Driving Energy Flexibililty

PcVue 17 improves the energy efficiency of buildings and industrial processes. By centralizing data from multiple sources within a unified ecosystem, it actively optimizes energy demand through optimized control scenarios that can include AI-based forecasting, thus avoiding consumption peaks and reducing energy costs.

Also Read: Adobe Workfront AI Collaborators is now generally available 

Intelligent Assistance for Performance

PcVue 17 introduces intelligent assistance that enables users to configure workflows and orchestrate complex processes through low-code interfaces. By combining AI processing and real-time data analysis, it allows to automate routine tasks and accelerates decision-making across both systems and teams.

On the engineering side, PcVue 17 helps you design faster and be more efficient with enriched object libraries, and flexible modeling capabilities.

Certifications for Critical Infrastructure Cyber-resilience

Backed by IEC 62443-4-1 and IEC 62443-4-2 certifications, ensuring secure development processes and robust product security for industrial automation systems, the platform not only offers high performance, but also remains secure and resilient to cyber threats, thus ensuring operational confidence for critical infrastructures.

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Many marketing teams already have AI agents scattered across their team. But often, most of that work happens in an isolated fashion (in someone’s individual chat window, for instance), making it invisible to the rest of the team and disconnected from the organizational flow of work.

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Novoseletsky joins Conduent with extensive experience in corporate governance, global payments, regulatory affairs, and strategic transactions. Most recently, she served as Chief Legal Officer, Chief Compliance Officer, and Corporate Secretary at Cantaloupe, where she led legal and compliance initiatives while supporting mergers and acquisitions. Before that, she spent more than a decade at Discover Financial Services, advising on global payments, product innovation, and regulatory matters across more than 20 countries.

The appointment comes as organizations operating in highly regulated industries face increasing complexity around AI adoption, data privacy, cybersecurity, and evolving compliance requirements. As enterprises accelerate digital transformation, legal leadership is becoming a strategic function that helps organizations balance innovation with governance, risk management, and regulatory compliance.

Also Read: o9 Solutions Elevates Dr. Ashwin Rao as Chief Technology Officer 

Conduent, which delivers digital business solutions for government agencies, healthcare organizations, and commercial enterprises, continues to expand its use of technologies such as artificial intelligence, automation, cloud computing, and advanced analytics. Strengthening executive leadership in legal and governance aligns with the company’s broader efforts to support long-term operational transformation and responsible technology adoption.

The appointment reflects a broader trend across the technology industry, where companies are reinforcing executive teams with leaders who combine legal expertise with business strategy. As AI and digital services become increasingly embedded in enterprise operations, governance and compliance are playing a more central role in enabling sustainable innovation and maintaining stakeholder trust.

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“Payteros has earned a reputation in the enterprise community as a trusted digital consulting and integration firm. They have deep domain expertise delivering on its enterprise clients’ most complex work. Together, we deliver a rare combination of specialized capabilities paired with world-class engineering.” — Shaun Bank, CEO, ImagineX

Also Read: Andersen Consulting Adds Collaborating Firm Smartbridge

Both companies share a proven track record of driving measurable business outcomes and exceptional client experiences for some of the most recognizable brands in the world.

“ImagineX is the ideal partner for the next chapter of Payteros. We share a philosophy built on treating clients like partners, delivering practical technology that drives tangible ROI, and holding ourselves to the highest standard of execution. Together, we can bring even greater value to our clients and create exciting opportunities for our team.” — Cameron Balash, CEO, Payteros

The acquisition will enhance the value ImagineX can bring to its clients where seamless enterprise-wide systems are integral to scale and profitability. Terms of the transaction were not disclosed.

Source: PRNewswire

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To bridge the operational gap between initial AI pilots and production-grade software delivery, digital engineering pioneer Grid Dynamics Holdings, Inc. announced a major strategic expansion of its enterprise AI capabilities.

The company announced plans to train and certify 90% of its global engineering workforce on Anthropic and OpenAI platforms. Simultaneously, Grid Dynamics is expanding the deployment of its proprietary GAIN (Grid Dynamics AI Native) platforms and agentic meta-harness technologies across major client environments.

For the IT Consulting, Digital Engineering, and Software Transformation Services industry, this launch marks a defining milestone: shifting enterprise AI away from individual developer productivity tools and establishing certified, agentic orchestration as an enterprise delivery standard.

Also Read: DXC and ElevenLabs Partner to Scale Conversational Voice AI Across Enterprise Infrastructure

Technical Performance: Agentic Meta-Harnesses and Mass Workforce Certification

The core technological breakthrough driving Grid Dynamics’ announcement is the convergence of deep model partnerships, automated workflow orchestration, and enterprise-wide skill standardization. Rather than treating generative AI as an external autocomplete utility, the GAIN framework embeds model intelligence directly into the Software Development Lifecycle (AI SDLC).

