McLean, VA, USA
1999
  |  By Jackie Jubien
Across teams, organizations, and industries, people are starting with AI instead of the problem they want to solve. As a result, AI outputs from different tools: This is a process failure, and it's accelerating. Human-in-the-loop (HITL) AI is a framework that integrates human oversight directly into the machine learning lifecycle. Rather than relying on fully autonomous systems, HITL uses humans and machines collaboratively to train models, evaluate outputs, and handle complex decision-making.
  |  By Victoria Ebel
In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.
  |  By Tom Pirone
AI agents are proliferating faster than most institutions can govern them and the primary challenge is quickly becoming an "accountability gap." Disconnected pilots rarely scale into accountable, auditable operations. The financial services industry is currently at a tipping point: banks must bridge the gap between initial AI enthusiasm and operational reality.
  |  By Rachel Nizinski
Over the past few decades of digital transformation, organizations have accumulated separate tools for separate jobs: RPA for UI automation, BPM for workflow management, iPaaS for API integrations, and other point solutions. These investments have delivered undeniable productivity gains. But they've also created challenges: systems that don’t talk to each other, processes that break across integrations, and IT teams that spend more time maintaining the technology rather than innovating with it.
  |  By Sabrina Mei
Automated document processing, also known as intelligent document processing (IDP), uses artificial intelligence and machine learning to reduce the manual effort required to extract data from paper or digital documents. Why is that vital? As organizations continue to modernize in their workflows, enterprises still need to grapple with enormous volumes of documents, such as invoices, receipts, and contracts. Manual data entry and rekeying of document data creates an operational bottleneck.
  |  By Donna Namorato
When information is spread across disconnected systems, it becomes difficult and time-consuming to find the right information, make informed decisions, and move work forward. Take, for example, planning a weekend getaway with friends: you have to review airline portals, manage a shared Google Doc for the itinerary, orchestrate a flurry of WhatsApp chats, and book an Airbnb reservation. Making decisions with this much information sprawl becomes exhausting.
  |  By Heather Dunn
Customer service AI orchestration connects AI-driven intake to the backend systems and people who actually resolve a request, not just the chatbot that receives it. Every request should trigger an end-to-end resolution, not stop at an automated response. The real challenge with AI in customer service isn’t adoption; it’s fragmentation.
  |  By Anand Sadanandan
Enterprise IT leaders are often caught between the pressure to innovate and the demands of maintaining their current tech. When a system slows down or struggles to scale, it can be hard to know what to do. Rather than being stalled by uncertainty or getting distracted by fixes that don’t solve the underlying problems, Appian’s Customer Success experts encourage our customers to start with a core thesis: non-invasive application tuning should always be your first line of attack.
  |  By Louis Prensky
AI agents make thousands of decisions per day, at volumes no human-centered governance model can realistically supervise. According to IBM's 2026 Tech Leader Study of 2,000 CIOs/CTOs in 33 geographies across 19 industries: The study concludes that organizations face a trap: prioritize speed, and governance falls behind; or prioritize safety, and deployment stalls, weakening the organization’s competitive position.
  |  By Wei Smith
Everyone can build an AI agent today. The hard part isn't getting an agent to answer a question or complete a demo. It's deploying one that employees trust, security teams approve, and operations teams can manage at scale. That's where many AI projects stall. As organizations move beyond experimentation, the conversation shifts from prompt engineering to production readiness. Can the agent safely access business data? Can you evaluate changes before deployment? Can you understand why it made a decision?
  |  By Appian
AI transformation in financial services is no longer just a technical upgrade—it is the cornerstone of delivering the seamless digital experiences today's banking and insurance customers demand. In this feature from Appian Around the World London and Appian Europe, Sandeep Dubbireddi, Industry Vice President of Financial Services at Appian, breaks down what it takes to successfully diffuse artificial intelligence across entire enterprise organizations.
  |  By Appian
Episode 2 of the Serious About Process podcast is live! What if most of your underwriters’ time is spent on admin instead of underwriting? In this episode of Serious About Process, Gijsbert Cox and Roger Lewis explore how to reclaim that time through smarter processes, practical automation, and AI that enhances, not replaces, decision-making. From escaping pilot purgatory to scaling real solutions, they break down how insurers can drive measurable impact without ripping out legacy systems.
  |  By Appian
Appian’s unified platform brings together systems, and people, and AI agents to optimize processes and deploy AI with reliability and control. From IT and supply chain to finance and HR, Appian delivers AI automation for every department.
  |  By Appian
"To get real value from AI at scale, you need to put AI in a process," explains Jake Rank, VP of Product at Appian. That's how leading organizations move beyond AI experimentation to automate work, improve efficiency, and deliver measurable business outcomes.
