Multilingual voice marketing scenario.
Dyna.Ai Agent Studio
Build AI Agents for real business outcomes.
Turn high-value enterprise workflows into role-based AI Agents, grounded in trusted knowledge and governed from build through production.
Proven product performance
Speed to launch. Precision at scale.
Approved performance results from defined Agent Studio product scenarios.
Voice customer-service scenario.
Product-service knowledge scenario.
Product tour
Build. Prove. Deploy. Improve.
Bring business, operations and technology teams into one clear path from build to improvement.
From workflow to working Agent.
Define the business goal, workflow, permitted actions, channels and accountable owner in one place.
Intent mapped
Workflow draftHour-levelSetup
Start with a job, not a prompt.
Define what the Agent is accountable for before you connect the context around it.
01
A clear business outcome
Name the work to move forward, the result that matters and the team that owns it.
02
A role with boundaries
Set the task path, permitted actions, escalation points and channels the Agent can use.
03
Context in the moment
Bring the customer, case and workflow context together when a decision or action is needed.
04
An accountable handoff
Make ownership clear when the workflow needs a person, an exception or a final decision.
AI Workforce, built to fit
Build the roles that move your business.
Create role-based Agents for service, sales, collections, risk and employee workflows, then deploy them across voice, text and messaging.
Explore AI Workforce MarketplaceSelected workflow
View page Customer Service Agent
Resolve more service requests with trusted answers, permitted actions and contextual human handoff.
- 01Channel request
- 02Source check
- 03Permitted action
- 04Handoff summary
Available channelsVoice, text, messaging, web and employee-facing copilot surfaces.
Enterprise foundation
Connect the context behind every Agent.
Give each production workflow the intelligence, systems and people it needs to operate in your business.
Match model capability, runtime and response needs to the job.
Keep approved policies, product information and procedures close to every response.
Deliver the same governed experience through voice, text, messaging and web.
Bring CRM, service, ticketing and workflow actions into the approved path.
Make permissions, review points, ownership and handoffs visible.
Use language, terminology and workflow conventions that fit each market.
Control across the lifecycle
Proof at every step.
Give teams a clear line of sight from the Agent's assigned job to the evidence that shapes every new version.
Set the release gate
Set the scenarios, owners and quality bar an Agent must meet before release.
Inspect real behavior
Review traces, exceptions and handoffs instead of relying on a happy-path demo.
Approve the right version
Move only reviewed versions into the channels and environments they are ready for.
Monitor the work in production
Use language, terminology and workflow conventions that fit each market.
Turn evidence into change
Use live gaps and feedback to shape the next tested improvement.
CUSTOMER RESULTS
Knowledge and guidance in action.
How a Hong Kong Brokerage Cut Onboarding to Three Days with AI Copilot
2 weeks → 3 daysnew-agent onboarding2 hours → 5 minutesaverage response time50%night-time query resolution
An AI Copilot helps a Hong Kong insurance brokerage retrieve approved policy knowledge and prepare adviser-ready answers while licensed advisers retain decision responsibility.