AI for Legacy System Integration: 7 Tools
to Modernize Your Tech Stack
Legacy systems holding you back? These 7 AI-powered tools can help integrate old tech with new:
- Laminar: Low-code platform for visual app development and data flow
- Servicely: AI-driven workflow automation to cut costs
- Adaptigent's Integration Fabric: Real-time legacy data access and integration
- Appian Platform: Rapid app building with AI and process automation
- OutSystems AI Mentor: AI-assisted development and code analysis
- UiPath AI Center: Combines RPA and AI for legacy modernization
- Pega AI and GenAI: AI-powered app creation and workflow optimization
Quick Comparison:
| Tool | Key Benefit | Best For |
|---|---|---|
| Laminar | Visual development | Complex legacy systems |
| Servicely | Cost reduction | Quick ROI seekers |
| Adaptigent | Real-time integration | Mainframe systems |
| Appian | Process excellence | Workflow optimization |
| OutSystems | Code quality | Low-code beginners |
| UiPath | RPA + AI | Existing RPA users |
| Pega | Rapid app creation | Industry-specific needs |
These tools offer faster development, lower costs, and improved performance when modernizing legacy systems. Choose based on your specific needs, budget and timeline.
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1. Laminar
Laminar is a low-code platform that bridges the gap between legacy and modern systems. It's built to simplify and speed up integration.
Here's what Laminar brings to the table:
- Visual Development: Build apps with drag-and-drop, not code.
- Easy Connectivity: Link to databases, APIs, and services without headaches.
- Smooth Data Flow: Move info between old and new systems effortlessly.
Laminar's AI tools are a game-changer. They automate tasks and supercharge data movement. Think faster data entry, auto-generated reports, and quick data analysis. Your team can ditch the manual work and focus on what really matters.
But that's not all. Laminar also offers:
- Ready-to-use templates
- Visual workflow design
- Robust security features
When shopping for a tool like Laminar, ask yourself:
- Is it user-friendly?
- Can it play nice with your current systems?
- Does it have the features you need?
2. Servicely
Servicely is a low-code platform that uses AI to merge legacy systems with modern tech. It's all about making workflow automation easy and smart.
What's Servicely got?
- Sets up in 5-10 days
- Shows results in weeks
- AI that learns from your team
- No-code workflow builder
Here's the big deal: Servicely can slash your service costs by up to 50%. How? By automating up to 60% of those time-sucking repetitive tasks.
Don't just take our word for it:
"Servicely has provided the foundation and the future of digitisation of the company and our workflows." - Pete Foster, CIO, Goodman Telecom Services
"With Servicely we can integrate into our environment and do service desk the way we want to do it, rather than getting locked into a rigid ecosystem." - Brian Levitt, CIO, Horizon House
What can Servicely do? It can:
- Sort IT tickets and manage incidents
- Spot IT issues before they blow up
- Handle simple queries with AI chatbots
- Help HR and finance streamline processes
The kicker? Servicely gets smarter as your team uses it. It learns to predict issues and suggest solutions better over time.
Pro tip: Start with one department, like IT support. See how it works, then roll it out elsewhere.
3. Adaptigent's Integration Fabric
Adaptigent's Integration Fabric connects old systems with new tech. It's a low-code platform that helps companies squeeze more value from their aging but crucial systems.
What's in the box?
- Real-time data access from core systems
- Low-risk integration workflows
- OpenAPI spec support
- Automated project creation
Version 6.5 brings some new goodies:
- YAML support (not just JSON)
- Multiple responses for a single operation
- Better OpenAPI Service Contracts import
- New dynamic client API for Callable Services
So, what's the big deal? Let's break it down:
1. Faster integration
Adaptigent speeds up new project setup. It can auto-create projects from OpenAPI docs. Less manual work, fewer headaches.
2. Beefed-up security
Version 6.5 steps up the security game. It now handles SAF pass tickets and JSON Web Tokens (JWT) for auth.
3. More wiggle room
The new dynamic client API for Callable Services makes big data sets easier to handle.
4. AI joins the party
Adaptigent's Fabric lets you add AI smarts to your mainframe systems. This opens up some cool possibilities:
| Use Case | What It Does |
|---|---|
| Fraud Detection | AI spots fishy transactions in real-time |
| Healthcare Analytics | Crunches big health data for predictions |
| Supply Chain Optimization | AI helps cut costs and improve logistics |
5. Citizen developers get a seat at the table
The low-code interface means non-techies can build apps too. This frees up your IT pros for the heavy lifting.
