Architecture & responsibility
Define user, model, code and external-service responsibilities and important data paths.
SENXOS / ENGINEERING
System behaviour with a clear basis.
Make data, permissions, interfaces, testing and deployment reviewable, supporting delivery, troubleshooting and improvement.
See our engineering approach
01Business data ingestionTraceable
02AI understanding & candidatesProbabilistic
03Deterministic rule validationRule-bound
04Human review & auditTraceable
AI interprets information. Rules and workflows keep it in check.
Data & access
Design access by role and data scope, with authorization and records for sensitive actions.
Testing & evaluation
Use representative data and exceptions; evaluate AI outputs separately.
APIs & failure handling
Define timeouts, bounded retries and duplicate handling so failures are visible.
Deployment & operation
Document settings, releases, logs and recovery for handover and maintenance.
Maintenance & evolution
Prioritize changes using feedback, errors and load, recording their impact.
Define data boundaries before choosing technology
Data, security, and deployment belong in project design. These are discovery topics, not certifications or compliance guarantees.
Models and data flow
Identify data sent to external models, de-identification needs, and provider data-use terms.
Deployment and permissions
Assess cloud or private deployment requirements; define roles, tool access, and sensitive-action approvals.
Logs and retention
Agree required activity and error records, who can access them, retention periods, and deletion responsibilities.
First contact
Share only the problem and process overview. Do not submit passwords, API keys, personal customer data, or production records.
Questions, answered
Will data reach an external AI model?
It depends on the model, deployment and data. Agree what may be shared, masked or kept internal, then check the provider’s actual processing arrangements.
How do you handle incorrect AI answers?
Retain sources, use representative tests and rules, and route missing evidence, exceptions and important actions for human confirmation.
What happens when data or synchronization fails?
Define checks, stopping conditions, bounded retries and notifications. Surface the cause instead of guessing missing values or retrying indefinitely.
What about source code and maintenance?
Agree code and documentation handover, third-party licences, deployment and maintenance responsibilities and fees before work begins.
Start your next project with a clear brief.
Share your goals, current workflow, and what needs to improve. We help clarify requirements, assess feasibility, and plan a suitable development approach.