Procedureflow, a leading knowledge management platform, has announced a strategic partnership with Laivly, an AI solutions provider for contact centers. The collaboration merges Procedureflow’s visual guidance capabilities with Laivly’s AI intelligence to help agents deliver faster, more accurate, and consistent customer support across all channels.

“Partnering with Laivly allows us to offer agents additional tools and insights to better serve customers,” said Dan Keddy, VP Partner Sales and Channel Management at Procedureflow. “Together, we can help contact centers operate more efficiently and elevate service quality across industries like Retail, BFSI, Hospitality, and Healthcare.”

How the Partnership Works

Procedureflow’s platform guides contact center teams through complex workflows, reducing errors and streamlining processes. Features like Power Shapes allow automation to be embedded directly into processes, while task automation handles CRM updates, ticket creation, and other repetitive tasks—freeing employees to focus on higher-impact work.

Additional tools include:

• Built-in calculators for instant eligibility, payment, or balance determinations

• Display tables that sync data across systems, keeping agents informed without switching platforms

• Visual guidance combined with AI-driven insights to ensure consistent, accurate interactions

Laivly’s AI complements Procedureflow by providing intelligent automation that enhances decision-making and process adherence, enabling agents to respond quickly and consistently to customer needs.

Implications for Contact Centers

By integrating AI with knowledge management, organizations can establish a reliable foundation for AI adoption in customer support environments. Accuracy, accessibility, and actionable insights are critical for industries like BFSI and Healthcare, where compliance and regulatory requirements demand consistent processes.

This partnership reflects the broader industry trend of combining AI with human-centric workflows. Contact centers that adopt integrated solutions like Procedureflow and Laivly can improve operational efficiency, reduce errors, and enhance the overall customer experience—all while keeping employees at the center of the process.

As customer expectations continue to rise, the collaboration underscores a commitment to providing solutions that make customer support faster, smarter, and more reliable.

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When enterprise buyers shop, they don’t just want speed—they want scale, personalization, and procurement rules followed to the letter. At VTEX Vision 2025, the NYSE-listed commerce platform made its case as the backbone of modern connected commerce with a hefty lineup of new B2B features, fresh omnichannel capabilities, and its boldest play yet: an AI-powered workforce designed to automate enterprise operations.

The timing is spot-on. As digital commerce accelerates, enterprises are under pressure to cut costs, unify siloed systems, and deliver personalized experiences that rival consumer-grade platforms. VTEX’s pitch? A single platform that can do it all.

B2B Commerce Gets Its Own Playbook

Unlike consumer retail, B2B commerce isn’t about quick conversions—it’s about navigating approval hierarchies, budget controls, and bulk orders without breaking workflows. VTEX is doubling down on this complexity with new enterprise-grade tools:

• Personalized catalogs, pricing, and payments per buyer for tailored procurement.

• Buyer org management with branch structures, role-based access, and policy enforcement.

• Approval workflows that automate procurement compliance.

• Quick order tools & SKU matrix support for high-volume repeat purchases.

• Punchout integrations to plug directly into corporate procurement systems.

That’s not a shiny add-on—it’s infrastructure. According to B2B analyst Andy Hoar’s B2B Paradigm 2025 report, VTEX outscored rivals in Total Cost of Ownership and Marketplace capabilities. Translation: they’re not just keeping pace—they’re setting the bar.

Omnichannel Finally Feels Seamless

Retailers have long chased the dream of omnichannel, but reality often looks like a patchwork of siloed inventory and delayed delivery promises. VTEX is trying to fix that by giving brands a more intelligent backbone. New features include:

• AI semantic search & recommendations for personalized discovery.

• Unified inventory across B2C, B2B, marketplaces, and physical stores.

• Multi-seller carts that merge items from first-party, third-party, and in-store stock.

• Delivery Promise & cross-channel fulfillment, streamlining BOPIS and Ship-from-Store.

If this sounds like a direct challenge to the likes of Salesforce Commerce Cloud or Adobe Commerce, it is. Where rivals emphasize marketing-first, VTEX is making the supply chain sexy—because without operational accuracy, personalization is just window dressing.

