In an attempt to bridge this gap, networking and enterprise technology leader Cisco Systems revealed a comprehensive lineup of collaborative agentic systems at its WebexOne 2026 conference.

The new features expand the Webex system around three important operational concepts: collaboration, space, and customers.

The News: Claude Integration, RoomOS 27, and the Dialog Agentic Harness

The primary technical advancement of Cisco’s announcement is shifting enterprise AI from reactive, prompt-based assistants into autonomous digital teammates that operate inside shared organizational context. Rather than treating video, messaging, hardware, and customer contact systems as distinct silos, Cisco integrates an agentic control plane across its entire hardware and software stack.

Also Read: GitLab Unveils the Governed Software Factory to Secure Autonomous AI Pipelines 

Key technical highlights and architectural capabilities introduced in the release include:

Claude Managed Agents & Model Context Protocol (MCP): Integrates Anthropic’s Claude directly into Webex spaces, enabling autonomous agents to execute multi-step workflows such as pulling analytics, drafting presentation assets, or executing cross-platform updates—using shared enterprise context. In addition, Cisco introduced support for the Model Context Protocol via OpenAI integrations (dots) to deliver personalized personal intelligence.

RoomOS 27 & Native Google Meet Interoperability: Launches RoomOS 27, the operating system powering Cisco collaboration devices. The software introduces native support for Google Meet alongside Webex, Microsoft Teams, and Zoom, while embedding edge-AI room assistants capable of interpreting natural language environment prompts (e.g., automatically adjusting HVAC or blinds) across 32 languages.

Dialog Agentic Harness for CX: Unveils Dialog, a continuous relationship harness for the Webex AI Agent platform. Dialog shifts customer support from isolated tickets to long-horizon execution allowing AI agents to autonomously manage multi-day tasks, coordinate back-end systems, and maintain persistent relationship history across channels.

Intelligent Workplace Experiences & Cisco Cloud Control: Extends spatial planning via Workplace Designer and introduces Workplace Insights to correlate Wi-Fi coverage, floor plans, and real-time room occupancy, allowing facilities teams to optimize real estate investments and troubleshoot disruption bottlenecks faster.

Transforming the Workplace Experience Technology Industry

Cisco’s release signals a major structural shift across the Workplace Experience (WX), Employee Engagement Technology, and Enterprise Collaboration sectors.

The Sunset of “Chatbot-Overlay” Collaboration Software
For the past three years, unified communications and collaboration (UC&C) vendors competed by adding basic conversational sidebars that answered basic text queries or generated meeting summaries. However, enterprise buyers found that overlay chatbots still required human employees to carry out actual cross-application execution.

Cisco’s announcement accelerates the phase-out of passive chat overlays. The workplace technology market is entering an agentic teammate era. Software platforms are no longer evaluated simply on messaging features or video quality, but on whether their AI agents can be @mentioned directly into team channels to execute complex, multi-system workflows without human intervention.

Convergence of Physical Real Estate and Digital Experience Assurance
Historically, corporate real estate management operated completely separate from IT networking and employee communications tools. Facilities leads made lease decisions based on manual badge counts or static floor plans, while IT monitored network uptime in isolated dashboards.

By linking RoomOS 27 sensor data, Cisco Cloud Control telemetry, and physical floor plans into a single intelligence layer, Cisco establishes data-unified spatial management as an industry baseline. Workplace technology suites must now provide real-time, sensor-driven visibility into physical room usage, ambient controls, and network assurance within the same platform used for daily employee messaging.

Broad Operational Impact on Enterprise Businesses Operating in this Sector

There are several clear strategic benefits for CIOs, CHROs, and Heads of Corporate Real Estate that arise from using a collaborative agent architecture in an integrated form:

Elimination of Integration Costs of Hybrid Stacks: With native hardware support of multiple platforms (Webex, Teams, Zoom, and Google Meet), there is no longer any hardware lock-in and simplification of IT device management across global office footprints.

Real Estate Capital Expenditure and Leasing Optimizations: Access to real-time occupancy and room usage metrics will enable facility managers to resize physical office footprints and repurpose office spaces according to real-life employee activity.

