Advisory & Consulting Services
Krishcon is a product company first — but we also offer focused advisory engagements for P&C carriers and MGAs navigating AI adoption, Guidewire modernisation, and enterprise agentic platform design. All engagements are led by practitioners with 30+ years of insurance technology experience.
AI Readiness Assessment
A structured evaluation of your organisation’s readiness to deploy agentic AI in insurance operations. Covers technology stack, data maturity, team capability, regulatory posture, and integration complexity.
Deliverables include:
- AI maturity scorecard across 5 dimensions
- Gap analysis against industry benchmarks
- Prioritised use case recommendation
- 90-day action plan with resource estimates
- Technology and vendor selection guidance
Typical engagement: 3–4 weeks
Guidewire AI Integration Strategy
For carriers on Guidewire ClaimCenter, PolicyCenter, or BillingCenter planning their AI layer. We design the architecture, define API integration patterns, and create a governance framework for responsible AI deployment within the Guidewire ecosystem.
Deliverables include:
- AI integration architecture blueprint
- Guidewire API and event model mapping
- Data flow and model serving design
- OSFI / DOI compliance framework
- PartnerConnect and Marketplace strategy
Typical engagement: 4–6 weeks
Agentic Platform Architecture
Design of a modular, enterprise-grade agentic AI platform for insurance operations. Covers agent orchestration patterns, memory systems, tool integrations, LLM provider selection, and audit frameworks for regulated environments.
Deliverables include:
- Multi-agent architecture design
- LLM provider and model selection framework
- Integration layer pattern library
- Audit trail and explainability design
- Build vs. buy decision analysis
Typical engagement: 5–8 weeks
Insurance Data & Analytics Assessment
Evaluation of your insurance data infrastructure for AI readiness. Covers claims data quality, policy data completeness, feature engineering feasibility, model training requirements, and analytics platform selection.
Deliverables include:
- Data quality and completeness scorecard
- Feature store design recommendations
- Data pipeline architecture review
- Model training data requirements
- Analytics platform shortlist and criteria
Typical engagement: 3–5 weeks
Claims AI Use Case Development
Co-design and validate AI use cases for your claims operation. From autonomous FNOL triage to intelligent reserve setting and fraud pattern detection — each use case is mapped to measurable KPIs, validated against your data, and designed for phased implementation.
Deliverables include:
- Use case prioritisation matrix (ROI vs complexity)
- Data requirements per use case
- KPI definition and measurement framework
- Implementation phasing roadmap
- Vendor and build option evaluation
Typical engagement: 4–6 weeks
Legacy Transformation Assessment and Implementation
End-to-end advisory for carriers modernising from legacy systems to cloud-native AI-augmented operations. Covers programme structuring, technology selection, change management, integration sequencing, and AI governance framework design.
Deliverables include:
- Programme structure and governance model
- Technology ecosystem design
- Legacy migration and integration strategy
- AI centre of excellence blueprint
- Change management and adoption plan
Typical engagement: 6–18 months (phased delivery); initial scoping and roadmap: 6–8 weeks
All engagements are led by practitioners — not generalists.
Krishcon’s advisory team brings 30+ years of hands-on experience with Guidewire InsuranceSuite, P&C business architecture, and agentic AI system design. We have built the Krishcon platform from this same knowledge — so our advisory is grounded in what actually works in production insurance environments.
Engagements are available on a fixed-fee or time-and-materials basis. Remote and on-site options available. Canadian and US carriers served.