AAcme Corp

We build AI agents that answer calls, qualify leads, and handle support — so your team doesn't have to.

Service businesses lose revenue every day to missed calls, slow follow-up, and repetitive support questions. We build the agents that close those gaps — quietly, reliably, without disrupting what's already working.

Built for

SMBs and service businesses where every lead matters and the team is already stretched — not enterprise organisations with a dedicated automation function.

What changes

Faster lead response. Fewer dropped calls. Less time on repetitive inbox and support work. More of your team's time on the work that actually needs human judgement.

How we work

Services engagement — we build to your stack, your workflow, your voice. Not a platform you configure yourself. We own the outcome, not just the deployment.

What it looks like in practice

Real scenarios — real problems solved. No fabricated outcomes.

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Missed Call & Lead Response

Missed calls converted to booked appointments — without a receptionist

HVAC company, ~15 field technicians, heavy inbound volume in peak season

During summer peak season, the office team couldn't keep up with inbound call volume. Calls went to voicemail, follow-up was inconsistent, and estimates suggested a meaningful share of missed calls were walking away to competitors before anyone called back.

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Missed Call & Lead Response

After-hours calls captured and intake started before morning

Personal injury law firm, regional, significant after-hours inbound volume

Prospective clients often call during evenings and weekends — frequently in distress and looking for immediate reassurance. The firm had no after-hours coverage. Calls went to a generic voicemail, follow-up happened the next business day, and an unknown proportion of callers had already retained another firm by then.

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Outbound Pipeline

Personalised outbound at volume — without a research team

B2B SaaS company, 30-person team, no dedicated SDR function

The sales team was responsible for their own prospecting. In practice, this meant sporadic outreach with limited personalisation — they didn't have time to research properly and still hit meetings. The pipeline was thin and inconsistent.

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Customer Support

Support inbox handled in the team's voice — drafts ready before staff arrive

E-commerce brand, 8-person operations team, high support volume relative to team size

The support team spent a significant portion of every morning working through an overnight inbox backlog — mostly order status questions, return requests, and shipping queries that required checking two or three internal systems and writing a consistent response. The work was necessary but not where the team added value.

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Customer Support

Tier-1 queries resolved automatically — complex cases escalated with context

Managed services provider, B2B, structured support tiers with SLA requirements

Tier-1 support was a bottleneck. A large share of inbound tickets — password resets, connectivity checks, standard configurations — were going through the same queue and triage process as genuinely complex issues. SLA timers started running from first ticket receipt regardless of complexity, which put pressure on the team for tickets that shouldn't require their time at all.

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Personalisation & Engagement

Returning customers receive recommendations based on what they've actually bought

Specialty home goods retailer, online-first, strong repeat customer base

Repeat customers were receiving the same email campaigns as first-time buyers — same promotions, same product spotlights, same generic copy. The marketing team knew this was wrong but lacked the setup to run truly individual recommendations at any real scale.

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How an engagement works

We work as a services team, not a software vendor. That means we own the build, the deployment, and the ongoing operation — not just hand you a tool and walk away.

Step 1

Discovery

We spend time understanding your actual workflow — the tools you use, where leads drop off, what your team handles manually. No assumptions, no template solutions.

Step 2

Build

We build the agent against your real systems — your CRM, your inbox, your phone setup. The goal is a solution that works with what you have, not one that requires you to change everything.

Step 3

Deploy

We deploy in a controlled way — often running in parallel with your existing process first, so you can see the output before it goes live. No big-bang cutover.

Step 4

Support

Once live, we monitor, adjust, and improve. If something changes in your business, we update the agent. You have a direct line to us — not a support ticket queue.

Let's look at your setup — no pitch, no commitment.

A 30-minute discovery call. We'll understand what you're dealing with, tell you honestly whether there's a fit, and show you what a realistic engagement looks like.