Meet the “Agentic AI” Workforce

The flashiest part of Vision 2025 was VTEX’s first wave of AI agents—digital specialists designed to automate enterprise bottlenecks. This isn’t just chatbot 2.0; it’s a step toward an “agentic commerce” future where infrastructure thinks on its own.

• Customer Service Agent: Already in action at UNICEF and Cencosud, resolving 92% of support tickets autonomously and slashing average handle time from hours to minutes.

• Visual Editor Agent: Coming soon, it will let teams update storefronts using natural language or even a Figma file—no devs required.

• Data Insights Agent: Real-time performance data delivered in plain English, minus the dashboards and SQL queries.

If these land as promised, enterprises may finally shift from reactive firefighting to proactive growth strategies. In other words, AI becomes less about novelty and more about ROI.

Enterprise commerce is in a high-stakes transition. Companies are juggling global supply chains, buyer demands for personalization, and mounting pressure to prove ROI on every investment. VTEX is betting that one platform for B2B, B2C, marketplaces, and AI-driven operations is the answer.

Mariano Gomide de Faria, VTEX’s co-founder and co-CEO, summed it up bluntly: “Flexibility, transparency, and real-time adaptability will define the next generation of enterprise leaders. Anything else will be left behind.”

It’s a bold claim—but with AI agents running support, procurement running smoothly across continents, and omnichannel finally resembling the seamless vision brands were promised a decade ago, VTEX may have just raised the stakes for its rivals.

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TV advertising is starting to look a lot more like digital, and Harmonic wants to make sure broadcasters aren’t left behind. The company today rolled out a set of enhancements to its VOS360 Ad SaaS solution, introducing AI-powered contextual ad triggers, new programmatic ad workflows for linear TV, and fresh SDKs that expand compatibility with widely used video players.

The pitch is clear: a smoother ad workflow, more revenue potential, and fewer headaches for streamers, content providers, and broadcasters trying to navigate the hybrid world of TV and digital advertising.

AI in the Ad Break: Smarter, Contextual Triggers

Live sports has always been the crown jewel of ad inventory, but it’s also tricky territory—breaks are limited, timing is unpredictable, and a badly timed ad can ruin the viewing experience. Harmonic’s upgrade takes a page from the digital playbook, using AI-driven video analysis to pull scene-level metadata in real time.

That means broadcasters can drop contextually relevant ads—think overlays, L-shapes, or double boxes—precisely when engagement peaks. The result: more premium ad slots without cutting away from the action. For brands, that’s a way to connect with fans mid-game, not just during halftime. For publishers, it’s the promise of higher yields from inventory that was once difficult to monetize.

Bringing Programmatic to Linear TV

If contextual AI is about timing, programmatic is about scale. Harmonic is extending the efficiency of digital ad transactions to traditional linear broadcasting, a sector that’s long been locked into legacy sales processes.

With VOS360 Ad’s new programmatic workflows, broadcasters can now:

• Automate ad buying and selling with DSP and SSP integrations.

• Run unified campaigns across CTV and linear TV from a single system.

• Tap into new demand sources via platforms like Google Ad Manager and Magnite SpringServe.

This shift could be a big deal for broadcasters who’ve been struggling to keep pace with CTV’s flexibility. By marrying broadcast reach with programmatic efficiency, Harmonic is positioning linear TV as a viable player in the digital ad economy.

The TV ad market is in flux. CTV ad spend is climbing rapidly, but broadcasters still hold sway over live events, sports, and news—categories that command premium dollars. The challenge has always been bridging the gap between old-school broadcast workflows and the fast-moving, data-driven world of programmatic digital.

Harmonic’s VOS360 Ad SaaS upgrades suggest that gap is closing. If the execution lives up to the promise, broadcasters could unlock entirely new revenue streams without ripping out their infrastructure. And for advertisers, that means the elusive promise of unified, cross-platform campaigns gets one step closer to reality.

As Gil Rudge, SVP at Harmonic, put it: “From smarter, real-time ad placement to unified programmatic campaigns across CTV and broadcast, we’re giving customers the innovations they need to thrive.”

