Two Months with SitecoreAI

SitecoreAI First Impressions: From Hype to Real-World Lessons

When Sitecore unveiled SitecoreAI at Symposium 2025, the buzz was palpable. The new platform promised to unify content, personalization, data, search, DAM, essentially the entire digital experience stack, into "one platform that learns as you work". For digital experience leaders, this sounded like a turning point. Nishtech's team left Symposium energized by the vision of an AI-ready, SaaS-native Sitecore. But we also recognized a truth often glossed over in conference excitement: real value would be proven only through hands-on implementation, not slideshow promises.

Here's the best part. Nishtech was already building on SitecoreAI's foundation before Symposium because we had so many production sites in-flight on Sitecore XM Cloud. We were eager to see how the platform would evolve with the flood of new features. Every Sitecore partner in the ecosystem was waiting for access, some still are. Nishtech had access first thing Monday morning because of the client projects we had with our clients on Sitecore AI who wanted to know what it was all about. So we showed them! Our first month of deployment revealed a platform that's not just a tool, but a new way of thinking about digital experiences.

The hardest jump from Sitecore XM Cloud to SitecoreAI was to re-train our brains to stop saying XM Cloud. 2 Months in, I think we are all finally there as a team, but every now and then someone mentions the old XM Cloud. We'll get there. If that was the hardest part of the evolution, that meant everything else was like a dream. It was.

In our first month of deploying SitecoreAI in real projects, we kept one statistic in mind: 95% of enterprise AI pilots fail to deliver measurable ROI. The difference between buzz and business outcome comes down to execution. Our honest first impression? SitecoreAI's capabilities are powerful, but success requires rethinking workflows and human-tech interaction. We found that dropping cutting-edge AI into legacy processes without redesigning those processes is a recipe for "AI slop", messy outputs and technical debt from unguided generative tools. The key lesson was strategy over novelty: AI isn't a magic wand; it's an accelerant in need of direction. As Nishtech's own AI strategists like to say, "AI is not transformative. Workflows are." Our early deployments confirmed this, the organizations that saw immediate gains were those willing to reimagine their workflows to fully integrate AI, rather than treat AI as a bolt-on widget.

Critically, we learned to insert human expertise back into the loop at the right points. Rather than trusting an AI to autonomously handle complex tasks end-to-end, we orchestrated sequences where AI agents tackle well-defined subtasks and humans provide oversight and context. This human-in-the-loop design prevented the typical failure mode where "a model might generate seemingly brilliant answers, but if it cannot remember past interactions, access internal data, or follow process rules, it quickly becomes another siloed tool, impressive in demos but frustrating in production". In short, our first month taught us that SitecoreAI actually delivers when approached with a workflow mindset: break big problems into small AI-assisted steps, keep humans in control of quality, and leverage the platform's integration of content and data to give those AI agents the context they need.

Beyond the Partner Buzz: How Nishtech is Building Meaningful Integrations

A lot of vendors talk a big AI game; Nishtech set out to do the work beyond the buzz. Immediately after Symposium, our team dove into meaningful, complex integrations using SitecoreAI's new tools, especially the Sitecore Marketplace and Agentic Studio. These aren't just flashy add-ons; used together, they let us extend Sitecore in ways previously impossible in a SaaS platform. The new Sitecore Marketplace in particular is a game-changer for composability. Unlike the outdated module marketplaces of old, Sitecore's modern Marketplace enables partners to build plug-and-play SaaS components, plugins, custom apps, connectors, even new field types, that extend the cloud platform in a future-proof way.

. In our first month, Nishtech leaned into this model. Instead of hard-coding customizations into a CMS (which would traditionally create upgrade headaches), we built out custom apps and connectors that drop into SitecoreAI seamlessly. For example, we quickly prototyped an SSO integration with Google Workspace, all through Marketplace packaging and APIs, not brittle bespoke code. This integration gave us full capabilities of G-Suite widgets and APIs that some of our enterprise clients were waiting for. The ability to distribute these as private apps for some specific clients (or eventually offer them publicly) means faster delivery and less technical debt for everyone.

