AI that works alongside your team

We begin with a conversation about your current workflows and the specific challenges you're facing. From there, we assess whether AI tooling would genuinely add value or if other approaches might serve you better. Our recommendation phase typically takes 1-2 weeks and includes a written assessment of fit, limitations, and expected outcomes.

Every project includes handover documentation and a calibration period where we work alongside your team to refine the system based on real-world use. We offer ongoing support contracts for continued maintenance and adaptation, but there's no obligation—many clients prefer to manage the system internally after handover.

It depends on scope and complexity. Generative AI prototypes typically take 4-6 weeks. Knowledge graph construction ranges from 6-10 weeks depending on data volume and structure. QA system implementation runs 8-12 weeks including pilot testing. We provide detailed timelines during the scoping phase.

Initial discussions require no data—just conversations about your goals and constraints. Once we move into a project, data needs vary by service type. We work with you to identify minimal necessary data sets and establish clear privacy and handling protocols before any transfer occurs.

All client data remains within defined boundaries—we never use your data to train third-party models or share it beyond the project scope. We sign NDAs as standard practice, implement access controls appropriate to your sensitivity requirements, and can work with on-premises or private cloud deployments when needed.

We establish clear performance criteria at the project outset and include evaluation phases before final delivery. If a system doesn't meet agreed benchmarks, we work collaboratively to identify causes and implement adjustments. Our pricing includes this refinement period—you're not billed extra for getting the system to work as intended.