AI Agent Development
Your teams are doing work that AI agents can handle easily. We build and deploy AI agents that act, decide, and deliver.
Trusted by Enterprises in 30+ Countries
Most teams have tried to automate the repetitive work. Some of it works. Most of it doesn't last. Classic Informatics builds AI agents that don't just follow a fixed script — they understand context, handle variation, and know when to escalate. Connected to your existing tools and data, they take on the work your team shouldn't have to do manually every day.
OUR SERVICES
AI Agent Development Services We Deliver
Agentic Workflow Automation
We build agentic AI systems that handle multi-step workflows — reasoning, deciding, and acting without waiting for human input.
Document
Processing
We build agents that handle document processing at scale — extracting, classifying, and acting on unstructured content without manual review.
Multi-Agent
Orchestration
We design multi-agent systems where specialized AI agents collaborate, delegate, and hand off tasks across your operations.
OUR SOLUTIONS
Our Agentic AI Solutions
Insurance Claims Intake Agents
Medical Records & Prior Auth Agents
Production Monitoring
Agents
Customer Support
Agents
Internal Workflow Orchestration Agents
Compliance Monitoring
Agents
OUR SERVICES
Building future-ready digital products & platforms
AI and Machine Learning
Core Capabilities:
- Machine Learning & Predictive AI
- Conversational AI
- Generative & Agentic AI
- Intelligent Automation
Data and Analytics
Core Capabilities:
- Data Engineering
- Data Warehousing
- Business Intelligence
- Advanced Analytics & Insights
Digital and Platform Modernization
Core Capabilities:
- Digital Transformation
- Legacy System Modernization
- Cloud & Platform Enablement
- System Integration
Software and Product Engineering
Core Capabilities:
- MVP Development
- End-to-end product development
- Custom software development
- Frontend & UX Engineering
OUR PROCESS
How We Implement AI Agents
Our Approach
We identify which processes are genuinely worth automating — mapping volume, variability, and business impact before scoping the agent's objectives, decision authority, and boundary conditions. Nothing gets built until the right use case is confirmed.
Key Activities:
- Process mapping and automation opportunity assessment
- Agent objective and decision scope definition
- Integration surface and data access audit
- Success metric and ROI baseline setting
Our Approach
We design the agent's reasoning structure, tool connections, and escalation logic based on your specific workflow. Every intelligent agent has defined boundaries — how it handles ambiguity, when it escalates, and how every decision gets logged.
Key Activities:
- Agent reasoning and task planning design
- Tool and API integration mapping
- Escalation and human-in-the-loop logic design
- Memory and context management strategy
Our Approach
Our custom AI agent development process connects agents to your actual systems in structured phases, validating each integration point before moving forward. AI agents for enterprise must work reliably in real environments — not just controlled sandboxes.
Key Activities:
- Agent development and tool integration
- LLM and model selection and configuration
- CRM, ERP, and internal system connectivity
- Authentication and access control implementation
Our Approach
We put agents through adversarial testing — edge cases, unexpected inputs, data gaps — before they touch production workflows. Every agent is validated against real business scenarios, not synthetic benchmarks, so failures surface before go-live.
Key Activities:
- Functional and edge-case testing
- Accuracy and decision quality validation
- Failure mode and fallback testing
- Human review and audit trail verification
Our Approach
We deploy agents with full observability in place — monitoring, alerting, and audit logging set up before go-live. Your team gets complete ownership and visibility into every decision the agent makes from day one.
Key Activities:
- Production deployment and rollout management
- Agent monitoring and observability setup
- Performance tuning and feedback loop integration
- Engineering team knowledge transfer and documentation
Our Approach
We identify which processes are genuinely worth automating — mapping volume, variability, and business impact before scoping the agent's objectives, decision authority, and boundary conditions. Nothing gets built until the right use case is confirmed.
Key Activities:
- Process mapping and automation opportunity assessment
- Agent objective and decision scope definition
- Integration surface and data access audit
- Success metric and ROI baseline setting
Our Approach
We design the agent's reasoning structure, tool connections, and escalation logic based on your specific workflow. Every intelligent agent has defined boundaries — how it handles ambiguity, when it escalates, and how every decision gets logged.
Key Activities:
- Agent reasoning and task planning design
- Tool and API integration mapping
- Escalation and human-in-the-loop logic design
- Memory and context management strategy
Our Approach
Our custom AI agent development process connects agents to your actual systems in structured phases, validating each integration point before moving forward. AI agents for enterprise must work reliably in real environments — not just controlled sandboxes.