Agentic Studio, meanwhile, became our playground for orchestration. This was perhaps the most hyped Symposium feature. A no-code canvas to design and run AI agents and workflows inside SitecoreAI. Nishtech took Agentic Studio from concept to practice by orchestrating real multi-step marketing and operations flows. One of our earliest deep-dives was using Agentic Studio to coordinate the notoriously complex task of migrating a legacy Sitecore implementation to XM Cloud. Rather than simply touting AI potential, we built an AI-assisted migration engine that combined SitecoreAI's capabilities with our own proven utilities. "The answer is not one big AI tool doing everything, it's a symphony of connected systems, each with a clear role, guided by human intelligence and strengthened by decades of Sitecore experience," as we shared with peers. In this migration scenario, Agentic Studio allowed us to chain together specialized agents and scripts (some from the Marketplace, some custom) for exporting content, auditing code, transforming components, and importing into the new cloud environment. SitecoreAI's unified data model meant these agents could talk to each other and to the platform smoothly. The result was more than just a cool demo, it was a fully functional migration orchestration that turned a daunting project into a predictable sequence of automated steps with human checkpoints. In the past, such a solution would've required a patchwork of scripts and months of engineering; with SitecoreAI's extensibility, we stood it up in a matter of weeks. This is how Nishtech is moving beyond buzzwords and using SitecoreAI to solve complex integration challenges in the real world.

Smarter Sitecore AI Workflows: Persistent Memory and Human-in-the-Loop Automation

Perhaps the biggest revelation from our hands-on work was how Agentic Studio workflows differ from traditional automation tools. We've used popular orchestration platforms like n8n in the past, they're great for basic if-this-then-that tasks, but we found they hit a wall when tackling AI-driven processes that require memory, context, and on-the-fly judgment. By contrast, Sitecore's agentic approach is built to overcome that "learning gap" where most GenAI systems falter. In our SitecoreAI experiments, every agent in a workflow can maintain a persistent memory of context and outcomes. That means an AI content auditor agent doesn't start from scratch on each item; it remembers the guidelines and even previous content patterns as it moves from page to page. We plugged in a Redis-based memory layer to some of our Agentic Studio flows for enhanced context retention, allowing, for instance, a content QA agent to learn which style or compliance issues were already flagged earlier in the run and avoid repeating itself. This persistent context is something we simply couldn't achieve with n8n alone, which would require custom coding to mimic such "memory."

Equally important, SitecoreAI flows enabled dynamic, contextual decision-making in a way traditional automation can't. In one workflow, we had an AI analyze analytics signals and automatically branch into different marketing actions (adjust SEO tags, spin up a personalized email, etc.) based on what it inferred, essentially contextual automation that would be prohibitively complex to hard-code. With Agentic Studio, these branches were defined through natural language conditions and our own prompt engineering, rather than thousands of lines of imperative code.

Of course, no AI workflow should run blind. Nishtech made full use of Agentic Studio's ethos of human-in-the-loop orchestration. Sitecore's product team emphasized that Agentic workflows are about AI + human checkpoints, not blind automation, and we wholeheartedly agree. In practice, this meant inserting approval or review steps where needed. For example, after an AI agent converted legacy page layouts into new components, we had a human review gate where a developer could inspect a summary of changes before anything went live. We configured the workflow so that the AI pauses and pings a human if it encounters an anomaly or low-confidence output. These human checkpoints proved invaluable, they caught edge cases the AI didn't know how to handle and turned potential failures into learning opportunities for the system. Notably, this approach virtually eliminated the "hallucination" problem; nothing questionable made it through without a human eyeball on it.

Below is an illustration of one such orchestrated workflow that Nishtech built for a Sitecore XP-to-XM Cloud migration. It highlights how we combine multiple AI agents with memory stores and expert oversight:

Figure: Nishtech's orchestrated migration flow using SitecoreAI. Each step is handled by a specialized agent or utility, from content export to code transformation, all coordinated through a central orchestration engine. A Redis memory layer tracks dependencies and history across steps, giving the AI agents a persistent context as they work. Crucially, human experts are woven into the process, at designated checkpoints, our team reviews and validates AI outputs to ensure quality and architectural integrity. This human-guided, memory-enhanced workflow turns a formerly risky migration into a predictable, maintainable sequence, showcasing how Agentic Studio enables what traditional automation platforms cannot.

