Threading Build buy Decisions

• Source: Report framework library

Encodes a Revenue AI Report framework so the agent applies the published method instead of improvising one.

1. 1.Copy the SKILL.md text below, or download the raw file.
2. 2.Create a folder named exactly threading-build-buy-decisions in your agent's skills directory.
3. 3.Save the file inside that folder as SKILL.md.
4. 4.Ask the agent one of the trigger requests below.
5. 5.Check the output against what you already know before it leaves your desk.

• Audit our AI stack and label each layer build, buy, or thread
• We bought the platform and our motion looks the same as every competitor, what should we thread
• Engineering wants to build a vector store and I think we should be building the ICP model instead

• Should we build or buy a forecasting assistant, give me the three-year cost on both sides
• Is this AI vendor's category durable or will the platform absorb it

---
name: threading-build-buy-decisions
description: Label every layer of a revenue AI stack build, buy, or buy and thread, so competitive edge concentrates in the layers only you can build.
---

# Threading Build, Buy, Thread Decisions

Label every layer of a revenue AI stack build, buy, or buy and thread, so competitive edge concentrates in the layers only you can build.

## When to use this skill

- A build-versus-buy argument has stalled and both options look wrong, which usually means the answer was buy and thread.
- Auditing the whole revenue AI stack rather than one capability, and needing a defensible sourcing label per layer.
- The platform is bought, the licenses are live, and the motion looks identical to every competitor who bought the same tool.
- Finance asks why you bought where you bought and built where you built.
- Planning where engineering time goes next quarter across an AI stack.

This skill covers the three-way call with threading as the third option. The simpler two-way build-versus-buy decision on a single capability belongs to decide-build-or-buy-ai (https://www.therevenueaireport.com/skills/decide-build-or-buy-ai).

## Inputs to collect

- The current stack inventory, one row per layer, from procurement records and the IT asset list.
- For each layer, whether it is infrastructure or intelligence, decided with the process owner rather than the vendor's category label.
- For each layer, whether it is buyer-facing or internal, from the workflow map.
- What proprietary material you already hold per layer, from RevOps and enablement, covering win and loss patterns, call transcript library, historical deal records, reply corpus, and customer voice model.
- Engineering capacity available and what it would otherwise ship, from the engineering roadmap.
- Named output per tool, from the tool owner. A tool with no named output is a finding.
- Vendor quotes and renewal dates per layer, from procurement.

## Process

Run the four quadrants across the inventory, then label each layer (https://www.therevenueaireport.com/frameworks/build-buy-thread).

1. Quadrant 01, buyer-facing infrastructure, buy. CRM, marketing automation, phone, video, storage. Nobody wins by building what everyone else already bought. Artifact: the buy list with renewal dates.
2. Quadrant 02, buyer-facing intelligence, buy and thread. This is where most AI-native leverage now lives. The vendor supplies the substrate and you supply the language, the plays, and the evidence. Artifact: the thread list, with the specific threads named per layer.
3. Quadrant 03, internal infrastructure, buy. Compute, model APIs, vector stores, agent runtimes. Rent the utilities, because buying infrastructure is not a strategy by itself. Artifact: the rent list.
4. Quadrant 04, internal intelligence, build. Your ICP model, your enablement corpus, your reply corpus, your reversal ledger, your customer voice model. Only you can build these. Artifact: the build list with an owner per item.
5. For every layer labeled thread, write the threads explicitly as your prompts, plays, ICP model, evidence, and customer language, because the threads are the part a competitor buying the same platform does not have.
6. Name the output every tool produces. Keep the tool only where the output is named and owned. Artifact: the tool-to-output map.
7. Write the finance story in one paragraph, explaining why you bought where you bought and built where you built.
8. Set the review date and the trigger that would move a layer between quadrants.

