & Semantic Onboarding

Walt can ingest and adapt to your custom schemas, dbt models, LookML layers, and business metric logic — building its contextual layer on top of what you’ve already defined.
• Import or infer join paths and model logic
• Map business metric definitions to tables
• Tag sensitive fields or override assumptions
• Fully compatible with dbt, Looker, and custom stacks

Walt meets you where you are — and builds intelligence around your existing work.
We support you every step of the way.

Enterprise Enablement & Partner Success


From onboarding your first schema to running Walt across multiple business units, our enterprise support team works with your leads to ensure success.
• Technical workshops with data & analytics teams
• Integration assistance with internal tools
• Custom use case onboarding
• Dedicated success partner & Slack channel

We don’t just hand you Walt. We build with you until your team is confident in using it.
Prove performance. Measure improvement. Repeat.

Evaluation Infrastructure Built In

Walt comes with a built-in evaluation framework designed for enterprise-grade quality assurance. Every answer is measured against goals like accuracy, consistency, cost, and latency — then improved continuously via agentic execution.
• 100+ test questions across common data scenarios
• Track performance by data source or metric
• Compare human vs. agent results
• Run evaluations on dev, staging, and production

Accuracy isn’t a promise — it’s a measurable output in Walt.

FAQs

Send any questions to support@thewalt.ai
How does Walt integrate with our existing data systems?
Walt connects directly to your structured data sources like Snowflake, BigQuery, Databricks  through secure APIs or warehouse credentials. If you need help with connecting to any of the SAAS applications you might have not connected to a warehouse yet, we can help set that up for you as well.

Our onboarding team helps map your schema and ensure Walt understands your business context out of the box.
Where is our data stored? Is it secure?
You can deploy Walt:
• In your Virtual Private Cloud (VPC)
• Or allow read-only access to specific datasetsWalt is built with SOC 2 Type II-compliant infrastructure, supports audit logs, access controls, and integrates with enterprise identity providers like Okta, Azure AD, and Google Workspace.
How does Walt ensure accurate answers from our data?
Walt uses a multi-step evaluation framework for:
• SQL correctness
• Metric consistency
• Output validation
• Metadata alignmentEach answer is auditable, explainable, and supported by query traceability.

You can even review the underlying SQL or data lineage.
Can non-technical business users use Walt?
Yes. Walt is built for everyone—from data analysts to merchandisers to executives. Just ask questions in plain English. Walt understands business terms, joins datasets behind the scenes, and delivers visual answers in real time.
What’s the difference between Walt and traditional BI tools?
Walt is not just a dashboard tool. It’s an agentic AI layer that:
• Understands your business logic
• Writes and explains SQL
• Automates exploration, not just visualization
• Pulls in both internal and external data sources.

Unlike dashboards, Walt is conversational, dynamic, and context-aware.
How quickly can we see value?
Most enterprise teams see insights flowing within 2–3 weeks:
• Week 1: Secure access + context mapping
• Week 2: Initial thread testing with business teams
• Week 3: Live usage, feedback loop, and extensions.

You don’t need to re-architect your stack—Walt fits into it.
Can we customize how Walt interprets our data or metrics?
Yes. Walt supports:
• Semantic model extensions for business terms
• Custom SQL templates
• Business rule definitions
• Tailored metric definitions per team or geography

Our onboarding agents help you configure it based on your needs.
How does Walt handle experimentation or A/B test data?
Walt understands variant structures, control vs. treatment arms, and can explain statistically significant outcomes. We’re also building deeper causal analysis capabilities so you can move beyond correlation toward insight attribution.
What if our data isn’t fully clean or AI-ready yet?
That’s okay. Walt includes agents that:
• Assess data quality and completeness
• Flag schema inconsistencies or gaps
• Provide suggestions for improving data readiness

You can start small with key datasets and expand as needed.