Bi-Weekly Manager Check-In

Major Outcomes

• 2 Weekly report completed on Jen PTO No issues and Monthly Report done.
• OneView Project — working on validation phase is done
• AI Subcommittee — reading the understanding level.
• Documentation gaps identified (Chat Data WIP, RA Data captured)
• PA Jobs work and monitoring still WIP
• UAT — ServiceNow Zurich upgrade - done

Impact

• Business: None this cycle
• Team: Chat Data BI work working in progress
• Process Improvement: 4x4 need to review

Completed

• Weekly Reports Automation - WIP

• DB tables setup and loaded successfully

• Logical workflow implementation - WIP

• Agentic AI for ServiceNow tried excellent result

• Power BI Email Subscription - OneView

  • OneView Based on the Filters you can Generate different way of getting

In Progress

• Chat Data BI Report - ETA: 17 Apr 2026

• Integration and reporting - RA - done

• IMR BI Dashboard

  • YoY, QoQ, MoM analysis, new dashboard development - ETA: 20 Apr 2026

• Blue Chip Automation

  • Automation pipeline build-out - WIP

Sessions

• DB import learnt from Scott.

Notes

• Documentation will be created in parallel (Plan B will be locked)
• Conducting walkthrough sessions with the team on automation workflows

Current Focus

• Agentic AI — 95% complete
• Git & GitHub - New skill
• Ubuntu - New skill
• Deep Learning — Started
• Machine Learning / Neural Networks — Planned

Next Focus

• Weekly Reports automation (work in progress)

Event 1 — Threat Modeling AI Agents

Outcome

• Identified AI risks as workflow-level vulnerabilities rather than model-level issues
• Understood failure points in Prompt → Tool → Action chains

Application

• Apply strict tool access controls
• Validate prompt-to-action execution paths
• Introduce logging across agent workflows

Impact

• Reduces risk of data leakage, privilege abuse, and unintended actions

Event 2 — AI Deep Dive

Outcome

• Gained understanding of AI-ready data architecture
• Learned frameworks for evaluating AI agent reliability

Application

• Design scalable AI-integrated data pipelines
• Improve validation of LLM/agent outputs
• Align AI systems with enterprise data strategy

Impact

• Enables reliable and scalable AI-driven reporting and automation

Event 3 — Agentic AI with Real-Time Data

Outcome

• Understood importance of real-time data in agent decision-making
• Learned role of streaming and event-driven architectures

Application

• Integrate real-time data pipelines
• Use memory layers and retrieval systems effectively
• Build event-driven automation workflows

Impact

• Improves responsiveness and intelligence of AI systems
• Supports development of adaptive, real-time automation

High Priority

• OneView — Validation phase in progress
• Agentic AI — internal teamwork

Medium Priority

• Automation — Initiated and progressing
• IMR Analysis — YoY / QoQ / MoM breakdown

Feedback

Direction

Follow-ups

• Key Highlights — On track (major progress this week)
• Achievements & Work in Progress — On track (tasks progressing as planned)
• Shadow Sessions & Knowledge Sharing — Attention needed (ongoing sessions)
• Upskilling — On track (continuous progress)
• Agentic AI Events — On track (strong applied learning)
• Next Week Priorities — On track (clearly defined)