Improved First Contact Resolution Rate for Customer Operations: Use of long-horizon agents in Dialog allows resolving customer problems over the course of days or even weeks without missing any context.

Enterprises-Level Governance for Autonomous Agents: Using Cisco AI Defense and Splunk observability in the process of agent execution will guarantee strict adherence of autonomous digital assistants to security and compliance policies.

Using physical office space monitoring, agentic workflow automation, and persistent customer relations tracking, Cisco helps enterprises map their path to building responsive AI-enabled workplaces.

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To plug this gap, the leading provider of IT services and consultancy, Cognizant, created a new division called Cognizant Activate. Built exclusively for mid-size companies, Cognizant Activate offers pre-packaged AI solutions, cloud modernization services, cybersecurity and managed services suited to the pace and needs of growing firms.

Using a single engagement manager responsible from the very first point of contact to the delivery of services, Cognizant Activate simplifies AI implementation for enterprises.

The News: Pre-Configured Solution Kits, Single-Lead Delivery, and Vertical Integration

The technical and operational foundation of Cognizant Activate centers on making enterprise-grade AI Builder capabilities accessible and executable for mid-market budgets. Rather than requiring clients to orchestrate multiple vendors across data, security, and cloud ecosystems, the business unit consolidates services into unified engagement structures.

Also Read: Cloudflare Launches Basin to Democratize Enterprise Data Analytics

Key architectural capabilities and strategic highlights of the launch include:

Targeted $1B–$5B Market Focus: Specifically tailored to address the unique scaling friction, legacy technical debt, and resource constraints of mid-sized enterprise clients.

Pre-Configured Solution Kits: Delivers modular, field-tested toolkits across data and AI engineering, cybersecurity, cloud modernization, enterprise applications, and managed services.

Single Engagement Lead Model: Assigns one point of contact accountable for the entire lifecycle from initial strategy through long-term execution—removing vendor handoff delays.

Focused Industry Sectors: Initial rollout prioritizes high-impact verticals, including financial services, healthcare, manufacturing, and retail/consumer packaged goods (CPG).

Transforming the IT Services, Systems Integration, and Mid-Market AI Industry

Cognizant’s launch of Activate signals a major structural pivot across the IT Services, Systems Integration, and Enterprise AI Technology landscape.

The Phase-Out of “One-Size-Fits-All” Enterprise IT Delivery
Historically, global IT integrators applied identical delivery playbooks to all clients offering massive, multi-year consulting engagements regardless of company size. For mid-sized enterprises, these engagements brought excessive administrative overhead and slow time-to-value.

Cognizant Activate accelerates the transition toward right-sized IT delivery. The systems integration industry is entering an agile enterprise AI execution era. Technology vendors will no longer be evaluated merely on the breadth of their global developer network, but on whether they can deliver pre-packaged, domain-specific AI platforms that integrate within months rather than years.

Democratizing Full-Stack AI for the Mid-Market
With fundamental AI models now moving into agentic execution, mid-market businesses are at risk of being left behind if they do not acquire the ability to rapidly move into advanced execution by developing the capability of secure data pipelines, cloud infrastructure and runtime guard rails.

As Cognizant bundles AI engineering with cloud modernization and security into modular kits, it makes the full-stack agentic enablement a standard for mid-market. IT service providers have to deliver integrated AI infrastructure to connect unrefined algorithmic models with business models.

Broad Operational Impact on Enterprise Businesses Operating in this Sector

For Chief Executive Officers (CEOs), Chief Information Officers (CIOs), and operations executives at mid-size companies, choosing right-sized AI transformation engines offers several tangible business and operational benefits:

Increased Speed to Value on AI Deployments: Leveraging solution kits that are ready to be deployed reduces implementation time from years to months, making sure that new companies can compete with their bigger counterparts.

Decreased Complexity Associated with Vendors: Cooperation with one responsible engagement manager reduces vendor management issues as there is no need to deal with cloud, data, and security vendors separately.

Opportunity for Modernizing Legacy Technology Stacks: By deploying AI technology alongside cloud and applications modernization, mid-size companies have an opportunity to modernize legacy technology stack in a safe manner without interrupting the business processes.