This "AI orchestration" approach has already paid dividends. By leveraging SitecoreAI's agentic workflows, we've seen some tasks completed in a fraction of the time. In one case, generating a full content audit and migration plan, a task that used to take consultants weeks of analysis, was mostly automated and completed in just days, with our experts focusing only on the critical review points. Early results like this echo Sitecore's own findings that AI-powered migration processes can accelerate projects by up to 70% compared to brute-force methods. More importantly, the outcomes are better. The combination of AI diligence and human judgment produced deliverables (like migration audits, content mappings, code refactorings) that were higher quality than what we saw with purely manual or purely automated attempts in the past. This hybrid orchestration is something new, and it's allowed us to tackle initiatives that were previously deemed too complex or labor-intensive. In short, Agentic Studio has enabled smarter workflows,the kind that learn, adapt, and collaborate with people, which is a leap beyond the static logic of traditional orchestration tools.

Nishtech Pushing A New Frontier for Sitecore AI in Optimization: AEO, GEO, and SEO with AI

One area where SitecoreAI experimentation showed immediate business impact was content optimization. This is not just classic SEO, but the new alphabet soup of AEO (Answer Engine Optimization) and GEO (Generative Experience Optimization). Digital leaders know the rules of search and discovery are changing fast. In fact, Gartner predicts that by 2026, traditional search engine query volume will drop 25% as users shift to AI chatbots and virtual assistants for answers. We're already seeing this in the field: according to Bain & Company, 80% of users don't click any links on 40% of searches, meaning the answer was found without visiting a website (e.g. via a featured snippet or AI-generated overview). Some content-heavy sites haveseen organic traffic drop 20% or more as a result. Traditional SEO alone can't counter this trend. Nishtech's month-one priority was leveraging SitecoreAI's tooling to help our clients adapt to these AI-driven discovery models.

Our team made AEO and GEO enhancements a cornerstone of every SitecoreAI pilot. Answer Engine Optimization (AEO) is all about making your content the preferred source for direct answers – those featured snippets, knowledge panel entries, or responses that voice assistants read aloud. Meanwhile, Generative Engine Optimization (GEO) focuses on ensuring large language models and generative AI "think" of your content when formulating answers, meaning your information is both used and cited by AI systems. In practice, the lines between AEO, GEO, and SEO are blurring, so we tackled them together. Using SitecoreAI, Nishtech has been able to turbocharge content for this new reality:

• Auto-Generated FAQs and Knowledge Pages: One of the first quick wins came from Sitecore Search's AI capabilities. We used Sitecore's generative search algorithms to surface common questions users ask, and then, with a bit of Agentic Studio magic, automatically generated structured Q&A content to answer those questions. Essentially, we're turning the client's own site search insights into SEO/AEO gold. The AI can draft FAQ pages based on existing content, and we then refine and publish them as official FAQ or "How do I...?" pages. These pages are packaged with proper schema markup (FAQPage structured data) so Google and Bing treat them as authoritative answers. The effect is twofold: we extend the reach of existing content into "answer boxes" on search engines, and we improve the site's visibility in the new AI overview results. In one pilot, after rolling out AI-generated FAQs, the client gained multiple featured snippets on Google that they never had before, and their content is now being picked up by tools like Bing Chat. This is exactly what AEO is about. The best part? The process is structuring content for direct answers. SitecoreAI made it remarkably efficient.
• Generative Search Optimization (GEO): We've also attacked the problem from the AI side. SitecoreAI gives us tools to ensure our content is easily consumable by generative models. That means focusing on clarity, structure, and credibility. Nishtech's content strategists worked with the AI assistants in SitecoreAI (yes, there's even an AI "content coach" in there) to analyze and improve content through the lens of GEO. For example, we used an AI agent to add missing schema markup, improve metadata, and enforce consistency in terminology across the site, all of which make the content more legible to AI algorithms. We also leaned on SitecoreAI's brand tone and quality compliance agents to ensure content isn't just machine-readable but also high quality and trustworthy (aligning with Google's E-E-A-T guidelines). The result: our clients' sites become recognized by AI engines as authoritative sources. As one recent report put it, being seen as an authority by AI is about "influencing what the AI engine thinks and says", and that only happens if your content is well-structured and credibly written. By iterating with AI assistance, we've bumped up those credibility signals. Early indicators are promising, we anticipate that as these AI-driven channels grow, our clients who invest in GEO now will improve visibility across AI-powered interfaces and reclaim lost traffic as users engage with their content via chatbots and AI search.
• Multilingual and Geographic Personalization: A brief but important note:SitecoreAI's built-in multilingual generation has been a boon for GEO in the literal sense (geographic optimization). In the first month, we had one client eager to reach Spanish-speaking audiences. Using the AI translation agent (part of Agentic Studio's library), we could generate Spanish versions of key pages with impressive speed and accuracy. Our team, including native speakers for quality control, then fine-tuned the nuances. The end product was culturally adapted content ready to go live in a fraction of the time a traditional translation cycle would take. This matters for both SEO and GEO: the Spanish content is now indexed and ranking for local queries (SEO benefit), and it's also feeding Spanish-language AI queries with relevant answers from our client (AEO/GEO benefit). Similarly, SitecoreAI's personalization combined with geo-IP data allows us to present region-specific content effortlessly, improving user experience and engagement metrics in each locale.
• Ongoing SEO Improvements: We haven't forgotten traditional SEO either, it's still foundational. But even here, SitecoreAI provides an edge. The platform includes AI-powered SEO recommendations and automation. Nishtech has used the SEO assistant agent to scan pages for on-page SEO issues (like missing alt tags, weak meta descriptions, inconsistent headings) and suggest fixes. It even drafts meta descriptions in the brand's tone, which we can approve or tweak. By offloading these tedious tasks to AI, our marketing teams saved time and were able to focus on strategy and content that truly differentiates. One client's web team joked that SitecoreAI's content suggestions felt like having an extra SEO specialist on staff, one who works 24/7 and never gets tired of keyword research. In numbers, one pilot site saw a ~15% improvement in page load times and technical SEO scores after we implemented the AI's recommendations (it identified some heavy images and broken links that were promptly fixed). Better technical SEO combined with AEO content means we're covering all bases of the "triple-threat optimization" needed in the AI era.

