EIS Launches OneSuite with CoreGentic, Bringing AI, Agentic Orchestration, and Natural Language to Insurance

EIS Unveils Eis OneSuite™ Powered by CoreGentic™, Embedding AI, Agentic Orchestration, and Natural Language at the Heart of Insurance

EIS has introduced Eis OneSuite™ powered by CoreGentic™ to place AI, agentic orchestration, and natural language at the center of core insurance operations. For carriers, this signals a shift from standalone pilots to AI woven into policy, billing, claims, and service. The result: faster decisions, leaner processes, and measurable gains across the value chain.

What agentic orchestration means for carriers

• Underwriting: Multi-agent workflows gather third-party data, score risk, and draft referrals in plain language for underwriter approval.
• Claims: Agents coordinate FNOL intake, coverage checks, fraud indicators, and vendor dispatch with auditable steps.
• Customer service: Natural-language copilots surface account context, suggest next best actions, and summarize conversations.
• Distribution: Automated intake converts broker emails and documents into structured submissions and quotes.
• IT and operations: Central orchestration manages prompts, policies, tools, and fallbacks across models and systems.

Natural language as the interface

Teams work in everyday language across policy admin, billing, and claims. Requests like "Quote a mid-market GL renewal with 10% exposure growth and prior losses attached" can trigger secure, step-by-step workflows. Every decision is logged and explainable to meet audit and regulatory needs.

Architecture snapshot

• Event-centric APIs that connect to core systems, data lakes, and vendor platforms.
• Model-agnostic layer to route tasks to the best model or tool with clear fallbacks.
• Prompt, data, and secret management with role-based access and segregation of duties.
• Observability: traces, tokens, cost, latency, drift, and outcome quality monitoring.
• Governance: policy controls, red-teaming, and bias checks mapped to frameworks like the NIST AI RMF.

High-value use cases to prioritize

• Submission triage and enrichment for commercial lines.
• Claims intake, coverage interpretation, and triage to the right channel.
• Document understanding for endorsements, bordereaux, and compliance artifacts.
• Fraud signals from text, images, and behavioral patterns with human review.
• Servicing copilots for billing, payments, and policy inquiries.

Metrics that matter

• Cycle time: quote turnaround, FNOL-to-triage, and settlement duration.
• Straight-through rates: endorsements, billing adjustments, low-complex claim paths.
• Quality: leakage reduction, audit exceptions, referral precision, and false positives.
• Experience: NPS, first-contact resolution, and average handle time.
• Unit economics: cost per claim, cost per quote, and revenue per submission.

90-day implementation plan

• Weeks 1-2: Select one high-friction workflow with clear KPIs and low integration risk.
• Weeks 3-4: Map events, systems, and data; define prompts, guardrails, and human sign-offs.
• Weeks 5-8: Integrate CoreGentic™ agents with core systems; set up monitoring and analytics.
• Weeks 9-10: Pilot with a small user group; compare outcomes to baseline.
• Weeks 11-12: Tighten controls, refine prompts, and prepare a rollout plan.

Data, security, and compliance

• PII control: classify, mask, and minimize; enforce data residency and retention policies.
• Risk controls: prompts with content filters, input validation, and tool permissioning.
• Human-in-the-loop: clear thresholds for auto-approve vs. review.
• Auditability: decision logs, rationale summaries, and versioned prompts.
• Model governance: vendor due diligence, red-team tests, bias checks, and rollback plans.

Questions to press your vendor on

• Security: encryption, key management, SOC 2/ISO certifications, and data residency options.
• Controls: prompt injection defenses, output filtering, and safe tool use.
• Ops: latency budgets, rate limits, cost ceilings, and multi-model routing.
• Explainability: how decisions are summarized, stored, and audited.
• Extensibility: connectors, SDKs, and ability to bring your own models.

Change management and adoption

• Pick one champion per function; define success criteria users care about.
• Train on prompts, review steps, and exception handling before go-live.
• Pair every new workflow with a clear operating procedure and rollback path.
• Publish a weekly scorecard with wins, misses, and next fixes.

Upskilling your teams

Underwriters, claims leaders, and operations analysts benefit from short, job-focused AI training. For structured learning paths by role, see Complete AI Training: Courses by Job.

Expected business outcomes

• Lower expense ratio through higher straight-through processing and fewer handoffs.
• Better loss ratio via faster triage, improved fraud checks, and consistent referrals.
• Higher broker and customer satisfaction with shorter cycles and clearer updates.
• Improved employee experience through less manual data entry and cleaner workflows.

Getting started checklist

• Executive sponsor and a single, valuable use case.
• Sandbox with sample data, event map, and integration plan.
• Security and compliance review before user testing.
• Baseline metrics and a target improvement range.
• Training, support channel, and an iteration cadence post-launch.

Eis OneSuite™ with CoreGentic™ brings AI, agentic orchestration, and natural language into everyday insurance work. Focus on one workflow, prove the value, secure the controls, and scale with confidence.