Guardrails & human-in-the-loop
Confidence thresholds, approvals, and fallbacks - so the system escalates to a person instead of guessing.
The difference between an AI system you can trust and one you can't is its guardrails. We design in confidence checks, approval steps, and clear boundaries so the system knows when not to act.
When it's unsure, it hands off to a human - which is exactly what keeps automation safe to deploy on real work.
How we deliver this
- Define where autonomy is and isn't acceptable
- Add confidence thresholds and approvals
- Build clear human handoff paths
- Log decisions for review and audit
Key deliverables
- Guardrail and approval logic
- Human-in-the-loop workflows
- Decision logging
Expected outcomes
- Safe-to-deploy automation
- Fewer costly errors
- Confidence to expand scope
Ready to implement Guardrails & human-in-the-loop?
Talk with our team and get a tailored roadmap for this feature in your growth stack.
Ideal for
- Regulated or high-stakes workflows
- Customer-facing automation
- Anyone cautious about AI mistakes
Frequently asked questions
How do you decide what to automate vs escalate?
By the cost of a mistake. Low-risk, high-confidence actions run automatically; anything ambiguous or high-stakes routes to a person.
Related features
View all in AI Agents & AutomationAI copilots & assistants
Assistants grounded in your own knowledge that draft, answer, and act - inside the products and channels your team already uses.
Learn moreRetrieval (RAG)
Answers pulled from your docs, tickets, and data - with citations - so responses are accurate and verifiable, not hallucinated.
Learn moreWorkflow automation
Multi-step automations that triage, route, summarize, and update records - removing the repetitive work between your tools.
Learn more