Your phone rang eight times before 10am this morning. Three calls were from clients with straightforward questions: "Is my policy renewal date June or July?" "Can I add my daughter as a named driver?" "Do I need to declare a minor speeding conviction?" By the time you took the fourth call, your team hadn't started on renewal letters. Sound familiar?
This is why chatbots keep appearing in your inbox. Software vendors promise they'll handle these routine queries automatically, freeing your staff for genuinely complex casework. The pitch sounds compelling. But is it actually worth the investment for a brokerage with 2, 5, or even 20 staff?
What a Chatbot Actually Costs
Let's start with money. Basic chatbot platforms like Drift, Intercom, or Tidio charge between £30 and £150 monthly depending on features. That's the software licence. Then you need to spend time building it. Someone in your office needs to sit down and write out every question clients might ask, then script sensible responses. For an insurance broker, that's more involved than you'd think.
You're not just answering "What's my renewal date?" You're deciding whether the bot should attempt to handle requests about claims, complaints, or policy queries. You need to think through edge cases. What if a client asks about a claim that's in dispute? What if they ask whether they're covered for something unusual? A badly configured chatbot will either refuse to engage (making it useless) or give wrong information (making it damaging).
A typical small brokerage would spend 30 to 50 hours setting up a chatbot properly. If your team bills at £30 to £60 per hour, that's £900 to £3,000 in labour before the thing ever goes live. Add training time, tweaking, and ongoing maintenance, and the true first-year cost often sits between £2,000 and £5,000.
When Chatbots Actually Work for Brokers
This isn't an argument that chatbots are pointless. They work well in specific scenarios.
The clearest win is handling known, repetitive questions at off-hours. If you receive twenty identical queries each week about renewal dates, payment methods, or certificate of insurance requests, a chatbot can handle these between 5pm and 9am without requiring staff intervention. Some clients genuinely prefer typing a question into a chat window over calling and waiting on hold. Older clients particularly often find this accessible.
Chatbots also work as gatekeepers. Instead of every inbound call going to your reception team, visitors to your website can describe their issue in text. The system routes simple queries to automation and flags complex ones (anything involving claims, compliance questions, or complaints) directly to the right team member. This can reduce the volume of irrelevant calls your staff handles.
Insurance brokers with high client churn or competitive pressure sometimes use chatbots to improve response times. If your competitors answer queries within 24 hours and you're slower, a bot offering instant responses to common questions improves perception even if it doesn't fully resolve every issue.
Where Chatbots Disappoint in Financial Services
Chatbots struggle with the work that actually matters in insurance broking.
Most cannot reasonably handle policy recommendations. A client asking "What home insurance do I need for a listed property with a hot tub?" requires knowledge of underwriting criteria, exclusions, and your specific panel of insurers. You might have five insurers willing to quote, each with different loading or exclusions for this scenario. A chatbot cannot make this judgement without either being dangerously vague (useless) or requiring someone to manually verify the recommendation (defeating the point).
Claims handling is even worse. Once a claim is involved, regulatory rules tighten. You have duties of care and documentation requirements. A chatbot telling a client "We've noted your claim" creates a false record that you've started the claims process when you haven't. This creates compliance headaches. Most brokers find it safer to route all claims queries to a human.
Chatbots also fail at nuance. Insurance conversations often require reading between the lines. A client might ask about accidental damage cover but actually be worried about water damage from a burst pipe. A human broker would ask clarifying questions and uncover the real need. A chatbot would answer the literal question and miss the actual problem.
The Honest Verdict for Small Brokerages
A five-person brokerage? Probably not worth it unless you're genuinely overwhelmed by the same question asked 50 times a week. You're better off improving your FAQ page and making your phone system clearer about which option to select for routine queries.
A fifteen-person firm with defined business lines (personal lines separate from commercial, for example)? Worth considering. You might reduce inbound call volume by 10 to 15 percent, which translates to real time savings.
A twenty-plus person firm or one receiving 100+ inbound calls weekly? Chatbots make more sense. The investment pays off in reduced interruptions and faster resolution of genuinely simple requests.
Before you commit, honestly count how many calls your team receives each week and categorise them. Track which questions repeat most often. If fewer than 20 percent of calls are truly routine, a chatbot won't move the needle. If 35 to 40 percent are simple, repeatable queries, you have a genuine case.
One final note. The best chatbots for brokers aren't flashy AI systems that try to chat naturally. They're functional tools that clearly move clients to the right answer or the right person. When a chatbot says, "This sounds like a claims query. Let me connect you with our claims team," that's valuable. When it tries to engage in warm conversation while being unable to answer real questions, it frustrates clients and wastes your reputation.
Technology should solve actual problems in your business. If you don't have a real problem, a chatbot is just another tool gathering dust.
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