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Zild
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Seven modules. One governance layer. One operation.

Shared layerZild Adminroles · data · policy · audit
01Intakechannel, document, task
02Governancerole, policy, limit
03Executionagent, tool, handoff
04Evidencescore, audit, coaching
Four company departments connected to a central platform.
ZILD PLATFORMOne shared foundation for your entire company.

Connect teams, agents and systems with governance.

Channels

Customers come in through service or voice

Assist and Voice take the front line, keeping queue, context and human handoff under one policy.

WhatsApp · Email · Voice
Conversational service

Zild Assist

Agents on WhatsApp, email and private channels, with unified context and human validation under policy.

  • Unified inboxes by queue and operation
  • Policy-guided macros and replies
  • Human validation with per-channel SLA
Governed telephony

Zild Voice

Reception, callback and voice prospecting with transcription, real-time scoring and monitoring review.

  • Reception, callback and dialer
  • Real-time transcription and scoring
  • Works with Twilio, Aircall and Vonage
Knowledge

Employees use AI with authorized context

Chat and Tasks connect internal questions, documents and next steps in a controlled environment.

Internal GPT · Authorized source · Documents · Tasks
Secure internal GPT

Zild Chat

A corporate copilot so employees can consult strategic information, documents and agents in a governed environment.

  • Safe environment for internal AI use
  • Strategic information with context
  • Access by role and authorized source
Orquestração de processos

Zild Flow

Manage tasks assigned to people or AI agents with a clear view of process execution.

  • Processos e etapas visíveis
  • Tarefas humanas e de agentes de IA
  • Responsáveis, prazos e dependências
Improvement

Outcomes return to the cycle

Insight measures by role and channel; Coach turns evidence into training for human and AI agents.

Scorecard · QA · Coaching · Plan
Operational performance

Zild Insight

Dashboards by role, queue, channel and operation to compare human and agent work and catch quality drops early.

  • Scorecards by role and queue
  • Human vs. agent comparison
  • Trend-based anomaly detection
Training and simulation

Zild Coach

Scenarios, simulated conversations, criteria-based evaluation and individual coaching plans.

  • Roleplay by persona
  • Evaluation by custom criteria
  • Individual plan per human and AI agent
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.
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.

Lifecycle

Every agent enters production as a controlled version.

The published unit is more than the model. It combines instructions, knowledge, tools, permissions, evaluations and escalation rules into a traceable artifact.

Release artifact
instructionsmodelRAGtoolspermissionsevalsfallbacks
  1. 01
    Register

    Purpose, owner, channels, data, tools and initial risk.

  2. 02
    Build

    Isolated configuration of context, models, limits and escalation.

  3. 03
    Validate

    Functional, security, quality, cost and adversarial tests.

  4. 04
    Approve and release

    Gates, frozen version and gradual release by environment or traffic.

  5. 05
    Operate

    Outcomes, consumption, drift, incidents, feedback and human interventions.

  6. 06
    Change or roll back

    Version comparison and return to the last approved version.

  7. 07
    Retire

    Identity and access revocation with preservation of required records.

The same lifecycle applies to agents built with different frameworks or running across different clouds.
AI for your entire company

More people using AI. More room in your budget.

One shared platform. A plan based on your company size. Bring AI to every department without buying another Zild license for each person within your contracted tier.

Assess savings for my company
Illustration of four teams connected to a central AI platform.
People, agents and systems. One shared foundation.
  • Plans by company size
  • Access across departments
  • Governance in one platform
Potential savings

Fewer barriers to democratizing AI.

up to75%

potential savings to bring AI to the entire company

Our strategy targets up to 75% lower costs to bring AI to the entire company, in scenarios comparable to per-user business licenses from Anthropic, OpenAI and Microsoft 365 Copilot.

Compare plans and pricingAnthropic Claude OpenAI ChatGPT Microsoft 365 Copilot
Potential of the strategy. Actual savings depend on usage and contract terms.
Speed and execution

Savings make room for the next department.

25.1%

faster on the tasks evaluated with AI

In an experiment with 758 BCG consultants, participants using GPT-4 completed tasks suited to AI 25.1% faster on average. Time recovered creates room for teams to do more.

Read the HBS/BCG study Experimental result for specific tasks; not a guaranteed Zild outcome or a direct cost reduction.
One platform, shared governance

More autonomy. Shared governance.

81%

of surveyed employees use unapproved AI

AI is already part of work, even outside company visibility. Centralize models, agents and processes in Zild to offer an approved path with defined access, shared context and human oversight.

Read the UpGuard study Survey of 1,000 employees and 500 security leaders. Among those leaders, 88% reported using unapproved AI.
  1. 01

    Start with focus

    Choose a high-value process.

  2. 02

    Measure results

    Track cost, quality and adoption.

  3. 03

    Expand access

    Bring the same foundation to more teams.

Your company uses its own API keys. Provider usage is paid separately from your Zild subscription.

Why centralize AI use

UpGuard’s State of Shadow AI shows the gap between actual usage and company-approved tools. A shared platform gives teams a common way to work with AI and helps apply access and oversight policies. Centralization needs training and clear policies alongside it; on its own, it does not prevent the use of external tools.

Read the State of Shadow AI report (PDF)

The evidence behind productivity gains

Navigating the Jagged Technological Frontier evaluated 18 tasks within AI capabilities. On a task outside those capabilities, AI use reduced the likelihood of correct answers, reinforcing the importance of human oversight. The 25.1% result is an experimental average, not a universal productivity threshold.

Bain notes that sellers may spend only about 25% of their time selling directly. Other activities include internal meetings, working in tools and administrative tasks. Redesigning these processes with AI can free more time for customers. Bain & Company · Technology Report 2025

How to assess savings for your scenario

The percentage represents the potential of the commercial strategy, not guaranteed savings or a validated result for every provider. Compare the Zild subscription, API and external-service usage, applicable implementation and support, user count, required features and competing proposal terms. Enterprise plans may have negotiated prices and the products do not have identical scopes.

Plan comparison references: Anthropic Claude · OpenAI ChatGPT · Microsoft 365 Copilot

Connectors

AI creates value when it connects to your business.

Connect agents to your AI providers, CRM, ERP and collaboration tools. Retrieve information, update records and move processes forward in the systems your team already uses.

Explore connectors and see how to connect your company

Use your company’s credentials and enable the access required for each integration.

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