Insurance Capability Map: AI-Ready | Capstera

The Insurance Capability Model describes what insurers do as 9 L1, 49 L2 and 221 L3 capabilities, defined to L3 with 196 KPIs at L2. It covers the work insurers share, from products, pricing and producers to underwriting, policy administration, claims, fraud, actuarial work, reinsurance and capital, and three segments sit inside it: Health Insurance, Life Insurance and Annuities, and Property and Casualty Insurance, each tagged in a Segment column so you can filter the model to your own. Every L2 capability carries an AI profile and a place in a prioritization model you weight yourself. Business and enterprise architects load it into the Capstera platform with the import files, or let their AI assistants query it through MCP.

What the Insurance Capability Model Is

The model describes an insurer by the work it does, not by the systems it runs or the way its organization chart is drawn. Its 9 L1 capabilities are insurance product and pricing management; distribution and producer management; underwriting and risk selection; policy administration and billing; claims management; insurance fraud and special investigations; actuarial and reinsurance management; insurance capital and investment management; and, for health plans, health plan network and medical management. They break down into 49 L2 and 221 L3 capabilities, each defined to L3, with 196 KPIs at L2 and stable IDs you can cite in a program plan, a business case or a vendor scorecard.

The three segments are part of the same structure, not separate models. Health Insurance adds group health underwriting and renewal, member enrollment and eligibility, health claim adjudication and payment integrity, and risk adjustment, and it has an L1 of its own for provider networks, utilization management, care and disease management, pharmacy benefits and value-based contracts. Life Insurance and Annuities adds life new business and underwriting evidence, in-force policy services, annuity administration and payout, benefit claims for life, annuity and disability income, and mortality and longevity risk. Property and Casualty Insurance adds personal lines and commercial and specialty lines underwriting, property and auto claims, liability claims, and catastrophe and accumulation management. Each segment capability carries its segment in the workbook, so a life insurer filters to the shared work plus its own and sets the rest aside. Finance, people, technology and the other work every large enterprise does stay in the enterprise capability model and are not repeated here.

Names and definitions are where a plain capability map ends. This edition adds an AI profile for every L2 capability: the opportunities, the work that stays human, KPIs and AI measures, prerequisites, risks and workforce impact. Every L3 is rated for work pattern, target AI mode, AI fit and risk tier, so the whole model can be drawn as one heatmap and ranked by a risk-adjusted score. The claim intake and triage profile in the public sample shows the split this produces: AI may take in a claim from any channel, find the policy it falls under and score its complexity under approved triage rules, while the Chief Claims Officer approves those rules and the Head of Special Investigations approves the fraud referral thresholds the intake score applies.

The Problem It Solves

Insurers are usually described in the vocabulary of their systems: the policy administration system, the rating engine, the claims system, the billing system. A group that writes health, life and property and casualty business has a second problem, because underwriting, servicing and claims look different in each line, and each business tends to keep its own map. AI proposals then arrive line by line and system by system, judged one at a time, with no shared way to compare them or to see which decisions they touch.

One model for the whole group keeps the segments distinct. The shared capabilities hold the work every insurer does, the segment capabilities hold what only one line does, and each capability already states the AI mode it suits, the oversight it needs and the risk it carries. Decisions about automation in underwriting, claims, fraud, care authorization and policy servicing, where a wrong call can decline a sound applicant, underpay a claim or end someone's coverage, are then made against criteria set in advance instead of case by case.

What's Inside

The Capability Model edition holds the model, its AI layer and the files to work with them:

• 9 L1, 49 L2 and 221 L3 insurance capabilities, with definitions to L3 and 196 KPIs at L2
• A full AI profile for every L2 capability: opportunities, what stays human, KPIs, AI measures, prerequisites, risks and workforce impact
• AI ratings for every L3: work pattern, target AI mode, AI fit and risk tier
• A prioritization model with a risk-adjusted score and rank for every L2 capability, using your own ratings and weights
• An AI heatmap of the whole model
• A 40-question weighted AI readiness assessment
• A Welcome document, the capability map deck, standalone capability definitions and KPIs documents, the Excel workbook, the user guide, and import files for the Capstera platform
• Bonus files: an insurance glossary, A Practical Guide to Business Architecture, a capability modeling overview, an AI-ready capability profile template and capability relationship mapping templates
• Free corrections, new versions free for 180 days, and MCP access for your AI assistants for the same 180 days

Every file names your organization and carries your license ID. Ratings describe a typical large enterprise and are a starting point for your own.

