Useful before impressive
We design AI systems to solve clear problems and improve real workflows. Novelty alone is not a sufficient reason to deploy automation.
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Future Relic / AI Principles
Public Standard / Version 1.0Responsible systems require clear boundaries.
These principles explain how Future Relic approaches artificial intelligence, automation, customer information, human oversight, and the deployment of AI employees.
001
Our Position
Artificial intelligence should expand human capability without obscuring human responsibility.
Future Relic develops AI systems to make useful information easier to access, improve customer responsiveness, reduce repetitive work, and help businesses operate more effectively.
We do not treat AI as a substitute for judgment, accountability, or professional expertise. Every deployment should have a defined purpose, meaningful limits, and a path to human support.
002
Core Principles
The standards behind every Future Relic AI system.
These principles guide product design, client deployments, chatbot behavior, data handling, testing, and future development.
Humans remain responsible
AI can assist with communication, organization, research, and routine decisions, but people remain responsible for consequential outcomes.
Transparency by default
People should understand when they are interacting with an AI system, what the system is intended to do, and where its limitations begin.
Minimum necessary data
We aim to collect and process only the information needed to provide the requested service, improve reliability, or meet legitimate operational requirements.
Boundaries are a feature
A trustworthy AI system should know what it cannot do. We design clear escalation paths for uncertainty, sensitive requests, and situations requiring human judgment.
Continuous evaluation
AI systems require ongoing review. We test behavior, monitor outcomes, refine instructions, and update safeguards as products and business needs evolve.
003
AI Disclosure
AUTOMATED SYSTEM NOTICE
People should know when they are interacting with AI.
Future Relic AI employees should not intentionally misrepresent themselves as human. When appropriate, the system should identify its automated role, describe what it can help with, and offer a path to a person.
“I’m a Future Relic AI assistant. I can answer questions, help you explore our services, and collect information for our team.”
004
Deployment Expectations
Every AI employee needs an operating agreement.
Before deployment, the business and Future Relic should agree on the system’s responsibilities, data, permissions, and escalation behavior.
Clear identity
Future Relic AI employees should identify themselves as automated systems when a visitor could reasonably believe they are speaking with a person.
Defined purpose
Each deployment should have a documented role, approved responsibilities, known data sources, and explicit operating boundaries.
Reliable escalation
The system should transfer, route, or flag conversations that require a person, specialized expertise, or access it does not have.
Traceable leads
When an AI employee captures a lead, the source, consent state, and relevant business context should be recorded in the authorized lead system.
005
Minimum NecessaryInformation & Data
Information should be collected with purpose and handled with care.
What the system may collect
Depending on the deployment, an AI employee may collect names, contact details, company information, customer questions, appointment preferences, and other information voluntarily submitted during a conversation.
Why information is collected
Information may be used to answer requests, qualify leads, route conversations, schedule follow-up, provide support, maintain records, and improve the configured service.
Who should have access
Access should be limited to authorized systems, service providers, business representatives, and Future Relic personnel who require the information to operate or support the deployment.
How long information is kept
Retention should reflect the purpose of collection, the customer’s operational requirements, applicable obligations, and the need to maintain secure and accurate records.
Visitors should not submit passwords, financial account details, government identification numbers, health records, or other highly sensitive information unless a deployment has been specifically designed and authorized to handle it.
006
Known Limitations
AI can assist. It cannot guarantee perfection.
Future Relic designs systems to be useful and reliable, but no AI system should be treated as infallible.
- 01
AI-generated responses may occasionally be incomplete, outdated, or incorrect.
- 02
An AI employee should not present itself as a licensed professional.
- 03
AI responses should not replace legal, medical, financial, or other qualified professional advice.
- 04
The system may refuse or escalate requests that fall outside its approved responsibilities.
- 05
Business owners remain responsible for reviewing the configuration and outcomes of their deployment.
007
Deployment Lifecycle
Responsible automation is an ongoing process.
A deployment is not complete when the chatbot goes live. It must continue to reflect the business, its customers, and its current operating requirements.
Discover
We identify the business problem, desired outcome, approved data sources, and situations requiring human involvement.
Define
We document the AI employee’s role, voice, permissions, responsibilities, limitations, and escalation behavior.
Build
We configure the knowledge base, workflows, integrations, lead capture, and operational safeguards.
Test
We evaluate common questions, edge cases, unsupported requests, lead submissions, and handoff behavior before launch.
Deploy
The system is released into its approved environment with monitoring and a defined process for reporting issues.
Improve
We review conversations, update business knowledge, refine performance, and adjust the deployment as requirements change.
008
Human Oversight
The final responsibility remains human.
Businesses using Future Relic Automate remain responsible for the services they offer, the information they provide, and the decisions they make. Future Relic supports responsible operation through configuration, testing, documentation, monitoring, and escalation design.
Discuss an Automate deploymentThese principles describe Future Relic’s general approach to AI systems. Specific customer deployments may include additional requirements, safeguards, agreements, or limitations.
Last updated July 2026