R&D Business Capabilities Map: AI-Ready Edition | Capstera
Category: Functional Capability Maps
$1295.00 Available now
R&D capabilities map with an AI profile for all 40 L2 capabilities: AI mode, oversight, risk tier, prioritization, heatmap and readiness assessment.
The Research and Development Capability Model: AI-Ready Edition is the R&D business capabilities map with an AI profile for every capability. For each of the 40 level 2 capabilities it records where AI fits, in what mode, under what human oversight, with what data and at what risk, and it scores and ranks them so you can choose where to start.
What's Inside
- 10 L1, 40 L2 and 158 L3 R&D capabilities, with definitions to L3 and 161 KPIs at L2
- A full AI profile for every L2 capability: opportunities, what stays human, agents, data, 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 R&D glossary, A Practical Guide to Business Architecture, a capability modeling overview, an AI-ready capability profile template and capability relationship mapping templates
- 12 months of content updates and MCP access for your AI assistants
Every file names your organization and carries your license ID. Ratings describe a typical large enterprise and are a starting point for your own.
Why Not Just Ask ChatGPT?
A general-purpose assistant will draft an R&D capability list in a minute, and for orientation that is often enough. This package is for decisions that have to stand up to review: what to automate, under whose oversight, and in what order.
| A generic AI-generated list | This package | |
|---|---|---|
| Structure | A plausible list that changes between runs | A fixed model with stable IDs: 10 L1, 40 L2 and 158 L3 capabilities, defined to L3 |
| Cross-references | Not checked | Every link between capabilities, ratings and the readiness assessment is validated before release |
| Where AI fits | Suggestions you have to verify yourself | An AI profile for every L2 capability: AI mode, human oversight, opportunities, what stays human, data, KPIs, prerequisites and risks |
| Risk | Generic cautions | A risk tier for every L2 capability, with every capability that informs a decision about a person flagged |
| Scoring | No model to score against | A prioritization model with your own ratings and weights, and a 40-question readiness assessment |
| Durability | Shifts with each prompt and model version | Capabilities that describe what R&D does, independent of any tool, vendor or law, with 12 months of content updates and live lookups through MCP |
Read the Public Sample
The sample follows one thread through the package, testing, and is 0.79% of the content. From the Testing (RD-5.2) AI profile:
- Work patterns: Analysis & insight, Content generation, Transactional processing
- Target AI mode: Augment
- Human oversight: Human-in-the-loop
- AI fit / Value / Feasibility / Data readiness: 4 / 4 / 3 / 3 (1–5)
- Risk tier: High
- Roadmap wave: Wave 2
- AI opportunity: Draft test plans from the requirements, design risks and earlier test results: methods, conditions, sample sizes, acceptance criteria and the trace link from each test to the requirement it covers
- What stays human: The Test and Validation Lead approves each test plan and its acceptance criteria, and accepts test results that do not bear on safety or quality; the Quality Lead approves every safety- or quality-relevant test conclusion that releases or rejects a design
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=rd 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 with your 12 months of updates. 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 AI Transformation Blueprint for Research and Development 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 12 months?
Your license to use the files does not end. Any model changes released within 12 months of purchase are free, and MCP access runs for the same 12 months. There is no renewal after that: when a major upgrade is released, past buyers are notified and offered a discount on the new version.
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 R&D 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.