WorkFlow turns messy company processes into role-specific training, execution checklists, quizzes, QA feedback, and targeted micro-retraining when employees make mistakes.
Hackathon prototype. The OpenAI Ads training scenario is hypothetical and used only to demonstrate how WorkFlow can train offshore reps on a complex sales process.
We have built offshore teams for our own companies and for clients — including 100+ team members in the Philippines for our marketing agency, a 6-person AI team, and 800+ hires across 112 enterprise clients through our BPO.
The same problem kept showing up.
The issue is not a lack of documentation. The issue is that documentation does not automatically create execution.
Most training tools stop at content. WorkFlow runs the full loop — the same loop a manager runs manually every day. We wanted to see how much of it an agent could automate.
An offshore team needs to be trained to cold-call SMB advertisers for a hypothetical OpenAI advertising platform. The rep cannot just memorize a script — they need to understand positioning, qualification, compliance, and judgment.
A manager uploads or pastes a process document, Loom transcript, checklist, or training guide.
WorkFlow turns the process into role-specific instructions, a quiz, an execution checklist, a QA rubric, and training video scenes.
The trainee completes a quiz or submits a sample work output. In our demo, the trainee submits a cold-call pitch.
WorkFlow checks the response against the SOP and flags issues — overpromising, weak positioning, skipped qualification, compliance risk.
Instead of repeating the full course, WorkFlow generates a short retraining module targeting the exact gap.
Target outcomes the prototype is designed to demonstrate.
Most training tools stop at content. WorkFlow is built around the loop that managers run manually every day — and tries to automate it.
When work is remote, repeatable, and process-heavy, unclear training creates expensive mistakes.
WorkFlow was built during a hackathon as a working prototype. The OpenAI Ads use case is hypothetical and used only as a realistic training scenario. Any real deployment would require official company materials, approved sales language, policy review, security review, and human oversight before employees use it in production.
WorkFlow AI explores how AI agents can turn company knowledge into trained execution.