Work arrives ready
Channel, customer, SLA, and intent
Zild agent management platform
AI agents your team can manage.
Run service, sales, voice, documents, and back-office work with policy, human validation, and visibility in one place.
Platform control
Admin for agents, channels, policies, and usage.
Admin keeps the operating layer visible: active agents, connected channels, AI providers, queues, roles, policy states, usage, and budget health.
AgentsChannelsPoliciesProvidersUsage
Managed agent work
From scattered pilots to one operating loop.
Most AI initiatives stall between pilot and daily work. Zild is built for the middle layer: the policies, queues, evidence, validation points, and feedback cycles that make agents manageable in production.
Operational cycle
Intake, control, evidence, improvement.
Each run leaves ownership, evidence, and clear signals for the next round.
Safe work is handled
Action, confidence, policy, and cost
Sensitive work is validated
Reason, owner, and next action
The record stays useful
Outcome, QA note, cost, and escalation reason
Patterns become adjustments
Trends, coaching, and new policy
What stays recordedTranscript, decision, outcome, QA, and next action become operating material.
Production workflow
One service case, from WhatsApp to final record.
The request enters through WhatsApp, Assist handles safe work, the team takes exceptions, and the history is ready for QA.
Request enters through WhatsApp
Assist handles the routine
Risk reaches the owner
History stays attached
Criteria are adjusted
Evidence bundleTranscript, owner, SLA, QA, cost, and outcome stay in the same record.
Where to start
Start with a workflow your team already owns.
Use the first deployment to prove the operating path: request, policy, validation, evidence, and improvement.
Assist + Insight
AI for service and support
For WhatsApp, chat, email, and SAC teams with repeated requests, SLA pressure, policy checks, and human validation.
Request entersPolicy checksOwner readyEvidence attached
Assist + Tasks
AI SDR and sales
Qualify leads, answer routine objections, schedule next steps, and keep CRM updates attached to the conversation.
Lead capturedFit checkedSeller readyCRM updated
Voice
AI for voice and reception
Answer, qualify, route, transfer, and keep transcript evidence attached to the call outcome.
Call entersIntent capturedTransfer readyTranscript kept
Docs + Tasks
AI for documents
Classify attachments, extract fields, request missing data, and send risky records to human validation.
Document classifiedFields extractedReview routedNext action
Insight
AI for quality monitoring
Review transcript-backed QA, coaching signals, exceptions, and proof of what changed.
Transcript reviewedQA signalTrend visibleCoaching task
Admin + Tasks
Custom AI workflow
For lead enrichment, document processing, CRM cleanup, pipeline data, or a playbook specific to your operation.
Map the workSet rulesAssign ownersMeasure outcomes
Control and evidence
Agent work needs more than automation. It needs control.
Zild is designed for the moments where AI cannot be a black box: policy criteria, escalation paths, transcript evidence, permissions, QA, cost visibility, and operational ownership.
Low confidence, policy risk, SLA pressure, or high-value customer context.
The person enters with transcript, summary, customer state, and suggested next action.
Decision, outcome, QA note, cost, and follow-up remain searchable after the work.
Human validation rules
Confidence, policy, SLA, and risk conditions bring a person in with context intact.
Audit trails
Every interaction leaves transcripts, decisions, outcomes, and review signals behind.
Quality monitoring
Leadership can see performance by agent, channel, department, and workflow.
Talk to a specialist about your first AI agent project.
We'll review your use case, channels, systems, and operating pressure, then show how Zild can launch the first measurable workflow with control.
Talk to us now
Start a conversation on WhatsApp. We typically respond within minutes.