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Car dealerships may finally get the personalization muscle e-commerce giants have enjoyed for years. Fullpath, the AI-first Customer Data Platform (CDP) built for the automotive industry, has acquired Fuse Autotech’s Dynamic Payments solution—a move designed to help dealerships deliver real-time, personalized offers across every channel.

The deal signals a shift in how auto retailers manage customer engagement, with data flowing not just into CRMs, but directly into finance, service, and sales workflows in real time.

From Sticker Price to Smart Price

At its core, Dynamic Payments pulls pricing, rebates, OEM incentives, financing rates, and dealership-specific promos straight into the Fullpath CDP. That means every offer—whether it appears on a dealership website, in an email, an SMS, or a digital ad—is based on live inventory and up-to-the-minute deals.

For shoppers, it’s a welcome break from the usual “call for price” runaround. For dealers, it’s a way to automate offer generation and reduce friction at every stage of the buying process.

Fullpath CEO Aharon Horwitz put it bluntly: “This integration supports every profit center at the dealership—from sales and finance to service and parts—by ensuring marketing activities are always tied to real data.”

A New Layer of Personalization

The real trick here is scale. Traditional auto marketing often relied on broad campaigns with static incentives. By contrast, Fullpath’s expanded ecosystem can now push tailored offers instantly across multiple touchpoints.

• Websites: inventory pages that reflect real pricing and incentives.

• Email & SMS: personalized deals sent with zero manual input.

• Ads: dynamically updated campaigns that match real inventory.

For Andrew Walser, CEO of Walser Automotive, the payoff is tangible: “With real-time, personalized offers integrated into Fullpath’s platform, we’ve significantly increased closing rates and reinforced loyalty.”

The automotive sector is racing to modernize its digital retailing. Customers accustomed to Amazon-style personalization don’t have patience for outdated lead forms or static pricing. Competitors like Tekion and Roadster have been pushing digital-first platforms, but Fullpath’s acquisition of Fuse Dynamic Payments shows a different angle: make the CDP the control center of the dealership.

If it works as promised, this could streamline dealer marketing while finally delivering the frictionless buying experience car shoppers have been promised for years. The question now is whether other CDP players in automotive—or even broader retail verticals—follow suit.

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Financial fraud has always evolved with technology, but the rise of generative AI has supercharged the arms race. Enter Mitek Systems, the NASDAQ-listed identity verification firm, which just picked up a silver medal in Datos Insights’ 2025 Fraud and AML Impact Awards for its work in digital identity defense. The recognition goes to Digital Fraud Defender, Mitek’s security suite engineered to block the latest wave of AI-powered fraud—everything from deepfakes to synthetic IDs to injection attacks.

Traditional fraud detection often leaned heavily on “liveness” checks—making sure a selfie was from a real human, in real time. But as deepfake tech matures, those methods fall short. Mitek’s bet is that the only way forward is multi-layered protection.

Digital Fraud Defender’s toolkit includes:

• Deepfake detection using both visual artifacts and metadata analysis.

• Injection attack detection to spot manipulated or unauthorized video streams.

• Template attack detection that flags patterns tied to recycled fake documents.

• Purple Team adversarial testing, where ethical hackers stress-test the system to anticipate real-world threats.

It’s a mix of machine learning, metadata scrutiny, and proactive red teaming—a layered defense aimed at keeping fraudsters a step behind.

Battle-Tested in the Wild

The tech isn’t just theory. Mitek says Digital Fraud Defender has already exposed high-volume fraud campaigns that slipped past traditional filters. In one phishing-driven attack, the system caught 3,000+ injection attempts before they reached customers. In another, it kept a 99% biometric verification pass rate while filtering out AI-generated imposters.

That balance—catching bad actors without frustrating legitimate users—is key. Too much friction and customers walk. Too little, and the fraud bill spikes.

Industry Context: Deepfakes Meet Finance

Generative AI tools have made it alarmingly easy to spin up convincing fake IDs, manipulated documents, and cloned faces. For financial institutions, the risk is existential: onboarding one synthetic identity can lead to cascading fraud across accounts, loans, and payment rails.

