Stop piloting AI.Start running it.
We turn AI experiments into governed, production-grade workflows that deliver real business value — not proof-of-concepts that die in staging. Every LLM integration we build is auditable, repeatable, and trusted by the business.
Your AI pilots are working. Your AI programs aren't.
Most enterprises have run AI pilots. Very few have operationalized them. The gap between "impressive demo" and "trusted production workflow" is where AI initiatives stall — and where DataWalkers works.
- Pilots succeed, production fails — AI models perform in sandbox but break on real enterprise data at scale.
- No governance, no trust — business leaders won't act on AI outputs they can't audit or explain to regulators.
- LLM integrations built by experimentation — stitched together without enterprise-grade error handling, fallbacks, or monitoring.
- AI sits outside the analytics stack — disconnected from the pipelines, workflows, and data your business already runs on.
AI that the business actually runs on.
AI in production, not staging
Governed workflows with error handling, monitoring, and fallback logic — built for real enterprise load.
Auditable AI outputs
Every AI decision traceable — lineage, inputs, model version, and output logged for compliance and trust.
Manual review overhead
Agentic workflows automate high-volume tasks that previously required manual analyst intervention.
Pilot to production
Our accelerators compress the POC-to-production timeline from quarters to weeks without cutting corners.
Integrated into your stack
AI workflows embedded into Alteryx, ETL pipelines, and enterprise data platforms — not bolted on separately.
Business adoption rate
Workflows built with governance and explainability see 3x higher adoption by business teams vs. black-box models.
From experiment to enterprise in three phases.
Evaluate & Design
We assess your existing AI pilots, data readiness, and governance posture — then design a production architecture that handles real enterprise complexity from day one.
Build & Integrate
We build governed LLM workflows, agentic automations, and AI-assisted analytics pipelines — integrated into Alteryx and your existing data stack, not alongside it.
Monitor & Scale
We instrument model monitoring, output auditing, and drift detection — then work with your team to expand workflows across additional use cases and business units.
We use AI to deliver AI.
Most firms advise on AI operationalization from the outside. We've operationalized AI internally — using LLMs to accelerate our own delivery. That means our team understands the real failure modes, not just the theoretical ones.
Governance-first, not governance-later
Auditability, lineage, and output validation are built into every workflow we deliver — not added as an afterthought when compliance asks questions.
Alteryx-native AI integration
We integrate LLM and agentic workflows directly into Alteryx pipelines — so AI lives inside the platform your analytics team already operates.
Production engineering, not research
We build for scale, failure modes, and long-term maintenance — not just to make the demo work. Enterprise production is where we start, not where we end up.
Ready to move AI from pilot to production?
Book a complimentary session with our team. We'll review your current AI initiatives, identify the fastest path to production, and outline a governance framework that business leaders will actually trust.
No obligation · 30 minutes · Executive-level conversation
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