Contents 5 sections
We Build Your AI: Your Production Roadmap Before You Commit
Most enterprises are under pressure to show AI ROI in quarters, not years. Under the EU AI Act, the AI literacy duty (Article 4) has applied since February 2025, and after the Digital Omnibus (Regulation (EU) 2026/1744) the high-risk obligations for stand-alone systems apply from December 2, 2027. Boards want assurance that AI deployments meet compliance, governance, and operational standards. Yet AI pilots stall due to change management, not technology. The result is pilot purgatory and wasted budget. The payoff is clear: a production-ready roadmap in two weeks, so you can decide with confidence before committing to a build.
Why This Matters for Enterprises
AI governance is now a board-level priority. Responsible AI, AI observability, shadow AI control, and data readiness are operational concerns you cannot defer. Regulated industries like pharma, healthcare, manufacturing, financial services, and retail have additional compliance burdens. HIPAA, GxP, SOX, FFIEC, 21 CFR Part 11, PCI DSS, GDPR, and the EU AI Act all demand traceable, auditable AI operations.
Without a clear production roadmap, you risk non-compliance, cost overruns, and stalled adoption. A roadmap built in two weeks keeps you ahead of regulatory deadlines and aligns multi-cloud deployments across Azure, AWS, Google Cloud, or hybrid environments.
The Practical Plan
We scope one workflow with you, agree the deliverables and acceptance criteria, and build it in your environment.
- Week 1: Data readiness audit. Identify gaps in data quality, integration, and governance. Map compliance frameworks to operational needs.
- Week 1: Stakeholder alignment workshop. Address change management risks early. Define agentic AI use cases with measurable outcomes.
- Week 2: Technical fit analysis. Evaluate Azure OpenAI, AWS Bedrock, Google Vertex AI, and open-source LLMs for your environment.
- Week 2: Production roadmap delivery. Includes architecture diagrams, compliance checkpoints, and deployment timeline aligned with your agreed deliverables.
See more examples in our Case Studies.
What Good Looks Like
- Time saved: Production roadmap in two weeks, full deployment aligned with your agreed deliverables.
- Risk reduced: Compliance checkpoints built into architecture. Shadow AI eliminated.
- Cost avoided: No budget spent on pilots that never ship.
- Operational clarity: AI observability embedded from day one. Agentic AI aligned with governance.
Next Steps
You can keep running pilots that never ship, or you can get a production roadmap in two weeks. It gives you compliance assurance, technical fit clarity, and a timeline you can take to your board. Tell us the workflow today and move from concept to production in weeks, not years.
Explore our All Solutions to see how agentic AI can deliver measurable ROI across industries.
QueryNow leads AI transformation for enterprises in the US and Europe. Founded in Germany in 2014, we build the foundation enterprise AI runs on, and the agents that run on it, for pharma, healthcare, manufacturing and financial services organizations on Azure and AWS.
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The three posts worth your time each week, one paragraph each. From the people building production AI.
