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Dasha CRM integration and automation

Dasha is a conversational AI platform that enables businesses to build and deploy voice and text-based AI agents capable of handling real customer...

What we connect Dasha toWe integrate and automate Dasha alongside Evervault, SIGNL4, AWS Textract, Wonderchat, CalendarHero, Cloudinary and hundreds of other systems.osher.com.auDashaintegrated & automatedEvervaultSIGNL4AWS TextractWonderchatCalendarHeroCloudinary
Dasha

What you can automate with Dasha

Dasha is a conversational AI platform that enables businesses to build and deploy voice and text-based AI agents capable of handling real customer interactions. Unlike simple chatbot builders that rely on rigid decision trees, Dasha uses natural language understanding to manage multi-turn conversations, handle interruptions, and respond to unexpected user inputs — making it suitable for scenarios where scripted bots fall short. Phone-based customer interactions remain critical for many businesses, yet staffing call centres is expensive and scaling them during peak periods is difficult. Dasha addresses this by letting organisations deploy AI agents that can handle routine calls — appointment scheduling, order status enquiries, payment reminders, qualification calls — while sounding natural enough that callers engage with them rather than hanging up in frustration. Osher Digital builds AI-powered automation solutions for Australian businesses, and voice AI sits at the intersection of our AI agent development and business automation capabilities. We can design conversational agents using platforms like Dasha that integrate with your CRM, booking system, or support ticketing platform, so the AI agent doesn’t just talk — it takes action on behalf of your business. If your team spends significant hours on repetitive phone interactions, deploying a well-designed voice agent can free up staff for conversations that genuinely need a human touch. Our AI consultants can assess which call types are suitable for automation and design an implementation roadmap that delivers results without compromising customer experience.

Dasha FAQs

Frequently Asked Questions

Common questions about how Dasha consultants can help with integration and implementation

Dasha works well for structured, repetitive call types such as appointment booking, order status checks, payment reminders, lead qualification, survey collection, and basic customer support enquiries. Calls that follow a general pattern but need flexibility in how the conversation unfolds are ideal candidates.

Dasha is designed to produce natural-sounding speech with appropriate pacing, pauses, and intonation. It handles conversational elements like interruptions, corrections, and topic changes, which distinguishes it from older IVR-style systems that require callers to follow rigid menu structures.

Yes. Dasha provides integration capabilities that allow the AI agent to read from and write to external systems during a conversation. This means the agent can look up customer records, check availability, create bookings, update order statuses, or log call outcomes in your CRM in real time.

Dasha uses a declarative language called DashaScript to define conversation flows. Developers write the dialogue logic, define intents and entities, and specify how the agent should respond to different user inputs. The platform handles the speech recognition, natural language understanding, and text-to-speech components.

Dasha agents can be configured with fallback rules that transfer the call to a human agent when the AI reaches the limits of its capability. This escalation can be triggered by specific keywords, repeated misunderstanding, or when the caller explicitly requests to speak with a person.

Dasha supports multiple languages and accent variations. For Australian deployments, it is important to test the speech recognition accuracy with local accents and terminology during development to ensure the agent understands callers reliably before going live.

How it works

Implementing Dasha

Step 1

Identify High-Volume Call Types

Audit your current phone interactions to find repetitive call types that follow a predictable structure. Look for calls where the agent asks standard questions, collects specific information, or provides routine updates — these are the best candidates for voice AI automation.

Step 2

Design the Conversation Flow

Map out the dialogue for each call type, including opening greetings, key questions, expected responses, clarification prompts, and closing statements. Account for common variations — callers who provide information out of order, ask off-topic questions, or need to correct earlier answers.

Step 3

Build the Agent in DashaScript

Translate your conversation design into DashaScript, defining the intents, entities, dialogue states, and transition logic. Configure the speech recognition settings, voice characteristics, and response timing to create a natural conversational rhythm.

Step 4

Connect to Backend Systems

Integrate the Dasha agent with your CRM, booking platform, database, or other systems it needs to access during calls. Set up the data queries and write operations so the agent can look up information and record outcomes in real time.

Step 5

Test with Real Scenarios

Run the agent through extensive testing using realistic call scenarios, including edge cases like callers with heavy accents, background noise, unexpected questions, and requests to transfer to a human. Refine the conversation logic based on where the agent struggles.

Step 6

Deploy and Monitor Call Quality

Launch the agent on a subset of incoming calls and monitor transcripts, completion rates, and customer satisfaction signals. Use the data to continuously improve the conversation flows, expand the agent's capabilities, and identify new call types suitable for automation.

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