Forward-Deployed Engineering
A pod that sits with your team and ships one workflow at a time.
Explore forward-deployed engineeringAccelerator · conversations and workflows
One platform for every conversation and every workflow. Agents built from your SOP that talk, act and learn — in your customer's language, inside your environment.
A request comes in by call, chat or WhatsApp. Getting it done still means someone moving it by hand across systems, teams and approvals.
a person copying, calling, chasing
One workflow, designed once from your SOP.
Real conversations through voice, WhatsApp, SMS, email, Telegram or web chat, in your customers' own language.
Gets things done mid-conversation: books, verifies, updates your systems, takes payment.
Checks every conversation for quality and compliance, and feeds what it learns into the next version of the workflow.
Pre-integrated with enterprise systems through governed MCP connectors.
Builds one shared memory across every conversation and every channel.
Runs in your cloud, on your choice of model, with a full audit trail.
VocoMotiv · Agent Factory
Bring your SOP, conversations and system knowledge. Build the workflow, test its behaviour, then publish the agents that run it.
Agent FactoryLead qualification
Illustrative workflow
01 · Acquire
Sample conversations show how people speak. Your SOP defines the process. API docs and your knowledge base give the agent the context and tools to act.
Sample transcripts
How prospects qualify, object or ask for a callback
Behaviour and personality
Language, tone and conversation boundaries
Workflow / SOP
Qualification, booking and escalation rules
API docs
CRM, calendar and booking interfaces
Knowledge base
Offer details and approved answers
Lead qualification
Workflow / SOP
Sample conversation
ProspectI am interested, but I am in a meeting. Can you call me later?
AgentOf course. What time would work for a callback?
Stage output
A workflow brief grounded in your conversations, rules and systems.
Agent FactoryLead qualification
Illustrative workflow
02 · Create
Connect what the agent understands to the knowledge it can use, the actions it can take and the moments a person should step in.
Lead qualification graph
Select a node to explore its steps, data and next paths. Scroll the canvas sideways on smaller screens.
Open the conversation, establish identity and ask permission to continue.
Steps
Data in scope
Next paths
Stage output
A workflow blueprint linking conversation, knowledge, actions and human hand-off.
Agent FactoryLead qualification
Illustrative workflow
03 · Test
Synthetic test cases exercise the routine journey and its exceptions. The test case executor checks the response, system action and hand-off against the expected behaviour.
Synthetic test cases
Example result
Qualify an interested prospect
Expected behaviour: Collect the qualification fields and choose the pitch
Prospect is busy
Expected behaviour: Capture a callback time and schedule the follow-up
Prospect is not interested
Expected behaviour: Close respectfully and record the outcome
Request a person
Expected behaviour: Hand off with the conversation context
Test case executor · callback path
Stage output
A test record showing what happened and how it matched the workflow rules.
Agent FactoryLead qualification
Illustrative workflow
04 · Publish
Workflow, QA, analyser and RAG agents work together across conversation channels, connected to your systems and running in your environment.
Workflow agent
Carries the conversation through the SOP
QA agent
Reviews conversation quality and adherence
Analyser agent
Extracts insights from the conversation
RAG agent
Retrieves answers from your knowledge
Conversation channels
Your environmentYour cloud or on-premise · your choice of model
Shared context and audit trailConversation, system actions and human hand-offs stay connected.
Stage output
Agents connected to your channels, with shared context and an audit trail.
Channels
Models
Orchestration
Connectors via MCP
Data & memory
Security
Observability
Runs on AWS · Azure · Google Cloud · private cloud · on-premise
LanguagesIndian languages and Hinglish code-switching · English · Spanish · French
Sample use case

Used in
In an engagement
Agents built from your SOP that talk on voice, WhatsApp, SMS, email and chat, and act in your systems mid-conversation.
A pod that sits with your team and ships one workflow at a time.
Explore forward-deployed engineeringAI models, apps and agents, and the integration and cloud work around them.
Explore full-stack AIPriced per workflow.
Bring one workflow. Leave with a governed system running in your environment.