## Decision rules

- Resolve any stalled build-versus-buy argument by testing for quadrant 02 first. The old binary means arguing between an inferior build and a generic buy when the answer was buy and thread (https://www.therevenueaireport.com/frameworks/build-buy-thread).
- Never build infrastructure, internal or buyer-facing. Every hour spent building a vector store is an hour not spent building intelligence (https://www.therevenueaireport.com/frameworks/build-buy-thread).
- Never buy AI-native infrastructure at a premium. Compute is compute, model APIs are commoditized, and a premium wrapper on both is still a wrapper (https://www.therevenueaireport.com/frameworks/build-buy-thread).
- Never buy generic intelligence unthreaded. Generic intelligence means you run a motion identical to every other buyer of the same tool (https://www.therevenueaireport.com/frameworks/build-buy-thread).
- Build only where the capability is internal and encodes intelligence unique to your business, such as an ICP model or an enablement corpus, and buy anything that is infrastructure (https://www.therevenueaireport.com/frameworks/build-buy-thread).
- Treat a licenses-only plan as a non-decision. Licenses change tooling, not the operating model, and without threading and organizational change every competitor can buy the same capability the same week (https://www.therevenueaireport.com/frameworks/build-buy-thread).
- Prioritize internal data quality before the threading work, because threading has nothing to thread without it. The Internal Data Advantage argument is that external signals like job changes and funding rounds are table stakes since every competitor buys from the same sources, while proprietary internal data such as win and loss patterns, the call transcript library, and historical deal records is the moat competitors cannot buy (https://www.therevenueaireport.com/blog/ai-strategy-sequencing-framework).
- Do not minimize the stack for its own sake. Sendoso runs 26 tools and it works because every tool maps to a specific named output, so the discipline is knowing exactly what each piece does and saying no to everything without a clear owner and a clear output (https://www.therevenueaireport.com/blog/ai-strategy-sequencing-framework).
- Pair every sourcing label with a workflow change. McKinsey tested 25 organizational attributes and found fundamentally redesigning workflows had the largest effect on EBIT impact, with only 21 percent having redesigned any workflow at the time, so buying a tool and leaving the process intact reproduces the gap by design (https://www.therevenueaireport.com/research/what-works).
- Budget the verification layer on anything agentic in quadrant 02 or 03. McKinsey found refinement work of checking, repairing, and reverifying is about 60 percent of an agentic task's cost and that agentic tasks consume roughly 1,000 times more tokens than chat or code reasoning tasks (https://www.therevenueaireport.com/research/spend-vs-attribution).
- Set no numeric split between build, buy, and thread spend. No page publishes one. If leadership wants a target, derive it from the count of layers in each quadrant and label it as a team-set target.

## Output requirements

- A stack map with one row per layer, each carrying a quadrant and one of the three labels.
- For every thread label, the named threads.
- The tool-to-output map, with any unnamed output flagged.
- The one-paragraph finance story.
- The review date and the quadrant-change trigger.

Use this table shape.

| Layer | Infrastructure or intelligence | Internal or buyer-facing | Quadrant | Label | Named threads or owner |
|---|---|---|---|---|---|
| CRM | infrastructure | buyer-facing | 01 | buy | renewal 2027-03 |
| AI deal intelligence | intelligence | buyer-facing | 02 | buy and thread | win and loss patterns, objection library, pricing evidence |
| Model APIs | infrastructure | internal | 03 | buy | rent, spend cap set |
| ICP model | intelligence | internal | 04 | build | RevOps lead |
| Enablement corpus | intelligence | internal | 04 | build | enablement lead |

## Verification loop

1. Validate the quadrant assignment before the label. Re-ask whether each layer is infrastructure or intelligence using the process owner's description, not the vendor's category. If a layer changes quadrant, its label changes with it, so re-label and repeat.
2. Validate every thread label by naming at least one thread that a competitor buying the same platform would not have. If you cannot name one, the layer is a plain buy, so downgrade the label and re-run step 1.
3. Validate every build label against engineering capacity and against the unique-intelligence test. If the item is infrastructure or if capacity does not exist, change the label to buy and record what was traded away.
4. Validate the tool-to-output map. Any tool with no named output and no clear owner is a candidate for removal, so flag it and re-run the map after the owner responds.
5. Validate that at least one workflow change accompanies each labeled layer that is changing this quarter. A sourcing label with no process change reproduces the gap.
6. Only proceed when every layer carries a quadrant derived from the process owner's description, every thread label names a real thread, every build label passes the unique-intelligence and capacity tests, every tool has a named output and owner, and each changing layer has a workflow change attached. Make procurement or engineering commitments only after that point. If any check fails, hold the affected layer and name the missing input.

## Quality checks

- Every layer carries exactly one of build, buy, or buy and thread.
- No infrastructure layer is labeled build.
- No intelligence layer in quadrant 02 is labeled plain buy without named threads.
- Every tool has a named output and a named owner.
- The finance story explains both a buy and a build decision by name.
- The verification and refinement cost is priced into any agentic layer.