The initiative scales enterprise AI capabilities across three critical pillars:

Massive Workforce Certification: Grid Dynamics is committing to train and certify 90% of its engineers across Anthropic and OpenAI platforms. This ensures that engineering teams possess verified, production-grade proficiency in prompt engineering, agentic architecture design, and model safety.

GAIN Platform Orchestration: Incorporating deep integrations with Anthropic Claude and OpenAI models, GAIN utilizes agentic meta-harness technologies to manage multi-step workflows, perform automated code validation, and coordinate human-AI collaboration without drift.

Proven Enterprise Production Scale: Demonstrating immediate operational impact, Grid Dynamics recently expanded the deployment of its agentic harness technology to support more than 500 engineers at one of North America’s largest home improvement retailers, streamlining complex retail software architectures.

Transforming the IT Consulting and Digital Engineering Market

Grid Dynamics’ aggressive rollout of certified AI engineers and agentic platform harnesses triggers significant competitive shifts across the technology consulting landscape.

The Obsolescence of Generic Developer “Copilots”
For the past several years, IT service providers marketed basic AI copilot adoption as a major competitive differentiator. However, granting individual developers access to basic text completion tools yields fragmented code quality and fails to accelerate complex enterprise systems integration.

Grid Dynamics’ strategy exposes the limitations of un-governed copilots. The market standard is moving toward agentic harnesses—architectures that automate spec creation, code generation, and testing validation across entire development pipelines. Digital engineering firms that rely on uncoordinated copilot usage will rapidly lose enterprise market share to partners delivering structured AI SDLC frameworks.

Redefining Vendor Moats Around “Certified AI Capacity”
Historically, global systems integrators competed primarily on headcount scale and hourly billing rates.

By tying its delivery infrastructure to formalized Anthropic and OpenAI certifications, Grid Dynamics establishes a new benchmark for software vendors. Enterprise clients facing severe internal skill deficits will increasingly choose technology partners that offer pre-certified, model-fluent engineering teams capable of immediate execution.

Broad Operational Impact on Enterprise Businesses

For enterprise organizations across retail, financial services, manufacturing, and logistics looking to modernize legacy IT stacks without accumulating technical debt, adopting a certified agentic delivery framework yields clear commercial benefits.

Insulating Operating Margins Against Delivery Delays
Building complex software solutions through manual engineering alone introduces significant financial and schedule risks. When project teams spend months writing boilerplate code, debugging legacy dependencies, and manually executing test scripts, digital transformation costs escalate. Automating routine development stages through governed agentic harnesses allows enterprises to deploy mission-critical software faster, protecting operating margins and securing first-mover advantages.

Reclaiming Engineering Capacity for Core Business Innovation
Enterprise IT organizations routinely waste significant bandwidth maintaining legacy systems and performing repetitive software updates. Shifting these routine engineering tasks onto certified AI-native platforms restores vital internal bandwidth. Corporate leadership can redirect senior engineering talent toward high-impact strategic initiatives such as proprietary product innovation, real-time analytics, and hyper-personalized customer experiences—turning baseline software engineering into a continuous driver of enterprise growth.

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To break through this interface bottleneck and bring natural, real-time voice automation directly into mission-critical corporate operations, global IT services giant DXC Technology announced a strategic partnership with audio AI leader ElevenLabs.

As part of the alliance, DXC participated in ElevenLabs’ $500 million Series D funding round which valued the voice synthesis pioneer at approximately $11 billion and committed to embedding advanced voice AI capabilities across its global enterprise operations and client solutions. For the Enterprise IT Services, Customer Experience (CX) Technology, and Voice AI Automation industry, this launch marks a permanent shift: moving conversational voice past consumer smart speakers and establishing natural, multilingual voice agents as a core operational standard for global enterprises.

Also Read: Cognizant and Anthropic Expand AI Partnership to Bridge the Enterprise Absorption Gap

Technical Performance: Embedding Voice AI into Mission-Critical Workflows

DXC-ElevenLabs collaboration aims at technical aspect of the deployment of real-time low-latency, expressive, and contextually aware audio models directly into the heart of enterprise software. DXC isn’t taking a ‘voice first’ external approach, but rather partnering with its LabX AI product incubator and AI Platforms Engine to develop solutions that will enable the coordination of audio agents in real-time over four major functional areas:

Enterprise Productivity & Digital Workforce: Introducing voice-command AI copilots and assistants to enhance the efficiency of the IT support desk, enable the support of the internal service desk, and train employees through conversational learning.

