01 / LINKEDIN DRAFT Reviewed
More ideas.
One distinct voice.
Good marketing sounds like you. AI helps with the draft. Your experience gives it a point of view.
Your brand. Your point of view.
Add a human in the loop
Scale your AI marketing with confidence—without personally checking and fixing everything.
Our experts review your AI-generated content and automated customer journeys. We check brand voice, credibility, and judgment—and help resolve what needs fixing.
More ideas.
01Brand voiceSpecific beats generic.
02Claim checkWhat supports this promise?
Reviewed.Ready to publish.
01 Draft02 Check03 Refine04 Ready
Review complete. Content refined and ready to publish.
AI does the heavy lifting.Human judgment makes the difference.Content / Automation
Built on TrackFunnels’ experience in
- GA4 & conversion tracking
- MarTech integrations
- Marketing automation
Sound familiar?
AI creates more.
You still check everything.
The draft is done. The review, corrections, and judgment calls still land on your desk.
Brand voice & credibility
The draft is ready. It still doesn’t sound like you.
AI gets the structure right, but the copy sounds generic, misses your positioning, or makes a claim you can’t stand behind. You end up rewriting it.
The familiar task“Can you just check the tone and verify these claims before we post?”
Automated journeys
One wrong call can trigger a whole sequence.
A lead gets the wrong label. An existing customer enters a prospect journey. You keep checking the logic because a small mistake can reach a lot of people.
The familiar worry“Is this the right audience, message, and next step?”
Approval bottlenecks
Everything is ready—except approval.
Drafts pile up in inboxes and chat threads. Nobody is sure who needs to decide, what they’re checking, or whether the latest version is approved.
The familiar chase“Which version did we approve, and who’s holding this up?”
Review overhead
The time saved goes back into checking.
AI produces more, but every output still needs your attention. You’ve become the final reviewer for content, exceptions, and decisions across the team.
The familiar trade-off“I saved time creating it. Now I’m spending that time checking it.”
Case Study
Many markets.
One brand voice.
A human review loop for AI-assisted LinkedIn content.
A company operating across multiple countries wanted to grow its LinkedIn presence. It equipped local marketing teams with an AI content agent to create and refine posts at scale. The agent performed well, but some drafts drifted from the brand guidelines, tone of voice, and positioning.
TrackFunnels became the human review step before publication. We review original drafts alongside AI revisions, catch errors and brand inconsistencies, and give writers specific feedback to refine their prompts and make the content sound more human.
The approach: Human judgment before posts go live, with feedback that helps local teams improve their next draft.
Explore review use casesOne brand. Many local voices. Human judgment built in
01 · Create
Local marketing teams
Local knowledge.
A shared brand direction.
02 · Refine
AI-assisted drafts
Ideas become posts.
AI helps refine them.
03 · Review
A human in the loop
Brand voice. Positioning.
Errors caught before publishing.
04 · Publish
LinkedIn-ready content
Locally relevant.
Consistent with the brand.
Feedback goes back to writers. Better prompts. More human content. A stronger next draft.
How it works
A clear process.
Judgment in the right places.
- 01
Map the workflow
Review the inputs, connected tools, decisions, and current failure points.
- 02
Define the checks
Agree which actions can proceed and which need a named reviewer.
- 03
Build & test
Implement validation, approvals, alerts, and a record of reviewed decisions.
- 04
Measure & improve
Assess review effort, exceptions, and data quality against the starting point.
Your first step
One workflow.
Four weeks.
A clearer way forward.
Start with a focused pilot around a workflow your team already uses or is preparing to launch.
We agree the scope, review responsibilities, and success criteria before implementation.
Pilots from€2,000Fixed quote after scoping.
Software subscriptions and applicable taxes are additional.
Request a pilot quote Software subscriptions and applicable taxes are additional.
What your pilot includes
One workflow · Up to three connected systems
- Workflow map and baseline assessment
- Validation rules and approval criteria
- Implemented review and exception process
- Testing against agreed scenarios
- Results review and practical documentation
- Team handover with clear ownership
Keep improving after the pilot
Ongoing oversight can include exception reviews, quality reports, and workflow improvements. Review volume and response times are scoped separately.
Specialist-led, from the first conversation
Hi, I’m Malik.
I work where marketing, engineering, and data meet.
My work at TrackFunnels focuses on making measurement understandable, data flows reliable, and marketing systems easier to operate across teams.
Human in the Loop brings that same approach to AI workflows: clear checks, practical ownership, and a setup your team can understand.
Talk through your workflowShadab Malik Founder, TrackFunnels · Berlin
Before we start
A few practical
questions.
Who reviews the decisions?
We agree this during scoping. TrackFunnels can review technical exceptions and data quality. Your team owns decisions requiring internal commercial or product knowledge. Each review point has a named owner.
Will every action need human approval?
Each workflow gets defined review rules. Routine actions that meet the agreed checks can proceed automatically. Exceptions and selected high-impact decisions go to a reviewer.
Can you work with our existing tools?
We assess your current tools, integrations, and access requirements during the initial conversation, then confirm the supported scope. The pilot focuses on one workflow and up to three connected systems.
What does the €2,000 starting price cover?
It covers a scoped four-week pilot: assessment, review rules, implementation, testing, documentation, and handover. The final quote depends on workflow complexity and review volume. Software subscriptions, taxes, larger integrations, and ongoing oversight are additional.
How will we know the pilot worked?
We agree success criteria at the start, such as less time spent checking records, more consistent classification, or clearer handling of exceptions. The final review compares the results with that baseline.
What happens after the pilot?
Your team receives documentation and a handover. If ongoing support is useful, we agree a separate scope covering review volume, response times, and improvements.
Bring us one workflow
Let AI do more.
Take less home.
Tell us what it does, where your team keeps checking,
and what a dependable outcome would look like.
Start with a conversation. Get a clear scope before committing.