Sales Capability Matrix: AI-Ready Edition

The Sales Capability Matrix describes how an organization finds, wins, prices and grows customer business, and rates where AI should and should not take part. Distribution and sales architecture teams at banks, insurers, asset and wealth managers and payments firms use it to describe relationship management, coverage and sales operations in terms that outlast any one sales tool. It holds 8 L1, 36 L2 and 171 L3 capabilities, with definitions to L3 and 160 KPIs at L2, and an AI profile on each of the 36 L2 capabilities. The content is cross-industry, and its ratings are a starting point for yours.

What it is

Inside the Sales Capability Matrix

The matrix describes selling as a set of capabilities rather than a set of teams or screens. Its 8 L1 areas break into 36 L2 and 171 L3 capabilities, each defined, and 160 KPIs sit at L2. A capability keeps the same ID whether the work is done by a relationship manager, a sales operations analyst or a pricing team.

Every L2 capability has an AI profile, and every L3 carries four ratings: work pattern, target AI mode, AI fit and risk tier. The profile is where the matrix differs from a list. It states what AI can do, what data it needs, what could go wrong, how roles change and who keeps the decision.

Deal Desk and Approval Management (SA-4.2), the capability in the public sample, rates 5 for value and 2 for data readiness, with a high risk tier and a place in Wave 2. AI checks each deal submission for completeness and routes it to the approver its discount, terms and size call for. The Account Executive prepares the deal, and the Deal Desk Lead approves its structure and the profitability check.

The Problem Behind It

In a bank or an insurer, selling is spread across relationship managers, product specialists, intermediary account teams and service staff who cross-sell, and each group often runs on its own tools. AI arrives inside those tools: lead scores in one, meeting notes in another, next-best-offer suggestions in a third. Nobody has decided in one place which of these may only suggest and which may change a price or a term.

The matrix provides that place. Sales leaders and architects rate each capability once, set the oversight level for pricing, approval and commitment work, and rank the candidates with weights they chose. A new AI feature is judged against an answer already agreed, and nobody has to argue it again with each product release.

The deliverables

What the Download Contains

Each file below can be edited and shared on its own:

The model

• 8 L1, 36 L2 and 171 L3 sales capabilities, defined through L3, with 160 KPIs set at L2

AI and governance

• For each L2 capability, an AI profile covering opportunities, what stays human, agents, data, KPIs, AI measures, prerequisites, risks and workforce impact
• L3 capabilities rated for work pattern, target AI mode, AI fit and risk tier
• Risk-adjusted scoring and ranking of each L2 capability, driven by your own ratings and weights
• An AI heatmap across the entire model
• A weighted AI readiness assessment with 40 questions

Files and terms

• To begin, a Welcome document; then the capability map deck, standalone capability definitions and KPIs documents, the Excel workbook, the user guide
• Bonus files included: a sales glossary, A Practical Guide to Business Architecture, a capability modeling overview, an AI-ready capability profile template and capability relationship mapping templates
• Corrections free of charge, and new versions free for 180 days after purchase

Your organization's name and license ID are printed in every file. Ratings reflect a typical large enterprise; treat them as a first draft of your own.

Who It Is For

Heads of distribution and sales leadership. Use the ranking and heatmap to choose where AI starts and where customer data is not yet good enough.

Sales and revenue operations. Link process, reporting and tools to capabilities, and pick KPIs from the matrix to measure each change.

Deal desk, pricing and finance approvers. Check the risk tiers and approval points on discounting, pricing and terms, and confirm what AI may only prepare.

Architects covering sales and distribution. Tailor the matrix and connect its IDs to applications, data and change projects.

CRM and sales technology owners. Map the current tools to capabilities and plan replacements around coverage gaps and overlaps.

Putting it to work

Use Cases

Choosing the first AI work in sales. Rate the 36 L2 capabilities with your own scores and set the weights. The ranked list shows whether pipeline management, forecasting or deal approval makes the better first pilot once risk is counted.

Writing oversight rules for pricing and terms. Start from the oversight levels and what-stays-human statements for pricing, discounting and approval work. Agree them with the deal desk and finance before any tool goes live.

Reviewing the sales tool estate. Place CRM modules, quoting, incentive and enablement tools on the capabilities they support. Capabilities with several tools, or none, become the consolidation agenda.

