Short answer: the TPRM platform watches third parties and scores their risk. Agentic GRC puts configurable AI agents around internal functions such as internal audit, compliance, enterprise risk and finance. Voice AI, Crest.Digital’s JAM agent, acts on what either one flags by phoning the people who owe you evidence or answers. Detection, decision and follow-up stay separate jobs. What joins them is the record: what was flagged, who was contacted, what was committed and who reviewed it.
This article is based on the descriptions on Crest.Digital’s own solution pages. It explains the logic of the split and does not promise how any specific deployment is wired. Integration details, data flows and approval steps should be confirmed in scoping.
Crest.Digital offers a TPRM platform, Agentic GRC and Voice AI for GRC. Each answers a different question.
Talk to the TeamThree Jobs: Watch, Test and Follow Up
A governance programme has to do three things repeatedly. It has to see changes in the outside world, test whether internal controls still work, and make sure people respond when something is wrong. Treating all three as “GRC software” hides which one is actually weak in your organisation.
TPRM Platform: Watch the Outside
Vendor due diligence, risk scoring, screening against global watchlists and 365-day monitoring of adverse media, sanctions and court events. Its focus is the external party: who they are, who owns them and whether their risk is changing. The TPRM page lists eight packaged solutions, from vendor due diligence to distributor risk and audit analytics.
Agentic GRC: Test the Inside
Configurable agents for internal audit exception monitoring (procure-to-pay, order-to-cash, inventory), compliance obligations, emerging risk, internal financial controls, finance, ITGC and AI governance. The Agentic GRC page says workflows are built around the client’s own processes, data and thresholds, with a human review step to approve, override or reject agent decisions.
Voice AI: Follow Up With People
A multilingual voice agent that calls vendors and internal owners for evidence follow-up, onboarding intake, remediation check-ins, renewals, audit scheduling and incident intake, then records the outcome in structured form. See Voice AI for GRC.
The agents inside the TPRM platform
The platform also carries seven TPRM agents: Vendor Outreach, Questionnaire Intelligence, Continuous Monitoring, Risk-Based Scoring, Finance, Screening and Efficiency agents. They are specialised for third-party work, such as chasing vendor documents or detecting financial distress, whereas Agentic GRC is the configurable layer for functions beyond vendor risk. If you want the underlying logic of agentic assessment, read agentic vendor risk assessment; for the wider category, see agentic execution in GRC platforms.
How Work Passes From One to the Next
The cleanest way to think about the three is as a handoff chain. Something is detected, a person decides whether it matters, and someone chases the response. Crest.Digital describes this chain explicitly for voice: a GRC platform flags an item such as overdue evidence, stalled remediation or an upcoming renewal; JAM calls the vendor or internal owner; answers, dates and commitments are captured in structured form; committed documents and revised deadlines go to the evidence room or CRM; follow-ups are scheduled; and silent or at-risk items escalate to the risk owner with the transcript attached.
Two design questions follow from that chain, and they apply to any vendor of such tools, not only Crest.
Who owns the channel when the first attempt fails?
The Vendor Outreach Agent works through email follow-ups and escalations, while the voice agent works by phone. Decide in advance when an unanswered email becomes a call, how many attempts are allowed and who is told when the attempts run out. Without that rule, two automated channels can contact the same vendor contact twice in a day.
Where does a person approve?
The Agentic GRC page describes a human review step before actions such as escalation or routing. The TPRM Agents page describes the agents as acting with humans in the loop, but also states that some outreach emails are sent without human intervention. Neither is wrong, but they are different control designs. Write down which actions run unattended and which need approval, and make sure overrides are logged. The reasoning is the same as in our piece on why AI agents need audit trails.
Worked Example: One Vendor, Three Signals (Illustrative)
This is a hypothetical scenario, not a customer case study. A distributor supplies a manufacturer and is paid through the normal procure-to-pay process.
On the internal side, an agent monitoring procure-to-pay flags repeated three-way match exceptions on invoices from the distributor. A finance reviewer looks at the exceptions and finds them to be a mix of pricing differences and one genuinely duplicate invoice. That review is the decision, and it belongs to a person. Pattern types like these are covered in our article on exception monitoring across the revenue side, which is the mirror image.
On the external side, the TPRM platform shows that the distributor’s certificate is close to expiry, and its monitoring picks up a court event. Together with the exceptions, this is enough for the risk owner to trigger a reassessment of the distributor. Because the certificate is outstanding, the voice agent phones the distributor’s contact, records the promised upload date and sends a reminder before it. If the date passes, the item escalates with the transcript. For the underlying review of what arrives, see reviewing a vendor SOC 2 report.
No single tool saw the whole picture. Each handled the part it is designed for, and the record shows the sequence. Whether your own systems would connect in this way depends on scoping.
Which One Should You Start With?
Start where the pain is most specific and measurable.
If your exposure is outside the company
Begin with the TPRM platform. The page describes three engagement models: Full Service (platform plus managed services), Self-Managed (platform-only licensing) and One-Time Reports for specific decisions. A lean team in a regulated industry may prefer the managed option, while a mature team may only need the licence. For fundamentals, see what is third-party risk management and the enterprise TPRM guide.
If a repetitive internal process is the problem
Begin with Agentic GRC, and pick one process: for example, a continuous review of purchasing exceptions or a specific compliance obligation. Crest says the entry point is a conversation about one repetitive GRC process, followed by a demo. Governance of the agents themselves matters here, as set out in the enterprise AI governance guide.
If the real bottleneck is chasing people
Begin with a narrow voice pilot, such as expiring certificates or overdue evidence. Our article on voice agents for evidence chasing sets out a pilot plan. It works best alongside continuous monitoring, since monitoring decides who gets called and why.
Bring one process and one vendor group to Crest.Digital and see how detection, review and follow-up would connect, from vendor onboarding onwards.
Four Questions for Any Platform Evaluation
- Which job is weakest? Watching third parties, testing internal controls, or following up with people?
- Where does a person approve? Which actions run unattended, and which wait for review?
- Where does the record live? Can you trace one item from flag to closure, including overrides?
- Who owns each channel? When email fails, what happens next, and who is told?
Share this with whoever owns your GRC tooling roadmap before the next vendor demo.
Frequently Asked Questions
A TPRM platform focuses on external parties: onboarding, due diligence, screening, scoring and continuous monitoring of vendors, distributors and customers. Agentic GRC applies configurable AI agents to internal functions such as internal audit, compliance, enterprise risk, finance and IT general controls. They address different exposures and are often used together.
No. As Crest.Digital describes it, the voice agent plugs into a GRC platform: the platform flags an item, the agent makes the call, and the outcome goes back to the evidence room or CRM. It handles follow-up and capture, not detection or the judgment about whether evidence is acceptable.
Not necessarily. Many teams will start with one that matches their most specific problem and add others later. The value of combining them comes from handoffs, so it is worth asking early how each would pass information to the others in your environment.
Agentic GRC describes a review step where people approve, override or reject agent decisions, with client-set rules and thresholds. For the TPRM agents and the voice agent, define in scoping which actions need pre-approval, which calls must go to a person, and who reviews exceptions.
Treat published performance figures as vendor claims until tested on your data. Run a parallel pilot on one narrow workflow, set an accuracy threshold in advance, and ask for the complete trail of one item from flag to closure, including who approved and what was overridden.