Cyara has appointed Ben Corser as General Manager and Senior Vice President of Go-to-Market for Asia-Pacific (APAC), adding dedicated regional leadership as enterprises increasingly deploy AI agents and automated customer experiences.

The appointment strengthens Cyara's focus on Australia and the wider APAC market, where the customer experience technology company says it already serves major organizations, including two of Australia's Big Four banks, two of its three national mobile network operators and the country's largest supermarket retailer.

Corser joins Cyara with experience across cloud, enterprise software and go-to-market operations in Asia-Pacific. Most recently with NiCE, he has also held leadership positions at Matterport, SAP, EMC, Nokia and Microsoft. His background includes developing partner ecosystems and leading growth initiatives for enterprise technology businesses.

The leadership change comes as companies move from experimenting with generative and agentic AI toward deploying AI in customer-facing environments. That transition creates a different set of requirements for marketing and customer experience teams, particularly around whether automated systems deliver consistent experiences and comply with organizational expectations.

Cyara describes itself as an AI trust company for customer experience. Its platform is designed to help organizations test and monitor AI agents and customer journeys before and after deployment.

At the company's Agentic CX Summit in Melbourne on September 8, CEO Sushil Kumar is expected to address the role of trust in moving AI agents from pilots into production. Chief Product Officer Amitha Pulijala will demonstrate capabilities within Cyara's Agentic Platform, including testing AI-agent behavior and end-to-end customer journeys before deployment.

The company will also showcase Cyara AI Trust Observability, which is positioned around continuously evaluating whether AI agents behave as intended after they go live. This reflects a broader shift from measuring whether automated systems are operational toward assessing the quality and reliability of the customer interactions they generate.

Market Landscape

AI is increasingly becoming part of customer-facing workflows, including conversational experiences, service interactions and automated journeys. For marketing and CX leaders, this expands the scope of customer experience management beyond traditional digital channels.

AI agents can introduce variability because their responses and actions may change according to context. As a result, organizations deploying these systems need mechanisms to test customer journeys before launch and monitor behavior after deployment.

The challenge is particularly relevant for enterprises operating across multiple markets, where customer expectations, regulatory requirements and technology environments can vary.

Strategic Outlook

Corser's appointment gives Cyara a dedicated executive responsible for translating its AI trust and customer experience proposition across APAC. His regional go-to-market background could also support relationships with enterprise customers and technology partners.

Cyara's continued emphasis on AI-agent testing, observability, quality and compliance indicates that the company is positioning trust as a layer alongside AI capability. The competitive opportunity will depend on how effectively enterprises integrate these controls into existing CX and AI operations.

Top Insights

• Cyara is strengthening its APAC go-to-market leadership with Ben Corser's appointment.
• AI-agent deployment is creating new customer experience assurance requirements.
• Pre-deployment testing can help enterprises evaluate automated customer journeys.
• AI observability extends oversight beyond basic system availability.
• Regional leadership could help Cyara expand enterprise and partner relationships across APAC.

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Video Generator has launched a free AI video generator aimed at helping creators, marketers, educators and businesses produce digital video content with less reliance on conventional production workflows.

The launch reflects a broader shift in marketing technology toward AI-assisted content production. As video becomes an increasingly important format for social media, digital campaigns, education and product communication, businesses are evaluating tools that can reduce the time and technical complexity involved in developing visual content.

Traditional video production can require scripting, filming, editing, visual design and specialized software skills. AI video generation introduces an alternative workflow in which users can provide concepts or written instructions and use artificial intelligence to assist with elements of the production process.

Video Generator's platform is positioned around this text-to-video and automated production model. The company says its free AI video generator can help users transform ideas into visual sequences based on themes, formats and communication objectives. The approach is intended to allow users to focus more heavily on messaging and creative direction while automated systems handle parts of video development.

For marketing teams, the technology could have particular relevance for organizations managing high volumes of digital content. Social media posts, promotional videos, educational material, product demonstrations and other short-form visual assets can require continuous production. AI-assisted workflows potentially provide marketers with another method for developing variations and testing creative concepts without applying traditional production resources to every asset.

Market Landscape

AI-generated video is becoming part of the wider generative AI market, alongside automated image, text, audio and presentation creation. The technology is changing the economics and workflow of content development by moving some production activities from specialized teams and software toward prompt-driven interfaces.