Scoping an AI product evaluation. Describe what a sales AI product must support as a set of capabilities, with the data and prerequisites from their profiles. Each supplier is scored against that same list.

Changing the coverage model. Use the definitions to settle what relationship managers, specialists and sales operations each own when coverage changes. The workforce impact notes help plan how roles shift.

Testing readiness before the first pilot. Run the 40-question readiness assessment with the owners of customer data, CRM and risk. The weighted result shows which prerequisites have to come first.

Getting Started

Most teams begin with these steps:

1. Read the Welcome document, then the user guide.
2. Review the capability map with sales leadership and sales operations, and note what to rename or remove.
3. Re-rate the capabilities you expect to act on and set your weights in the workbook.
4. Run the readiness assessment with the owners of customer data, CRM and risk.
5. Shortlist pilots from the top of the ranking and confirm their oversight with the deal desk.

The economics

The Alternatives

Sales leaders have to recognize their own work in a capability model before they will rate it, and the model has to be detailed enough to carry tools, KPIs and AI decisions.

• Building it from a blank slate. An internal team interviews relationship managers, sales operations and finance, drafts a structure and settles disputes over who owns pricing and approvals. The team learns a lot, but the review cycles are long, and AI ratings usually wait for a second phase.
• Hiring consultants to build it. Facilitators draft quickly from their own material. Much of the paid time covers sales structure any organization shares, and the deliverable may end at the map, with no ratings, scoring or readiness assessment.
• Starting from this model. Definitions, KPIs and AI profiles are already consistent with each other. Workshops decide which capabilities apply, what to call them locally and how your data and risk change the ratings.

Advisers are worth their fee when they test the matrix against how your firm sells and help leaders agree on it. Redrafting the generic layer is a poor use of that time.

Public sample

A Sample Profile

The sample is 0.83% of the package and traces one thread through it: deal desk and approval management. The fields below come from the Deal Desk and Approval Management (SA-4.2) AI profile:

• AI mode: Augment
• Oversight level: Human-in-the-loop
• Risk rating: High
• Wave: Wave 2
• Fit, value, feasibility and data readiness scores: 3, 5, 3, 2 on a 1–5 scale
• Patterns of work: Judgment-based decision, Rules-based decision, Analysis & insight
• What AI could do: Check each deal submission for completeness and route it to the approver its discount, terms and size require under the approval authority limits
• What people decide: The Deal Desk Lead approves each deal's structure and profitability check before approval routing; the Account Executive prepares the deal

Upgrading Later

Buy this edition now and, if you upgrade to the Sales Business Architecture Package: AI Transformation Blueprint within 90 days, its full price counts against the upgrade. Email your order number to support@finantrix.com for a one-time checkout code.

Read before you buy

Common Questions

Which edition fits my team?

Choose the AI-Ready Capability Model for the capability map, an AI profile for every L2 capability, prioritization, the heatmap and the readiness assessment. Choose the AI Transformation Blueprint for all of that plus 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 our internal AI tools use the content?

Yes, inside your organization. The Enterprise license covers internal tools, including assistants and agents you run yourselves. No license permits using the content to train, fine-tune or prompt AI systems on behalf of third parties.

Does it address AI laws and regulations?

No. The content is business architecture by intent: capabilities, value streams, data and the AI layer describe what sales does and where AI fits, which holds under whatever laws apply to you. The risk tiers, principles and controls are lasting practices for your compliance team to map to the jurisdictions you operate in.

What happens when the 180 days end?

The license continues with no end date, and corrections stay free for as long as you use the files. New versions released within 180 days of purchase are free, and we email a download link for each. After that nothing renews, and new versions are offered at 25% off.

Can I move from the Capability Model to the full blueprint?

Yes. If you upgrade within 90 days, the full price paid for the Capability Model is credited. Email your order number to support@finantrix.com for a one-time checkout code.

Could an AI assistant write this instead?

An assistant will draft a reasonable sales capability list on request, and for a first discussion that is enough. Decisions about pricing authority, approvals and customer data need more than that. The assistant's list changes between runs, its suggestions for AI carry no risk tier or oversight level, and nothing confirms that capabilities and ratings agree. The matrix gives stable IDs, cross-references checked before release, a rated AI profile and risk tier for each of the 36 L2 capabilities, and a prioritization model whose weights you can explain to a deal desk or a steering committee.