Nishant Kumar
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We are moving from closely supervised unit tasks like coding, drafting documents, and running analytics to agents that run entire workflows. No-code builders and managed platforms allow teams to ship agents faster.
Agents can operate with high autonomy. Clear models for trust, accountability, and auditability have not kept pace. That gap is why enterprises remain cautious about offloading full workflows.
Ferrix AI is built to close that gap by evaluating autonomy at every step, not once during setup.
How Ferrix AI Routes Decisions
Ferrix AI does not operate with a single autonomy level. It calibrates behavior based on three factors:
Risk: Impact, blast radius, and cost.
Reversibility: Whether an action can be undone without damage.
Earned trust: A record of your judgment over time, based on what you approve, edit, and undo.
Before executing any step, Ferrix AI evaluates these factors through a routing gate.
Decision Outcomes
Act: The system executes autonomously within defined risk, reversibility, and trust bounds.
Confirm: A single action is clear and within the current user’s authority, but requires approval before execution. The system proposes the action and waits for confirmation.
Escalate: The action exceeds defined limits (impact, authority, or policy). The system routes the decision to a higher authority or formal approval workflow and does not proceed in the current context.
Default Routing
Low Risk | High Risk | |
|---|---|---|
Irreversible | Confirm | Escalate |
Reversible | Act | Confirm |
Routing is determined by risk, reversibility, and authority. Actions that exceed defined limits are escalated, regardless of classification.
Every step passes through this gate, and the decision is logged.
How Thresholds Shift Over Time
The routing gate is not static. It adjusts based on observed interaction signals within each workflow.
Ferrix AI does not optimize for approval rate. It updates thresholds using measurable signals: confirmations, edits, overrides, and reversals.
Consistent confirmations with few overrides: lower confirmation threshold for that workflow
Frequent review before approval: maintain threshold and increase default context
Repeated corrections or reversals: raise the confirmation threshold and intervene earlier
These adjustments are local, not global. Trust is built per workflow and action type, and remains bounded by risk and irreversibility.
Boundaries by Design
System behavior is bounded by irreversibility, consequence, and observed error.
Irreversible actions require confirmation, regardless of risk
High-impact actions require approval, regardless of prior approvals
Repeated corrections raise the confirmation threshold for that action type
These constraints are enforced at each step through the routing gate and are not relaxed by accumulated trust.
Why This Matters
Most systems use a fixed autonomy setting. That setting does not generalize across workflows or decision styles.
When autonomy is too low, the system introduces unnecessary confirmations and slows execution. When autonomy is too high, it executes actions without sufficient validation. Both cases reduce trust, even if the underlying capability is correct.
Ferrix AI does not rely on a fixed setting. Each step is evaluated using risk, reversibility, and earned trust.
Autonomy is adjusted at the level of workflow and action type, while boundaries ensure that high-consequence actions always require approval.
Autonomy is not configured once. It is evaluated continuously, within defined bounds.