For marketers, however, faster generation does not eliminate the need for creative strategy. Brand consistency, factual accuracy, copyright considerations, visual quality and human review remain important when AI-generated assets are used in customer-facing campaigns.

The availability of free tools also lowers the barrier to experimentation. Smaller businesses, independent creators and organizations without dedicated video production teams can explore AI-assisted workflows before committing to larger production investments.

Strategic Outlook

The launch places accessibility at the center of Video Generator's proposition. A free AI video generator can help broaden adoption by allowing users with different levels of technical expertise to experiment with automated video production.

The competitive landscape is likely to increasingly differentiate platforms through output quality, editing controls, customization, workflow integration and the ability to maintain brand requirements at scale. For marketing organizations, the practical value will depend less on simply generating videos and more on how effectively these tools fit into existing content operations.

Top Insights

• AI video generation is moving content production toward automated, prompt-driven workflows.
• Free AI tools can lower barriers to entry for smaller marketing teams and creators.
• Marketing applications include social content, product demonstrations and promotional materials.
• Human oversight remains important for brand consistency, accuracy and creative quality.
• Competitive differentiation will increasingly depend on workflow flexibility and output quality.

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As global consumer brands expand across markets and increasingly complex delivery networks, the customer experience is becoming harder to manage after checkout. At IFA 2026 in Berlin, U.S.-based post-purchase protection platform XCOTTON is highlighting how shipping protection, product coverage and claims management can become part of a broader customer experience strategy.

The company is engaging with brands, retailers and technology companies around ways to reduce friction caused by lost, damaged or delayed orders and provide customers with clearer resolution options when problems occur.

For e-commerce businesses, the post-purchase journey can have a direct impact on how customers perceive the brand. Although a carrier may be responsible for a delivery failure, customers generally interact with the merchant when something goes wrong. That can translate into additional customer-service workload, replacement costs, refunds and operational complexity.

XCOTTON offers shipping protection, product protection, extended warranties and insurance-backed coverage through a centralized post-purchase platform. The company says it has more than 1,000 five-star ratings on Trustpilot and strong reviews from Shopify merchants, although these ratings are customer-review indicators rather than independent measures of business performance.

The platform's proposition extends beyond delivery protection. For higher-value consumer products, extended warranty and product protection can support customers after the standard purchase and warranty experience. XCOTTON also provides claims and resolution capabilities intended to give merchants a single environment for managing post-purchase protection activity.

International commerce adds another layer of complexity. According to the company, its licensed insurance intermediary in France enables it to provide compliant insurance solutions to merchants and consumers across the European Union. This could be particularly relevant for consumer brands entering multiple markets, where insurance requirements and customer expectations can vary by region.

Market Landscape

The growing focus on post-purchase experience reflects a broader shift in e-commerce from optimizing only acquisition and checkout toward managing the complete customer lifecycle. Delivery visibility, customer support, returns, warranties and issue resolution can all influence whether a transaction becomes a longer-term customer relationship.

For brands selling connected devices, mobility products, smart-home equipment and other higher-value goods, the stakes can be greater because customers may need support well beyond the delivery date.

Strategic Outlook

XCOTTON's IFA 2026 presence positions post-purchase protection as a customer-experience capability rather than simply an insurance add-on. The competitive opportunity will depend on how effectively platforms integrate protection, claims and customer support without adding friction to checkout or ownership.

The company is using consumer categories represented at IFA—including modular furniture, personal mobility and yard robotics—to illustrate the range of products where post-purchase protection can become part of the ownership experience.

Top Insights

• Post-purchase service is becoming an important component of e-commerce customer experience.
• Shipping issues can create both customer friction and additional merchant support costs.
• Product protection and extended warranties can extend the customer relationship beyond checkout.
• International expansion increases the importance of market-specific insurance compliance.
• Centralized claims management can help merchants simplify post-purchase resolution workflows.

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Gargle, a dental marketing agency, has expanded its search engine optimization offering to include Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), as changes in search behavior push dental practices to optimize beyond conventional search rankings.