4. Appian Platform
Appian's low-code platform supercharges legacy system updates and connections. It's not just quick app building - it's making old tech play well with new.
Here's the Appian lowdown:
1. Speed demon
Appian says their tools build critical apps up to 10x faster than traditional coding. How? Visual drag-and-drop. No code lines - just point, click, app.
2. AI for everyone
No data science team needed. Appian's AI Skills let you upload docs and train models for tasks like extraction and classification. It's everyday AI.
3. Legacy system whisperer
Appian's secret? It speaks old-system fluently. The platform offers:
- REST APIs
- SOAP web services
- Database connectors
Connect new apps to old mainframes without the headache.
4. Turbo-charged process automation
Appian mixes AI, low-code, and process automation. This means:
- Visual workflow design
- Repetitive task automation
- End-to-end process optimization
Result? Less manual work, fewer errors, happier staff.
5. Fort Knox security
Appian takes security seriously with:
- Role-based access control
- Data encryption
- Industry standard compliance
Your data stays safe while you modernize.
| Feature | Benefit |
|---|---|
| Visual app builder | 10x faster development |
| AI Skills | Easy AI integration |
| Legacy connectors | Smooth old-tech integration |
| Process automation | Streamlined workflows |
| Built-in security | Data protection & compliance |
Appian isn't just app-building - it's business transformation. By bridging old and new, automating processes, and sprinkling in AI, Appian helps you squeeze more juice from your tech stack.
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5. OutSystems AI Mentor
OutSystems AI Mentor is a powerful tool for legacy system updates. It's like having a team of experts guiding you through modernization.
Here's what makes AI Mentor special:
- AI-powered analysis: It digs into your code, spotting issues early. Think of it as a code detective.
- Tailored mentorship: The system includes specialized mentors:
| Mentor Type | Focus Area |
|---|---|
| Code Mentor | Coding best practices |
| Architecture Mentor | System design |
| Security Mentor | Vulnerability detection |
| Performance Mentor | Speed optimization |
| Maintainability Mentor | Long-term code health |
- Real-world impact: Scott Finkle from McConkey Auction Group saw big wins:
"The biggest value is that it provides a top down analysis of our code base, identifying areas in the architecture where best practices need to be applied. We schedule a dashboard review every week to see the results so we can address the issues identified."
The result? Cleaner code and happier developers.
- Continuous improvement: AI Mentor is always learning and watching. Your legacy system gets smarter over time.
- Data-driven decisions: The AI Mentor Studio collects platform data, giving you a clear view of your system's health. It's like a fitness tracker for your code.
OutSystems AI Mentor turns legacy system updates from a headache into a smooth process. It's not just fixing old code - it's building a bridge to your tech stack's future.
6. UiPath AI Center
UiPath AI Center combines AI and RPA, making it easier to update old systems. It's a hub for building, using, and managing AI models within UiPath's ecosystem.
What does UiPath AI Center offer?
- Pre-built AI models for tasks like document processing
- Drag-and-drop ML models into workflows
- Works with older systems using computer vision
- Custom AI model development and integration
Here's how it's used in the real world:
| Use Case | Description | Benefit |
|---|---|---|
| Customer Service | NLP models sort inquiries | Faster response times |
| Invoice Processing | AI extracts data from invoices | Streamlines accounts payable |
| Service Now Incidents | Text classification for incidents | Improves standardization |
| International Communication | Language translation models | Enables cross-border deals |
UiPath AI Center gets results. A major bank cut loan processing time by 80% using UiPath to automate their workflow.
"Fiserv uses UiPath Apps to build beautiful interfaces for contact center apps—and sees performance skyrocket." - Peter Camp, Founder and CTO, CampTek Software
UiPath's AI and RPA combo offers a practical way to modernize legacy systems without starting from scratch. It helps companies automate complex processes and breathe new life into older tech stacks.
7. Pega AI and GenAI
Pega AI and GenAI are game-changers for legacy system modernization. They combine low-code development with AI-driven automation to transform outdated infrastructure.
Pega GenAI Blueprint, part of the Pega Infinity platform, is where the magic happens. It uses generative AI and industry best practices to supercharge app development. Here's what it can do:
- Create apps from Blueprint files in a flash
- Generate workflows and test data automatically
- Optimize strategies for better efficiency
Using Pega GenAI Blueprint is straightforward:
1. Prep your Blueprint
2. Start a new app in App Studio
3. Upload the Blueprint
4. Set up your app
5. Review and submit
But Pega's AI isn't just about churning out code. It's about creating optimized workflow designs - crucial for legacy system integration. The GenAI engine taps into Pega's industry knowledge to build blueprints with best-practice processes, data models, and integrations.
