Keeping in mind the requirements, i2e implemented an Agentic AI project manager. By giving AI a seat at the table, inside MS Teams, we turned a repetitive ritual into a strategic advantage.
We created a context-aware digital scrum master/project manager, capable of remembering yesterday’s blockers, asking the right follow-up today, and creating tomorrow’s Jira tickets automatically. Acting as a digital facilitator for daily standups, the bot prompted each team member for three simple but essential updates:
- Yesterday’s accomplishments
- Today’s focus
- Current blockers
The agent was rolled out in 2 phases:
Phase 1: Automating daily standups
Along with prompts for daily updates, the bot sent daily reminders via Teams, capturing free-text responses, and parsing them into structured data like user, date, tasks, blockers, and status. It then logged updates automatically into the task tracking system and the reporting dashboard, enabling streamlined visibility and progress tracking. The agent also classified activities by type such as client calls, internal meetings, or research, this gave better visibility into team effort.
Phase 2: Contextual awareness and follow-ups
The assistant evolved into a more context-aware and intelligent agent collecting data and understanding it.
- Identifying task dependencies from past responses.
- Tagging relevant responsible personnel via the user's prompt for mentioned activities, ensuring no loss of accountability.
- Triggering follow-ups on latest deadline first basis to track progress, avoiding overwhelming users and decluttering the chat environment.
This contextual intelligence helped the PMO, and management maintain continuity across standups and address issues proactively.
Other features
- Generate weekly summary reports with categorized activities.
- Accurate assigning of blockers, with weekly activity summary reports
- Email reports to stakeholders for performance insights.
