One of the most common AI builds we are asked about is the sales response agent. The pattern is universal across UK B2B businesses: an inbound enquiry arrives, the team is busy, by the time someone replies a day or two later the prospect has already booked a call with a competitor.
This is a detailed walkthrough of what we would actually build for a typical UK B2B consultancy or services business. End to end.
The starting point
Picture a small B2B consultancy. Maybe twelve people. Selling services to mid-market UK businesses with deal sizes between £10,000 and £100,000. They get around forty inbound enquiries a month, through their website, LinkedIn, and referrals.
The current state: enquiries land in a shared inbox. Whoever is free reads them. Some get a quick reply, some get forgotten for a couple of days. Of the forty enquiries, around twenty turn into a call. Of those twenty, a handful become clients.
The owner suspects, correctly, that they are losing deals to slow response. They have no idea how many.
What the agent does
The agent does the front half of the sales process, end to end, with the team handling everything from the booked call onwards.
For each new enquiry, the agent:
- Reads the enquiry within seconds of it arriving.
- Pulls any existing context (past conversations, company information, LinkedIn data where available).
- Drafts a personal first reply, in the firm's voice, that acknowledges the specific thing the prospect mentioned.
- Asks a small number of well-chosen qualifying questions, calibrated to the firm's ideal customer profile.
- Once qualification is sufficient, offers a calendar slot for a discovery call.
- Books the call directly into the right partner's calendar.
- Creates the lead in the CRM with full context and a clean conversation summary.
- Hands off cleanly to a human if the conversation goes off the expected path.
The team walks into a calendar of warm, qualified, summarised conversations. They do not chase. They sell.
The build, week by week
Six weeks is realistic for a project like this.
Weeks 1 and 2: Discovery
Sit down with the partners. Understand the ideal customer. Capture the qualifying criteria, the dealbreakers, the firm's tone, the standard responses to common objections. Pull the last six months of inbound enquiries to use as test data.
Output: a written specification, agreed by the partners, of how the agent will behave. Plus a tagged dataset of past enquiries with what the right response would have been.
Weeks 3 and 4: Build
Connect the agent to the inbound channels (website forms, shared inbox, LinkedIn message integration where possible). Wire it into the CRM and calendar. Build the conversation logic, the qualification flow, the handoff triggers. Set up the activity log.
Output: an agent that can handle a real conversation end to end in a test environment.
Week 5: Internal testing
Run the agent against the historical enquiries in shadow mode. The team reads what the agent would have said and assesses it. Tune the conversation flow. Fix the awkward bits. Get the partners to a place where they trust it.
Output: alignment between the partners' expectations and the agent's behaviour.
Week 6: Soft launch
Go live for one channel first (typically the website form). Every interaction reviewed by a human in the first week. As confidence grows, the human review for the simple cases gets relaxed. Other channels added one at a time.
Output: a live agent, real prospects in real conversations, a measurable change in response time and conversion rate.
What gets integrated with
For a typical B2B consultancy, the integration list is straightforward.
- CRM (HubSpot, Pipedrive, Salesforce, Capsule, or similar).
- Email (Outlook or Gmail).
- Calendar (Google Calendar, Outlook, Cal.com, Calendly).
- Website form provider.
- Optionally, LinkedIn message API or a routing tool that handles it.
The biggest variable is usually the CRM. HubSpot and Pipedrive are easy. Older custom systems can need more care.
The agent's job is not to close deals. It is to make sure no qualified prospect ever waits more than a minute for a thoughtful first response. Closing is still very much a human game.
What it costs and what it returns
For a build like the one described, the cost typically lands in the £8,000 to £15,000 range, depending on the complexity of the qualification logic and how many channels need integrating.
Running cost is around £200 to £400 a month, mostly in AI usage and a small ongoing tuning retainer.
For a B2B consultancy doing forty inbound enquiries a month at the kind of deal sizes described, the maths is unforgiving in a good way. Even a modest improvement in conversion (say, two extra deals a year) usually pays back the build many times over.
The thing that surprises clients
The metric that moves first is response time. From an average of one to two days, down to under a minute. Customers notice. Reviews mention it. Word of mouth follows.
The metric that moves second is CRM data quality. Because the agent is creating leads, capturing details, and updating stages, the discipline that humans never quite manage just happens by default. Reporting becomes useful. Forecasting becomes possible.
The metric that moves third is partner time. Most partners, in our experience, end up using the time the agent saves to do the things they always knew they should be doing but never had time for. Better discovery calls. Better follow-up notes. Better long-term thinking.
What this is not
This is not a salesbot. The agent does not pitch. It does not negotiate. It does not pretend to be the partner. It is the polite, professional first response that everybody knows they should be doing and nobody has the time to actually do consistently.
If your B2B firm sounds anything like the description above, tell us about your current sales process and we will be straight about whether and how we would build this for you. Or, if you want a wider look at where AI fits across your business, our strategy audit covers it.