## Limitations

- The framework labels sourcing. It does not price contracts, and three-year AI pricing forecasts are soft, so treat totals as ranges.
- Threading depends on the quality of your internal data. Where win and loss records or transcripts are thin, the thread list is aspirational until the data work is done.
- The quadrant boundary between infrastructure and intelligence moves as platforms add capability, which is why the review date and change trigger are required outputs.
- The Sendoso figures are a single named case, not a benchmark. They went from 15 plus BDRs generating less than 15 percent of pipeline to 4 BDRs generating more than 30 percent in six months with pipeline doubled (https://www.therevenueaireport.com/blog/ai-strategy-sequencing-framework).
- Supporting workflow-redesign figures come from self-reported executive surveys, and correlation between redesign and EBIT impact does not prove direction (https://www.therevenueaireport.com/research/what-works).

## Example input

A 600-person B2B software company. Stack inventory includes Salesforce, a marketing automation platform, a dialer, a video tool, an AI deal-intelligence product, a hosted model API, a vector store the platform team wants to build, an ICP scoring spreadsheet maintained by one analyst, and an enablement content folder in shared storage. Engineering has capacity for one engineer for one quarter. RevOps holds four years of closed-won and closed-lost records and a full call transcript library.

## Example output

Stack map, by quadrant.

- Quadrant 01, buy: Salesforce, marketing automation, dialer, video. Nobody wins by building what everyone else already bought.
- Quadrant 03, buy: hosted model API. Rent the utility. Reject the internal vector store build, because every hour spent building a vector store is an hour not spent building intelligence (https://www.therevenueaireport.com/frameworks/build-buy-thread).
- Quadrant 02, buy and thread: the AI deal-intelligence product. Named threads are the win and loss patterns from four years of records, the objection library from the transcript corpus, the pricing evidence set, and your customer language. Without those threads you run a motion identical to every other buyer of the same tool.
- Quadrant 04, build: the ICP model and the enablement corpus. Only you can build these. Owner for the ICP model is the RevOps lead, and the one engineer-quarter goes here rather than to the vector store.

Tool-to-output map finding: the video tool has no named output and no owner. Flag for removal or reassignment, on the discipline that every tool should map to a specific named output (https://www.therevenueaireport.com/blog/ai-strategy-sequencing-framework).

Finance story: infrastructure is rented at both layers because it is commoditized and a premium wrapper on it is still a wrapper. The single engineer-quarter is spent on internal intelligence, the ICP model and enablement corpus, because that is the only quadrant a competitor cannot buy. Buyer-facing intelligence is bought and then threaded with four years of proprietary deal records, which is where the edge actually sits.

Review date and change trigger: revisit at the Salesforce renewal, and move the AI deal-intelligence layer from quadrant 02 to quadrant 01 if the platform absorbs the capability natively, at which point the threads move to the platform rather than being rebuilt.

## Rules of conduct

- Write for a Director, VP, or operator. Short sentences. Explain uncommon terms.
- Separate facts from assumptions. Never hide uncertainty.
- Do not invent numbers, benchmarks, quotes, or customer names.
- Do not send messages, change CRM records, or publish anything unless the user explicitly asks.
- Flag when a decision needs human review.

## Evidence

- https://www.therevenueaireport.com/frameworks/build-buy-thread
- https://www.therevenueaireport.com/blog/ai-strategy-sequencing-framework
- https://www.therevenueaireport.com/research/what-works
- https://www.therevenueaireport.com/research/spend-vs-attribution
- https://www.therevenueaireport.com/blog/headless-gtm-stack
- https://www.therevenueaireport.com/frameworks/renew
- https://www.therevenueaireport.com/skills/decide-build-or-buy-ai

## Cite this framework

Kvarfordt, Jonathan. "BUILD, BUY, THREAD." The Revenue AI Report. https://www.therevenueaireport.com/frameworks/build-buy-thread

What does the Threading Build buy Decisions skill do?

Label every layer of a revenue AI stack build, buy, or buy and thread, so competitive edge concentrates in the layers only you can build.

Where does the Threading Build buy Decisions skill come from?

Report framework library. It was written by The Revenue AI Report against a 12 criterion quality rubric and graded in an independent scoring pass.

Why was the Threading Build buy Decisions skill chosen for this library?

Encodes a Revenue AI Report framework so the agent applies the published method instead of improvising one.

When should the Threading Build buy Decisions skill not be used?

Do not use it for: Should we build or buy a forecasting assistant, give me the three-year cost on both sides Or: Is this AI vendor's category durable or will the platform absorb it

How do I install the Threading Build buy Decisions SKILL.md file?

Download the file, create a folder named exactly threading-build-buy-decisions inside your agent's skills directory, and save the file inside it as SKILL.md. The agent loads it when a request matches the description.