Voice Agent Control

Keep AI voice agents inside the workflows you trust

Intoku gives teams the tools to define guardrails, approved question paths, proactive call rules, and escalation workflows so AI voice agents can operate safely, consistently, and under human control.

Workflows in actionSafe AI adoption
Trigger
Approved questions
SLA timer
Escalation
Audit trail
Workflow Guardrails

Workflow guardrails for every AI conversation

Define what an AI voice agent can ask, when it should call, what it should do next, and when it must hand over. Intoku turns customer policy into structured workflows that agents follow step by step.

Intoku
Q&A builder
Audit trail
Intoku
SLA & retry
Escalations
Scheduled proactive calls

Create call schedules for check-ins, service updates, reminders, or reassurance calls. Agents follow the approved workflow every time.

UI mockup of scheduled proactive workflows
Dynamic proactive calls

Trigger workflows from real-world events such as weather warnings, power outages, local service disruption, alarm events, or operational incidents.

Weather Alert

Critical•Just now

Power Outage

High•2 mins ago

Telecom Issue

Medium•5 mins ago
Guardrails for AI conversations

Limit the agent to approved intents, question paths, responses, actions, and escalation rules.

Intent Verified
PII Masked
SLA Defined
Escalate after X time

Build workflows step by step

Configure proactive call campaigns and guardrails using a structured process.

  • 1

    Choose a trigger

    Schedule, weather alert, power outage, alarm event, missed check-in, or operational incident.

  • 2

    Define the approved questions

    Question builder, answer types, required/optional answers, and safe fallback responses.

  • 3

    Add decision paths

    Branch on answer, timeout, failed contact, risk flag, or no response.

  • 4

    Configure SLA and retries

    Due time, retry interval, max attempts, and escalation on breach.

  • 5

    Publish with auditability

    Versioning, review status, change history, and test preview.

Question Builder

Question builder for controlled AI conversations

Instead of leaving conversations open-ended, teams can define approved questions, permitted answer types, safe fallback responses, and escalation rules. Agents stay inside the customer’s policy, while operators retain oversight.

Approved question library
Use versioned sets of pre-approved questions.
Structured answer types
Enforce yes/no, multiple choice, or free text with constraints.
Fallback wording
Ensure the AI handles uncertainty with safe, pre-defined phrasing.
Escalation rules
Route to human oversight immediately on specific triggers.
Dynamic Triggers

Trigger workflows from the real world

When an external event matters, Intoku can initiate the right workflow: notify residents, run reassurance calls, confirm attendance, collect structured responses, or escalate to operators when rules require it.
Severe weather warnings

Automatically launch reassurance calls for vulnerable areas.

Power outages

Check on equipment dependencies and confirm safety.

Telecoms & housing incidents

Mass structured updates with acknowledgement collection.

Sensor inactivity

Initiate contact when in-home passive sensors flag unusual lack of movement.

Automation Coverage+18.2%
100%
Automated
95.0%45,200
VS
Manual
5.0%2,380
x
Time SavedWeekly Report
82%
38%
Automated Capabilities
Compliance Checks100%
Call Analysis95%
Risk Detection88%
Agent Training75%
Reporting60%
Escalation45%
Quality Intelligence Metrics
98.5%Last 30 Days

Overall QA Coverage

x
Time Saved
1,240 hrs+34%
Calls Assessed
42,000+24%
Cost Reduction
35%+15%
Quality Score
87%
+38%
Hours SavedManual QA reduction
+1,240
Risk PreventedEscalations caught
+340
Recent Events
Auto-QACall Assessment
+100%
ComplianceWeekly Audit
+98%
Manual ReviewEscalated Event
-Action
Data ProcessingAlarms Analyzed
+10.5k
Quality ScoreOverall Average
+94%
Governance

Designed for governed AI operations

Keep AI voice agents transparent and accountable.

Customers define the workflow Complete control over every path.

Agents follow approved paths No unprompted conversational tangents.

Exceptions escalate Immediate handover on failure or risk.

Every step can be audited Full transparency into decisions.

Humans remain in control Clear distinction between AI support and human accountability.

Governance statistics dashboard showing active AI agents, SLAs, human operators, and workflows

Workflows in Action

Examples of how teams use Intoku voice agent control.

Weather event reassurance

Trigger outbound calls when a severe weather warning affects a region. Confirm wellbeing, collect structured responses, and escalate exceptions.

Power outage response

Start a workflow when an outage is detected. Contact affected people, ask approved questions, and route urgent issues to operators.

Scheduled check-ins

Run proactive calls at agreed times, retry failed contacts, and escalate missed confirmations.

Alarm follow-up

Use approved Q&A and workflow routing after an alarm event to confirm status, document outcomes, or hand over to a human.

Service disruption updates

Send structured calls when a local service changes, capture acknowledgement, and follow up where required.

Post-hospital discharge

Proactively contact individuals returning home to verify wellbeing, confirm care plan understanding, and escalate any immediate concerns.

Equipment maintenance

Automate notifications for upcoming equipment servicing or battery replacements, securely capturing confirmation or requests for assistance.

Welfare checks

Conduct routine or ad-hoc welfare checks with vulnerable users, ensuring compliance with operational protocols while freeing up human capacity.

Frequently Asked Questions

Ready to build controlled AI workflows?

Design proactive campaigns, define your question library, and set up your guardrails.