Exception handling records: the part of a workflow AI agents fail on

What are exception handling records, and why do AI agents need them?

Exception handling records are the logged cases where a normal process failed, who dealt with them, what they decided and why. Agents handle routine cases on their own and escalate exceptions, so the queue of exceptions with dispositions and reasons is where training and evaluation material is thinnest and most valuable.

An agent that processes invoices, orders, shipments or claims does well on the cases that look alike. It struggles, or hands off to a person, on the rest. The record of how people resolved the rest is what teaches the next agent where the boundary is.

For an operating partner, the useful question is simple: which portfolio companies log exceptions with outcomes, and for how long? This hub explains the pattern and links the function-specific pages so you can scan a portfolio.

What does a good exception record contain?

Records missing the disposition or reason are logs rather than lessons. Records with all seven, over years, are the strong version.

Where do exceptions live in different functions?

Exceptions look different by department, but the structure repeats.

• Order entry: substitutions, unit mismatches and credit holds. See emailed purchase orders and order-entry exceptions.
• Finance close: unreconciled items and unusual entries. See account reconciliation break notes and journal entry review records.
• Customer retention: cancellation requests and save attempts, covered in cancellation records.
• Accounts payable: invoices that fail three-way match, with the coding or approval fix.
• Logistics: failed deliveries, damage claims and rerouted loads.
• Claims and service: cases that need an adjuster or a senior agent.

The wider idea is described in what workflow data is.

How do I scan a portfolio for companies that log exceptions with outcomes?

Use the three-line scan: Queue, Reason, Result. For each company, ask the COO or CFO one question per line.

1. Queue: is there a place where exceptions collect, such as a shared inbox, ticket queue, Teams channel or ERP exception screen?
2. Reason: does the person resolving it write down why, in a note or reason code?
3. Result: can anyone later see what happened after the decision?

A company that says yes to all three, and has run that way for several years, is worth an introduction. A yes to the queue with no reasons is a weaker case. A company that resolves everything by phone leaves nothing to license.

The best moments to ask are the 100-day plan, annual budget review and any ERP or ticketing migration. At add-ons, ask what happens to the acquired company's queues when they are folded into the parent's tools.

What does a good scan look like in practice?

The two features that made it a candidate were the reason code and the resolution, not the volume.

How does this connect to the AI buyer's needs?

Buyers building agents look for the boundary where automation stops and judgment starts. A record that marks that boundary, with a resolution attached, lets them train and test whether an agent can cross it. This is why a modest queue with clean reasons can matter more than a large unlabeled archive.

What should the company not be asked?

• Do not ask to see a queue, export or screenshot.
• Do not ask for counts of exceptions or examples of cases.
• Do not suggest what price the data might fetch.

Partners give basic fit information only. Company size must meet the baseline of 50+ full-time employees at peak (contractors excluded), with several years of documented operations, rights to license, and an authorized sponsor; see who qualifies.

Which rights issues come up with exception records?

Exceptions often involve third parties, so rights deserve a check.

• Customer and vendor names appear in exception notes; redaction rules are agreed with the company before work begins.
• Claims, patient or consumer exceptions may include personal or health information and may not be licensable without authorization or de-identification.
• Records processed on behalf of clients may belong to those clients.
• Records generated by a vendor's platform may be bound by that vendor's terms.

SourceX handles rights review with the company. You do not need to resolve them, only avoid introducing a company whose exceptions mostly belong to someone else.

How does the introduction work?

1. You describe the pattern to the owner, CEO or CFO and ask permission to introduce them.
2. You register and share your referral link, or use the referral form.
3. SourceX runs its qualification screen on the company.
4. The company lists its systems and years with the data inventory builder.
5. Price and terms are agreed before buyers see anything.
6. After an executed agreement, data is prepared and delivered under agreed redaction rules.

How do partner rewards work?

Partners earn 25% of the eligible platform fees SourceX actually collects from the referred company's licensing deals, capped at $100,000 per referred company. The reward is paid only after the buyer pays and SourceX receives its fee; an introduction, meeting or signed agreement alone does not trigger payment, and no reward is guaranteed. The reward is never deducted from what the company receives, and you should check your firm's own policies on fees tied to portfolio companies. More detail is on the operating partner page.

When are exception records not worth pursuing?

• Everything is resolved verbally and nothing is written.
• The exception system is a third party's platform with restrictive terms.
• Logs were purged on a short retention schedule.
• The company is under the size baseline or has already licensed the same records.

Next step

Run the Queue, Reason, Result scan on three portfolio companies this month. If one passes, register as a partner and make the introduction.