Predictable TCO and Scalability of the Solution: With the help of modular solution kits and managed services, mid-market companies have predictable cost structures and can scale their AI infrastructure smoothly.

Cognizant Activate offers mid-market companies a comprehensive solution that leverages enterprise-level AI technologies adjusted for the scale and speed of emerging companies.

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The extended ecosystem brings about other possibilities for connectivity through APIs, MCP, and data sharing technologies. Additionally, integration partners will also have access to the Orion Connect and Redtail CRM APIs, which allow them to interact with portfolios and client information using an extended technology ecosystem.

“Orion has always believed that when great technology connects, advisors can better serve their clients,” said Reed Colley, President of Orion Advisor Technology. “We opened our API to the industry in 2015, when most platforms still kept their doors closed, and we were among the first to offer data sharing in 2022. AI makes that openness matter more than ever, and the next phase of our flexible ecosystem opens Orion even further. Providers can now build across both Orion Connect and Redtail CRM, bringing both portfolio and client relationship data together, and advisors get more choice in how they build the technology stacks that fit their firms.”

Also Read: Digital.ai and knowmad mood Deepen Strategic AI Partnership

The company currently works with more than 500 integration providers, giving advisory firms access to a wide range of technologies, data sources, and workflows. Under the expanded program, participating providers will receive MCP connectivity, continued support for Redshift and Snowflake, marketplace visibility, integration certification, an API sandbox, defined rate limits, and published support commitments.

Orion is also extending its investment in AI capabilities, including more granular data access, the Denali Gateway Portal, AI services, agents, and workflow orchestration. The company recently introduced its first MCP connector with Claude, allowing advisors to securely connect AI tools with Orion data.

“We recently launched our first MCP connector with Claude, giving advisors a secure way to connect AI to Orion, and we’re expanding MCP access to our integration providers in the coming weeks,” Colley said. “It’s part of Orion’s 2026 R&D investment, the largest in our history, and it’s focused squarely on AI. From more granular data access and the Denali Gateway Portal to AI services, agents, and orchestration that move work across systems, we’re building the foundation for advisors and our providers to put AI to work securely and responsibly.”

The expanded ecosystem is intended to support greater innovation while ensuring firms retain control over their data through certified integrations, defined access standards, and stronger governance measures.

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Bringing over 35 years of industry experience, Singh has played a central role in scaling several major enterprise platforms. He previously served as President of Palo Alto Networks, where he helped drive significant expansion in market value and new security product lines. Prior to that, he spent nearly a decade at Google as a co-founder and President of Google Cloud, following a 20-year career at Oracle spanning engineering, product, and sales leadership.

Singh takes the helm as Mountain View, California-based Omnissa expands its platform across unified endpoint management, virtual applications, digital employee experience, and endpoint security. Serving over 15,000 enterprise customers, the company recently introduced AI-first capabilities aimed at securing autonomous workflows and device fleets.

Also Read: TP Appoints Benoit Gabelle as Group Chief Financial Officer

“The shift to agentic AI is transforming how work gets done, and the endpoint is at the center of that transformation,” said Amit Singh, CEO of Omnissa. “Omnissa already has the agent on the device, the credentials, the traffic, the telemetry and the remediation; our job now is to extend all of it to the agent and make it safe for CIOs and CISOs to say yes.”

The executive transition follows Omnissa’s standalone growth as a portfolio company of KKR. Singh’s leadership will focus on integrating AI agent management and security capabilities into Omnissa’s core digital work platform, enabling enterprise IT and security teams to safely deploy autonomous software agents across managed devices.

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Addressing this systemic bottleneck, global design, engineering, and consultancy leader Arcadis announced an expanded collaboration with software giant Autodesk. The partnership aims to accelerate the deployment of artificial intelligence, connected data, and digital workflows across the built and natural environment anchoring AI directly within the software environments where engineering decisions are made.

By connecting Arcadis’ proprietary Model Context Protocol (MCP) framework directly with Autodesk’s Design and Make platform and Autodesk Assistant, the partnership establishes a continuous execution loop. This allows engineering teams to ground generative AI outputs in verified project history, geometric intent, and client-specific standards.

