Sales Business Architecture Package: AI Transformation Blueprint

The Sales Business Architecture Package takes the Sales Capability Matrix and adds the design an AI program in sales needs: value streams, a data model, agents, use cases, controls, an operating model and a roadmap. Distribution and sales architecture teams at banks, insurers, asset and wealth managers and payments firms use it to plan where AI acts in winning and growing client business, and where a person decides. It holds 12 value streams with 60 stages, 109 entities, 43 agent specification starters, 64 use cases and 45 controls. The content is cross-industry and is edited to match your approval limits and coverage model.

The Problem Behind It

Sales tools now ship with AI turned on. Lead scoring, call notes, email drafts and forecast suggestions appear as features, each with its own data connections and its own idea of what a seller may accept unchecked. In a firm that sells financial products, some of those features end up close to prices, terms and client data, and no single document says which ones.

This package writes that document before the next feature goes live. It says where AI may act, where it drafts for a seller and where a deal desk, pricing or finance approver decides. Each agent has a written specification before anyone signs a purchase order, use cases wait for their wave, and high-risk work gets its controls first.

The deliverables

What the Download Contains

Everything in the Sales Capability Matrix is included, and the package adds these parts:

The model

• The complete AI-Ready Capability Model edition: 8 L1, 36 L2 and 171 L3 sales capabilities, with definitions to L3 and 160 KPIs at L2, an AI profile for every L2, AI ratings for every L3, prioritization, the AI heatmap and a 40-question readiness assessment
• 12 sales value streams across 60 stages, with each stage's steps shown today and AI-native and its human checkpoint, and 11 standard value streams as a reference
• An AI-ready business data model of 16 subject areas, 109 entities, 877 attributes and 422 relationships, each with its sensitivity and data-quality requirements

AI and governance

• 43 agent specification starters, each setting tool permissions, guardrails and escalation paths
• 64 use cases written as structured business cases
• 45 controls and responsible AI principles, mapped to risk tiers
• An AI operating model covering governance bodies, a RACI, an agent lifecycle, role impacts and new roles
• A roadmap in three waves

Files and terms

• To begin, a Welcome document; then a leadership presentation template to adapt, the capability map deck, standalone documents for the capability definitions, KPIs, data model, agent specifications, use cases and AI governance, a value streams deck, the Excel workbook, the implementation guide
• Bonus files included: a sales glossary, sales roles and how AI changes them, sales operating model archetypes, a sales transformation overview and framework, A Practical Guide to Business Architecture, a capability modeling overview, an AI-ready capability profile template, capability relationship mapping templates, a framework-to-enablement deck, a capabilities to microservices and AI agents mapping example, and a business architecture leader role guide
• 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.

What it is

Inside the Sales Business Architecture Package

The base is the full Sales Capability Matrix: 8 L1, 36 L2 and 171 L3 capabilities with definitions, 160 KPIs and an AI profile on each L2. Every other part of the package points to those capability IDs, so a deal approval can be followed from the capability to the stage, the agent and the control that covers it.

The value stream catalog describes selling end to end in 12 streams and 60 stages. Each stage appears twice, as it works today and as it would work AI-native, and each names the point where a person checks or decides. The catalog also holds 11 standard value streams. The business information model has 16 subject areas, 109 entities, 877 attributes and 422 relationships, with sensitivity and data-quality requirements.

The rest is the AI program itself. The 43 agent specification starters define tool permissions, guardrails and escalation paths. The 64 use cases are written as business cases. The 45 controls and the responsible AI principles follow risk tiers, the operating model names governance bodies, a RACI, an agent lifecycle and role changes, and a three-wave roadmap sets the order.

Putting it to work

Use Cases

Redesigning the route from proposal to signed business. Walk the current and AI-native stages from proposal to signature. Decide where AI checks completeness and routes approvals, and keep a named approver wherever a price or a term is committed.

Turning agent starters into acceptance criteria. Adapt the starters for the agents you plan to build or buy. Their permissions, guardrails and escalation paths become the tests an agent passes before release.

Funding use cases in a set order. Compare the 64 use cases as business cases and link each to its capability and stage. Fund them in the order of the roadmap, not the order in which suppliers present them.

Preparing client and pipeline data. Check the 109 entities and their quality requirements against what your CRM holds. Fix the account, opportunity and pricing data the first use cases need.

Governing AI that touches price. Apply the controls for high risk tiers to discounting, terms and approvals. Use the RACI to name who approves, monitors and can stop each agent.

Planning sales roles across three waves. Use the role impacts, new roles and the bonus guides on sales roles and operating model archetypes to plan how relationship, specialist and operations roles change from wave to wave.

The economics

The Alternatives

An AI-ready sales architecture is a set of linked artifacts: capabilities, stages, data, agents, controls, an operating model and a roadmap. It is useful only while those links hold as people edit it.

• Building it from a blank slate. A team can draft each artifact in sequence, with a round of workshops for each. Keeping stages, entities and agents aligned while every draft moves is where the time goes, and controls tend to arrive after the first use cases are live.
• Hiring consultants to build it. An outside team can produce the set and run the decision meetings. Much of the engagement still covers sales process maps and data models that differ little between companies.
• Starting from this model. All layers come linked and checked. Workshops settle fit: which value streams apply, how your approval limits change the human checkpoints, and which use cases belong in the first wave.

Pricing authority, risk appetite and the speed of change stay with your leadership. The files are built to be edited as those decisions are made.

Who It Is For

Architects for sales and distribution. Keep capabilities, stages, entities, agents and controls linked as the organization tailors them.

Sales and distribution leadership. Set priorities from the roadmap and plan team changes from the role impacts.

Revenue and sales operations. Turn stage redesigns into process changes and track the KPIs and AI measures that show the effect.

CRM, data and AI engineering teams. Build agents and data fixes from the specifications and the information model, treating permissions as the definition of done.

Pricing, risk and governance owners. Review controls and checkpoints on pricing, discounting and commitments, and map them to internal policy.

Getting Started

A sales architecture team can reach a first wave in six steps:

1. Read the Welcome document and the implementation guide, then look through the leadership presentation.
2. Confirm the capability ratings with sales leadership and sales operations.
3. Pick the value stream that matters most this year and review its stages with the people who run it.
4. Compare the entities that stream needs with the data held in your CRM and quoting tools.
5. Choose first use cases and agents, and adapt the controls and RACI entries that apply to them.
6. Set your own roadmap in three waves and present it with the leadership template.

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

Customers who bought the AI-Ready Capability Model edition within 90 days receive its full price as credit against this package. 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 can sketch a sales process and list places AI might help, which is useful at the start. A sales AI program will have agents near prices, terms and client data, and those agents need a design that stays fixed under review. In this package the capabilities, stages, entities, agents, use cases and controls carry stable IDs and checked cross-references, every capability has a rated AI profile and risk tier, the 43 agent starters state permissions and escalation paths, and the 45 controls follow risk tiers. Keep the assistant for drafting around it.