The expanded strategy is designed to help dental practices become more visible across traditional search engines, AI-powered search experiences, voice assistants and generative AI platforms. The move reflects a wider evolution in digital discovery, where consumers increasingly use conversational interfaces to ask detailed questions rather than relying exclusively on keyword-based searches.

For dental practices, those questions can span symptoms, procedures, treatment costs, recovery and available options. Gargle's approach is intended to structure website content so search engines and AI systems can more easily understand and potentially reference information when patients seek answers.

The distinction between traditional SEO and newer search optimization approaches is becoming increasingly important for marketers. Conventional SEO generally focuses on improving a website's relevance and visibility for specific search queries. AEO and GEO extend that objective toward answer-oriented and generative search environments, where the goal is not simply to rank a webpage but to make its information useful and understandable to systems generating responses.

Market Landscape

The expansion comes as search becomes more fragmented across conventional results, AI interfaces, voice search and local discovery. For healthcare-related businesses such as dental practices, this creates additional opportunities—and challenges—for reaching consumers during research and provider-selection stages.

Gargle is focusing its strategy on high-intent patient searches, particularly questions that occur when someone is evaluating treatment or deciding where to receive care. The company says its approach emphasizes clear, useful and locally relevant content.

The strategy is designed to support visibility across Google search results, Google's AI-powered search experiences, featured snippets and answer boxes, voice assistants, generative AI search platforms, and local and map-based searches.

Strategic Outlook

The development signals a shift in how agencies may define search optimization. As AI-generated answers become another layer between users and websites, marketers may need to consider how content is structured, contextualized and connected to specific user questions.

For dental practices, the commercial value of this shift depends on whether improved visibility ultimately contributes to patient inquiries and provider selection. AEO and GEO therefore represent an extension of search strategy rather than a replacement for traditional SEO.

Gargle has integrated the new capabilities directly into its existing SEO offering. Existing clients do not need to adopt separate software or add another marketing vendor, according to the company.

Top Insights

• Gargle has added AEO and GEO to its dental SEO offering.
• The strategy targets traditional, AI-powered and voice-based search.
• Content focuses on high-intent patient questions around dental care.
• Local relevance remains important for provider discovery.
• AEO and GEO are integrated into Gargle's existing SEO service.

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MoxiWorks, an AI-powered real estate marketing platform, has opened a new office in Pune, India, as the company expands its technical and operational footprint outside North America. The company has appointed Jyotsna Kher as Managing Director and VP of India Operations to lead the new operation.

The Pune expansion is positioned as an investment in MoxiWorks' internal technical capabilities rather than an outsourcing initiative. The company said the office is fully owned and operated by MoxiWorks and will have its own leadership team, adding technical talent to support development across its AI platform.

Kher joins MoxiWorks after serving as Vice President of Human Resources at Onit India, where she helped scale the company's India operations. At MoxiWorks, her remit includes leading the Pune operation as the company builds its India-based organization.

The move comes as real estate technology companies increasingly incorporate AI into marketing and operational software. MoxiWorks says its India operation will provide access to technical talent and infrastructure while increasing its capacity to develop products and support real estate professionals.

The company remains headquartered in North America, while its existing teams in North America and Australia continue to provide market expertise. According to CEO Eric Elfman, the India operation is intended to combine that market knowledge with Pune's technical talent base.

Market Landscape

India has become an important location for technology organizations establishing global capability centers and expanding engineering capacity. For software companies, these operations can provide access to technical and product talent while creating dedicated teams that contribute directly to core product development.

For MoxiWorks, the Pune office is closely connected to its AI strategy. The company says the operation will support continued innovation across its AI platform, including RISE, its flagship product. Rather than establishing an external delivery center, MoxiWorks is building an internal organization designed to become part of its broader product and technology structure.

The development also reflects the increasing convergence between real estate technology and marketing technology. Real estate professionals and affiliated agents rely on digital platforms to manage marketing activities, customer relationships and business growth, creating demand for software that can incorporate AI into these workflows.

Strategic Outlook

MoxiWorks' India expansion could give the company additional capacity as AI becomes more deeply embedded in real estate software. The strategic value will ultimately depend on how effectively the Pune team contributes to product development, platform capabilities and customer experience.

The decision to retain ownership and operational control also gives MoxiWorks direct oversight of the technical organization. With Kher responsible for the India operation, the company is establishing dedicated leadership as it scales its presence in the country.