The News: Grounding AI Assistant Capabilities in Proprietary Domain Data

The primary advancement of the Arcadis-Autodesk partnership is moving enterprise AI past generic text summaries toward context-aware, geometry-fluent project intelligence. Rather than relying on ungrounded public AI models, the collaboration brings Arcadis’ internal engineering standards, client requirements, and historical asset knowledge directly into Autodesk Assistant.

Also Read: IBM Expands Digital Banking Infrastructure with Swift Shared Ledger Integration

Key technological highlights and strategic capabilities delivered by the collaboration include:

Model Context Protocol (MCP) Integration: Connects Arcadis’ custom AI tools natively with Autodesk Assistant. This allows Arcadis to apply its proprietary rules, design guidance, and engineering standards inside active workflows while maintaining complete IP ownership.

Drastic Quality Control Acceleration: Automates routine design checks and compliance reviews. Early deployment examples demonstrate that automated workflows can reduce design quality review cycles from five days down to approximately half a day.

“See Through Walls” Circularity Project: Employs sensor data, AI, and predictive modeling to assess the hidden conditions of existing structures, advancing material reuse, decarbonization, and building retrofits.

Human-in-the-Loop Verification: Keeps licensed engineers and design professionals at the center of the decision-making process. AI handles repetitive data collation and initial modeling, while human experts verify and sign off on technical outputs.

Transforming the Architecture, Engineering, and Construction (AEC) & Infrastructure Technology Industry

The expanded tie-up between Arcadis and Autodesk signals a major structural shift across the Architecture, Engineering, and Construction (AEC) & Infrastructure Technology sector.

The Sunset of Isolated “Point-Solution” Software Tools
For years, AEC firms operated in isolated software silos architects used one platform, structural engineers another, and general contractors a third. Moving data between these platforms required manual file conversions that frequently introduced design errors and missed details.

The Arcadis-Autodesk announcement accelerates the phase-out of disconnected point tools. The AEC market is entering a connected platform execution era, where engineering firms are no longer evaluated solely on drafting speed, but on whether their platform infrastructure can continuously sync design changes, cost estimates, and risk parameters across the entire asset lifecycle.

Transitioning from Experimental AI Pilots to Production Workflows
Until recently, AI in construction and design was largely confined to experimental pilot projects such as basic generative floor plans or automated image rendering. However, engineering leads have demanded solutions that handle complex, multi-variable engineering constraints.

By embedding AI natively into mainstream software like Autodesk, this partnership establishes workflow-integrated AI as an industry standard. Enterprise engineering providers must now prove that their AI models understand real-world physics, municipal building codes, and historical project data rather than simply generating speculative visual concepts.

Broad Operational Impact on Enterprise Businesses Operating in the AEC Sector

For Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), and Project Delivery Directors operating in the construction, infrastructure, and real estate value chain, integration of AI and data-driven delivery model will have several benefits as outlined below:

Reduced Project Cycle Times: Fast-tracked quality assurance, compliance, and design review times can be cut from days to mere hours, which enables organizations to deliver infrastructure and commercial projects much quicker than before.

Risk Mitigation: Validation of AI outputs in real-time by matching them with actual project data and constraints mitigates rework and design flaws that can occur as a result of unanticipated change orders.

Leveraged Senior Engineer Capacity: Automation of repetitive geometric analysis and data entry tasks allows engineers to focus on complex engineering problems, customer relations and high-impact innovation.

Consistent Quality Standards: Integration of institutional knowledge through cloud-based AI workflows guarantees consistent engineering quality across multiple offices around the world and multiple regional projects.

Through transition of the Architecture, Engineering & Construction industry from a laborious and reactive problem solving process to proactive data-driven delivery model, the partnership between Arcadis and Autodesk presents a great example of how physical infrastructure can be built efficiently.

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Gabelle joined TP in 2022 as Group Deputy Chief Financial Officer, leading financial reporting, corporate accounting, tax, and finance transformation. Over the past four years, he played a central role in several major financial milestones for the company, including the deployment of unified enterprise financial systems, the operational structuring and integration of Majorel, and recent group refinancing and efficiency programs.

Before joining TP, Gabelle spent 17 years in international advisory across France and Hong Kong with KPMG and EY, where he served as a Partner specializing in international taxation and transfer pricing.

