AI agent development that does the work, not just the talking.
A chatbot answers questions. An AI agent takes action — it reasons through a task and gets it done: qualifying the lead, booking the meeting, updating the CRM, escalating only what truly needs a human. We design and build these systems end to end.
We built an AI support agent trained on three years of real conversation history — a production system, not a demo.
The difference is doing, not answering.
A receptionist who can only read from a card — versus one who actually books the room, updates the calendar, and emails the client.
- —Follows a script and stops the moment anything real needs doing.
- —Lives in a sealed-off chat box, disconnected from your systems.
- —Hands every real task back to a human to finish.
- Understands a goal, decides the steps, and acts.
- Calls your tools — reads and writes to your real systems.
- Chains multiple actions, and knows when it's out of its depth.
It runs a loop: perceive, reason, act, observe.
A chatbot answers and stops. An agent cycles — it reads the situation, decides the next step, takes a real action with your tools, then checks the result, and goes again until the task is done.
Perceive
Reads the incoming request and the current context.
Reason
Decides the next step and which tool to use.
Act · call a tool
Runs a real action in your systems.
Observe
Checks the result, then loops or finishes the task.
Three real jobs, taken from trigger to outcome.
That same loop, running across your existing tools. Here's how it plays out for the three jobs we automate most.
Call booked
Sequence
Newsletter
Reply sent
Suggestion
Records syncedDaily reportTeam pingedSix places autonomy pays for itself.
Acts across your tools
Not a sealed-off chat. The agent reads and writes to your CRM, calendar, helpdesk, and database — completing tasks, not describing them.
Grounded in your dataRAG
Trained on your documents, history, and knowledge with retrieval — so every answer and action comes from your business, not the open internet.
Runs multi-step work
Qualify → enrich → route → follow up → log. The agent chains the steps a task actually takes, end to end, with no human stitching them together.
Knows its limits
Clear guardrails for when to act and when to escalate, with full context handed to your team. Autonomy where it's safe, humans where it matters.
Works around the clock
It doesn't wait for office hours. Tasks get handled the moment they arrive, day or night — no queue building up overnight.
Built on your stack
Claude, GPT-4, HubSpot, Twilio, Supabase, Make — and 100+ tools. The agent fits the systems you already run.
One task, one unbroken chain.
A single inbound lead, carried through every step in order — no human stitching the tools together.
Qualify
Score the lead against your rules
Enrich
Pull company and contact data
Route
Send to the right owner
Follow up
Send the first reply, on time
Log
Write it all back to the CRM
Four steps from idea to a system that carries the load.
Map the job
In the free audit we pin down exactly what the agent should own — the task, the tools it touches, the hand-off points. Scope and plan before a line of code.
Train it on your world
We feed it your documents, data, and past conversations through a retrieval layer (RAG), so it reasons from your real information instead of guessing.
Connect and constrain
We wire it into your tools and set the guardrails — what it does autonomously, what it escalates, what it never touches. You stay in control.
Launch and harden
It goes live, we watch real runs, and we tighten it until it reliably carries the load on its own.
An AI support agent trained on three years of real conversations.
At Acavent, we built a support agent that handles the repetitive questions on its own and routes the genuinely tricky ones to a human — with full context attached. A production system running on real conversations, not a demo.
That's what separates an agency that talks about agents from one that ships them.
AI agents, answered.
See what an AI agent could run for you.
Book a free 30-minute audit. We'll find the task worth handing to an agent and show you exactly how it'd work — before you spend a cent.