Agents stop where responsibility starts
Some steps require judgment, context, validation, negotiation, presence, or accountability that should not be faked by automation.
prox.city is a human-in-the-loop orchestration layer for agentic workflows. When an agent reaches a step that needs judgment, context, validation, responsibility, trust, negotiation, or human presence, prox.city finds and activates the right human.
The human answers by WhatsApp, text, or video. prox.city structures the response, gets approval, and returns the briefing so the agent can continue.
customer success agent handling enterprise escalation
draft response + retention offer
account owner judgment + negotiation context
WhatsApp first, video if ambiguity remains
approved briefing lets the agent continue
Some steps require judgment, context, validation, negotiation, presence, or accountability that should not be faked by automation.
The system routes the gap to a qualified person based on skill, trust, relationship, availability, constraints, and fit.
The human can respond by WhatsApp, text, or video, so the workflow gets usable context instead of a stale profile lookup.
prox.city structures the response, preserves approval, and returns the result so the agent can continue the flow.
The pattern is intentionally simple: detect the human gap, activate the right person, structure the response, get approval, and return the result to the agent flow.
The workflow is already in motion. The agent is planning, coding, supporting, researching, reviewing, or operating.
The next step requires judgment, domain context, approval, trust, negotiation, validation, or presence.
The system selects who should answer and prepares the smallest useful context for that person.
The response can happen through WhatsApp, text, or a video call depending on urgency and ambiguity.
prox.city turns the human answer into fields, constraints, decisions, risks, and next actions.
The consequential part stays explicit: who approved, what was approved, and what the agent is allowed to do.
The agent receives the approved briefing and continues the workflow with human context attached.
WhatsApp, text, and video are just the activation surfaces. prox.city owns the routing, context, response structure, approval, and continuation handoff.
The agent can draft, but a trusted human must validate local procurement risk.
Human work is bounded before outreach. Payment terms become part of the handoff.
Fast confirmation happens async; video is reserved for ambiguous or high-risk context.
No agent execution starts until scope, consent, and review criteria are approved.
The agent gets back a structured object: what the human said, what was approved, what risk remains, and what the agent is allowed to do next.
The category is not networking. It is bounded human activation inside an agentic flow whenever the next step needs responsibility, trust, context, or presence.
An agent needs approval or internal context before continuing an operational workflow.
An agent codes or plans, but needs technical review, design, QA, copy, domain input, or product decision.
An agent handles a customer, but needs a human specialist with a complete briefing.
An agent needs real-world action: inspection, photo, delivery, installation, or physical verification.
An agent prepares analysis, but a human validates, approves, or assumes responsibility.
An agent gathers data, but needs an expert interview, source validation, or human judgment.
We will map the human-only step, define the activation channel, structure the approval gate, and show what the continuation handoff should look like.