Datos Insights’ Jim Mortensen summed it up: “Organizations can no longer rely on single-point solutions when facing increasingly sophisticated attack vectors.”

Translation: if your fraud prevention strategy still hinges on a selfie blink test, you’re already behind.

Fraud prevention is becoming as much about anticipation as detection. By combining detection with proactive adversarial testing, Mitek is signaling a shift toward pre-emptive resilience in digital identity.

As Chris Briggs, Mitek’s chief product officer, put it: “Liveness detection alone is not enough. That’s why we’ve layered protections to stay ahead of AI-driven threats. Recognition from Datos Insights validates that this approach is setting a new standard in fraud prevention.”

With fraudsters arming themselves with open-source AI and deepfake kits, solutions like Mitek’s may soon move from “nice-to-have” to baseline requirement. And with regulators increasingly eyeing financial institutions’ ability to handle digital fraud, multilayered defenses could also become a compliance necessity.

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Security operations centers don’t just drown in alerts—they drown in data. With attack surfaces expanding across AI, cloud, SaaS, and on-prem, SOCs are increasingly forced to choose between ballooning SIEM bills or leaving critical telemetry logs on the cutting-room floor. CeTu thinks that’s a false choice.

The company, recognized in Gartner’s Hype Cycle for Security Operations 2025, has made its agentless, no-code SecOps data management platform available on the AWS Marketplace. The move makes procurement easier for enterprise teams while putting unspent AWS credits to work.

The Data Flood Problem

Modern SOCs ingest petabytes of telemetry—from AWS CloudTrail logs to VPC Flow Logs and beyond. Yet the costs of shoving everything into a traditional SIEM often prove unsustainable. Many organizations now skip ingesting key security logs altogether, creating dangerous blind spots.

Onboarding new AI apps doesn’t help, introducing a flood of non-standard log formats that require scarce expertise to normalize and correlate. The result: more complexity, more risk, and slower incident response.

CeTu’s Pitch: AI-Powered Data Pipelines

Instead of treating security data as an expense line, CeTu is reframing it as an opportunity. The platform builds dynamic telemetry pipelines that normalize, filter, enrich, and route logs across destinations—from high-performance SIEMs to cost-friendly Amazon S3 buckets or Amazon Security Lake.

Key features include:

• Automation for the modern SOC: Optimize ingestion across SIEMs, data lakes, and storage to cut costs by as much as 80%.

• Security-aware AI: Continuously monitors for blind spots and data quality issues, turning hidden threats into visible signals.

• No-code workflows: Designed for everyday engineers, enabling time-to-value in days, not months.

• AWS-native procurement: Streamlined billing and compliance, with the option to use AWS credits.

“The SOC is evolving, and CeTu is accelerating that transformation,” said CeTu CEO Omer Schneider. “Security teams shouldn’t have to choose between cutting costs and strengthening defenses. CeTu changes that equation.”

Gartner recently noted that telemetry pipelines have entered the “early mainstream” phase of adoption, validating a shift toward smarter data management in cybersecurity. CeTu’s AWS Marketplace debut underscores this trend, positioning it against both pipeline-first vendors like Cribl and broader security analytics players like Splunk.

For enterprises, the appeal is twofold: cut SIEM costs without cutting visibility, and gain a more intelligent defense posture that can adapt to emerging threats like deepfake-driven fraud and AI-powered attacks.

With CeTu now one click away in AWS Marketplace, the pressure is on other SecOps vendors to match its mix of cost efficiency and security-aware intelligence.

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If you thought “process automation” was already running at full throttle, Appian just pressed the turbo button. The company rolled out a batch of AI-driven enhancements designed to make enterprise workflows faster, smarter, and more secure—particularly for data-heavy industries and government customers.

At the heart of this release are four upgrades: semantic smart search, AI availability for self-managed and FedRAMP environments, automatic data fabric scaling, and embedded Process HQ reports. Taken together, they reinforce Appian’s pitch as the platform where AI isn’t just a bolt-on feature but the backbone of how work gets done.

