How to Choose an AI Development Company: Due Diligence & Technical Framework
Audit Infrastructure & Data Sovereignty Standards
Ensure the vendor builds directly inside your AWS, Azure, or GCP cloud boundary.
Ask: 'Will our code, embeddings, and telemetry live inside our corporate cloud account?' Reputable engineering partners deploy infrastructure as code (Terraform, Pulumi) directly into your private VPC. Reject vendors that require routing customer data through proprietary, closed-source SaaS proxies.
- Vendor provides deployment scripts that run within client-owned cloud accounts.
- Strict zero-egress guarantee with no public LLM model retraining on your data.
- Compliance alignment with relevant frameworks (SOC 2, ISO 27001, HIPAA, GDPR).
Examine Intellectual Property & Licensing Terms
Verify contract clauses guaranteeing unencumbered ownership of all deliverables.
The Master Services Agreement (MSA) must state that all code, models, prompt architectures, and pipelines are 'work made for hire' belonging exclusively to you upon payment. Ensure there are zero ongoing proprietary licensing fees or per-query tax royalties.
- Contract stipulates 100% client code and IP ownership.
- Zero ongoing query fees or recurring proprietary vendor royalties.
- Complete access to git repositories, CI/CD pipelines, and configuration keys.
Verify Senior Engineering Talent vs Offshore Subcontracting
Confirm that the engineers presenting the architecture are the ones writing the production code.
Many agencies pitch with senior partners and subsequently outsource execution to junior offshore body shops. Request named technical leads with verifiable engineering credentials and distributed systems backgrounds. Ensure daily synchronous overlap across your primary working time zones.
- Named senior architects committed to your project sprint backlog.
- Minimum 4-hour synchronous working overlap with your time zone.
- Shared Slack or Teams channels with direct engineer-to-engineer access.
Test Their Evaluation & Quality Frameworks
Ask how the partner tests and measures AI accuracy, latency, and failure modes.
Generative AI cannot be evaluated using traditional unit tests alone. Ask candidates: 'What evaluation metrics do you track for RAG accuracy?' Competent partners will explain concrete frameworks: RAGAS (faithfulness, answer relevance), synthetic prompt fuzzing, and latency percentiles (p95/p99).
- Automated regression evaluation pipeline integrated into CI/CD.
- Clear benchmarking methodology for latency, token consumption, and hallucination rates.
- Deterministic guardrails implemented for safety and policy compliance.
Start with a Bounded Technical Spike (2–4 Weeks)
De-risk large enterprise engagements with a focused proof of concept.
Before committing to a six-figure multi-month contract, initiate a fixed-price 2-to-4 week architectural spike. Use this sprint to validate team communication velocity, code cleanliness, and retrieval accuracy in your real environment.
- Clearly defined spike scope with measurable technical acceptance criteria.
- Working code deployed to staging by end of week 2 or 3.
- Comprehensive architecture runbook delivered at project completion.
Key Guide Questions Answered
What should an enterprise AI development team cost?
Pricing depends on scope factors: systems integration complexity, compliance requirements (HIPAA/SOC2), private VPC vs hosted models, and team seniority. Always demand transparent sprint-based fixed or dedicated models.
How do we verify a vendor's claims without breaking NDA?
Ask them to walk through architectural diagrams, code repositories of open-source contributions, or anonymized system design specifications live on a technical call.
Custom Software, Web and Mobile Development
Explore our core production engineering capabilities and architectural specifications.
About Aurevion AI
Custom AI systems, private RAG architectures, and sovereign software development for growing engineering teams.
Aurevion AI engineers dependable production artificial intelligence systems, sovereign retrieval-augmented generation pipelines, autonomous agentic workflows, and modern high-concurrency software applications. We partner directly with engineering leaders across North America and Europe, deploying zero-trust private cloud architectures with complete intellectual property ownership, deterministic reliability guarantees, and transparent sprint-based technical team collaboration.