In summary, embracing AEO and GEO via SitecoreAI isn't just a defensive move to protect search rankings, it actively creates new opportunities. Our clients are getting more value from the content they already have, reaching both traditional searchers and AI-driven question askers. The first month of experiments already showed enough promise that these optimization workflows are becoming a standard part of Nishtech's playbook. For decision-makers, the takeaway is clear: the way customers discover information is evolving, and AI can help you stay ahead. By using SitecoreAI to tighten the feedback loop between what users ask for and what your content delivers, you ensure your brand stays visible and relevant in this next chapter of search.

Composable Digital Experiences over Static CMS: The SaaS Advantage

Another major outcome of Nishtech's SitecoreAI journey has been a shift in architecture mindset. We've long preached the benefits of composable digital experience platforms, now we're seeing those benefits materialize rapidly thanks to SitecoreAI's customizable SaaS patterns. What do we mean by that? In the old days (think traditional CMS architectures), extending your digital platform meant writing a lot of custom code inside the CMS, or bolting on products that never quite fit. It led to brittle, static implementations that were hard to change. With SitecoreAI and XM Cloud, those days are fading. In our first month, we've repeatedly leveraged the combination of SaaS + composability to deliver features in days that used to take weeks, all without breaking the base platform.

A concrete example is how we reduced reliance on static CMS customizations for integrations. One of our clients needed their website to pull data from a third-party product inventory system and display it in real-time on the site. In a pre-SaaS world, we might have written a custom .NET extension or scheduled task in the CMS to sync that data, a fragile approach at best. Instead, using Sitecore Marketplace patterns, we created a lightweight custom app connector that lives in its own isolated container, calls the external API securely, and feeds the data to Sitecore through standard endpoints. We deployed it via the Marketplace framework so it hooks into the client's SitecoreAI instance with proper governance. The whole process was faster and cleaner than traditional custom development. And if the integration needs to change or be turned off, it's modular, not tangled up in the core CMS. This speaks to Sitecore's new ethos of being "Unified. Open. Agentic." It's unified in that our connector works within one SaaS ecosystem (no separate servers to manage), and open in that we could plug in our own tools, connect external APIs and even external AI models freely" without voiding warranties or hindering upgrades. For the client, this means future agility. This means their digital experience platform can evolve piece by piece, rather than requiring expensive overhauls for every new integration.

