You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
PwC joins crowded orchestration space with 'agent OS' promising interoperability | EDB

PwC launches "agent OS," an enterprise AI command center to streamline and scale multi-agent workflows.

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NEWS

PwC joins crowded orchestration space with 'agent OS' promising interoperability

EDB News Desk

-

May 20, 2025

Credit: PwC (edited)

KEY POINTS

PwC launches "agent OS," an enterprise AI command center to streamline and scale multi-agent workflows.
The platform aims to accelerate AI deployment by up to 10x, moving beyond siloed experimentation to enterprise-wide adoption.
PwC's play connects AI agents from major providers with core systems like SAP and Salesforce, enhancing interoperability.

The future of enterprise automation is
increasingly envisioned
as a landscape of interconnected, fully autonomous AI agents, yet widespread, mature adoption remains a complex frontier. While
96% of enterprises plan to expand
their use of AI agents in the next year, according to a recent Cloudera survey, most are still in early, experimental phases, often relying on prebuilt tools for specific tasks. Stepping into this dynamic is PwC, which recently launched
"agent OS,"
an enterprise AI command center designed to streamline and scale these sophisticated multi-agent workflows.
Orchestration ambition:
PwC's ambition is to move organizations beyond siloed experimentation into broad, enterprise-wide AI adoption. The new platform aims to provide a unified framework for building, orchestrating, and
integrating AI agents across diverse systems
, promising to accelerate deployment up to 10x faster than traditional methods.
Addressing complexity:
PwC's agent OS tackles the critical challenge of interoperability, connecting AI agents from providers like Anthropic, AWS, Google Cloud, Microsoft Azure, and OpenAI with core enterprise systems such as SAP and Salesforce. "Unlike other tools that support siloed agent systems, PwC’s agent OS is a unified orchestration framework — acting as both the central nervous system and the switchboard for enterprise AI," the company said in its announcement.
Privacy concerns:
The push towards such advanced automation is not without risks, including data privacy, integration complexities, and the
need for robust governance
. PwC says its agent OS enhances AI governance and compliance through integrated risk management, a crucial element as businesses grapple with the "fears and risks" of deploying more autonomous systems. This cautious optimism reflects a market where
83% of organizations
see AI agent investment as vital for competitive advantage, yet 2025 is largely viewed as a year for groundwork.
Service model shift:
Beyond operational efficiency, PwC frames its agent OS as a key enabler of a broader SaaS model, where businesses pay for outcomes delivered by AI agents rather than just software licenses. This vision, moving from human-assisted "copilot" to autonomous "autopilot" systems, aligns with a projected GenAI contribution of $2.6-4.4 trillion annually to global GDP by 2030. PwC
showcases early client successes
, such as a tech company reducing contact center phone time by nearly 25% and a healthcare firm improving access to clinical insights by about 50%, as tangible examples of the potential.
While PwC's agent OS and similar platforms offer pathways to harness the power of agentic AI, the journey to full-scale, seamlessly integrated autonomous operations will be incremental for most. Success will hinge on strategic implementation, addressing persistent challenges around data quality and security, and realistically managing expectations.

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</reference>

<statements>
1. In June 2025 PwC launched agent OS, an enterprise AI "command center" for orchestrating multi-agent workflows, claimed to deploy up to 10x faster than traditional methods.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.