Short answer: a voice agent can take over the chasing part of compliance work. Triggered by the GRC platform, it phones the vendor or control owner with full context, captures the answer, the committed document and the date in structured form, updates the record, schedules the next reminder and escalates non-responders to the risk owner with the transcript attached. It does not decide whether the evidence is good enough. That judgment stays with a named person.
The value is less about saving phone time and more about closing a gap in the record. Email requests go unanswered, spreadsheets of “chase list” items go stale, and a verbal promise made on a Tuesday call exists only in someone’s memory. This article sets out what belongs on the call list, how the workflow runs, where people must stay in control, and how to pilot it. It describes the approach of Crest.Digital’s own Voice AI product, JAM, and is not a general vendor comparison.
Crest.Digital’s Voice AI for GRC places evidence follow-up, intake and renewal calls in many languages and writes the outcome back to the record.
Explore Voice AI for GRCWhy the Weekly Call List Never Gets Finished
Most third-party risk programmes depend on information that someone else has to provide: an audit report, an insurance certificate, a policy acknowledgement, a remediation update. Sending the request is easy. Getting a reply is not, and the follow-up is where programmes stall. Staff work through the list when time allows, calls go to voicemail, and the outcome is typed into a note field, if at all.
That produces three recurring weaknesses. Requests have no consistent cadence, so items age without anyone noticing. Commitments are not recorded as dates the system can act on. And when an auditor later asks what was done about an overdue item, the answer is a recollection rather than a record. Questionnaires have the same problem on the collection side, as discussed in questionnaires are not due diligence; the call list is the human-effort version of it.
What a Voice Agent Actually Does, Step by Step
As described on Crest.Digital’s Voice AI page, the workflow has six stages, and the first and last belong to the platform and the people, not the voice.
The Platform Flags an Item
The GRC platform raises something that needs action: overdue evidence, stalled remediation or an approaching renewal.
The Agent Calls With Context
It phones the vendor or internal owner knowing what is outstanding, since when, and what was promised last time.
Answers Are Captured in Structured Form
Answers, dates and commitments are recorded in fields, not left in free text, when the call ends.
The Record Is Updated
Committed documents, revised deadlines and status changes are pushed to the evidence room or CRM.
Follow-Ups Are Scheduled
Further calls or WhatsApp reminders are set against the committed deadline rather than an arbitrary weekly cycle.
Non-Responders Are Escalated
At-risk or silent items go to the risk owner with the call transcript attached, so the escalation carries evidence of the attempts.
Crest.Digital states that JAM works across more than 30 languages, including 22 Indian regional languages, which matters for vendor bases spread across markets. Treat language coverage as something to test in your own pilot rather than assume, since accent, terminology and line quality vary.
Which calls belong on the list
The strongest candidates are repetitive, rule-based and easy to verify afterwards. For vendor risk these include evidence follow-up, onboarding intake questions, remediation check-ins, recertification outreach and offboarding confirmation. For internal teams they include control-owner check-ins, audit evidence scheduling, policy acknowledgement and compliance training follow-up. Scheduling evidence requests before fieldwork starts is a good example, because the agent only has to agree a date. For a related use of voice on customer calls, see voice AI in financial services and continuous call audit, which covers auditing calls rather than making them.
Where Humans Must Stay in Control
Automating the call does not automate the decision. A useful rule is that the agent may collect, remind and record, while people evaluate, accept and decide.
Before going live, confirm the controls around the agent itself. Disclose that the caller is automated where required. Check local rules on recording and consent. Decide how long recordings and transcripts are kept and who can read them. Verify that the agent is speaking to the right person before it discusses an account. And keep a log of what the agent said and did, in line with the expectations discussed in why AI agents need audit trails. Calls involving disputes, suspected fraud or regulators should route to a person at once.
Worked Example: Certificate Renewals (Illustrative)
This is a hypothetical scenario, not a customer case study. A manufacturer holds security certifications and insurance certificates for about 60 critical suppliers. Each quarter, a dozen certificates are within 60 days of expiry, and a coordinator emails each supplier, then calls the ones that do not reply, then updates a spreadsheet.
With a voice agent, the platform flags each expiring certificate. The agent calls the supplier contact, confirms the renewal status, records the promised upload date, and sends a reminder two days before it. If the date passes with no document, the item escalates to the supplier owner with the transcript and call history. The coordinator now reviews exceptions and validates the documents that arrive, instead of making fifty routine calls. The same pattern supports remediation follow-up, where overdue actions need a human-quality prompt but not a human every time.
A Six-Step Plan to Pilot a Voice Agent
Pick One Narrow Call Type
Start with a single workflow, such as chasing expiring vendor certificates or overdue evidence for one control family. A narrow scope makes accuracy measurable.
Define the Trigger and the Script Boundary
Decide which platform event starts a call (an overdue item, an approaching renewal) and what the agent may say, ask and promise. Anything outside that boundary goes to a person.
Specify the Structured Outcome
List the fields every call must return: who answered, what was committed, by when, which document, and any blocker. If a field is empty, the call is not complete.
Connect It to the Record
Make sure committed dates and documents land in the vendor file, evidence room or ticket, not in a separate transcript store nobody checks.
Run in Parallel With People
For a trial period, let staff review a sample of calls against the transcript. Set an accuracy threshold before widening scope, and note which languages and call types need tuning.
Set Escalation and Ownership
Name the risk owner who receives non-responsive items, the time limit before escalation, and who reviews exceptions. Log every agent action so the trail can be inspected later.
The pilot works best when voice is one channel in a wider continuous monitoring programme, where signals from the platform decide who gets called and why. The TPRM platform and the configurable agents on the Agentic GRC page provide the flags and the workflow around the call.
Talk to Crest.Digital about piloting voice-led evidence follow-up for your vendor onboarding and renewal cycles.
Four Questions Before You Automate the Call List
- Is the outcome structured? Does every call return a person, a commitment and a date the system can act on?
- Is it connected to the record? Do results land in the vendor file or evidence room, not a separate inbox?
- Where do humans decide? Who judges the evidence and accepts the residual risk?
- Can you show the trail? For one overdue item, can you show every attempt, when and what was said?
Share this with the owner of your evidence chase list. They already know which calls never get made.
Frequently Asked Questions
A voice agent is software that holds a spoken conversation, by phone, to carry out a defined compliance task such as chasing evidence, collecting onboarding answers or checking remediation status. Unlike a simple robocall it can handle interruptions, answer questions from approved company knowledge and record structured outcomes. The GRC platform decides when to call and what the call is for.
It can take over the repetitive part: placing the call, confirming a committed date, capturing the document owner and scheduling a reminder. People remain responsible for judging whether evidence is sufficient, deciding on risk acceptance and handling disputes, sensitive conversations and anything outside the agent’s script.
A transcript shows that a request was made and what was said. It does not prove that a control operated. Treat it as evidence of the follow-up and of the commitment, and still obtain and validate the underlying document or system record. Whether it satisfies a specific auditor is a question for that auditor.
Check local rules on call recording and consent, disclosure that the caller is an automated agent, data retention for recordings and transcripts, language accuracy, and how the agent verifies it is speaking to the right person. Your legal and privacy teams should approve the script and retention settings.
Calls that involve judgment, negotiation or sensitivity: contract disputes, suspected fraud, regulator communications, termination decisions and incident calls with legal implications. The agent can capture the first notification, but a named person should own the response.
For the bigger picture, see how Voice AI fits with agentic GRC and the TPRM platform.