Nishtech's use of these SaaS composability patterns unlocked more agile, truly "composable" digital experiences for our customers. We saw this dramatically in a project for an internal portal (more on that soon). In that case, we used XM Cloud (SitecoreAI) as the foundation and layered on numerous integrations: HR systems, a knowledge base, a service desk, etc. Because XM Cloud is API-first and Marketplace-friendly, our team was able to integrate each external service as a discrete component of the experience. The resulting solution spanned what used to be three separate platforms – consolidated now into one unified experience for end-users. And yet, from a maintenance standpoint, each integration is decoupled. For instance, if the client swaps out their HR system next year, we can update or replace the HR connector app without rebuilding the whole intranet. This simply wouldn't have been feasible if we had taken a "static CMS" route where everything is tightly coupled in one monolith.

Furthermore, the SaaS nature of SitecoreAI speeds up our delivery. There's no waiting around for IT to provision servers or for lengthy deployments. In our month of working with it, we noticed how quickly we could spin up new environments, prototype ideas, and push updates. One could argue that this is true of any modern SaaS, but what's unique here is that we get SaaS convenience without losing flexibility. Historically, a knock against SaaS CMS platforms was that you traded away customization for the simplicity of the cloud. SitecoreAI turns that on its head: with the Marketplace and cloud extensibility, we can customize the SaaS in a supported, upgrade-safe manner. Nishtech has fully embraced this. We've started packaging some of our own accelerators and best practices as reusable apps for SitecoreAI, effectively creating a library of Nishtech "building blocks" that we can mix and match per client. This approach drastically reduces implementation timelines and ensures high quality (since we're reusing proven components). For example, our team has an app from the Marketplace that provides advanced scheduling (a modern version of the old Sitecron module, now cloud-ready), we dropped that into a project to handle content publishing workflows in a few clicks. In the past, implementing something like scheduled publishing might involve custom code or a third-party module of dubious compatibility. With SitecoreAI, it's plug-and-play, which keeps the overall architecture much cleaner.

To sum it up, Nishtech's first month with SitecoreAI validated the power of composable SaaS architecture. By relying on configurable patterns, small apps, and integrations rather than heavy in-CMS custom code, we delivered faster and set our clients up with solutions that are easier to maintain. One CTO we work with noted that their new SitecoreAI-powered solution feels less like a single rigid system and more like an ecosystem of capabilities that can be extended or swapped as needed. That kind of agility is exactly what digital decision-makers are looking for today. And we're happy to report that it's not just theory. We've seen it in practice, improving our team's productivity and the client's confidence that their platform can adapt to whatever the future brings.

Cross-Industry Proof: A Healthcare Intranet Breakthrough from Nishtech

It's one thing to talk about marketing sites or e-commerce using AI, but what about industries often thought of as "traditional" or highly regulated? Nishtech's SitecoreAI journey has also demonstrated that these advances are cross-industry, the principles apply just as well in, say, healthcare or B2B, as they do in retail. A prime example is a project that became a highlight of our past month: building one of the largest healthcare intranets in the country on SitecoreAI. This might sound surprising, using a marketing-oriented DXP to run an internal intranet for 200,000+ healthcare workers,but that's exactly what we've been doing, and doing successfully.

By the end of Symposium 2025, word had spread that Nishtech's client (a major U.S. healthcare system) had chosen Sitecore XM Cloud as the foundation for an employee intranet serving nearly 200k users. Many in the community were astonished to hear that Sitecore's SaaS platform could handle an intranet of this scope, but as people stopped by our booth to learn more, the buzz quickly turned into real excitement. For decision-makers in any industry, the takeaway was clear: if SitecoreAI can power something as complex and massive as a healthcare provider's internal "digital front door," it can likely handle your use case too. The project showcased the versatility of SitecoreAI beyond traditional marketing sites – it's "not just for marketing websites; it can successfully run huge employee-facing portals when implemented with the right expertise," as one observer noted.

Why is this healthcare intranet relevant here? Because it encapsulates many of the themes we've discussed and proves them out in a demanding context:

Personalization & Workflow Outcomes: We delivered personalized, role-based content to thousands of nurses, doctors, and staff. Using SitecoreAI's personalization engine, the intranet shows each user the news and tools relevant to their role and location. The result has been higher engagement – early analytics showed significantly higher click-through rates on news articles once we tailored them to specific audiences (e.g. clinicians see clinical updates, IT staff see technology alerts). This mirrors the marketing world (deliver relevant content, see better engagement), but applied internally. It's a concrete outcome: more informed and satisfied employees, which leadership values highly.