Use Cases

AI opportunity assessment across lines of business. Rate the 49 L2 capabilities with your own scores and weights, for the shared work and for each segment you write. The ranked results show which AI investments serve the whole group and which belong to the health plan, the life and annuity business or the property and casualty business.

Setting oversight for underwriting, claims and care decisions. Use the oversight level and risk tier in each profile as the starting point for deciding where AI may act and where a person decides. The capabilities that decide applications, claims, care authorizations and cancellations carry the ratings that tell a governance group where to look first.

Rationalizing applications across lines. Map each line's policy administration, rating, billing and claims applications to the L3 capabilities they support to find duplicate systems, gaps and work carried by spreadsheets nobody owns. The capability IDs give one key across businesses that bought their systems at different times.

Integrating an acquired insurer or book of business. Map the acquired company's operations to the shared capabilities and to its segment before the integration plan is written. The overlap shows what can be combined, and the segment capabilities show what has to be kept because the acquired business writes different lines.

Scoping a software evaluation. Before evaluating policy administration, claims, underwriting or care management software, mark the capabilities the purchase must support, including segment ones such as annuity payout or catastrophe accumulation. Vendor answers are then scored against named capabilities and their KPIs instead of feature lists.

A capability-based operations plan. Sequence an operations or AI program by capability instead of by system, using the prioritization model and the readiness assessment. Each step names the capabilities it changes, so progress is reported in terms that operations, actuarial, risk and business heads all recognize.

Who Uses It

Business and enterprise architects. Use the model as the reference structure for insurance work, tailor it to the organization's lines of business and segments, and link applications, processes and initiatives to its capabilities.

Chief operating officers and heads of insurance operations. Use the AI profiles and the heatmap to see which operations are ready for AI support and which decisions stay with named people.

Underwriting, claims, distribution and policy administration leaders. Check the profiles for their own areas, set oversight levels that match how they run underwriting referrals, claim handling and policy servicing, and adjust the ratings to their operations.

Actuarial, reinsurance, capital and investment leaders. Review the risk tiers and the work that stays human in pricing, reserving, reinsurance and capital, and confirm who signs off each estimate and each model before any AI work starts.

Health plan network, medical management and pharmacy leaders. Review the health segment's profiles and confirm that care authorization, provider admission and drug coverage decisions stay with the people named for them.

Transformation leaders. Use the ranked capabilities to choose where a program starts and to explain that choice to business and risk leadership.

Build It, Hire It, or Start Here

An insurer can get a capability model in three ways, and they differ most in how long it takes to reach a first draft that every line of business and the actuarial and risk functions accept.

• Building it from a blank slate. Architects run workshops with each line of business, gather what people do, reconcile the vocabularies of health, life and property and casualty teams, and draft definitions and KPIs. The result fits the organization, but the structure takes several review cycles to settle, and the AI layer is still to design.
• Hiring consultants to build it. Consultants bring a method and often a starting structure of their own, and run the elicitation for you. Much of the effort goes into drafting structure that is much the same at every insurer, and the result is a document your team did not build and has to learn.
• Starting from this model. Your team starts with a defined, rated model of the shared work and the three segments, sets aside the segments it does not write, and spends its workshops on what is different about its own business. The first review is about your organization, not about what a capability model is.

Outside consultants remain useful once the model is in hand: tailoring it to your lines of business, running the prioritization with your leadership and planning the change. That work needs knowledge of your organization; drafting an insurer's capability list from nothing does not.

