Adopt AI across your company with security, governance and cost control.

Move from scattered use to a measurable, multi-model enterprise operation. Start with one use case and expand at your pace, with up to 75% savings on AI licenses.

1.000+active users
30 mil+hours of AI projects
até 75%savings on licenses
80%of WhatsApp, voice and email service requests resolved without human intervention
Clientes

Companies already operating with Zild.

Silicone Center
Andare Calçados
1º Cartório de Itu
Coopertáxi BH
Coopertaxi MS
RMC Radiotaxi
DRS Group
TLC Worldwide
COE Doenças e Tratamentos
VMG Farmacêutica
Vermont XCenter
Gondim
Orient
MakeITSimple
Official partnerships

Technology and ecosystems expanding our capabilities.

Relacionamentos oficiais com provedores globais de IA e participação no ecossistema de inovação do Bradesco.

Microsoft Partner
OpenAI Select Partner
Meta Tech Provider
ElevenLabs
InovaBra - ecossistema de inovação Bradesco
Platform architecture

Zild is the control plane between agents and operations.

Connected ecosystem
Diagram of Zild connecting AI providers, internal systems, channels, desktop tools and automations
Zild provides the central layer between providers, the enterprise environment and the surfaces where work happens.
Agents and use cases
Service

Agents across WhatsApp, email and private channels with unified context, system access and policy-based human handoff.

channels · context · SLA · handoff
Voice

Reception, service and outbound operations with transcription, tools, action limits and escalation.

telephony · transcription · tools · QA
Documents

Structured extraction, rule validation, exception routing and evidence for every processed document.

OCR · schema · validation · exception
Internal copilots

AI for employees with authorized knowledge, role-based access and traceable history inside the enterprise environment.

RAG · RBAC · authorized sources · audit
Processes

Workflows coordinating human and agent tasks, dependencies, approvals, deadlines and exception paths.

workflow · approval · SLA · evidence
Zild · control plane
Registry and identity

Agent, owner, tenant, version and purpose.

Policy and authorization

Data, models, channels, tools, limits and approvals.

Routing and orchestration

Approved context, model selection, tools and handoff.

Runtime inspection

Inputs, outputs, cost, latency, risk and anomalies.

Evidence and lifecycle

Lineage, evaluations, decisions, outcomes and rollback.

Boundaries managed by Zild
AI providers

Language, voice, vision and multimodality with multi-provider routing.

models · gateways · quotas
Systems and knowledge

CRM, ERP, databases, documents, APIs and trusted business context.

RAG · data · APIs
Channels

WhatsApp, voice, webchat, email, Teams and document surfaces.

input · session · response
Actions and automations

Tools, MCP, workflows, webhooks, desktop and human handoff.

tools · events · approvals
Processes, controls and evidence remain portable even when the provider changes.
Convergent controls

Four disciplines act on the same execution.

Cost, model, security and accountability are not isolated dashboards. Zild relates all four to the tenant, agent, workflow, version and business outcome.

AI FinOps

Attributes consumption to an operating unit and calculates unit economics per valid outcome.

  • tokens, voice, storage, APIs and retries
  • budgets, quotas and anomalies
  • cost per interaction, task or decision
ModelOps

Controls approved models and artifacts through evaluation, promotion, operation and replacement.

  • catalog and agent-model lineage
  • quality, latency, drift and availability
  • gradual rollout, comparison and rollback
Security

Protects identity, data and actions across the path between user, agent, model and tool.

  • least privilege and data protection
  • inspection of inputs, outputs and tools
  • containment, approval and interruption
Governance

Turns purpose, risk and decision rights into continuously applied technical controls.

  • inventory, owner and classification
  • policies before and during execution
  • review after incident, change or feedback
Shared execution record
tenantagent_idversionmodelpolicytool_callscostresultevidence

A cheaper model is not selected if it violates quality or risk; a task is not complete if cost and evidence cannot be attributed.

Freedom to choose and switch AI models. One platform connected to real work.

Use OpenAI, Anthropic, Gemini, Azure ou AWS conforme custo, risco, desempenho e necessidade de cada operação.

ZildGovernance layerpolicy · routing · evidence
ModelsChoose by operationLLMs and voice vary by SLA, cost, language and risk.
ChannelsInput and responseConversations come in where the customer already works.
SystemsData and actionCRM, BI, ERP and storage stay under policy.
Real outcomes

AI applied to what moves the operation.

See all case studies
Silicone Center+10%

de faturamento bruto no primeiro mês

Zild Insight em todas as conversas comerciais e Zild Coach nos treinamentos transformaram interações em melhoria contínua de vendas.

Gondim10 mil+

documentos jurídicos processados por mês

Zild Docs processa documentos em escala, enquanto Assist e Voice apoiam negociações de contratos para grandes operações.

Taxi RMC100%

dos agendamentos corporativos automatizados

O Zild Assist interpreta solicitações recebidas por e-mail e conclui o agendamento de corridas corporativas.

Guia executivo · conteúdo Zild

Como iniciar a adoção de IA em 90 dias

Um roteiro prático para escolher o primeiro caso, estruturar o piloto, medir valor e preparar a expansão.

Next step

In one hour, leave with an initial AI adoption plan.

The first conversation should produce a useful decision: where AI enters, where it stops, who handles exceptions and what evidence remains.

Book a free assessment