Business result before technology
We begin with the process and the outcome you need, then choose the simplest tools that achieve it. If an agent is not the right answer, we say so.
About META
AI should make work simpler—not make business more complicated.
META combines marketing, customer journey thinking and automation engineering to build AI agents that solve practical business problems. We begin with the process, define the result, connect the right tools and keep people in control.
Enquiry
WhatsApp · web · phone
Qualify
5 questions, client criteria
Book
Real availability only
Handoff
Summary travels with it
The whiteboard every engagement starts with: one process, four decisions.
Principles
Three things we will not compromise on.
Human control by design
Permissions, escalation rules and approval points are part of the design from day one—not features added after something goes wrong.
Build, measure, improve
Every agent launches with agreed metrics and a review rhythm. Real conversations teach us what to refine, and we refine it.
How we work
One method, every engagement.
The same four steps whether the agent answers WhatsApp messages for a clinic or reconciles CRM records for a distributor.
Step 1
Discover
Map the journey, the repetitive tasks and the current tools.
Step 2
Design
Define what the agent knows, can do, and when a person takes over.
Step 3
Build & test
Connect channels and systems, test real scenarios, add safeguards.
Step 4
Launch & improve
Monitor, refine and expand what the agent can handle.
Workshop photograph for illustration. Portraits of the META team will replace it.
The team
The people behind the agents.
We are a small team that has spent years in marketing, customer operations and automation. We build the agents ourselves and stay close to every launch.
Team profiles coming soon
Genuine names, biographies and professional photographs will be added here. We do not publish placeholder people—only the team you will actually work with.
Let’s look at one process together.
A 30-minute conversation is enough to tell whether an agent fits—and what the first version would look like.
Free 30-minute automation assessment.