- What's the difference between this and AI Workflow Automation?
- Workflow automation focuses on replacing manual operational work (support, sales ops, document processing). AI Integration & Implementation focuses on adding AI capabilities into your product itself, e.g., chatbots, recommendations, predictive scoring, computer vision features.
- Do you use off-the-shelf models or build custom ones?
- We default to frontier models (OpenAI, Anthropic, Google) for language tasks and managed services (AWS Rekognition, Vertex AI) for vision, because they're faster, cheaper, and better than self-hosting in most cases. We fine-tune or train custom models when there's a clear privacy, cost, or domain-specificity reason.
- How do you handle data privacy and PII?
- We use enterprise API contracts (no training on your data), redact PII before inference where possible, and can deploy fully on-prem or in your cloud account for sensitive workloads. We've shipped AI features under HIPAA, GDPR, and SOC 2.
- Can you integrate AI into our existing product without a rebuild?
- Yes. Most AI features ship as additive endpoints or microservices that your existing app calls. You don't need to migrate the platform to add AI capabilities.
- How long does an AI integration take?
- A scoped pilot (one feature, one surface) is typically 4–6 weeks. A multi-feature rollout with evaluation, monitoring, and feedback loops is 3–6 months.
