Agentic AI for Risk & Automation
Stop just predicting what might happen. Let us build autonomous agents that actively reason, plan, and execute complex tasks to solve your problems.
Is This Your Challenge?
Your business generates vast amounts of data, but making sense of it requires specialized expertise and countless manual hours. Traditional analytics tell you what happened, but you need systems that can actively investigate, reason about, and respond to complex situations.
Common Challenges:
- Risk Assessment: Need to evaluate risk across thousands of scenarios, but manual review is too slow and expensive
- Research Automation: Spend hours researching public information that could be automated
- Complex Workflows: Multi-step processes that require human expertise but are repetitive
- Data Overload: Too much information to process manually, but need expert-level analysis
Our Solution: Autonomous AI Agents
INM Consulting designs and deploys Agentic AI systems that can autonomously reason, plan multi-step workflows, use external tools, and make expert-level decisions based on your specific domain knowledge.
Workflow Analysis & Design
We analyze your current manual processes to understand the reasoning, decision points, and data sources involved. We then design an agent architecture that can autonomously execute these workflows.
Agent Development & Training
Using frontier LLMs (GPT-4, Gemini, Claude) as the reasoning engine, we build custom agents with access to your proprietary data, APIs, and tools. We fine-tune on your domain-specific examples.
Deployment & Monitoring
We deploy the agent as a robust, scalable API integrated with your existing systems. We implement monitoring, evaluation metrics, and continuous improvement loops.
Agent Capabilities
🧠 Multi-step Reasoning
Agents can break down complex problems, reason through multiple steps, and adjust their approach based on intermediate results.
🔧 Tool Use
Call APIs, query databases, search the web, execute code, and use any tools necessary to complete their task.
📊 Data Integration
Access and reason about your proprietary data, combining internal knowledge with external information sources.
🎯 Domain Expertise
Fine-tuned on your specific domain to understand industry terminology, regulations, and best practices.
Real-World Applications
🏢 Insurance Underwriting
Challenge: Manual risk assessment takes hours per application
Solution: Agent autonomously researches public data, queries internal databases, and provides risk scores with reasoning
Impact: 80% faster underwriting, consistent quality
🔬 Research Automation
Challenge: Scientists spend weeks reviewing literature
Solution: Agent searches databases, extracts relevant findings, synthesizes information, and generates research summaries
Impact: 70% reduction in research time
⚖️ Compliance Monitoring
Challenge: Tracking regulatory changes across jurisdictions
Solution: Agent monitors regulatory sources, identifies relevant changes, assesses impact, and alerts stakeholders
Impact: Proactive compliance, reduced risk
Technical Architecture
Foundation Models
- GPT-4, GPT-4o
- Claude 3.5 Sonnet
- Gemini Pro
- Custom fine-tuned models
Agent Frameworks
- LangChain / LangGraph
- Custom agent architectures
- Tool calling & function execution
- Memory & context management
Infrastructure
- Python backend services
- Vector databases (Pinecone, Weaviate)
- Cloud deployment (AWS, GCP)
- Monitoring & logging
Example: Research Automation
Agentic AI systems excel at automating complex research workflows that traditionally required human expertise.
Example Application: An agent that autonomously researches public data sources, queries internal databases, synthesizes information, and generates comprehensive reports—completing in minutes what would take hours manually.
Key Capabilities: Multi-step reasoning, tool orchestration, information synthesis, and evidence-based decision making.
Ready to Deploy Autonomous AI?
Let's discuss how agentic AI can automate your complex workflows and transform your operations.