Execution that keeps up with the plan.
AI handles research, drafts, variants and reporting preparation; a marketing specialist owns brand judgement, approvals, publishing and the exceptions automation cannot understand.
Execution. Control. Intelligence.
Three connected layers keep the work moving without turning automation into another black box.
Handle the stable, repeatable steps.
Approve, resolve exceptions and own sensitive judgement.
Measure quality, workflow health and what users are telling you.
What you can get off your plate.
Drafting and reporting take automation well. Brand judgement and publishing decisions do not. We scope the role around that line rather than promising AI will do all of it.
Content scheduling
Publishing calendars maintained and content queued across the channels you choose.
Email marketing
Campaigns built, segmented, tested and sent using your lists, templates and approval process.
Paid campaign support
Campaign setup, routine monitoring and performance checks, with issues flagged for the person who owns strategy.
SEO housekeeping
Metadata, internal links, alt text and repeatable on-page tasks kept current across your site.
Community management
Comments, messages and mentions handled in your agreed tone, with clear escalation rules.
Performance reporting
A consistent summary of activity, results and notable changes so the team does not have to reconstruct the week.
Automate what is stable. Keep human ownership where judgement begins.
The workflow separates repeatable execution from the moments that require a person. AI agents and automation handle stable steps; a named human owner handles judgement, approvals, exceptions and final accountability.
Do not just run the workflow. See how it performs.
The platform brings AI-agent and human-owner performance, Auto QA, scorecards and operational signals into one view. For customer-facing workflows, it also surfaces sentiment, pain points, feature requests and recurring conversation themes.
Explore the platform →Create a repeatable quality layer around AI and human execution.
Measure workflow quality, completion and review performance.
See where automation needs human intervention most often.
Track completion, bottlenecks and recurring friction.
Less manual coordination. More visible execution.
Capacity matters, but the bigger gain is a workflow with clearer ownership, better handoffs and a measurable path from request to outcome.
Work you can actually see
A clear record of what shipped, what was AI-drafted and what a person approved before it went out.
Measurement built in
Because we also build the measurement side, you get a clear record of what was done, what was automated and what a person checked — rather than a monthly summary written by the person being reviewed.
Execution stays consistent
Campaign tasks keep moving after the strategy meeting instead of competing with everything else on the team’s list.
Reporting becomes a habit
Regular summaries make it easier to spot what changed and decide where a specialist needs to look deeper.
Channels stay active
A dedicated owner keeps routine publishing, responses and maintenance from disappearing during busy weeks.
One workflow first. Prove the model, then expand.
We map the work, define what AI can execute safely, place the named human control points and launch with a contained scope before expanding.
Understand the workload and current handoffs.
Define AI execution, named human review and escalation.
Run the workflow inside your existing systems.
Use QA and performance signals to refine it.
Questions before you start
Clear answers before you decide whether the model fits.
Can AI not just write all of this?+
Could AI just do our marketing execution?+
Do they set the marketing strategy?+
Can they help draft content?+
How do you handle access to ad and marketing accounts?+
Ready to get marketing execution moving again?
Tell us what is sitting in the backlog. We will shape a role around it and be clear about which parts we would automate.
