An example of telecom billing dispute resolution as a governed process: agents do the 8 steps, and a person signs 2 gates before anything irreversible happens. Download it, import it into your workspace, and adapt it to your systems.
The graph8 agent steps2 human gatessigns: Billing care manager (revenue-assurance authorized)
Bill-shock dispute resolution autopilot
Bill-shock and billing disputes are a top-3 call driver (20-30% of contact volume), where agents manually re-parse invoices, hunt across cycles, plan terms and rate decks to find the driver, then over-issue goodwill credits because verification is too slow. The status quo is expensive, inconsistent, and leaks margin through unjustified credits while still leaving customers angry about resolution time. Routine disputes are auto-investigated end-to-end and resolved with rule-bound adjustments posted in minutes, with credit leakage closed by tying every adjustment to a verified driver. Only discretionary goodwill above the dollar cap and disputes implying a systemic over-charge reach a human, who signs the money-back and any regulatory escalation.
The governed flow · branches, parallel work & a human on the irreversible step
no clean driver — re-investigate with deeper usage/rating datadriver verified, charge correct — no adjustment owedvalid credit within auto-credit capabove cap or systemic over-charge (if systemic, trigger regulatory compliance check and state/FCC notification per § 64.2401)dispute withdrawn by customer or resolved during investigation without adjustment
Start
agent · low risk
Ingest the dispute (call/chat/ticket) and pull the disputed invoice plus prior-cycle bills, plan terms and rate plan
parallel · fan-out / join
Run the three independent investigations concurrently, then converge on disposition
agent · low risk
Parse line items and diff the disputed cycle against prior cycles to localize the delta (which charges changed and by how much)
agent · medium risk
Identify the driver (overage, proration, promo roll-off, plan change, taxes/fees) AND verify subscriber authorization: confirm charge is rate-plan-compliant and was authorized per customer's contract terms or prior opt-in (FCC § 64.2401 — carriers shall not place charges not authorized by the subscriber)
agent · medium risk
Apply the credit-adjustment policy: verify subscriber authorization status (was charge authorized per plan terms), compute rule-bound adjustment owed, check against auto-credit cap and goodwill rules, and screen for systemic-overcharge exposure
decision
Adjustment disposition? (driver verified vs unreconciled, charge correct, within cap, above cap/systemic, OR dispute withdrawn/resolved without adjustment)
agent · low risk
Draft a no-adjustment resolution explaining the verified, correct charge to the customer
gate · human sign-off
Revenue-assurance fast sign-off confirming the rule-bound credit is within the auto-credit cap and tied to a verified driversigns: Billing care manager (revenue-assurance authorized)
agent · high riskirreversible
Post the within-cap rule-bound credit/rebill adjustment to the billing system and revenue ledger
gate · human sign-off
Sign off every goodwill/discretionary credit above the auto-credit cap and any dispute implying a systemic over-charge (class/regulatory exposure)signs: Billing care manager (revenue-assurance authorized)
agent · high riskirreversible
Post the authorized goodwill/refund and rebill adjustment to the billing system, revenue ledger and payment rails
agent · low risk
Notify the customer of the resolution, log the audited driver-to-adjustment trail, and track repeat-dispute and credit-leakage metrics
Done
low riskmedium riskhigh riskbranch / reworkgate · human sign-off
Use this example
01
Download the file
A minctrl.process/v1 document: the graph and the hash of the process it becomes.
02
Import it in Processes
Import into Minctrl opens this example in your workspace; one click stores it as your first version. Import JSON does the same with the file, and a file changed after download is refused.
03
Connect your systems
Every connector starts in shadow: steps run, nothing leaves Minctrl until you configure a connector and switch it live.
04
Adapt it
Change signers, time limits and steps on the canvas. Each save is a new version; a running case stays on the version it started with.
Questions
How do I automate telecom billing dispute resolution with Minctrl?+
Start from this example. Import the file in Processes, connect your own systems, and adapt the steps on the canvas. Agents run the reversible steps; every irreversible step waits at a gate for the role you choose. The example has 8 steps and 2 gates; you can change any of them.
Is telecom billing dispute resolution in Minctrl auditable?+
Every run start, signature and change to the process is written to a hash-chained audit log your auditor can verify and export. A run is pinned to the exact graph it started on.
Does the AI decide everything?+
No. Minctrl will not make a process runnable while an irreversible step can be reached without a human gate, and one person cannot sign two gates of the same run.