Orchestrate AI agents
to run real, end‑to‑end workflows.
Agentic AI at ARGenesis uses coordinated AI agents, powered by LLMs, tools and rules to execute multi‑step processes: fetching data, reasoning, calling models, updating systems and looping with humans, all inside governed, observable pipelines.
Tool‑using · Multi‑step · Human‑in‑the‑loop
Tool‑using · Multi‑step · Human‑in‑the‑loop
Agentic workflow snapshot
1. Intake agent
Capture request, classify, validate context
Tools 2
95%
2. Data agent
Query policy, claims, pricing and documents
Tools 2
92%
3. Reasoning agent
Apply rules, models and business logic
Tools 2
89%
4. Action agent
Update systems, generate outputs, notify humans
Tools 5
86%
Example business output
End‑to‑end FNOL to claims triage workflow runs through coordinated agents, pulling data, checking cover, scoring risk and preparing a human‑ready recommendation with full traceability.
What is Agentic AI?
AI agents that plan, coordinate and act across systems, not just chat.
Agentic AI links large language models with tools, APIs, rules and other agents. Rather than a single model responding to prompts, you get a team of specialised agents that break problems into steps, call the right tools, collaborate and loop with humans until the job is done.
Where we help
- Claims, underwriting and policy servicing journeys.
- Data gathering, reconciliation and enrichment.
- Report, pack and document preparation.
- Multi‑system, human‑in‑the‑loop processes.
How we work
- Map current journeys and decision points.
- Design agent roles, tools and guardrails.
- Implement in GenieLab with full observability.
- Iterate using real feedback and metrics.
ARGenesis capabilities
Agentic architectures grounded in governance and operations.
We design agentic systems that connect to real data sources, pricing and reserving engines, document stores and operational platforms, always within clear governance and risk boundaries.
Multi‑agent design
• Specialised agents for intake, data, reasoning and action.
• Role, goal and capability definitions.
• Collaboration and escalation patterns.
Tool and API integration
• Connect to data warehouses and APIs.
• Invoke ML, pricing and reserving models.
• Trigger downstream systems and workflows.
Orchestration & control
• Centralised coordination of steps and agents.
• Guardrails, timeouts and fallback strategies.
• Human approval for high‑impact actions.
Monitoring & observability
• Full trace of agent messages and tool calls.
• Outcome, latency and error metrics.
• Replay and audit for key journeys.
Safety & governance
• Policy and permission boundaries.
• Data access and redaction controls.
• Alignment with model risk and AI governance.
Integration with GenieLab
• Visual design of agentic workflows.
• Versioning and environment management.
• Rollout, A/B and incremental adoption.
Cross‑industry use cases
Turning slow, manual journeys into coordinated agentic flows.
Insurance
• FNOL to triage to settlement support.
• Underwriting pre‑assessment and pack prep.
• Bordereaux, data and reconciliation agents.
• Regulatory and reporting assistance.
Healthcare
• Patient intake and triage assistance.
• Clinical documentation and coding support.
• Care coordination and follow‑up journeys.
Retail & digital
• Customer service and case resolution.
• Order, inventory and logistics coordination.
• Knowledge base and insight generation.
Education & public sector
• Citizen or student enquiry handling.
• Case management and document prep.
• Grant and application processing support.
Part of the ARGenesis technology framework
Agentic AI is the execution layer for your AI ecosystem.
We position Agentic AI on top of Classic AI, Machine Learning, Deep Learning, GenAI, Agentic AI and strong data engineering, so agents are always powered by trusted logic, models and data.
1. Classic AI & Rule Engines
3. Deep Learning & Transformation
5. Gentic AI (Evolutionary)
7. Applied AI (Industry)
Next steps
Ready to move beyond single‑prompt GenAI?
We can help you identify candidate journeys for agentic automation, design multi‑agent patterns and roll them out safely through GenieLab.