Automation has long been a key driver of efficiency. Traditional RPA and IDP technology promised to relieve carriers from rekeying, extracting data from forms, and other repetitive tasks. At Appian, we saw early that automation in isolation doesn't achieve transformative outcomes.
Why? Because AI has too often been deployed at the edges of workflows: copilots, chatbots, or analytics dashboards that assist us when prompted. While these sound innovative, they often act more like spectators than participants in mission-critical workflows.
Appian is a process-first company. And from the start, we’ve helped insurers go beyond disconnected bots, orchestrating RPA and IDP at the center of end-to-end workflows. Whether accelerating claims intake, improving customer service, or supporting underwriting triage, our approach has always delivered results because every automation worked inside of a business-critical process.
The insurance industry isn’t just data-rich, it’s process-complex, regulation-bound, and risk-sensitive. From underwriting to claims and brokers to beneficiaries, success depends on speed and control. That’s why generic AI platforms fail to deliver results.
Insurance needs AI that:
Meets regulatory compliance requirements (HIPAA, GDPR, etc.)
Works inside of your existing processes
Interacts with legacy systems and siloed data
Can be audited, tracked, and governed
Adapts across lines of business (P&C, Life, Group, Specialty)
A new paradigm is emerging, agentic workflows, where AI agents are assigned responsibilities within structured, auditable, and governed processes. At Appian, this model comes to life through our unique combination of AI, data fabric, and process orchestration—providing the agility and accuracy needed l in industries like insurance.
AI isn’t just a tool anymore. It’s a digital coworker.
Appian transforms AI from disconnected initiatives into real, repeatable impact within insurance operations. Our platform acts as an agility layer that provides the foundation for your processes. It connects data, people, systems, and AI agents across core functions like underwriting, claims, servicing, and compliance. And we follow proven AI design patterns to ensure every deployment is purposeful, governed, and secure.
Design patterns are methodologies used to solve recurring problems in building and implementing AI solutions. They serve as best-practice frameworks, helping teams create models and processes that are reliable, scalable, and easy to maintain.
In addition to being built on our enterprise-grade platform, Appian AI follows five design patterns for safe and effective use:
AI gets triggered by business context, not by manual input.
Using Appian’s workflow orchestration, AI agents are invoked based on triggers in the process: a new claim intake, an underwriting submission, or a service request. This ensures AI is always in sync with business intent, not waiting passively for a prompt.
Outcome: Faster response times and improved efficiency.
AI performs better when it understands the full picture.
Appian’s data fabric connects siloed systems into a unified data model—policy, claims, third-party data, documents accessible in real-time. AI doesn’t just "see" one data point; it acts with full situational awareness.
Outcome: Enhanced accuracy and reduced risk.
AI recommends, humans validate.
For sensitive decisions, AI supports, but doesn’t replace, the human expert. Appian provides built-in audit trails, role-based access control, and task routing.
Outcome: Ensured compliance, transparency, and trust.
AI improves over time.
Each AI decision becomes part of a feedback loop. Appian allows organizations to measure, monitor, and fine-tune AI performance across workflows. It’s not a black box, it’s a dashboard of improvement.
Outcome: Ongoing optimization and better performance.
Build once. Apply anywhere.
With Appian’s AI skills, organizations can train once and reuse across multiple workflows. Document classification, summarization, entity extraction, every skill is modular, governed, and reusable, accelerating time to value.
Outcome: Faster deployment and reduced development costs.
Let’s break down what it looks like in practice when AI is deployed at the heart of business processes.
Instead of sifting through emails, Appian AI classifies submissions, extracts key data, and recommends a risk score, so underwriters focus on decisions, not busywork.
Outcome: Faster underwriting, reduced costs, and improved risk assessment.
A policyholder submits damage photos, loss and run forms, and unstructured documentation. AI extracts key info, checks policy limits, and assigns the right adjuster automatically and in seconds.
Outcome: Quicker claim settlement and increased customer satisfaction.
A request to change a beneficiary is received. AI verifies identity docs, compares them with policy data, and flags mismatches to ensure security and speed.
Outcome: Enhanced security and faster service times.
Appian has been a leader in process automation for over 25 years. Today, we bring AI directly into the heart of enterprise operations: secure, scalable, and embedded. From prebuilt AI skills to process patterns that accelerate time-to-value, Appian isn’t just AI-ready. We’re AI-designed.
Don’t let AI sit on the sidelines.
Bring it into the game.
If you're ready to move beyond AI experiments, Appian provides the agility and intelligence needed to create enterprise-wide AI value within the guardrails of your processes.