Too much switching
Staff move between calls, customer records and operational systems to answer one question.
Bring the power of Voice AI to Odoo. Turn customer calls into verified answers, captured leads and the right next step.

Looking up an order. Creating a lead. Writing a call note. The conversation is only the beginning of the work.
Staff move between calls, customer records and operational systems to answer one question.
Follow-ups depend on someone capturing the right information after the call.
After-hours requests and busy periods can leave customers waiting for a next step.
Start with the workflows that matter most. Each action is scoped to your business rules and access permissions.
Find the right Odoo record and apply identity checks before sharing information.
CUSTOMER RECORDSTurn an enquiry into a structured lead, with context for your sales team.
CRMRetrieve authorised order details and explain the verified status to the caller.
SALESCheck available slots and record an appointment after customer confirmation.
APPOINTMENTSCreate a ticket with the issue, customer details and conversation context.
HELPDESKSave a concise call summary and assign the right follow-up activity.
NOTES & ACTIVITIESStep through an illustrative order-status enquiry, from the first hello to the final record.
“Can you check the status of my order?”
The agent identifies an order-status request and asks for the information needed to continue.
Voice AI requests. Appther validates. Odoo executes.
Telephony · Voice agent
Conversation context
Reference architecture. Provider, modules and API access are confirmed during discovery.
A Google speech stack for the conversation, Twilio for the line, and a Python layer that decides what the agent is allowed to ask Odoo for.
Reference stack. Model versions, telephony provider and Odoo API access are confirmed against your environment during discovery.
Send us a handful of recordings from the calls your team takes now. We will tell you which of them a voice agent could take, what your Odoo would need to expose, and what a focused pilot would involve.

Real calls include ambiguity, interruptions and unavailable systems. A reliable workflow needs a clear path for each.
Talk through your exceptionsUse returned records for factual answers. Ask for clarification when information is missing.
Validate important actions and request confirmation before changing a business record.
Handle timeouts and unavailable services without promising an action has succeeded.
Give the team a summary, the customer’s request and the actions already attempted.
A focused pilot tests the difficult moments as carefully as the happy path.
Use agreed identity checks to resolve ambiguous matches. Never select a customer record on a name match alone.
Set bounded timeouts, acknowledge the wait and offer an escalation route when the lookup cannot complete.
Use request identifiers and duplicate checks to prevent repeated lead, ticket or booking creation.
Agree the baseline, test sample and acceptance criteria before launch. Measure completed work, alongside conversation quality.
Did the supported request reach the correct outcome?
Completed vs attemptedHow much staff effort did each enquiry require?
Minutes per enquiryWas the right information saved to the right record?
Sampled and scoredCould a human continue with sufficient context?
Reviewed per transferMeasurement framework shown above. No client performance results are claimed for this solution showcase.
Map calls, Odoo modules, permissions and success criteria.
Configure the agent and build the approved integration tools.
Test real scenarios, interruptions, exceptions and handovers.
Launch a bounded pilot, review outcomes and refine.
We first review your Odoo version, hosting model, API access, custom modules and permissions. Those findings determine the supported integration approach.
Yes, where explicitly enabled through validated tools. Read and write permissions are scoped separately, with confirmation rules for actions such as bookings or record updates.
Choose a frequent, well-defined request with accessible data and a clear success condition. Order enquiries, structured lead capture or ticket creation can be useful starting points.
The design can include a live transfer, support ticket or callback request. The right option depends on your telephony setup, staffing and support process.
Scope depends on workflows, languages, call volumes, integrations and testing requirements. After discovery, Appther can provide a scoped estimate that separates implementation and ongoing usage costs.
Tell us which calls your team handles manually. Let’s define a focused Voice AI pilot for your Odoo workflows.
sales@appther.com ↗