Also Read: David Walsh Appointed Chief Marketing Officer at pay.com.au 

In his permanent role as Group CFO, Gabelle’s primary focus will involve modernizing the finance function through automation and AI, providing strategic support to global operations, optimizing liquidity and balance-sheet structures, and ensuring the group’s ongoing digital transformation drives long-term shareholder value.

“Benoit’s confirmation as Group CFO is a well-deserved recognition of the strong leadership he has demonstrated at TP,” said Jorge Amar, CEO of TP. “Since stepping into the role on an interim basis, he has shown the strategic clarity and steady leadership our finance function needs as we advance TP’s transformation and integrate AI within our processes.”

The permanent appointment underscores TP’s focus on maintaining financial rigor, integrating advanced technology into enterprise operations, and stabilizing senior executive leadership following its recent leadership transitions and large-scale M&A integrations.

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Enterprises across every industry are working to modernize networks, scale automation, and prepare infrastructure for AI, but these initiatives succeed only when they are built on accurate, authoritative infrastructure data. NetBox Labs serves as not only the crucial system of record, but also as a platform that continuously discovers, models, governs and operationalizes infrastructure data across the organization. Through this partnership, Presidio applies its consulting, implementation, integration, automation, and managed services expertise to deliver transformation initiatives built on that foundation, helping customers operationalize the NetBox Labs platform in complex environments.

“NetBox Labs delivers a true platform for infrastructure data that aligns directly with how Presidio helps enterprises modernize and scale their networks,” said Brian Wisler, Vice President, Presidio Modern Networks. “By incorporating NetBox Labs into our Networking solutions, we give customers a consistent, enterprise-grade foundation for automation and modernization. This helps them move beyond point solutions toward a platform-driven approach, even in complex environments.”

Also Read: IDS’s Nion 3D ToF camera goes into series production

NetBox Labs chose to partner with Presidio for its proven ability to execute large-scale business transformation through secured technology modernization in North America, Europe and Asia Pacific . With more than 6,800 customers, Presidio brings deep expertise across generative AI, public cloud,  application development, data analytics, security, networking and modern data center infrastructure making it well suited to help organizations adopt the NetBox Labs platform as a strategic foundation for infrastructure operations and automation. The partnership has already led to engagements with one of North America’s largest banks, a major U.S. metropolitan court system, a leading U.S. smart home and security technology company, and a top global media services provider, among others.

The partnership is anchored in the NetBox Labs platform, which is available as a SaaS or self-managed offering. The platform provides a unified, enterprise-grade foundation for infrastructure modeling, automation, and operational governance. The recently launched infrastructure intelligence platform lets teams model their intent, see what’s deployed and how it’s changing, act through AI-accelerated automation, and govern every change with guardrails for humans and AI agents spanning discovery, assurance, analytics, and open APIs that support integration across complex customer environments.

“Presidio’s leadership in enterprise networking and infrastructure modernization makes them an ideal partner as we expand NetBox Labs as a platform,” said Bill Lapcevic, Chief Revenue Officer at NetBox Labs. “Together, we are positioning the NetBox Labs platform as a foundational layer within larger, outcome-driven enterprise initiatives, helping customers standardize infrastructure data, scale automation, and treat NetBox as a strategic platform investment rather than a point solution.”

The partnership is initially focused on customers across North America, aligned with Presidio’s established delivery capabilities, with opportunities to extend the collaboration into additional geographies as Presidio expands its global presence, including investments in Europe. For customers, the combination of NetBox Labs and Presidio establishes a trusted infrastructure data foundation that accelerates automation, improves operational visibility, reduces risk, and supports large-scale modernization initiatives.

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Also Read: Tech Mahindra Launches AWS Agentic Process Transformation CoE 

“Now global brands have a single, unified engine to power intelligent customer interactions scaling SoundHound’s reach to serve every enterprise, on every channel, at an unprecedented level.” The combined company is also targeting more than $500 million in future revenue from its existing customer base through cross-selling opportunities and expanded services. As part of the transaction, SoundHound has retired LivePerson’s outstanding debt, creating a debt-free balance sheet to support growth and continued product development. John Collins, who previously held senior leadership roles at LivePerson, has been appointed CFO of the combined company. “Our shared focus is clear: accelerate innovation and deliver immediate impact for our customers,” said John Sabino, CEO of LivePerson. “Together, we offer an unparalleled value proposition for enterprises seeking to modernize their contact centers and digital touchpoints with a trusted, enterprise-grade AI partner.”

