Stop Waiting 12 Months For Production AI
Too many enterprise AI vendors tell you it will take a year. That timeline kills momentum, increases governance risk, and delays ROI. Boards now expect measurable outcomes in quarters, not years. The difference between 12 months and 90 days is not speed for its own sake. It is the ability to deliver value before your competitors do.
QueryNow has deployed over 200 production AI agents with a 100 percent success rate. We have seen the same pattern across industries. Long timelines are rarely about technology readiness. They are about indecision, pilot purgatory, and poor change management.
Why This Matters For Enterprises
By August 2026, the EU AI Act will be in full enforcement. HIPAA, GxP, SOX, FFIEC, 21 CFR Part 11, PCI DSS, and GDPR will remain non-negotiable for regulated industries. AI governance is now an operational requirement, not a policy document. Responsible AI, AI observability, shadow AI remediation, and data readiness are board-level priorities.
83 percent of AI pilots fail because of change management, not technology. Every month spent in a pilot increases the risk of shadow AI. Every delay pushes compliance readiness further out. If you are in pharma, healthcare, manufacturing, retail, or financial services, the governance stakes are higher. But fast, compliant delivery benefits every enterprise.
Multi-cloud capability is essential. Whether you deploy on Azure OpenAI, AWS Bedrock, Google Vertex AI, or hybrid infrastructure, you need platform-agnostic agents that meet your governance and compliance frameworks from day one.
The 90-Day Method
This is the plan we use to deliver production AI agents without cutting corners. It works for Enterprise RAG Systems, autonomous compliance agents, and purpose-built copilots.
- Week 1-2: Assessment Define outcomes, compliance requirements, and integration points. Identify data readiness gaps. Engage governance stakeholders early. Confirm multi-cloud deployment strategy.
- Week 3-8: Build Develop agentic AI architecture. Configure RAG systems, compliance agents, or copilots. Integrate with Azure, AWS, Google Cloud, or hybrid environment. Validate against HIPAA, GDPR, and other applicable frameworks.
- Week 9-12: Deploy Roll out in production. Activate AI observability. Train operational teams. Document governance controls. Measure ROI and compliance adherence.
Checks For Success
- Compliance sign-off before production.
- Data pipelines validated for readiness and integrity.
- Shadow AI detection in place.
- AI observability dashboards live.
- Board-level reporting aligned to ROI metrics.
Example: Pharma Compliance RAG System
A global pharma company needed a GxP-compliant RAG system to accelerate regulatory document review. Their incumbent vendor estimated 12 months. We delivered in 90 days. The agent deployed on Azure OpenAI with integration to AWS S3 and Google BigQuery for cross-cloud data access. Compliance controls met 21 CFR Part 11 and GDPR. AI observability ensured traceability for every query.
Outcome: Review cycle time dropped by 60 percent. Compliance risk reduced. Cost avoided from extended vendor contracts exceeded $250,000. This example is documented in our Pharma Compliance RAG Case Study.
What Good Looks Like
- Production AI agents live in 90 days.
- Compliance frameworks validated before deployment.
- AI observability active from day one.
- Shadow AI risk reduced to zero in governed environments.
- Time saved: 9 months compared to traditional vendor timelines.
- Cost avoided: hundreds of thousands in extended project overhead.
Act This Quarter
You can deliver production AI agents in 90 days without compromise. The key is disciplined execution and governance alignment from the start. Our solutions cover Enterprise RAG Systems, autonomous compliance agents, and purpose-built copilots across industries. We deploy on Azure, AWS, Google Cloud, or hybrid environments.
Start with a Book a 2-Week AI Assessment at $9,500. The fee is credited toward implementation. This is how you move from 12 months to 90 days with measurable ROI and zero governance gaps.
Ready to ship AI in your organization?
Two-week sprints at $10K each. First two on us. Most engagements are done in four to eight sprints.
Readiness sprint $9,500 · Build sprints $10K each · First two on us
QueryNow
QueryNow deploys production AI for enterprises on Azure, AWS, or Google Cloud. Founded in 2014, we help pharma, healthcare, manufacturing, and financial services organizations deploy governed AI systems in sprints. Two on us.
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