Agent Design
AI Agent Architecture & Design
Before building, we design. We scope the agent's task boundaries, tool permissions, escalation logic, memory architecture, and output format — ensuring the agent behaves predictably in production, not just in demos.
→ Agent scope definition and boundary setting
→ Tool and API integration design (RAG, web search, databases)
→ Memory architecture: short-term context vs long-term recall
→ Multi-agent orchestration patterns (supervisor, parallel, sequential)
→ Failure mode analysis and graceful degradation design
→ Prompt engineering and output schema design
Agent Design SpecArchitecture DiagramPrompt Library
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Document Intelligence
Document Processing & Extraction Agents
Unstructured data is the core problem in specialty insurance. Slips, endorsements, schedules, binders, loss runs, and survey reports — we build agents that read them accurately, extract the fields that matter, and structure the output for downstream systems.
→ PDF, DOCX, image and scanned document ingestion
→ Custom field extraction against your schema or taxonomy
→ Normalisation and validation against reference data
→ Confidence scoring and HITL routing for uncertain extractions
→ Lloyd's CDR / MRC v3 field mapping
→ Batch processing with full audit trails
Extraction AgentSchema DesignAccuracy Report
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Decision Automation
Underwriting & Triage Agents
From initial submission triage to renewal assessment, we build agents that apply your underwriting logic, flag exceptions, score risk signals, and route submissions — reducing decision latency while keeping underwriters in control of the outputs that matter.
→ Submission classification and priority scoring
→ Appetite screening against underwriting guidelines
→ Data enrichment from internal and external sources
→ Risk signal detection and exception flagging
→ Renewal comparison and change detection
→ Referral routing with structured reason codes
Triage AgentRouting LogicUnderwriter UI
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Claims Intelligence
Claims Processing & Analysis Agents
Claims data is voluminous, inconsistently structured, and legally sensitive. We build agents that read claim files, extract key facts, check policy coverage, identify anomalies, and generate handler briefings — turning hours of file review into minutes.
→ FNOL processing and initial coverage check
→ Policy vs claim fact pattern comparison
→ Claims classification and categorisation at scale
→ Anomaly and fraud signal detection
→ Handler briefing generation with source citations
→ Reserve adequacy signal flagging
Claims AgentCoverage LogicHandler Dashboard
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Integration & Deployment
Agent Integration & API Development
Agents are only useful when they connect to the systems people actually use. We build the API layers, webhook handlers, and integration connectors that embed agents into existing platforms — Guidewire, Sequel, OPUS, Duck Creek, broker portals, and custom systems.
→ REST API development and secure endpoint design
→ Policy administration system integration
→ ACORD XML / CSIO data standard handling
→ Webhook and event-driven pipeline construction
→ SSO and identity management integration
→ Deployment in Azure, AWS or on-premise environments
Integration PackageAPI DocumentationDeployment Guide
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Knowledge Management
RAG Knowledge Bases & Enterprise Search
We build retrieval-augmented generation systems that give agents and users accurate, source-cited answers from your internal document corpus — policy wordings, market guidelines, regulatory notices, technical bulletins, and institutional knowledge.
→ Document corpus ingestion, chunking and embedding
→ Vector database setup and semantic search configuration
→ Retrieval pipeline optimisation (hybrid search, reranking)
→ Citation and source attribution on every answer
→ Freshness management and document lifecycle handling
→ Access control and data residency compliance
RAG SystemSearch InterfaceMaintenance Runbook
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