Coordinate rider hiring, finance reconciliation, and customer feedback across voice, WhatsApp, email, chat, and connected business systems.
How teams use Osvi
Start with a customer outcome, then coordinate every conversation, system action, and handoff needed to complete it.
Handle booking journeys, customer support, and new guest outreach across channels without making guests repeat information.
Coordinate candidate outreach, screening, scheduling, and follow-up as one continuous journey.
Trusted by customer operations team
Built to finish
the job, not just the conversation
Most bots answer one message and stop. The follow-ups, the reminders, and the updates in your systems still land on your team. Osvi carries the work all the way to done.
Agents built in english
Conductor builds voice, chat, and web agents from one SOP.
Multi-channel agents
Use agents wherever your customers are visiting your business.
Multilingual by Default
Keep context when customers move between supported languages.
Run Long Journeys
Carry the next action across channels, systems, and days.
82%coverage
Policy coverage
Policies, approvals, and handoffs checked.
Guardrails Built In
Keep policy checks, approvals, and handoffs inside every journey.
Human-Quality Voice
Natural, responsive conversations designed around each use case.
Every action your team takes
we have agents for that
Journey owns the outcome. Conductor builds the team. Agents act. Observability explains every decision. Evals improves every release.
Journey
Journey owns the customer outcome. It keeps choosing and executing the next useful action across channels and days until the work is complete.
- Persistent customer memory
- Cross-channel orchestration
- Outcome-based completion
- 1
Understand the requestStart with the customer context already on file.
- 2
Coordinate the next stepChoose the right agent and continue with shared context.
- 3
Confirm the outcomeVerify completion, then stop every follow-up.
Chat agentCustomer concierge
Voice agentFollow-up specialist
Conductor
Describe the outcome, SOPs, tools, policies, and brand behavior in natural language. Conductor assembles reusable specialist teams and simulates them before release.
- Build reusable specialist teams in natural language
- Connect tools, guardrails, approvals, and brand behavior
- Simulate and verify every team before launch
Describe a change...↑
Agents
Specialist agents act across voice, WhatsApp, email, chat, and web while sharing one operating context and accountability for the same outcome.
- Channel-native specialist agents
- Shared memory across every channel
- One coordinated agent team
Configure the voice agent
Set the prompt, conversational model, and speaking voice.
Open with the booking context already on file. Confirm the requested change. Offer only policy-safe alternatives, then summarize the final action before ending the call.
GeminiGemini 3.5 Flash
DeepgramNova-3
Observability
See every interaction, decision, tool call, guardrail, and outcome, then improve agents with evidence.
- Journey-level metrics
- Conversation and decision traces
- Self improving agents
Runs
Engaged
Goal met
89.4+6.8 points
Decision traceRun #4821
Signal
Call connectedJourney memory attached
CapturedDecision
Change intent understoodNext-weekend stay requested
ReasonedTool
Booking API checkedTwo matching rooms available
SucceededPolicy
Refund policy verifiedNo exception required
PassedOutcome
Booking movedConfirmation sent and goal closed
CompletedEvals
Test every agent version against realistic customer scenarios, inspect the judge evidence, and compare variants before release.
- Simulated customer scenarios
- Judge scores with reasons
- Variant comparison before release
v18 · Baseline96.4
v19 · Candidate98.7
Scenario suiteAgent v19
01Voice
Refund requested in policy windowUpset customer · Voice
Queued02Language
Language switches mid-conversationHindi to English · WhatsApp
Queued03Policy
Discount pushed beyond policyGoodwill limit correctly enforced
Queued04System
Payment fails twice, then retriesRecovery path · Voice
Queued05Handoff
Human handoff requested immediatelyEscalation path · Chat
QueuedSeamless Integrations.
Connect with your CRM, helpdesk, messaging, calendars, payments, and internal APIs while the journey stays intact.
A smarter alternative
to disconnected bots
When a customer chats on WhatsApp today and calls tomorrow, most tools treat them as a stranger. That gap is where revenue, follow-ups, and trust quietly leak.
Existing voice and chat botsOsvi long-horizon agents
People still connect tools and decide every next action by hand.Osvi agents autonomously decide and execute the next approved action across tools and systems.
Voice-only bots keep retrying one expensive channel, even when another channel would finish the job.40% lower operating cost by selecting the best mix of voice, WhatsApp, email, chat, web, or human support for the outcome.
Building, wiring, and testing a new bot can take weeks before a team sees a result.7× faster with Conductor turning SOPs, tools, policies, and tests into a launch-ready specialist team in minutes.
Context resets when a customer changes channel or returns another day.One persistent journey memory follows the customer across every interaction and period of waiting.
Opaque automation leaves teams guessing why a decision was made or whether the outcome was reached.100% traceable with every conversation, decision, tool call, guardrail, and outcome available for inspection.
Practical insights for
agentic operations
Engineering
Why Your Voice AI Feels Slow: The Complete Guide to Latency Optimization
Every millisecond matters in voice AI. Here's how latency affects user experience and what you can do to optimize the entire conversation pipeline.
Industry
Inbound vs Outbound Voice AI: Where Complexity Meets Opportunity
Why understanding intent and context determines which voice AI use cases succeed - and which ones waste your budget.
Engineering
Beyond the Monolithic Prompt: Why We Built Agent Flows for Voice AI
How Agent Flows solve the fundamental limitations of single-prompt voice agents through graph-based conversation design.Answers Before
You Get Started
What is a long-horizon agent?
It is an agent that stays accountable for a business outcome across multiple interactions, channels, systems, and periods of waiting instead of stopping after one conversation.
Can Osvi work with our existing systems?
Yes. Osvi can read and act through authorized CRMs, helpdesks, scheduling systems, payments, internal APIs, and communication channels.
How do humans stay in control?
Every journey can include approvals, policy checks, confidence thresholds, redaction, and contextual handoffs. Observability keeps every action traceable.
Which languages and channels are supported?
Osvi supports voice, WhatsApp, SMS, email, and chat. Language support is configured around the needs and quality requirements of each deployment.
How quickly can we launch a pilot?
A focused pilot starts with one measurable journey, its SOP, policies, integrations, and test scenarios. Timing depends on the systems, edge cases, and approvals involved.