ProductCrafters

What's included beyond development?

Every engagement comes with an AI Strategy Audit, Technical Architecture Document, Investor Demo Package, 90-Day Scaling Roadmap, 30 days of post-launch support, and full IP ownership. These aren't add-ons — they're part of every project.

How long does it take to build an AI application?

An AI MVP can be delivered in 4–8 weeks. Full production applications typically take 3–6 months depending on complexity, integrations, and data requirements.

Should I build in-house or outsource AI development?

Outsourcing is faster and more cost-effective for most startups and SMBs. Hiring an in-house AI team takes 3–6 months and costs $500K+ annually in salaries alone. Our average client partnership lasts over 2 years — most teams that start with us stay because the dedicated team model gives them senior AI engineers without the overhead of full-time hires.

How do you ensure data security and compliance?

Your data stays in your environment — we never train models on client data without explicit permission. We follow enterprise security standards including encrypted data transfer, strict access controls, audit logs, and compliance with GDPR, SOC2, and HIPAA.

Can you integrate AI into our existing systems?

Yes — without rebuilding from scratch. We add AI capabilities to existing tech stacks by connecting to CRMs, ERPs, databases, and internal tools via REST APIs, webhooks, or direct database integration. Whether it's an AI agent connected to Salesforce, intelligent search on your platform, or automated document processing, we fit into what you already have. See our AI Integration Services.