THE TAKEAWAY
Record the original entity, the transformation and the responsible owner. A final summary alone cannot explain how a source became a commercial recommendation.
The decision this guide helps you make
What records make an agent’s account recommendation auditable?
You will leave with: A provenance record connecting evidence, processing and accepted account decisions.
Start here: Identify the material assertion.
Download this guide’s decision worksheetFollow the chain behind the recommendation
An agent may retrieve an annual report, extract an expansion event, match it to a CRM account and recommend a message. Each step changes the information. A reviewer needs to see the chain, not just the final sentence.
Begin with the material assertion that influences the next action. Identify its source and the transformations that produced it. Record when the information was captured and which version of the workflow processed it. This makes a correction possible without manually reconstructing the whole task.
What the W3C provenance model provides
The W3C PROV family describes relationships among entities, activities and responsible agents. Its 2013 overview supplies a technical vocabulary for representing provenance. It is a specification, not experimental evidence that a data architecture improves revenue.
Our ABM application is a lightweight record: source document as entity, extraction or matching as activity, and the software or person responsible as agent. A team can begin with these concepts in ordinary structured records without adopting every part of the specification.
Explore the original methods and findings in PROV-Overview.
The practical workflow
- Identify the material assertion
- Preserve source and entity
- Record the transformation version
- Attach acceptance and ownership
- Trace corrections to affected outputs
Compare the approaches
| Approach | Useful when | Limitation | Next action |
|---|---|---|---|
| Source entity | Original evidence | May be stale or restricted | Keep dates and permissions |
| Transformation | Extraction or matching | Can introduce an error | Record version and inputs |
| Assertion | A statement used for action | Trace does not imply truth | Review claim support |
| Correction event | Repairing an accepted record | Other outputs may be affected | Inspect dependent decisions |
Define the minimum account record
Keep source identifier, URL or permitted record reference, publication date, capture date, account identifier and exact supporting passage. Store the transformation name and version, the resulting assertion and its acceptance state. Record the owner of the review and any correction.
Permissions belong in this design. A public report and a private customer conversation have different access conditions. Do not expose private notes through a public source link or copy them into a broadly accessible retrieval collection. Retain only the information needed for the decision under the approved policy.
Trace a fictional subsidiary mistake
A parent company announces an expansion, but the agent assigns it to a subsidiary with a similar name. The final brief proposes contacting the wrong business unit. With provenance, the reviewer can inspect the source entity, the matching step and the assertion that inherited the error.
Correct the match, mark affected assertions for review and check whether any proposed actions used the same transformation. Without this chain, the team might fix one message while leaving the underlying account mapping unchanged. Record the correction as a new event rather than overwriting the history without explanation.
Separate provenance from claim support
Knowing where a sentence came from does not establish that it is supported. Citation evaluation asks whether the source entails the assertion; provenance asks how the assertion was produced. Both are needed for an inspectable workflow.
Use claim review to catch unsupported interpretation. Use provenance to locate the responsible stage and understand which other outputs may be affected. A complete trace of an incorrect recommendation is still an incorrect recommendation, but it is easier to investigate and repair.
Explore the original methods and findings in Enabling Large Language Models to Generate Text with Citations.
Start with one critical decision path
Choose a recurring account recommendation and require provenance for its material assertions. Review whether an account owner can locate the source, understand the transformation and request a correction without specialist help.
Measure missing source records, incorrect entity links and time to reconcile errors. Expand the record format only when a field supports a real review or recovery task. An enormous log that no owner can interpret is less useful than a short, coherent chain.
Your next-action checklist
- Source entity: Keep dates and permissions. Check the limitation: may be stale or restricted.
- Transformation: Record version and inputs. Check the limitation: can introduce an error.
- Assertion: Review claim support. Check the limitation: trace does not imply truth.
- Correction event: Inspect dependent decisions. Check the limitation: other outputs may be affected.
Use the comparison to choose a bounded next step. Record the evidence, the responsible owner, and the review decision before extending the play to additional accounts.
How to use the evidence
Read each reference against the claim it supports. Platform documentation describes capabilities; public cases report a publisher’s experience; research findings apply to the studied task and population. The workflow in this guide is an operating proposal to evaluate in your own account context.
Inspect the research library and connect this guide to account intelligence.
Questions this guide answers
What records make an agent’s account recommendation auditable?
Record the original entity, the transformation and the responsible owner. A final summary alone cannot explain how a source became a commercial recommendation.
What should I do first?
Identify the material assertion. Record the input evidence and the acceptance criteria before continuing. Use the decision worksheet to document the owner, review date and next action.
Read the original research
The guide explains the findings above. Open a publication to inspect its methods, setting and qualifications.
PROV-Overview. This is a data specification, not an experiment demonstrating commercial performance.
Enabling Large Language Models to Generate Text with Citations. A plausible citation can still fail to support the sentence beside it.
Connect this guide to the next decision
Matching intelligence to the right CRM account — How can a team attach external evidence without creating duplicates or crossing account boundaries?
RAG for account research: build a brief from verifiable evidence — How should retrieval-augmented generation support an ABM account brief?
Audit the Data Relationships Behind Attribution — Which data checks should come before an ABM team trusts a pipeline attribution report?
PUT IT INTO PRACTICE
Start with your account priorities.
Compare account focus, personalisation, deliverables, and measurement.
Explore Signal