Customer Experience Transformation: Using human voices in enterprise contact centers to provide multilingual, multitalented conversations that support the customer on different languages while the customer is on the phone with the agent, and understand what he is talking about, without having to ask the customer what he wants.

Industrial-Specific Service Delivery: The collaboration enables integration of industry-specific voice workflows into DXC’s vertical offerings covering the healthcare auto insurance, and public sector industries.

Application Modernization Engine: Combining ElevenLabs’ audio synthesis models with DXC’s platform orchestration stack to build custom, AI-native voice applications for global clients.

Transforming the IT Services and Customer Experience Industry

The alignment of a major global IT systems integrator with an $11 billion voice AI specialist triggers significant shifts across the IT consulting and contact center software landscape.

The Obsolescence of Legacy IVR Systems
For decades, contact centers and internal IT helpdesks relied on static, rule-based Interactive Voice Response (IVR) systems. These traditional systems forced callers through tedious key-press menus, resulting in high call-abandonment rates and prolonged resolution times.

DXC’s integration of ElevenLabs‘ conversational voice models highlights the obsolescence of legacy phone trees. As voice AI agents gain the ability to grasp subtle intent, process context, and respond with human-like latency, the enterprise standard is shifting permanently toward fluid, conversational voice interactions.

Redefining Vendor Value from “Model Access” to “Workflow Orchestration”
Historically, enterprise technology buyers evaluated voice software primarily on voice clarity or text-to-speech accuracy.

However, in complex corporate environments, a voice model is only as effective as its integration into backend enterprise resource planning (ERP), CRM, and service management databases. By connecting ElevenLabs’ voice engine directly into DXC’s managed infrastructure and application platforms, the partnership demonstrates that the primary competitive moat in enterprise AI has moved from raw model generation to secure, enterprise-grade workflow orchestration.

Broad Operational Impact on Enterprise Businesses

For multinational corporations and public sector institutions managing large distributed workforces, deploying governed voice AI across daily operations provides immediate financial and operational advantages.

Insulating Operating Margins Against Escalating Support Costs
Managing internal IT helpdesks and external customer support centers across global teams introduces significant overhead. When human service agents spend time answering repetitive password reset requests or navigating basic account lookups, labor costs escalate while ticket backlogs grow. Automating routine service interactions with natural voice AI agents allows enterprises to handle higher support volumes without linearly increasing operational headcount.

Unlocking Organizational Efficiency Through Voice-First Workflows
Navigating complex software interfaces often creates friction for field technicians, frontline healthcare staff, and customer support representatives.

Shifting routine data entry, ticket logging, and knowledge searches to natural voice commands recovers substantial employee bandwidth. Workers can interact hands-free with backend software systems, enabling faster task execution and converting static software estates into dynamic, voice-enabled engines of enterprise productivity.

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Also Read: Palo Alto Networks to Expand Observability Platform

A consistent method underlies each implementation and the main aspects of goals and decision rights are aligned before actual development work commences in such a way that continuous change management and organizational development initiatives are incorporated from the very first day to secure a high level of team adoption. Contextualizing the strategic focus on driving sustainable financial returns through practical artificial intelligence implementation, Adam Morgan, CEO of Elevate Digital, stated: “Transformation should compound value, not recreate effort. We built this suite so every engagement starts smarter, moves faster, and leaves the client stronger. AI is not an add-on. We apply it where it creates real velocity, better decisions, and measurable hard-dollar ROI.” By combining reusable IP, hands-on support, and structured execution, Elevate Digital provides mid-market and enterprise clients with a scalable foundation for modern digital transformation.

Read More: Award-Winning Elevate Digital Launches AI-Enabled Proprietary Platform Suite Designed to Compound Transformation Value

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Also Read: NATO Awards Accenture Major Contract to Modernize Secure Digital Infrastructure

Such an extension of the product line is an outcome of the acquisition of Chronosphere in January 2026, which has helped Palo Alto Networks reach more than $300M ARR in Q3 FY26 while becoming a leader in the Gartner® Magic Quadrant for Observability Platforms for the third time in a row. Emphasizing the strategic impact of unified digital experience monitoring, Lee Klarich, Chief Product & Technology Officer of Palo Alto Networks, stated: “To truly understand how their applications are performing, organizations need to see the whole picture – from the moment a user taps or clicks to what exactly happens on the backend. By combining Palo Alto Networks’ leading Observability platform with Embrace’s innovative Real User Monitoring and the organically developed Synthetic Monitoring capabilities, we’ll deliver exactly that. And we’re taking it a step further – by linking these capabilities with Cortex AgentiX, organizations will be able to both see and automatically fix issues across their ecosystem. This is what true platformization looks like in practice.” Expected to close in the first quarter of fiscal 2027 subject to customary conditions, the acquisition solidifies Palo Alto Networks’ leadership in delivering cost-effective, platformized observability solutions.