  |  By Appian
Episode 1 of the Serious About Process podcast is live! Insurance pricing has evolved from slow, static updates to fast, dynamic decision-making. But have your systems caught up? In our first episode, host Gijsbert Cox is joined by Catrin Townsend, Director of Education at Price Writers, to discuss: Why pricing is an interconnected system, not just a sequence How legacy systems stifle innovation and frustrate teams The real promise of AI as a workflow partner.
  |  By Appian
When AI operates outside the flow of work, it lacks the context and connectivity needed to drive meaningful business outcomes. Appian innovations over the last quarter are designed to bridge this gap by continuing to make it safe and easy to embed AI directly into end-to-end processes. Join Appian product experts for a deep dive into the latest platform features and see how to use new capabilities in your applications.
  |  By Appian
Get a recap of innovations and product updates from Appian World 2026. Catch up on key announcements and trends, identify use cases, and learn how to apply new features to your processes and applications.
  |  By Appian
"Every great invention takes time to reach its full potential. Just as the light bulb required a system to illuminate the world, artificial intelligence requires the foundation of process to reliably deliver value.".
  |  By Appian
Appian embeds AI in your business processes, turning it into a powerful digital worker with goals, governance, and accountability.
  |  By Appian
It's time to bring AI off the sidelines and into the center of your operations. Appian's latest product innovations deliver enhancements for scaling enterprise data management, automating complex work, and accelerating modernization with AI. Discover Appian’s latest innovations from this quarter's releases.
  |  By Appian
Customer Experience (CX) in healthcare can feel like an afterthought, or not thought of at all. As customers gain further choices across the board about their healthcare options, organizations must respond with a higher standard of service for patients, members, and providers. Healthcare organizations must face CX head-on, ensuring customers receive the service they deserve and representatives have the solutions they need to deliver quality CX.
  |  By Appian
Governments are facing unprecedented levels of uncertainty due to the COVID-19 pandemic. CIOs must identify and act upon digital government strategies and plans that can lead to future positive outcomes regardless of the uncertainty. But what are the biggest factors affecting digital transformation across government? And to what extent has COVID-19 affected digital government efforts?
  |  By Appian
Cutting through the clutter to stand out as a partner to consumers, not just another faceless company, is paramount. As customer behaviors and digital services evolve due to the COVID-19 pandemic, organizations are looking to contact centers and their agents to deliver CX that goes above and beyond in the face of a digitally-driven new normal. Download this CCW Market Study to learn.
  |  By Appian
Are the business automation technologies at your financial institution creating experiences that enable your employees to better-serve and anticipate the needs of your customers, establish human connections, and create stronger customer relationships? Appian partnered with IDG to conduct this market research.
  |  By Appian
Automation has been pushed to the top of the agenda by many organizations, with CIOs having to balance the immediate needs of their organization with a clear eye on the future. Some CIOs are wary of the hype surrounding RPA. But, automation has always encompassed more than one technology, and IT leaders committed to a culture of automation should look to peers for successful strategies that utilize the best available tools.
  |  By Appian
There is ever-growing supply chain disruption and impact across all industries. New disruptors such as COVID-19 are influencing speed of operations and customer demand. Download this ebook to learn how organizations can meet and exceed customer expectations in this uncertain time.

Appian provides a low-code automation platform that accelerates the creation of high-impact business applications. Many of the world’s largest organizations use Appian applications to improve customer experience, achieve operational excellence, and simplify global risk management and compliance.

We help you automate and transform your business by creating new apps from scratch, or by connecting and enhancing legacy applications – all up to 20X faster than traditional development. With Appian, you get the speed of low-code development with the power of intelligent automation in one trusted and unified cloud platform.

Automate complex workflows at the speed of low-code:

  • A fully unified platform delivering the right technology for the right job: Only Appian natively unites all the capabilities required to deliver impactful, end-to-end processes across your organization. Now you can build more powerful apps and dramatically increase productivity.
  • Unify your data into a single interface with zero-code integrations—not migrations: Get the flexibility you need to bring data together from across your organization into a single interface, so action can be taken when and where it’s needed. You control your data. No migration, no lock-ins, and no transaction or storage fees.
  • Develop and deploy up to 20x faster: Drive innovation at unprecedented speeds. We don’t just say it, we guarantee it. Design apps with a mouse click, using reusable components to build quickly. Our apps run even the most mission-critical and complex processes.

One platform. Powerful automation, delivered fast.