Top Insights

• MoxiWorks has opened a fully owned Pune, India operation.
• Jyotsna Kher has been appointed Managing Director and VP of India Operations.
• The office is designed to expand internal technical capacity, not operate as an outsourcing center.
• Pune will support development across MoxiWorks' AI platform and RISE product.
• The expansion strengthens MoxiWorks' global technology footprint.

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Agile & Co has launched Core, a proprietary AI-powered marketing platform designed specifically for local service businesses, including contractors, clinics, auto shops and med spas. The platform combines AI-driven marketing workflows with human oversight, targeting businesses that need advertising, SEO and website activity tied more directly to booked jobs.

The full-service marketing agency says Core operates on an “80% AI, 20% human” model. Rather than treating each campaign as a standalone project, the platform retains operational and marketing context—including services, pricing and previous campaign performance—and applies that information to subsequent work.

That approach addresses a common challenge for smaller service businesses: marketing activity can become fragmented when campaigns, agencies and marketing specialists change over time. Core is designed to maintain a persistent understanding of the business so teams do not have to repeatedly provide the same information when launching new initiatives.

The platform also incorporates performance data into its ongoing marketing process. Agile & Co says Core analyzes lead and conversion information from new campaigns and uses those results to adjust strategy. The objective is to create a feedback loop in which campaign outcomes influence future advertising, SEO and website decisions.

Market Landscape

AI is increasingly being incorporated into marketing workflows, but much of the market remains focused on individual tasks such as content generation, ad optimization or automated reporting. Core takes a more integrated approach by connecting business information, campaign history and performance data across multiple marketing functions.

This positioning is particularly relevant to local service businesses, where the commercial objective often extends beyond generating website traffic or advertising clicks. Leads, appointments and booked jobs provide more direct indicators of marketing effectiveness.

Agile & Co says Core works across SEO, Google Ads, Meta Ads and website design. It also uses MCP architecture, retrieval-augmented generation (RAG) and vector databases, according to the company, rather than relying solely on off-the-shelf AI tools.

Strategic Outlook

Core's differentiation will depend on whether persistent business context and closed-loop performance data can produce more useful marketing decisions than conventional point solutions. For local businesses, another important factor is attribution: knowing which channels generate actual leads and booked jobs can help shift marketing decisions away from surface-level engagement metrics.

Agile & Co says its reporting tracks leads back to their source and optimizes campaigns toward booked jobs rather than clicks. Human strategists also review campaigns and approve final copy before publication, creating a hybrid operating model rather than fully autonomous marketing.

The platform is offered without long-term client contracts, according to Agile & Co.

Top Insights

• Core is designed specifically for local service businesses.
• The platform combines AI workflows with human campaign review.
• Business data and historical campaign performance remain available across new campaigns.
• Core spans SEO, Google Ads, Meta Ads and website design.
• Attribution focuses on leads and booked jobs rather than clicks alone.

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Position² has introduced Arena, a proprietary technology platform designed to connect marketing intelligence, human expertise and AI-driven execution within a single workspace. The launch reflects a broader movement in enterprise marketing technology toward systems that combine analytics, workflow orchestration and institutional knowledge rather than operating as isolated point solutions.

Position² describes Arena as the technology foundation of its AI-Native Growth System for enterprise brands and go-to-market leaders. The platform is built around more than two decades of marketing expertise and connects activities spanning brand positioning, audience intelligence, demand generation, campaign execution and client delivery.

The platform's architecture centers on three layers: a Growth Intelligence Layer, Position² Experts and AI Agents. The intelligence layer analyzes performance and supports forecasting and recommendations, while the orchestration layer coordinates Smart Marketing Agents across marketing disciplines. A workflow layer manages project delivery through task hierarchies, dependencies and Gantt and list views.

Arena also connects with marketing and business systems already used by enterprise teams. Position² says its technology integrates with Google Ads, GA4, Meta, LinkedIn, HubSpot, Salesforce, Shopify, Slack, Gmail and Zoom, alongside more than 300 data sources and 50 business tools. These connections are intended to allow intelligence to be considered across multiple channels rather than within individual platforms.

