Optimect Agency designs and builds AI & agentic systems for marketing teams — connecting ads, analytics, CRM and sales data into one pipeline, then deploying agents that monitor, qualify and act with human approval where it matters.
AI & agentic systems are connected data pipelines paired with
autonomous software agents that monitor performance, flag anomalies, qualify
leads and take approved actions across your marketing and sales stack —
turning raw data from Google Ads, Meta, GA4 and your CRM into measurable,
automated outcomes.
At Optimect, we help ambitious brands outgrow the manual reporting loop.
Instead of a marketing team that spends its week pulling numbers into
spreadsheets, we connect your ad platforms, analytics, CRM and sales data
into one pipeline, then deploy AI agents on top of it — agents that watch
the numbers continuously and act on your behalf, with a human approving
every consequential decision.
Most "AI for marketing" tools are chatbots bolted onto a dashboard — they
answer questions but cannot act, and they were never connected to your real
data in the first place. An agentic system is different: it is software
engineering, not a plugin. It reads live data from your ad accounts, your
warehouse and your CRM, reasons over it with clear rules and large language
models, and executes defined actions — a budget alert, a lead score, a
Slack message, a report — inside guardrails your team sets.
An AI agent is only as good as the data layer beneath it. If your
tag management and analytics
setup is incomplete, any agent built on top of it will make decisions on
incomplete information. That is why we treat data architecture as the
foundation of every agentic system we build, not an afterthought bolted on
at the end.
Many marketing teams are drowning in dashboards while still making
decisions on gut feeling. You likely need a connected AI agent system if
your brand is experiencing any of the following:
A connected AI agent system replaces this guesswork. We do not sell you a
chatbot — we build the data pipeline and the agents that sit on top of it,
so decisions get made and acted on continuously, not once a week.
As an AI and agentic systems partner, we design and engineer the full
stack — from the data pipeline to the agents that act on it — tailored to
your marketing and sales operations. Our work spans three connected
layers:
We pull data from Google Ads, Meta, GA4 and your CRM into a central
warehouse like BigQuery, so every agent and every report works from one
source of truth instead of five disconnected exports. This is the same
data foundation behind our
marketing analytics and BI
work — built once, used everywhere.
On top of that pipeline, we deploy purpose-built agents: budget-pacing
monitors that flag overspend before it happens, anomaly detection on
conversion drops, lead qualification and scoring agents that route hot
leads instantly, and reporting agents that turn raw numbers into a
plain-language summary — continuously, not once a week.
Agents need somewhere to act. We connect them to your CRM, Slack, email
and internal tools through orchestration platforms like n8n, Make or
Zapier, so an agent's output becomes a real action — a CRM update, a
Slack alert, a routed lead — with human-in-the-loop approval built into
every step that matters.
Deploying agents without a data foundation is how "AI projects" fail. We
follow a structured 5-step methodology that builds the pipeline first,
then earns autonomy for each agent step by step, folding in the same
martech and digital
transformation discipline we apply across every connected system we
build.
We start by mapping your existing stack — ad accounts, GA4, CRM, sales
data and any tools already in place — and identify what's missing,
duplicated or untracked. This is also where we flag data ownership,
retention and privacy requirements under GDPR and KVKK.
We design and build the connected pipeline that feeds every agent —
typically routing ads, analytics, CRM and sales data into a central
warehouse such as BigQuery — establishing the single source of truth
every subsequent agent and report will rely on.
For each use case — budget pacing, anomaly detection, lead scoring,
reporting — we define exactly what the agent monitors, what decisions
it's allowed to make, and where a human must approve before it acts.
Guardrails come first; autonomy is earned.
We launch the first agent in a supervised mode: it recommends and
flags, your team approves, and every action is logged. This builds
trust in the system before we expand its authority.
As trust builds, we expand agent scope, tune thresholds and add new use
cases, folding the system into the same weekly optimization rhythm we
run for paid media and analytics — so it keeps improving, not just
running.
Building agentic systems requires more than an API key and a prompt. It
requires a partner who treats your data as infrastructure and your agents
as accountable software.
02
When Do You Need AI & Agentic Systems?
03
What We Build and Deploy.
Connected Data Pipelines — Ads, GA4, CRM & Sales Data
AI Agents — Monitoring, Scoring & Reporting
Workflow Automation & Integrations
04
How We Build Your Agentic System.
"An agent should never act on data you don't trust, or without a human
able to see and stop it."
01
Discovery & Data Audit
02
Architecture & Data Pipeline
03
Agent Design & Guardrails
04
Pilot With Human Approval
05
Scale & Continuous Optimization
05
Why Choose Optimect for AI & Agentic Systems?
Engineering, Not "AI-Washing"
We build real data pipelines and governed agents — not a chatbot widget
bolted onto your existing site or dashboard.100% Data Ownership & Governance
Every account, pipeline and agent we build runs inside infrastructure
set up in your name, with GDPR- and KVKK-aligned data handling and
human-in-the-loop approval by default.One Connected Growth System
Your agents plug into the same live Looker Studio dashboards and weekly
optimization rhythm we already run for
paid media and
analytics — not a siloed side project.
06Frequently Asked Questions
AI agents in marketing are software programs that monitor live data —
from ad platforms, analytics or your CRM — and take defined actions such
as flagging an anomaly, scoring a lead or sending an alert, instead of
just displaying a dashboard for a human to interpret.
Yes. An agent is only as reliable as the data it reads, so we always
start with a data audit and, where needed, a proper
GTM and analytics setup before any agent goes live —
otherwise it will automate bad decisions faster.
No. We design every agent with human-in-the-loop approval for
consequential actions, so your team reviews and approves decisions
rather than being replaced by them — agents remove repetitive data
work, not judgment.
Yes. Every pipeline and agent we build runs on accounts and
infrastructure set up in your name, with data handling
aligned to GDPR and KVKK requirements, so you retain full ownership and
control.
We typically connect Google Ads, Meta, GA4 and your CRM into a
warehouse such as BigQuery, then build agents using LLM APIs and
orchestration tools like n8n, Make or Zapier to trigger actions in
Slack, email or your CRM.
Timelines depend on how connected your existing data stack already is,
but a first supervised pilot agent is typically feasible within a few
weeks of us gaining access to your ad, analytics and CRM data.
Tell us about your goals — a senior specialist gets back to you within 24 hours.
