AI & Automation Services Disclaimer
This disclaimer addresses limitations specific to AI models, automated workflows, third-party providers, data quality and the need for human review.
1. Purpose of this disclaimer
This disclaimer explains limitations that are specific to AI-assisted automation, workflow systems and third-party automation platforms. The goal is to clarify where automation can support business work and where human review, client judgment or provider limitations remain important.
2. AI outputs are not guaranteed to be correct
AI systems can generate incomplete, inaccurate, inconsistent or contextually inappropriate outputs. The same or similar input may produce different results over time or after a provider updates a model. AI-assisted output should be reviewed at a level appropriate to the business impact of the task.
3. Human review and accountability
Automation does not remove the client's responsibility for business decisions, customer communications, regulatory obligations or the use of information produced by an automated workflow. Human approval points should be used where errors could create meaningful financial, legal, employment, safety, privacy or customer consequences.
4. No autonomous high-stakes decision guarantee
Brynqel Automata does not represent that a general business automation workflow is suitable for autonomous decisions involving employment, credit, insurance, healthcare, legal rights, safety, regulated eligibility or other high-impact decisions unless the project is separately scoped and reviewed for that specific purpose.
5. Third-party AI providers
AI models and automation platforms are controlled by third-party providers. Providers may change models, APIs, limits, pricing, moderation rules, retention options, account requirements and service availability. Those changes can affect workflow behavior after implementation.
6. Data handling by AI services
Different AI providers offer different data-retention, training, privacy and enterprise-control options. A client should approve the provider and configuration that will receive its information. Brynqel Automata does not claim that every AI service uses client data in the same way.
7. Automation failures and exceptions
A workflow may fail because of missing data, unexpected formats, authentication changes, provider outages, API changes, rate limits, internet connectivity or a change in the client's own systems. Exception handling and fallback steps can reduce risk but cannot guarantee that every future failure mode will be anticipated.
8. Customer support automation
AI-assisted customer support may be useful for routine questions, categorization or response preparation. It should not be assumed to understand every customer situation. Escalation paths and human review may be appropriate for complaints, sensitive account issues, disputes or unusual requests.
9. No guaranteed efficiency result
Automation can reduce repetitive work, but no specific reduction in labor hours, staffing, costs, error rates or response time is guaranteed unless a specific written performance commitment is separately agreed. Results depend on workflow volume, data quality, employee adoption, provider performance and business changes.
10. Information quality
Automation depends on the accuracy and structure of its inputs. Incorrect source data, incomplete instructions or inconsistent business rules can produce incorrect automated results. Clients remain responsible for the quality and legality of information supplied to the workflow.
11. Ongoing review
Automations should be reviewed when business processes, policies, providers, APIs, model behavior or data sources change. Ongoing Support is available for routine review, small changes and optimization where separately agreed.
12. Defined use and approval
Each automation should have an agreed purpose, permitted inputs, expected output and owner responsible for reviewing exceptions. A tool configured for one workflow should not automatically be used for a different purpose or larger data set without reviewing the effect on privacy, access and accuracy.
13. Prompts and information supplied to AI tools
A prompt or input may contain business information that is transmitted to the selected provider. Before an integration is enabled, the client should identify information that must not enter an AI service and confirm which provider and account settings are acceptable. The handling of information is also governed by the provider terms and the parties' written project documents.
14. Model and provider changes
Third-party AI systems can change model behavior, availability, pricing, usage limits or terms. A workflow that performs adequately at launch may need new testing after a material change. Unless a support arrangement expressly includes that work, ongoing monitoring and revisions are a separate matter to agree.
15. No substitute for professional judgment
An automated draft, classification or recommendation does not replace an appropriately qualified person for legal, medical, financial, employment or other consequential decisions. Clients remain responsible for deciding whether a proposed use is suitable for their work and for obtaining specialized advice when needed.
EMAIL: systems@brynqelautomata.com
ADDRESS: 8301 E Prentice Ave, Greenwood Village, CO 80111
PHONE: +1 970 665 3358