Controlled by design.
How we approach data handling, access, AI behavior, and reliability in the systems we build. Written plainly, because vague security pages help nobody.
Data handling
Systems are designed to collect only the data the workflow needs. Where client data passes through third-party AI services, we use business-tier APIs and configure them according to the provider's data-use controls. Data retention is a deliberate decision made during scoping — what is kept, where, and for how long — not an accident of defaults.
Access and accountability
Role-based access limits who can see and change what. Audit logs record what the system did and when. Client accounts are set up so the client owns them — credentials, infrastructure, and data included. If we part ways, you keep your system.
AI behavior controls
AI components are constrained to their task. Customer-facing agents disclose that they are AI assistants. Human approval is required at points where judgment or external commitments are involved — proposals, pricing, anything a client receives. Unclear cases route to exception queues for a person rather than proceeding on a guess.
Reliability and cost
Workflows include failure handling and fallback procedures for when an upstream service is down. API usage is monitored with cost controls so an automation cannot silently run up a bill. Monitoring and alerting are part of the build, not an afterthought.
Honest limits
We are a specialized implementation firm, not a certified security auditor, and we don't claim compliance badges we don't hold. Where your industry carries specific regulatory requirements, we design within them and tell you plainly when specialist counsel or tooling is needed alongside us.
Questions about a specific requirement?
Ask directly — you'll get a straight answer.
harry@shurek.ai