Taking Routine Calls Off Brokers' Desks: AI for Renewals, Adjustments and Claims Updates

A broker's expertise is in placing cover, advising clients and fighting their corner on a claim. A large part of the working day goes on something else: confirming a renewal date, changing a registration number, taking a card payment, reading out a claim status. Those calls matter to the customer, but they rarely need a broker's judgement.

AI removes manual call handling for brokers by answering routine calls end to end: verifying the caller, reading or updating the policy, taking payment where needed, and logging the outcome. Renewal queries, mid-term adjustments, document requests and claims status updates are the usual starting points, with complex or sensitive calls passed to staff with full context.

TL;DR

• Routine broker calls follow fixed steps, which is what makes them suitable for AI.
• A mid-term adjustment needs identity verification, a payment and a policy update. AI Voice Agents can complete all three in one call.
• Size the opportunity with your own call data: volume by call type, average handle time and the share that follows a standard path.
• Brokers stay involved where advice, negotiation, vulnerability or complaints are involved.

Which broker calls can AI handle on its own?

The calls that suit AI share three features: the customer's goal is clear, the steps are the same each time, and the answer comes from a system rather than a judgement. The table sets out the main candidates.

DigitalWell's Insurance Brokers & Providers page lists the same set of call types for its AI Voice Agents, with every call logged, structured and searchable.

Why are mid-term adjustments the clearest case?

Because they're frequent, routine and expensive to handle manually. DigitalWell estimates that a phone-assisted mid-term adjustment costs an insurer around €15 to €20 in agent time, systems and admin, for a change the customer could describe in a minute.

The work behind that minute is what takes the time. The agent verifies the caller, finds the policy, makes the change, calculates any extra premium, takes the payment, keeps the card details out of the recording, and writes up the call. AI Voice Agents on DigitalWell's AI Voice Network complete the verification, payment and policy update in a single call, with a full audit trail.

How can a broker size the time saved?

Use your own data rather than an industry average. The calculation is simple, and the inputs usually sit in the phone system and the broker platform already.

1. Pull a month of calls by type. Use your call reasons, IVR options or a sample of recordings to split calls into the types in the table above.
2. Measure average handle time per type, including after-call work such as notes and follow-up emails.
3. Estimate the share of each type that follows the standard path. A sample of a few dozen recordings per type gives a working estimate.
4. Multiply. Calls per month × share on the standard path × average handle time = hours per month that AI could take on for that call type.
5. Add after-call work saved on the calls brokers still handle. AI summaries reduce note-writing even where a person takes the call.
6. Price it. Use your own cost per staff hour, and set it against the cost of the AI service.

The result is a number your finance director can check, built from your own calls. It also tells you which call type to automate first: usually the one with the highest volume on the standard path.

What happens to the calls that still need a broker?

They get better, because they arrive with context. When an AI Voice Agent passes a call over, the broker sees who the customer is, that they've been verified, and what they've already asked. The customer doesn't repeat themselves.

The calls that stay with brokers are the ones where expertise counts: advising on cover, handling a disputed claim, dealing with a customer in financial difficulty, and complaints. Freeing brokers from routine calls gives them more time for those.

Routine call volume also stops tracking headcount. For a broker group growing by acquisition, as DigitalWell's article on buy-and-build brokers describes, that means new books of business can come on without hiring at the same rate.

What has to be in place first?

Three foundations decide how quickly AI can take calls off desks.

Integration with the broker platform. The AI needs to read policy data and, for adjustments, write changes back. Broker back-end systems can be difficult to integrate with, so ask for a reference. DigitalWell has proven integration between Applied Connect, the core quoting platform used by Irish brokers, and Genesys Cloud CX.

Card-safe payments. Under the PCI Data Security Standard, card security codes can't be stored after authorisation, including in call recordings. AI payment handling keeps card data out of recordings by design. DigitalWell's guide to call recording for insurers covers the alternatives.

A clear handoff design. Decide which triggers send a call to a person, and make sure the summary goes with it.

The phone system doesn't have to change. Because the AI Voice Network runs at the network layer, it works with whichever phone or contact centre platform the broker already uses.

Which regulatory points apply?

The Central Bank's revised Consumer Protection Code, in force since 24 March 2026, covers how firms inform customers, handle errors and complaints, and keep records. AI-handled calls are still regulated interactions, so they need the same record-keeping and complaint routes as any other call. The automatic transcript and summary for every AI call help here.

Customers should also be told they're speaking to an automated assistant. Article 50 of the EU AI Act has required this for AI systems that interact with people since 2 August 2026. UK brokers working under the FCA should apply the Consumer Duty's expectation of clear communication and easy access to support.

Frequently Asked Questions

Can AI really complete a mid-term adjustment without a person?

Yes, when it's connected to identity verification, payment and the policy record. DigitalWell's AI Voice Agents complete all three in one call, with an audit trail.

Will customers accept AI on routine calls?

Callers with a routine request usually want the change made quickly. Tell them up front they're speaking to an automated assistant, and make it easy to reach a person at any point.

Do we need to replace our phone system?

No. The AI Voice Network runs in DigitalWell's voice network and works with existing phone and contact centre platforms.

Which call type should we automate first?

Usually the one with the highest volume on the standard path. For many brokers, that's renewal and premium queries or document requests, because they need read-only access.

How does AI handle a customer who's upset about a claim?

It shouldn't try to resolve it. Distress, disputes and complaints should trigger a handoff to a person, with the conversation so far attached.

Key Takeaways

• Routine broker calls have a clear goal, fixed steps and system-based answers, which makes them suitable for AI.
• Mid-term adjustments are the clearest case: DigitalWell estimates €15 to €20 per phone-assisted change, and AI can complete verification, payment and update in one call.
• Size the opportunity with your own data: calls by type × share on the standard path × handle time.
• Brokers keep the calls that need advice, negotiation, empathy or a complaint process, and those calls arrive with context.
• Integration with the broker platform, card-safe payments and a handoff design are the foundations.

Want to know how many hours routine calls cost your team each month? Book an Insurance Operations Review and DigitalWell will size it from your own call data.