The request arrives with context
Channel, customer, SLA, intent
Zild agent management platform
Operate the company AI agent stack.
Build, integrate, deploy, and manage AI agents across service, sales, voice, documents, and internal workflows, from the first controlled pilot to a full program.
Product surfaces
The surfaces where agents become operations.
Admin, Assist, Voice, Insight, Docs, Tasks, and Coach give teams one place for channels, policies, queues, quality, follow-up, and review.
AdminAssistVoiceInsightDocs
Operating loop
One control model for every agent workflow.
A request enters with context, the agent executes the safe work, risk goes to validation, and the record improves the next run.
Control loop
Execute, validate, record, improve.
WhatsApp, voice, email, documents, and tasks follow the same operating rhythm.
The agent executes what is safe
Action, confidence, policy
Risk goes to validation
Reason, owner, next action
The record stays reviewable
Transcript, outcome, QA
The pattern improves the workflow
Trend, coaching, policy
What stays recordedTranscript, decision, outcome, QA, and next action stay attached.
Production workflow
A real WhatsApp request, from intake to final record.
Assist resolves the routine, sends risk to a human owner, and keeps transcript, SLA, outcome, cost, and QA ready for review.
Request arrives on WhatsApp
Assist resolves the routine
Risk goes to the owner
The record stays complete
The pattern improves the flow
Evidence bundleTranscript, owner, SLA, QA, cost, and outcome stay in the same record.
Where to start
Start with the workflow already under pressure.
Service, SDR, collections, voice, documents, and back office can start as focused pilots, then expand into the same governed platform.
Assist + Insight
AI for service and support
WhatsApp, chat, email, and SAC with queues, SLA, policy, and human validation visible.
Assist + Tasks
AI SDR and sales
Qualify leads, handle objections, prepare follow-up, and keep CRM updated.
Assist + Voice + Tasks
AI for outbound and collections
Email, voice, and WhatsApp outreach with policy, account context, and a clear next action.
Voice
AI for voice and reception
Answer, route, transfer, and record calls with transcript evidence.
Launch with control
Start with one controlled flow. Expand by evidence.
Zild connects channels, systems, policies, and human review before go-live. After launch, QA, cost, outcomes, and exceptions show what to scale next.
Low confidence, policy risk, SLA pressure, or high-value customer context triggers review.
The owner receives transcript, summary, customer state, and suggested next action.
Decision, outcome, QA note, cost, and follow-up remain searchable.
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 Zild about your first production AI workflow.
We'll review your use case, channels, systems, and operating risks, then outline a controlled pilot with evidence and a path to expand.
Talk to the team now
Start on WhatsApp. When we are online, we usually respond within minutes.