Key Activities:
- Agent development and tool integration
- LLM and model selection and configuration
- CRM, ERP, and internal system connectivity
- Authentication and access control implementation
Our Approach
We put agents through adversarial testing — edge cases, unexpected inputs, data gaps — before they touch production workflows. Every agent is validated against real business scenarios, not synthetic benchmarks, so failures surface before go-live.
Key Activities:
- Functional and edge-case testing
- Accuracy and decision quality validation
- Failure mode and fallback testing
- Human review and audit trail verification
Our Approach
We deploy agents with full observability in place — monitoring, alerting, and audit logging set up before go-live. Your team gets complete ownership and visibility into every decision the agent makes from day one.
Key Activities:
- Production deployment and rollout management
- Agent monitoring and observability setup
- Performance tuning and feedback loop integration
- Engineering team knowledge transfer and documentation
Have a Process That Should Be Running Itself?
We'll map the workflow and scope the right agent for it.
WHY IT MATTERS
Benefits of AI Agents
Work That Runs Overnight
Fewer Manual Handoffs
Consistent Decisions
Scales Without Headcount
Faster Operations
Lower Operational Risk
Latest Case Studies
-
PRODUCT DEVELOPMENT MEAN STACK FINANCEInsights-driven Online Platform For ASX Listed Companies
Survey-based web & mobile application catering to the financial market research sector.
Read Full Case Study → -
DATA ANALYTICS POWERBI HEALTHCAREDashboard & BI Application For a Leading Dental Care Provider
We developed a complete Business Intelligence App with Textual and Visual Reporting.
Read Full Case Study → -
PRODUCT DEVELOPMENT SCALA LOGISTICSIntegrated Online System That Simplifies Logistics
We offered end-to-end development & integration of an interactive platform for carrier management.
Read Full Case Study → -
PRODUCT DEVELOPMENT MERN STACK TRAVELInteractive Digital Platform For Guided Trip Planning
We built an impressive digital platform to bring travelers and travel experts together, under one platform.
Read Full Case Study → -
PRODUCT DEVELOPMENT MERN STACK REAL ESTATECentralized Property Management Platform For UK Real Estate Market
We built an all-in-one platform for three type of users- landlords, tenants, and contractors.
Read Full Case Study →
TESTIMONIALS
Businesses Worldwide Trust Classic Informatics
-
★ ★ ★ ★ ★Their support helped us speed up development, expand global partnerships, and set up a cost-friendly cloud infrastructure for the future.
David McLean CEO, Hubbed -
★ ★ ★ ★ ★The API was deployed on schedule, collection revenue improved, and reporting got better. Their understanding of our requirements was exemplary.
Mohamed Tholley Standard Chartered Bank -
★ ★ ★ ★ ★Classic Informatics built and modernized our loan workflow platform, maintaining the same team across three years — critical for a product of this complexity.
Soren Scheibye Co-Founder, UdenomBanken -
★ ★ ★ ★ ★Everyone is professional, friendly, and diligent. Even in hectic times, work is always completed reliably — often after hours without complaint.
Daniel Hoffmann Founder, FAMILIARA GmbH -
★ ★ ★ ★ ★They delivered a seamless product with great code — organised, solution-oriented, and always willing to work through any problem.
David Englestien Director, Bloonaway -
★ ★ ★ ★ ★Always timely, highly communicative, and capable of taking on any kind and size of project — an unparalleled level of service.
Francesco De Conto Co-Founder, Kashew -
★ ★ ★ ★ ★Their skill set is unmatched — developers available for any requirement. We grew from 3 to 12 locations thanks to their work.
Software Manager, ParkCo Inc. -
★ ★ ★ ★ ★They're contributors and partners, not just vendors — bringing expertise and suggestions beyond the scope of work. Our product launch was a success.
Sonika Mehta Co-Founder, Zonka Feedback
PARTNER WITH US
Why Classic Informatics?
Value Beyond Code
Real-time data and modern systems give your teams the visibility to act.
Deep Tech Expertise
20+ years across legacy, data, and AI — the hard problems aren't new to us.
Built for Growth
We align every solution to your business goals, not just your tech stack.
Reliable Delivery
Expert teams who move fast, communicate clearly, and deliver on time.
AI-First Approach
Every solution we build is designed with AI in mind, from architecture to delivery.
Complete Transparency
You know what we're building, why, and what it costs — at every stage.
FAQS
Frequently Asked Questions
Ready for AI Agents That Actually Run Your Workflows?
We scope, build, and deploy — end to end.