Market Landscape

Enterprise marketing teams increasingly operate across large technology stacks covering advertising, analytics, CRM, content, SEO, project management and customer engagement. While these systems generate substantial amounts of data, disconnected workflows can make it difficult to transfer strategic context from one campaign or team to another.

Arena's approach targets that fragmentation by combining predictive analytics, AI agents and project management with what Position² calls shared corporate memory. The concept moves beyond conventional marketing automation by attempting to preserve brand decisions, campaign outcomes, market intelligence and operational context for future work.

Strategic Outlook

The more significant competitive question for AI-native marketing platforms may be how effectively they combine automation with proprietary organizational knowledge. Generic AI tools can assist with individual tasks, but enterprise marketers also need systems that understand brand requirements, historical performance and established workflows.

Position² says Arena captures this institutional knowledge as teams work, allowing new team members and AI agents to inherit accumulated context. The company also reports early operational improvements, including a 60% reduction in time spent assembling reports and dashboards, 8–10 hours saved per marketer each week on routine campaign tasks and 2–3x faster client project delivery across agency accounts.

These figures are company-reported rather than independently verified, but they illustrate the efficiency metrics emerging around AI-enabled marketing operations.

Top Insights

• Arena combines marketing intelligence, AI agents and workflow management.
• The platform is built around Position²'s two decades of marketing expertise.
• Integrations span advertising, analytics, CRM, collaboration and commerce platforms.
• Shared corporate memory is positioned as a differentiator from task-focused AI tools.
• Reported early results focus on reporting efficiency, campaign automation and delivery speed.

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Cogya and ROI Monitor are preparing to show how long-standing marketing ROI expertise can be converted into an operational AI system, highlighting a broader shift toward capturing specialist decision-making inside marketing technology.

The Miami-based AI strategy and product development firm and ROI Monitor, the marketing ROI platform founded by Pablo Turletti, will host a free live webinar on September 10 at 12:00 p.m. ET. Titled “Cogya x ROI Monitor: A Case Study in Turning 15 Years of Marketing IP Into an AI System,” the session will examine the development process behind an AI platform announced last month.

At the center of the project is Turletti’s causation-based marketing ROI methodology, which is designed to connect marketing activity with measurable business and financial outcomes. According to the companies, Turletti developed the approach over 15 years and has trained more than 1,000 marketing professionals.

Rather than focusing primarily on the platform's launch, the webinar will examine how the underlying expertise was translated into AI workflows. Cogya executives Damien Bonnefoux and Mohamed Abdalhamid are expected to discuss how Turletti’s decision-making logic was mapped into structured workflows and the architecture choices made during development.

The case also illustrates a key challenge for enterprise AI adoption: converting tacit knowledge held by experienced professionals into repeatable processes. Marketing organizations often depend on specialists whose expertise can be difficult to scale across teams, markets and campaigns. Turning that expertise into structured workflows could allow organizations to make certain analytical and operational processes more consistent.

For ROI Monitor, the project also represents a change in how its methodology is operationalized. Turletti will participate in the webinar to discuss the domain-expert perspective and the process of translating years of judgment into a system intended to operate consistently without requiring his direct involvement in every decision.

Market Landscape

Marketing technology is increasingly moving beyond automation of repetitive tasks toward systems that can incorporate organizational knowledge, decision logic and specialized expertise. AI platforms that combine domain knowledge with structured workflows are part of this broader transition.

The ROI Monitor case is particularly relevant to marketing measurement because ROI analysis requires organizations to connect campaign activity with commercial outcomes rather than relying solely on surface-level performance metrics. The companies' emphasis on causation-based methodology positions the project around decision quality as well as automation.

Strategic Outlook

The larger opportunity is not simply replacing manual work with AI. For marketing organizations, a more significant benefit may come from making specialized expertise available across a wider operating team. However, the effectiveness of such systems depends on how accurately expert reasoning can be represented, structured and maintained as business conditions change.

Top Insights

• Cogya and ROI Monitor are showcasing an AI implementation built around marketing ROI expertise.
• The platform operationalizes a methodology developed by Pablo Turletti over 15 years.
• The project focuses on translating expert judgment into structured AI workflows.
• The webinar will examine both technical architecture and operational changes.
• The case highlights the potential for AI to scale specialist marketing knowledge.

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