AI Outcomes Engine: From Proof-of-Concept to Production-Ready Systems
Most n8n automations are compliance disasters waiting to happen. We transform them into audit-ready, governed systems built on Google Workspace or Microsoft 365 by default, not as afterthought.
From Demo to Deployment the Ragonaut Way
"AI is infrastructure" means treating AI automation like IAM, logging, and CI/CD rather than sidecar widgets or weekend hacks.
Common PoC Failure Modes:
- Single-node n8n behind basic authentication
- Untracked changes with no rollback path
- Plaintext secrets without compliance logs
- No RBAC, audit trail, or scaling capability
What We Do Instead:
- Platform-Native Rebuilds: Google Cloud, Power Automate, Azure Functions
- Policy-as-Code Foundation: DLP, eDiscovery, retention from day one
- Infrastructure as Code: CI/CD deploys with FinOps dashboards and version control
- Production-Grade Operations: Reversible flows, comprehensive logging, platform-native observability
We don't bandage broken PoCs. We architect systems that pass audits, scale cleanly, and reduce total cost of ownership.
Structured Path to Production
Whether replacing fragile n8n demos or building compliant AI workflows across Workspace and Microsoft 365, we offer structured, hands-on production paths.
1. Workshop: Why Your n8n Flow Fails an Audit
Duration: 90 minutes
Focus: Teardown typical low-code automation, highlight compliance violations, explain requirements for safe and scalable automation strategy.
Deliverables:
- Decision-maker awareness building
- Risk surface identification and explanation
- Fact-backed action recommendations
We also offer custom AI workshops tailored to enterprise needs covering LLM usage, automation risk, governance models, and platform-specific implementation strategies.
See all workshops and register here
2. Readiness Audit: n8n Compliance Assessment
Duration: 5 days
Focus: Analyze current n8n/Make/automation proof-of-concepts against ISO 27001 and SOC 2 controls.
Deliverables:
- Red/Amber/Green compliance scorecard
- Security and observability risk mapping
- Remediation backlog structured by severity
- Maturity gap proof for board or platform owner presentations
3. Discovery Sprint: Architecture and Governance Planning
Duration: 1-2 weeks
Focus: Define automation platform, map dependencies and governance requirements, create technical execution plan.
Deliverables:
- Executable development backlog
- ROI and cost modeling
- Architecture options (harden vs rebuild)
- Comprehensive risk register
- Decision-ready implementation blueprint
Register for a Readiness Audit or Discovery Sprint
4. Delivery Options
Once Discovery completes, we offer two clear implementation paths:
A. Product Builds
n8n Hardening Sprint (10 days)
Governed Automation Platform (6 weeks)
Includes CI/CD, policy-as-code, cloud logging, native SSO, and rollback controls. Hosted in your infrastructure. Audit-ready from deployment.
B. Managed Operations
Governance and AIOps Retainer
Maintain platform security, optimization, and validation through monthly control checks and infrastructure updates.
We deliver AI automation that operates in production environments rather than sandboxes. Production-grade, observable, and fully owned.
Deploy vs Harden Strategy
Default Approach: Clean rebuild using platform-native AI services and controls. Avoids Frankenstein systems and aligns with long-term risk posture.
Fallback Approach: Where budget or politics block full rewrites:
- Wrap PoC in SSO, migrate secrets to KMS, implement SIEM logging
- Migrate flow-by-flow in subsequent cycles
- Trigger rebuild based on performance or audit data
This provides safe, incremental forward paths while maintaining high standards.
Real-World Experience and Practical Delivery
R(agonaut)zero led IT in Contract Research Organizations, among the most heavily regulated, quality-critical industries globally. Experience includes building validated systems, passing audits, and supporting users under constant compliance pressure.
Additional background as software project manager delivering agile solutions across business and technical domains shaped our methodology:
- No assumptions or shortcuts
- Everything tested, explainable, and safe
- Co-build solutions rather than parachute theories
Backed by flexible networks of experienced professionals, we adapt to each project's scope and requirements.
Modern Consulting Model: AI-Augmented, Outcome-Driven, Agile by Design
We've reimagined consulting for today's challenges where product velocity, regulatory risk, and AI capability intersect.
Our delivery model is agile, risk-aware, and scalable, designed for organizations seeking meaningful progress without legacy consulting overhead or disposable prototypes. We focus on validated, integration-ready solutions supporting real outcomes rather than experimental showcases.
Governance by Design
Regulated Environments
For regulated industry clients (life sciences, healthcare), we align delivery with formal governance models including GAMP 5, 21 CFR Part 11, or internal QMS frameworks.
Governance Assessment Determines:
- Appropriate GAMP category (Category 3 vs Category 5 system)
- Required validation effort based on intended use, risk, and system complexity
- Integration points with existing CSV or QA procedures
Support and Leadership Includes:
- User Requirements (URS), Functional Specs (FS), and Risk Assessment documentation
- Traceable, testable, and auditable artifact development
- IQ/OQ/PQ activities and evidence pack creation
- Quality and AI controls (transparency, data lineage, change tracking)
- IT Operations and staff training delivery
Structured, testable delivery built with compliance focus while maintaining agility where valuable.
Non-Regulated Use Cases
For teams outside formal regulatory frameworks, we apply governance pragmatically through embedded lightweight controls protecting data, users, and business:
- Change control mechanisms in CI/CD workflows
- Privacy-aware data handling and retention strategies
- Audit logs and performance monitoring for AI models
- Prompt lifecycle tracking and reproducibility safeguards
Ensures confident growth, reduced risk exposure, and evolving requirement meeting without unnecessary overhead.
Built for Agile Teams
Everything delivered is designed for your team functionality. Workflows, models, and pipelines transfer directly to PM, DevOps, or AIOps teams ready for action.
Characteristics:
- Transparent and documented
- Reusable and adaptable
- No lock-in or black boxes
We work in small loops, ship frequently, and design for change rather than ceremony.
Stay Ahead of the Curve
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Contact: expert@ragonaut.com for inquiries and related questions.
Ready to start? Book a 30-minute strategy call to develop your implementation plan.
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