Read More: Palo Alto Networks to Extend Leading Observability Platform with Innovative Digital Experience Monitoring

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Founded in 2003, Smartbridge helps organizations accelerate their digital transformation and modernize operations through digital innovation, AI, data and analytics, and application modernization services. The firm works with clients in the oil and gas, medtech, and restaurant industries, combining advisory and technology services to enable enterprise transformation and growth. Leveraging strategic relationships with leading technology providers, Smartbridge helps organizations connect data, improve decision-making, and accelerate business outcomes.

“Organizations today are looking to accelerate their digital and AI transformation and are searching for practical ways to translate innovation into measurable business value,” said Sri Raju, CEO of Smartbridge. “Our team focuses on helping clients modernize and build the capabilities they need to deliver exceptional experience to their customers and create financial growth for their shareholders. Through our collaboration with Andersen Consulting, we broaden and deepen our capabilities, enabling Smartbridge to deliver integrated end-to-end services for our clients, many of whom have global operations.”

Also Read: Spotfire Advances AI-Augmented Investigation and Analytics at Scale for Industrial Organizations

“Smartbridge has always been focused on helping clients solve complex operational challenges with practical, scalable solutions while driving the adoption that delivers measurable outcomes,” said Steve Senterfit, president of Smartbridge. “This collaboration deepens that ability and gives our clients access to broader capabilities as they scale.”

“Technology transformation is most effective when innovation, data, and execution are aligned,” said Mark L. Vorsatz, global chairman and CEO of Andersen. “Smartbridge brings a practical approach to helping organizations modernize critical functions, apply emerging technologies, and accelerate business performance.”

Source: BusinessWire

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The rollout addresses a critical enablement gap within corporate digital transformations. While nearly half of all global organizations struggle to provide comprehensive internal AI training, Wrike’s intuitive platform lowers the technical barrier entirely. The demand for scalable automation continues to hit record highs; enterprise adoption of Wrike AI has tripled year over year since June 2025, with users executing more than 5.5 million AI agent actions to slash process times by up to 93%.

“Over the last six months, we made a deliberate choice to solve the challenges that matter most to our customers, and the biggest one was this: powerful AI shouldn’t require an engineer to unlock and should be approachable for all users,” said Thomas Scott, CEO of Wrike. “We’re at an inflection point where every team, not just technical ones, expects to harness AI to move faster and work smarter. The Conversational AI Agent Builder is how we deliver on that promise, simply, securely, and at scale.”

Also Read: Xero Launches AI Industry Benchmarks for Small Businesses

Introducing Context-Aware Automation and Adaptive Logic

Wrike’s AI Agents—recently named a winner at the AI TechAwards—have evolved beyond static, if-then rule systems. The agents can now parse complex parent items, formula fields, and sibling tasks simultaneously, ensuring all autonomous actions remain fully grounded in absolute workspace memory.

To support advanced enterprise workflows, the core agentic engine introduces two major capabilities:

• Ordered, Contextual Action Chaining: Establishes predictable execution sequences where each step autonomously utilizes the data output generated by the preceding action.

• Smart Importance Prioritization: Evaluates active task content alongside existing project values to dynamically calculate and update urgency levels.

Backed by this deep structural understanding, Wrike AI Agents can automatically reorganize project folders, alter custom fields, route multi-tier approvals, and update external applications like Slack, Microsoft Teams, Gmail, and Outlook.

Expanding Ecosystem Connectivity and Enterprise Governance

To dissolve operational data silos, Wrike has drastically expanded its Model Context Protocol (MCP) server connections. These connections have grown 16-fold since January 2026, enabling autonomous agents to securely collaborate across independent third-party software tools both inside and outside the Wrike environment.

Simultaneously, the release introduces a suite of platform administrative controls to maintain strict data integrity. Workspace managers can leverage new AI usage dashboards to track budgets per user or per agent, deactivate obsolete workflows without data loss, and utilize Federated Space Configuration to share fields across distinct divisions without duplicating assets.

The Conversational AI Agent Builder and its accompanying architecture updates are live and accessible globally. Corporate operations leads, enterprise project managers, and digital transformation executives can explore integration blueprints, review governance structures, and evaluate workflow configurations by visiting Wrike‘s official digital platform.

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