campaign.os by Vortek.Tech AI Employees for PR teams and creator campaigns

AI Employees for PR teams and creator campaigns

Vortek maps one real campaign workflow, finds where evidence / follow-ups / reporting break, then builds the first AI Employee around it

Brief Deliverables Evidence Status Client update

CampaignOS is the first wedge: it turns links / screenshots / posts / files / confirmations / notes into a live reporting layer your team can use while the campaign is moving

Brief Deliverables Evidence Follow-ups Reports

CampaignOS is the first AI Employee wedge

Vortek starts with one real client workflow, then maps deliverables, evidence, follow-ups, reporting, and the first AI agent layer around it

01

Promised deliverables

Stories / posts / videos / event attendance / gift delivery / media coverage / partner outputs are mapped from the campaign brief

02

Evidence collection

Links / screenshots / photos / files / confirmations / metrics stay attached to the right campaign item

03

Evidence status view

Your team sees what is collected / waiting / ready for review / ready for the client update

04

Client updates

Weekly updates and final reports are built from live campaign evidence and structured notes

05

AI agents

Agents read the brief / sort evidence / flag open items / draft the report base for the team

06

Team handoff

Owners / statuses / dates / notes / next actions stay visible across the people running the campaign

Boutique PR agencies Creator campaigns Influencer activations Brand events Fashion events Beauty activations Hospitality activations Media relations

Not sure if reporting is the problem?

We can audit one client-facing workflow and find where the next AI Employee should start

Campaign evidence Client updates Outreach / follow-ups Opportunity tracking Weekly reporting

Every deliverable gets an evidence path Every evidence item can become a client update

Watch campaign evidence become a client update

A short walkthrough of the reporting layer: evidence intake / missing items / AI follow-up / report readiness

First focus: Campaign Reporting & Evidence

A paid audit of one real client-facing workflow. First focus: campaign deliverables, evidence, client updates, follow-ups, and reporting

01

Evidence map

Campaign promises become evidence requirements: links / screenshots / photos / confirmations / metrics / files

02

Reporting and follow-up map

The audit shows which items are ready / in review / waiting / sourced / ready for client / waiting on follow-up

03

First AI Employee plan

You get the first system blueprint: data model / tracker / views / AI Employee actions / client update flow

Each AI Employee gets one job inside the client-facing workflow

Brief reader

Reads the campaign brief and extracts promised outputs, evidence rules, dates, people, and report requirements

Evidence sorter

Sorts uploaded links, screenshots, posts, photos, files, and confirmations into the right campaign item

Status checker

Shows what is complete, what is waiting, what needs follow-up, and what should be reviewed before the next client update

Report drafter

Turns organized evidence into a first draft of the weekly update or final report structure

Map

We map the campaign or workflow: brief / promised outputs / team roles / evidence rules / follow-ups / report format

Model

We define the entities: campaign / deliverable / person / evidence / follow-up / status / client update

Build

We build the tracker, views, AI prompts, AI Employee actions, and reporting structure around one workflow

Use

Your team runs evidence collection, follow-ups, and client updates from the same live system

Send one workflow We will map evidence, reporting, follow-ups, and the first AI Employee to build