Check out how Pega's AI stacks up:
| Feature | Pega GenAI Blueprint | Traditional Development |
|---|---|---|
| Development Speed | < 5 minutes for initial app | Days to weeks |
| AI Integration | Built-in | Manual implementation |
| Best Practices | Automatically applied | Depends on developer know-how |
| Collaboration | Real-time stakeholder input | Often siloed |
Pega's AI is all about smart integration. In a recent demo, it auto-populated marketing responses, created test data, and streamlined call wrap-ups. This level of automation can make legacy system upgrades much smoother.
"Pega architects can automatically build new apps using generative AI capabilities in less than five minutes by typing a description of the app."
Pega Infinity 23 works with third-party AI tools like ChatGPT and Bard, letting architects use their own large language models. This flexibility is huge for businesses with specific AI needs or data privacy concerns.
For legacy system modernization, Pega offers:
- Easy-to-use drag-and-drop interface
- High customization options
- Robust security with role-based access control
- Scalability to handle millions of daily transactions
Pega's AI tools are built to decode and understand legacy systems, making modernization a breeze. They don't just update systems - they future-proof them.
Comparison Table
Let's compare the 7 AI tools for legacy system integration:
| Tool | Key Features | Best For | Pricing |
|---|---|---|---|
| Laminar | - Low-code dev - AI automation - Legacy connectors |
Complex legacy systems | Custom |
| Servicely | - AI workflow automation - Self-learning AI - Single data flow |
Quick ROI seekers | Transparent |
| Adaptigent's Integration Fabric | - Real-time integration - Legacy modernization - API management |
Mainframe systems | Quote needed |
| Appian Platform | - Low-code dev - AI/ML modeling - Process automation |
Process excellence focus | Custom |
| OutSystems AI Mentor | - AI-assisted dev - Code analysis - Performance boost |
Low-code newbies | Tiered |
| UiPath AI Center | - RPA integration - AI deployment - AI governance |
Existing RPA users | Quote needed |
| Pega AI and GenAI | - AI-driven app dev - Workflow optimization - Industry blueprints |
Rapid app development | Custom |
Each tool has its strengths. Servicely claims to cut 60% of repetitive tasks and offer a 13x ROI in year one. Appian includes 20,000 pages of document extraction monthly - more than other vendors' free tiers.
When picking a tool, think about:
- Your legacy systems
- AI integration needs
- Team's tech skills
- Budget
- Timeline
Choose wisely based on your specific situation.
Conclusion
AI-powered low-code platforms are changing legacy system integration. They offer a quick, cost-effective way to modernize old tech without starting over.
Why does this matter?
1. Speed
AI-driven low-code solutions cut modernization time drastically. OutSystems' AI accelerators, for instance, auto-generate key components from existing systems.
2. Cost
Updating beats replacing. JP Morgan's AI platform COIN turned 360,000 hours of legal document review into seconds.
3. Performance
AI integration supercharges systems. American Express now uses AI to analyze transactions for better customer retention.
4. Flexibility
Low-code platforms allow incremental updates. This cuts risks and keeps things running during changes.
5. Future-proofing
The legacy modernization tool market is set to hit $36.86 billion by 2027. Staying current is crucial.
Here's the kicker: 70% of Fortune 5000 companies still use 20+ year-old software. Modernizing isn't just smart - it's necessary to stay competitive and efficient.
FAQs
What is a low-code integration platform?
A low-code integration platform makes it easy to connect old systems with new apps. It cuts down on coding when setting up internal workflows.
Key features:
- Visual dashboards for automation
- Pre-built connectors and APIs
- Drag-and-drop interfaces
Gartner says by 2024, 80% of non-IT pros will use low-code tools to develop IT products and services.
| Benefit | Description |
|---|---|
| Speed | Build apps 78% faster than traditional coding |
| Cost | Cut expenses by using existing systems |
| Flexibility | Make small updates without disrupting business |
When picking a low-code platform, look at:
1. How well it works with your current tech
2. Ways to customize it for your needs
3. How it can grow with your business
Keep in mind: Low-code doesn't mean zero coding. Some tech know-how is still useful for tricky setups.
