An AI-driven system that automates project roadmap creation and identifies resources and compliance requirements could significantly reduce project delivery times.
I’m a recruiter (I know, 99% of you will hate me) and I interviewed a candidate working at a major bank today, that helped build an AI-driven agentic workflow system designed to automate and accelerate project delivery. The system was piloted for regulatory reporting and finance teams and uses AI agents trained on internal datasets, including: \- Regulatory requirements \- Team structures and responsibilities \- Data ownership \- Available resources and capacity When a manager or executive initiates a project, they complete a basic project form. The AI system then: \- Automatically maps the project roadmap \- Identifies data owners, team leads and stakeholders \- Determines resourcing needs and potential backfills \- Highlights regulatory/compliance requirements \- Prepares documentation and templates for approvals For technical projects, the system goes further: \- AI generates \~40% of the initial code \- The code is deployed into a test environment \- Human approval is required before production The workflow essentially automates what previously took teams months, reducing it to about a day, while still maintaining human oversight. Development timeline: \- A proof of concept (POC) was built last year. \- It took 4 months to obtain executive approval to test it in a sandbox environment. \- After success, it was rolled out to regulatory and finance teams. \- Plans exist to expand it further across the organisation. What impact do you see this having on the future of project delivery and the traditional make up of projects teams? Even the role of a PM?