OnDuty

FOR ENTERPRISE

Vertical AI built for enterprise operations.

OnDuty deploys AI agents that execute workflows, verify every output, and escalate when they should not act alone. OpenClaw orchestration, sandboxed by tenant, managed by OnDuty.

User inputPrimary AgentData VerifierReasoning CheckerPolicy GuardArbitration LayerDeliveryHuman Escalation

51%

of companies deploying AI reported negative consequences from inaccuracy

McKinsey, State of AI 2025

Most enterprise AI never leaves the demo.

Pilots look great in a meeting room and fall apart in production. The AI hallucinates on an edge case. A customer gets a wrong price. Finance reconciles bad data. The common pattern is deployment without trust, which is risk with a roadmap.

Trusted autonomous execution.

Every response and every action passes through a multi agent validation pipeline. The pipeline has four distinct layers: a Primary Agent drafts the response, three specialized sub agents (Data Verifier, Reasoning Checker, Policy Guard) check the draft independently in parallel, and an Arbitration Layer resolves any conflicts before delivery. When any sub agent flags low confidence, control escalates to your team with full context.

User inputPrimary AgentData VerifierReasoning CheckerPolicy GuardArbitration LayerDeliveryHuman Escalation

Independent sub agent checks

Data, reasoning, and rules are verified in parallel by independent validators.

Arbitration before delivery

Conflicts are resolved or escalated before any answer reaches a customer.

Full audit trail

Every decision, confidence score, and action is logged and traceable.

OnDuty Control PlaneTenant AOpenClaw instanceSkill libraryAudit logTenant BOpenClaw instanceSkill libraryAudit logTenant COpenClaw instanceSkill libraryAudit logKubernetes base layer

OpenClaw orchestration architecture.

OpenClaw is the orchestration layer that powers enterprise execution. OnDuty manages the control plane while each tenant runs in isolated sandboxed infrastructure.

  • Sandboxed execution per tenant, no shared runtime
  • Managed control plane and curated skill library
  • Kubernetes native, ready for multi region deployment
  • Skill allowlisting, approval gates, and audit logging built in

How OnDuty compares.

CategoryOnDutyManyChatTreble.aiYaloGupshupZenvia
FocusVertical AI for LATAMChatbot builderWhatsApp CPaaSConversational commerceCPaaS deliveryMulti channel platform
Primary channelWeb, WhatsApp, IG, TelegramFacebook Messenger, IGWhatsAppWhatsAppWhatsApp, SMSMulti channel
LATAM nativePartialGlobal
Trusted autonomous execution
Multi agent validation
OpenClaw orchestration
Vertical intelligencePartial
Enterprise workflow automationPartial

Why OnDuty wins

  • Only platform combining execution inside the conversation with governance and validation.
  • LATAM native: Spanish, local payment rails, emerging market workflows.
  • Managed OpenClaw deployment means no DevOps required to run trusted autonomous agents.

Partnership tiers.

Explore

Zero commitment

🧭

Join the design conversation.

  • Non binding LOI
  • Quarterly check ins on roadmap
  • Right of first refusal on a pilot
Start a conversation

Pilot

6 weeks

🧪

Test OnDuty on a real workflow.

  • Scoped to one workflow and one team
  • Dedicated setup and weekly review
  • Clear success metrics agreed up front
Scope a pilot

Design Partner

Co build

🤝

Shape the roadmap with us.

  • Co build on your operational edge cases
  • Preferential 24 month pricing
  • Quarterly roadmap influence
Talk design partnership

Vertical playbooks for enterprise.

🏨

Hospitality

Trusted autonomous execution for hotel operations. Late check ins, airport transfers, upsells, and billing reconciliation handled in chat. Every action logged and tied to a reservation. Reduce front desk load by up to 40% while protecting guest trust.

🚗

Auto and vehicle retail

Qualified lead handoff, financing pre approvals, and test drive scheduling inside the preferred channel. Vehicle availability, financing scenarios, and document collection are automated, with escalation to sales when intent is high.

🍽️

Quick service restaurants

Multi location menu, delivery zone, and promotion support across brands. Handle order status, complaints, and catering intake without adding support headcount. Consolidated analytics across all locations and channels.

🏟️

Venues and stadium operations

Event attendee support before, during, and after events. Ticket lookup, seat assignments, accessibility, and post event surveys. Sandboxed agents per event prevent cross contamination of data and logic.

Founding team

DF

CEO

Daniel Forero

11+ years in go to market and growth. Founded and exited Alohub in 2018 after raising 5M USD and scaling to 600 hotels and 200,000 users across 5 countries. Post exit, led GTM and growth roles at Rappi, Uber Eats LATAM, and major web3 companies. Advised 50+ startups. Harvard specialization in emerging markets.

JS

COO

Juan Esteban Sierra

10+ years in growth and go to market across LATAM. Partner and Head of Growth at Multiplied. Prior leadership roles at Rappi, Uber Eats LATAM, and Binance. Owns operations, partnerships, and enterprise GTM execution across Colombia, Dominican Republic, and Mexico.

FC

CTO

Federico Castanares

7+ years full stack engineering. Production grade AI engineering on Azure AI Foundry, Groq, and Llama. Focuses on reliability first execution: validation pipelines, sandboxed environments, and audit ready architecture. Builds what enterprises need to trust autonomous agents.

Enterprise FAQ

An OnDuty enterprise pilot runs 6 weeks by default. Week 1 covers scoping and data ingestion, weeks 2 to 4 cover agent training and validation pipeline setup, weeks 5 to 6 cover live deployment and measurement. Extensions are available if deeper integration is needed.

READY WHEN YOU ARE

Let's scope what trusted autonomous execution looks like for your operation.

30 minutes with the founders. We walk through your workflows, show you the validation pipeline live, and decide if a pilot makes sense. Pilots launch in 4 weeks.