• Integration at Scale: The project used the composable integration approach described earlier. Nishtech built numerous connectors to integrate systems like HR, payroll, scheduling, and help desk into the intranet. Employees can accomplish tasks that used to require multiple logins or calls, check pay stubs, swap shifts, submit IT tickets, all from one interface. By consolidating over three previously siloed internal sites into one, the intranet greatly reduced friction in employees' day-to-day workflows. This has a direct business outcome: saved time and improved productivity across a workforce of thousands (imagine the aggregate hours saved when each of 200k people can find information or complete a task a few minutes faster). It's digital experience optimization, but inward-facing, and it underscores that the composable, AI-enhanced approach scales even in strict environments like healthcare.
• Future-Proof and AI-Ready: Because it's built on SitecoreAI, this intranet is already poised to take advantage of more AI features. In fact, we plan to deploy AI-powered search and chatbot assistants in the next phase, enabling staff to ask natural language questions and get instant answers from internal knowledge bases. Think of it as AEO for your employees, we'll optimize the intranet content so an "employee answer engine" (an AI chatbot) can surface policies or how-tos on demand. The fact that the platform supports this out-of-the-box is a huge plus; it means the healthcare organization's investment today will continue to pay off as they layer on more AI capabilities without having to re-platform again.

The success of this healthcare use case has been a powerful validation. It demonstrates to leadership teams across industries that Sitecore's AI-driven, composable DXP can tackle projects beyond .com websites, from finance portals to member communities to, yes, large intranets. For Nishtech, it's been gratifying to see our approach work in such a mission-critical setting. And for Sitecore, the project is now a case study proving the platform's scalability and flexibility at enterprise scale. The bottom line is that AI experimentation isn't just for tech companies or consumer brands. If a healthcare provider can leverage SitecoreAI to better connect and inform its people (all while meeting strict privacy and compliance requirements), then any organization can find relevant uses for these tools. We're confident enough to say that, as of one month in, there's no industry we've seen that can't benefit from SitecoreAI's blend of automation, personalization, and composability, whether it's to engage customers or empower employees.

Conclusion: Turning Experimentation into Outcomes

After a month on the front lines with SitecoreAI, Nishtech's verdict is that the platform lives up to its promise, provided you approach it with the right strategy. We've moved beyond the shiny object syndrome and zeroed in on practical outcomes: faster execution, smarter content, and more agile digital ecosystems. Our honest reflections have highlighted the importance of orchestrating AI with human insight (not replacing humans), leveraging open integrations (not hacking the core), and optimizing for the new ways people find information (not just the old SEO playbook). The reward for doing so is tangible. We've seen complex migrations accelerated from months to weeks, content experiences become more discoverable in both search engines and AI assistants, and internal teams reclaim precious time by automating grunt work and enabling self-service.

For the executive reader, what matters are results, and that's exactly where our focus remains. In just a few weeks, Nishtech's SitecoreAI initiatives have started to deliver measurable business outcomes: reduced operational costs on content and IT workflows, improved engagement metrics (higher conversions externally, higher adoption internally), and faster time-to-market for new digital capabilities. These early wins are building confidence among stakeholders that AI isn't just hype, it's a practical tool to drive growth and efficiency when wielded correctly.

Perhaps most exciting is that this is only the beginning. The pace of innovation we've experienced is unlike any prior Sitecore release. By continuously experimenting in Agentic Studio and collaborating with Sitecore's product team, we're effectively co-creating the future of digital experience management. Nishtech is committed to staying at the forefront of SitecoreAI not because it's cool tech, but because we've seen how it can transform the way organizations operate and engage with their audiences. From marketing campaigns that adjust in real-time, to healthcare intranets that keep critical staff connected, SitecoreAI is helping us deliver experiences that are more personalized, responsive, and intelligent than ever before.

The first month has been intense and illuminating. The next few months will no doubt unveil even more capabilities as the tools and our expertise evolve. Our plan is to keep sharing what we learn, candidly and with an eye on what drives value. In the end, the story isn't about AI itself; it's about what AI enables. And as our clients across industries are starting to see, AI-enabled Sitecore experiences are not just experiments, they're engines of real business outcomes. Nishtech is proud to be turning the Symposium buzz into boardroom results, one workflow at a time.