Agentic transformation

 

Mosaic OS

The contextual intelligence layer for enterprise AI
See how it works

Move beyond discrete smart systems toward an intelligent enterprise that can reason, think, and evolve.

 

As organizations build increasingly capable systems, the next opportunity is enabling them to operate with shared context and coordinated intent. The shift is moving from separate tools to a connected symphony, where information flows easily between departments and every decision works in harmony with the rest of the business.​

This is how an enterprise begins to act as one. By aligning these smart systems into a single architecture, the entire organization can think, decide, and respond with collective intelligence.​

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A few smart systems don’t equal one intelligent enterprise.​

The unlock

Mosaic OS
makes the enterprise intelligent


Mosaic OS serves as the unifying layer between AI models and business systems. It ensures every agent, model, and system operates with the same context, the same rules, and the same understanding of what matters.


Mosaic OS turns your enterprise knowledge: data, policies, business logic, and real-time signals into a shared operational context that AI systems and agents can use consistently.​ The result is a steadier execution, where agents collaborate across workflows, decisions stay consistent across functions, and actions reflect the same rules and priorities without constant manual coordination.​​

Connect, don’t replace. Mosaic OS works with your existing models, systems, and vendors, adding the coordination layer that helps everything work together, reliably and at scale.​

 

 

The shift

Design principles behind Mosaic OS

As enterprise AI systems evolve, the platform must stay flexible and aware of context, adapting easily to new agents, models, and workflows. These principles guide how Mosaic OS helps intelligence scale across the enterprise.

Storyboard
Knowledge-led
context

Every system operates from a common understanding of enterprise data, policies, and signals. A shared context eliminates information gaps and ensures agents act with the same awareness of the business.

dodge-2
Modular orchestration

Workflows are designed to be dynamically orchestrated rather than manually routed. The platform enables agents and systems to coordinate tasks automatically as processes evolve.

Puzzle-2
Governance
by design

Policies, controls, and guardrails are embedded into the system architecture.
Governance is enforced in real time, so autonomy can scale without introducing risk.

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Continuous learning system

Agentic systems are designed to learn collectively. Insights generated by one agent can be reused across the ecosystem, allowing intelligence to improve over time.

Inside Mosaic OS in four steps

number 01

Signals become context

Your systems, policies, and live data merge into a single, shared intelligence layer. Every agent operates with the same enterprise-wide awareness.

number 02

Intent sets the boundaries

Clear goals and guardrails are established before action begins ensuring every agent understands the mission and the limits of its authority​

number 03

Agents work together

Workflows coordinate who does what, in what order, with full visibility into every decision and handoff.

number 04

Outcomes make it smarter

Every result feeds back into the core. Policies refine, models adapt, and the entire system grows more capable with every cycle.​

Under the hood

Six core capabilities.
One agentic enterprise.

Mosaic OS takes six foundational capabilities and makes them operational — embedded into how your enterprise actually runs.

Frame 4552

Domain Intelligence

Grounds AI in how your business actually works.

Ensures agents understand your enterprise ; how decisions are made, what mattersa, and how your business actually runs.

Key capabilities

checkBusiness rules and policy modeling
checkOrganizational structures and priorities
checkIndustry and domain ontologies
checkOperational goals and constraints

Frame 4553

Orchestration

Controls how work moves through the system

It ensures the right agent handles the right task at the right time, turning separate actions into one coordinated flow.

Key capabilities

Workflow routing and sequencing
Dynamic agent selection
Parallel and sequential execution
Built-in retries and fallbacks

Path

Agent mesh

Lets agents find and work with each other.

The mesh lets them discover capabilities and collaborate naturally, handing off tasks without the need for hardcoded integrations.

Key capabilities

Agent registry and discovery
Inter-agent communication
Capability matching
Load balancing and failover

Matrix-3

Governance & human oversight

Keeps autonomy inside the lines.

Autonomy without governance is liability. This layer enforces policies, logs decisions, and ensures every action is explainable.

Key capabilities

checkPolicy enforcement at runtime
checkOutput filtering and safety checks
checkAudit logging
checkAccess control

connected brain-3

Memory & context

Gives agents a shared memory.

Without memory, every interaction starts from zero. This layer provides the history, knowledge, and context agents need.

Key capabilities

checkSession and conversation rate
checkEnterprise knowledge retrieval
checkUser and organizational context
checkLong-term pattern storage

Eye-2

Observability & learning

Makes the system visible and improvable.

You can’t improve what you can’t see. This layer tracks execution, measures performance, and catches drift early.

Key capabilities

checkAn enterprise system for agentic automation
checkA consistent approach across Nagarro engagements
checkA blueprint for clients adopting AI-native workflows
checkA foundation for scalable transformation programs

Architecture defines.
Mosaic OS executes.

Design without execution is a diagram. Mosaic OS takes six foundational capabilities and makes them operational, embedded into how your enterprise actually runs.
Mosaic OS architecture
For CXOs

What this actually means for you.

Skip the architecture talk. Here's what changes when Mosaic OS is running.

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Your AI investments start compounding

What one team builds, the entire organization can use.Knowledge spreads naturally, and redundant efforts disappear.​

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Decisions stay coherent across functions

Marketing, operations, and finance all work from a shared playbook, moving beyond silos to a unified strategy.​

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Autonomy scales without risk scaling with it

Every action is governed and explainable. You gain the velocity of automation without compromising on oversight.​

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Stop being the middleware

Your best people stop routing information between systems and start focusing on the work that truly moves the needle.​


“Shared context is the missing breakthrough in enterprise AI. When every intelligent system understands the business the same way, fragmented automation becomes coordinated intelligence.”

Rahul Mahajan-png-1 — Rahul Mahajan | CTO, Nagarro

 

Engagement

Three ways to start

Every engagement is designed to prove value before you scale commitment.

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Discover

We assess where you are - AI maturity, architecture gaps, governance readiness. You get a clear picture of what’s working, what’s not, and where coordination would have the biggest impact.

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Architect

We map your systems, indentify high-value agent opportunities, and design a target architecture using Mosaic OS. You get a blueprint specific to your stack and your constraints.

scale

Build & Scale

We implement agents, integrate with your systems, deploy with governance and monitoring, and train your teams to run it. You get production-ready coordination that grows with you.

Contact us to get started
 

Agentic AI for enterprises

The questions CIOs, CTOs and enterprise leaders are asking about agentic AI transformation

Ready to talk?

Ready to help your enterprise think as one?
Connect with our Agentic OS team.

 

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