The Methodology Behind
Zero Drift Deployment
How we take you from manual operational bottlenecks to seamless, secure, autonomous AI workflows.
15-Min Feasibility Audit
We schedule a direct briefing with our Lead Architect to analyze your current manual workflows. We look for high-friction, repetitive tasks (e.g., invoice entry, email triage, lead scoring) and calculate the potential ROI of automating them.
A feasibility report detailing the recommended AI architecture, cost savings, and integration timeline.
Rapid Prototyping
Before making any changes to your production stack, we build a functional proof-of-concept in a closed staging environment. You get to interact with the AI agent and review its accuracy on real-world sample data.
A working staging demo of the AI agent connected to test databases, validating intent parsing and actions.
Seamless Deployment
We securely deploy the agent into your existing infrastructure (CRM, ERP, database). We implement comprehensive error-handling, automated retries, and strict logging protocols to guarantee zero downtime.
100% operational AI pipeline running in your environment, backed by post-deployment monitoring.
Data Integrity & Compliance
We understand the critical nature of enterprise data. We sign mutual NDAs before any technical analysis and engineer our integrations around strict data-isolation standards:
Your business data is never sent to public pools to train commercial LLMs.
We support self-hosted open-source models inside your own AWS, Azure, or GCP VPC.
Every decision made by the AI agent is logged and searchable, ensuring full accountability.
Frequently Asked Questions
What is the typical budget for an AI Agent implementation?
Our projects typically range from £5,000 to £15,000+ depending on the complexity of the workflow, number of API integrations, and model fine-tuning requirements. We provide a complete fixed-scope quote after our feasibility audit.
Who owns the custom code and intellectual property?
You do. ArvoLabs builds custom integrations specifically for your business stack. Upon project completion and handoff, 100% of the custom codebase, prompt configurations, and intellectual property belong to your company.
How do you handle data privacy and security?
Security is our highest priority. All data processing pipelines are fully encrypted in transit and at rest. We support private model hosting (e.g., deploying open-source LLMs on your own secure AWS/Azure VPCs) so your proprietary data never trains external models.
What is the typical delivery timeline?
We deliver a functional proof-of-concept prototype within 7 to 10 days of project kickoff. Once approved, full production integration, rigorous edge-case testing, and final deployment typically take 3 to 4 weeks.
Ready to Eliminate Your Operational Bottlenecks?
Contact our Lead Architect directly to schedule your technical feasibility audit.
ismum@arvolabshq.com