Build Agents in Seconds
Conductor builds voice, chat, and web agents from one SOP.
We handed WhatsApp and voice support to the agent and watched complaints resolve before they ever reached a manager.
D
Operations team
Domino's
Trusted across millions of customer conversations
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.
Multi-channel agents
Use agents wherever your customers are visiting your business.
Multilingual by Default
Keep context while customers move between 50+ 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 without the awkward pause.
One system for agents,
journeys, and improvement
Every agent shares one customer context.
One memory. One clear measure of done.
Agents
Deploy voice, chat, web, and email agents that share one operating context and stay accountable to the same customer outcome.
- Voice, chat, web, and email 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
Conductor
Build agents by describing the outcome, SOP, tools, policies, and brand voice in natural language. Conductor does everything else.
- Skills and system access
- Brand voice and guardrails
- Scenario testing before launch
Describe a change...↑
Journey
Give journey SOP and it converts it into AOPs (Agent Operating Procedures). Journey stays accountable across channels and days with one goal, persistent memory, and the right next action.
- 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
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
QueuedConnect every tool carrying
your customer work.
One context across every authorized system. Osvi reads and acts through 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
Stop after one conversation or ticketOwn the outcome until it is complete
Lose context when the channel changesCarry one memory across every interaction
Require teams to stitch tools and workflows togetherChoose voice, WhatsApp, email, chat, people, or APIs
Measure calls, messages, and handle timeMeasure completion, revenue, resolution, and quality
Escalate work without preserving the journeyBring human judgment in with full context
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, including natural English, Spanish, Hindi, and 50+ other languages.
How quickly can we launch a pilot?
A focused pilot starts with one measurable journey, its SOP, policies, integrations, and test scenarios. We can launch a pilot in as little as 2 weeks.