One platform · Human accountable

Operational intelligence,one governed journey.

OpenOS connects channel-native AI entry, operational orchestration, context-preserving human escalation, and quality-driven learning inside one accountable operating system.

Talk to an FDE Explore the platform

Sales-led and implementation-led. Scope and availability are confirmed per engagement.

Conversations

Cases

Knowledge

Policies

OpenOS

Resolved work

Human action

Audit evidence

Learning loop

Signals inShared context + AgentOpsIntelligence out

Meet customers where work begins

Voice and IVR

Web

The operating loop

Four phases. One case history.

Every phase carries forward conversation, decision context, workflow state, ownership, and audit evidence. These are connected capabilities—not separate products.

Agent Platform

Handle structured intake, FAQs, deterministic flows, and approved actions at the frontline.

Orchestration

Classify intent, extract entities, route work, and coordinate policy-controlled actions.

Workspace

Give people full history, AI summaries, ownership, and exception context when judgment is needed.

Quality Center

Transcribe, score, coach, and feed reviewed findings back into knowledge and workflows.

Trace

Conversation → ticket → audit

Release

Versioned flows and evaluations

Control

Release gates, rollback, kill switches

Evidence

Quality findings feed the next release

Operational outcomes

Make the work measurable before making it autonomous.

Resolve routine demand

Use approved knowledge and actions to contain predictable work without losing governance.

Create operational records

Convert every interaction into structured cases, ownership, state, and an evidence trail.

Escalate with context

Move ambiguous or high-risk work to people with the full conversation and decision history.

Learn from reviewed evidence

Turn quality findings into coaching, knowledge improvements, and controlled workflow releases.

Built for controlled adoption

Automation with an explicit boundary.

Bound automation to approved intents, actions, and escalation rules.

Preserve conversation, case, workflow version, and decision history.

Improve from reviewed evidence and measured outcomes—not confidence alone.

Customer-owned data

Customer data is not sold or used to train public models without written agreement.

Traceable control

RBAC, audit trails, version history, release controls, and human oversight support accountable operation.

Documented lifecycle

Encryption in transit, retention, deletion, and incident processes are documented in the Trust Center.

Review the external Trust Center

Forward-Deployed Engineering

Software meets the workflow where it actually runs.

OpenOS engineers map systems, define automation boundaries, establish KPI baselines, configure the operating model, and support go-live and hypercare.

01Map systems and integration points
02Define automation and escalation boundaries
03Baseline KPIs and measurement windows
04Configure, launch, and support hypercare

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One platform. One company.

OpenOS Technologies Pvt Ltd

We build governed operational intelligence with customers, combining production software with Forward-Deployed Engineers who understand the workflow behind the interface.

Sales and discovery General inquiry

Enterprise FAQ

What is OpenOS?

OpenOS is one governed platform for AI-assisted customer entry, operational orchestration, human case work, and quality learning.

What happens when AI cannot safely resolve a case?

The case moves to the Workspace with its conversation, extracted context, workflow state, ownership, and audit evidence intact.

How is customer data used?

Customer data remains customer-owned and is processed for the agreed service. It is not sold or used to train public models without written agreement.

Can OpenOS run in a customer-controlled Azure environment?

Customer-controlled and private Azure deployment patterns can be scoped during the Forward-Deployed Engineering engagement.

What does an FDE engagement include?

It includes integration mapping, automation boundaries, KPI baselines, workflow configuration, production rollout, and hypercare.