How to Get Started

These steps take a team from the download to a ranked list of where AI work starts:

1. Read the Welcome document and the user guide to see how the model, the AI profiles and the workbook fit together.
2. Filter the workbook's Segment column to the shared capabilities plus the segments your organization writes.
3. Review the definitions and KPIs with underwriting, claims, actuarial and operations leaders and record where your organization differs.
4. Adjust the AI ratings and the weights in the prioritization model to reflect your own lines of business and priorities.
5. Run the readiness assessment, then use the ranked results and the heatmap to choose where AI work starts.

Read the Public Sample

The sample follows one thread through the package, claim intake and triage, and is 0.63% of the content. From the Claim Intake and Triage (IN-5.1) AI profile:

• Work patterns: Transactional processing, Rules-based decision, Coordination & orchestration
• Target AI mode: Automate
• Human oversight: Human-on-the-loop
• AI fit / Value / Feasibility / Data readiness: 4 / 4 / 4 / 3 (1–5)
• Risk tier: Moderate
• Roadmap wave: Wave 1
• AI opportunity: Take in claims from phone notes, web forms, email and producers, extract who is claiming, what happened and when, and open the claim record
• What stays human: The Chief Claims Officer approves the claims handling rules, including the triage scores, fast-track criteria and authority levels the assignment applies, prepared by the Claims Manager after hearing the Chief Actuary; no triage rule changes inside this capability

The preview above shows more of the profile, the AI heatmap, an agent card and a value stream stage redesigned for AI. Any MCP client can also query the sample at https://platform.capstera.com/api/mcp/blueprints?package=in without a key.

Connect Your AI Assistant

Your license includes access to the package through MCP (Model Context Protocol). Connect an MCP-capable AI assistant or your own agents, and they look up your licensed content as they work: one capability, agent or control at a time, scoped to your edition and stamped with your license ID. The key arrives with your order confirmation, and access runs for the 180 days in which new versions are free. Setup and limits: AI-ready license and MCP access.

Upgrade Credit

Start here and move up later: the full price of this edition counts toward the Business Architecture for Insurance: AI Transformation Blueprint if you upgrade within 90 days. Email support@capstera.com with your order number for a one-time checkout code.

Frequently Asked Questions

What is the difference between the two editions?

The AI-Ready Capability Model covers the capability map, an AI profile for every L2 capability, prioritization, the heatmap and the readiness assessment. The AI Transformation Blueprint adds value streams redesigned for AI, the business data model, agent specifications, use cases, responsible AI principles and controls, the operating model and the roadmap, a leadership presentation template, and bonus files on roles, operating model archetypes and transformation.

Can I upgrade from the Capability Model to the Blueprint later?

Yes. The full price you paid for the Capability Model counts toward the Blueprint if you upgrade within 90 days. Email support@capstera.com with your order number for a one-time checkout code.

What happens after 180 days?

Your license to use the files does not end. Corrections are free for as long as you use the files. New versions released within 180 days of purchase are free, and MCP access runs for the same 180 days. There is no renewal after that: you can buy a new version at 25% off its price. Orders placed before October 27, 2026 keep the 12 months they were sold with.

Can I load the content into our own AI tools?

Yes, within the license. The Enterprise license allows internal tools, including your own assistants and agents. Neither license allows training, fine-tuning or prompting AI systems for third parties.

Does the package cover AI laws and regulations?

No, by design. It is business architecture: capabilities, value streams, data and the AI layer describe what an insurer does and how AI fits, and they hold whichever laws apply where you operate. The risk tiers, principles and controls are durable practices your compliance team maps to your own jurisdictions.

Why not just ask ChatGPT or another AI assistant?

An AI assistant can draft an insurance capability list quickly, and for getting oriented in an unfamiliar line of business that is often enough. This model is for decisions that have to stand up to review by underwriting, claims, actuarial and risk leadership. Its capabilities keep stable IDs, the links between capabilities, ratings and the readiness assessment are checked before release, every L2 capability carries a rated AI profile with a risk tier, the segments are tagged instead of mixed in, and the scoring model uses weights you set. A generated list changes each time you ask and checks none of that.