Read More: SoundHound AI Completes Acquisition of LivePerson, Creating a World-Leading Omnichannel Conversational AI Powerhouse

The post SoundHound AI Completes Acquisition of LivePerson appeared first on ITDigest.

Also Read: Elevate Digital Launches AI-Enabled Proprietary Platform to Accelerate Enterprise Transformation 

“With the AWS APT CoE, we are bringing together Tech Mahindra BPS’ process expertise and AWS-native AI capabilities to help customers operationalize Agentic AI with stronger governance, faster execution, and measurable business impact.” The CoE has already demonstrated its potential through Collections Guru, an agentic AI-powered collections solution jointly developed by Tech Mahindra and AWS and deployed by UK-based financial services outsourcing provider Target Group. Built on AWS cloud and AI infrastructure, the solution delivered approximately 40% efficiency gains by autonomously optimizing collection strategies. Katie Pender, Chief Operating Officer, Target Group, said, “Since introducing the Collections Guru agent, we’re seeing encouraging early results, including anticipated efficiency gains of around 40% in the areas where it’s been rolled out. It’s been a valuable step in how we’re modernising our operations.” The launch strengthens Tech Mahindra’s AWS-focused AI services strategy and expands opportunities for enterprises seeking production-ready agentic AI transformation.

Read More: Tech Mahindra Launches AWS Agentic Process Transformation CoE to Redefine AI-Led Business Operations

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“Ian is the kind of product leader who can turn a rapidly changing market into a clear and compelling product vision,” said Kevin Weiss, Chief Executive Officer at Sectigo. “He has an impressive track record of building and scaling security and identity products through periods of significant growth and complexity, while translating major technology shifts into solutions customers can adopt and trust. Ian’s leadership will strengthen our ability to deliver on our promise of Simplicity at Scale and accelerate the next phase of innovation across our CLM platform.”

As Chief Product Officer, Hassard will lead Sectigo’s product vision and strategy, working closely with engineering and go-to-market teams to guide the continued evolution of Sectigo Certificate Manager. His focus will be on translating changing customer and market requirements into platform capabilities that simplify certificate operations, reduce risk and prepare organizations for the next generation of digital trust.

Also Read: Conduent Appoints Anna Novoseletsky as Executive Vice President, General Counsel and Secretary

“Certificate Lifecycle Management is becoming foundational to how organizations secure digital operations at scale,” said Hassard. “Sectigo has the market position, technology and depth of expertise to define where this category goes next. I’m excited to build on that strength and advance a platform that makes it easier for organizations to manage growing certificate complexity, reduce risk and prepare for what comes next.”

Hassard brings more than two decades of experience building and scaling products across identity, cybersecurity and networking. Before joining Sectigo, he served as Vice President of Product Management at Okta, where he led product strategy across the Auth0 and Okta Customer Identity portfolio. Earlier, he co-founded RootSecure, a cybersecurity company acquired by Arctic Wolf, where he went on to hold product leadership roles helping drive the company’s growth. An inventor with multiple patents spanning identity, security and emerging technologies, Hassard has built his career translating complex technological shifts into practical products that solve real-world security challenges at scale.

About Sectigo

Sectigo is a leading provider of Certificate Lifecycle Management (CLM), helping organizations secure human and machine identities while reducing the hidden risks of modern digital trust. As certificate volumes grow and lifespans shrink, unmanaged certificates are becoming a source of outages, compliance exposure, and operational disruption. Sectigo uses orchestrated automation to deliver Simplicity at Scale through its cloud‑native CLM platform, bringing visibility, control, and lifecycle management together across complex environments. With more than 700,000 customers, including 65% of the Fortune 500, Sectigo is one of the largest and longest‑standing certificate authorities, with over 20 years of delivering unparalleled digital trust.

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