AI Search That Understands You (Not Just Your Keywords)

Forget keyword guessing games. Appian’s upgraded AI smart search uses semantic understanding to return results based on intent, not just exact terms. Tied into the company’s “data fabric,” which unifies millions of records and documents across systems, this makes searching more like asking a colleague who knows where everything is filed. Think fewer dead ends and more context-aware results—useful for customer support cases, underwriting, or any workflow where finding the right detail fast matters.

AI Access for Everyone—Even Government

One of the quieter but more impactful shifts: Appian AI is now fully available in self-managed and FedRAMP environments. Translation? Federal agencies and security-sensitive industries can finally tap into enterprise-grade AI without worrying about compliance roadblocks. In a market where rivals like ServiceNow and IBM are chasing the same contracts, Appian is clearly angling to make itself the “safe bet” for regulated sectors.

Data Fabric That Scales Itself

Enterprise IT teams will appreciate the new data fabric autoscaling. Instead of tweaking capacity by hand, Appian automatically scales to handle heavier query loads. That means high-volume use cases—say, insurance claims or financial risk models—keep running smoothly without admins playing catch-up. Add in asynchronous interface loading (which quietly shuffles slow data into the background), and end users see snappier apps with less lag.

Process Insights Without the IT Bottleneck

Process HQ, Appian’s tool for spotting bottlenecks and inefficiencies, now embeds directly into Appian Sites. End users can explore dashboards, drill down into data, and share insights without calling IT for help. For managers, that means bottleneck-busting insights are just a click away, no tickets required.

Appian’s release isn’t about flashy AI demos—it’s about quietly solving the headaches that make enterprise automation brittle: siloed data, compliance friction, sluggish apps, and reporting bottlenecks. In an environment where CIOs are under pressure to show measurable ROI on AI investments, Appian’s “secure, scalable, and useful” approach could resonate.

Michael Beckley, Appian’s CTO, put it bluntly: “We’re delivering AI with guardrails and transparency, without compromising on security or control.”

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Legacy observability platforms are starting to look like flip phones in a 5G world—functional, but painfully behind the times. Crest Data thinks it has the fix. The company just unveiled its Migration Acceleration Service for Datadog, a new offering designed to slash migration timelines by up to 60%, helping enterprises trade their clunky monitoring stacks for Datadog’s slick, unified observability and security platform.

The observability market has been shifting fast. With cloud-native environments growing more complex, legacy SIEM and monitoring tools often can’t keep up—leaving enterprises paying high costs for underwhelming visibility. Datadog, on the other hand, has steadily become the poster child for modern observability. The hitch? Migrating is usually a nightmare.

That’s where Crest Data steps in. “Many enterprises want to move to Datadog but the migration is slowed by the complexity of converting dashboards, alerts, and workflows from legacy systems,” said Malhar Shah, Crest Data’s Co-founder & CEO. “Our Migration Acceleration Service eliminates that friction.”

How It Works

The service uses a phased approach powered by Crest’s Automated Migration Engine, which automatically converts up to 90% of dashboards, alerts, and workflows into Datadog-native formats. The last 10% gets manual fine-tuning by Crest’s experts—ensuring enterprises don’t end up with half-baked dashboards.

Early adopters say the time savings are real. “What would otherwise have taken several months can now be completed within a few weeks,” said Marylu Velazquez, Sales Director at TecnoMedia, noting that automation not only accelerates the process but also reduces risk and cost.

Datadog itself seems pleased with the partnership. “Helping customers move to Datadog's unified platform while further accelerating migration is a win-win for everyone,” said Jarrod Buckley, VP of Channels & Alliances at Datadog.

Crest’s timing is strategic. As enterprises face pressure to modernize IT infrastructure while trimming budgets, a fast lane to Datadog could be appealing. Rival observability vendors like Splunk and New Relic are also scrambling to show value amid rising competition from Datadog’s all-in-one platform. By positioning itself as the migration enabler, Crest Data isn’t just hitching its wagon to Datadog—it’s putting itself in the middle of one of the hottest tech shifts in enterprise IT.

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