Project Scope — Scope of Work (SoW)
Agentic AI – Telemetry program scope (as provided).
🎯1. Project BackgroundOverview
The Agentic AI – Telemetry Program is an internal QBA strategic initiative designed to capture, contextualize, and analyse user activity data from key business functions (HR Admin, Finance, Operations, etc.) to uncover process knowledge, operational intent, automation opportunities, and efficiency improvements.
A lightweight telemetry script is deployed on selected user systems to capture detailed activity signals (keystrokes, application usage, window context, timestamps). These signals are transformed into meaningful sessions, intents, and business processes through advanced contextualization and rule-based intelligence.
The output will power decision-making for process optimization, automation roadmap creation, skill gap analysis, and productivity enhancement.
✅2. ObjectivesOutcomes
- Capture fine-grained user activity data across business functions.
- Convert raw telemetry data into structured sessions and business intents.
- Identify process patterns, inefficiencies, rework, context switching, and automation potential.
- Create a scalable process intelligence framework for continuous improvement.
- Enable leadership with actionable dashboards and KPIs for workforce and process optimization.
🧩3. Scope of WorkIn/Out
A. Telemetry Data Collection
In Scope
- Deployment of telemetry agent on approved user machines.
- Capture of keystrokes, active application, window titles/context, timestamps & idle duration, user & system identifiers.
- Secure storage and handling of telemetry data.
Out of Scope
- Screen recording
- Personal data capture beyond approved metadata
- Any content violating privacy policies
B. Sessionization & Contextualization Engine
- Session break logic: idle thresholds, app switching behavior, context switching signals, discontinuity ranking, relationship mapping between applications.
- Assignments: Session IDs, session types, business intent tags, process categories and subcategories.
C. Process & Intent Intelligence
- Map telemetry sessions to business processes, functional workflows, user intent and task purpose.
- Identify repetitive tasks, friction activities, rework indicators, training gaps, automation candidates.
D. KPI Framework & Analytics
User process throughput
Throughput per process & user segment.
Context switching index
Frequency + cost of app/context changes.
Top time-consuming screens
Time distribution by application/window.
Automation potential score
Opportunity scoring for candidate tasks.
Skill gap index
Signals suggesting training needs.
Process complexity index
Variability, branching, and rework.
Idle vs active work ratio
Engagement + interruption insights.
Session efficiency score
Cycle time + friction normalization.
E. Dashboard & Visualization
- Session & intent by user, date, function
- Process maps and heatmaps
- KPI trends & comparative analysis
- Automation opportunity rankings
F. Governance, Privacy & Compliance
- Data anonymization & role-based access
- Compliance with internal IT & data governance standards
- User consent and usage transparency
📦4. Key DeliverablesOutputs
| Deliverable | Description |
|---|---|
| Telemetry Agent | Deployed and stable data capture mechanism |
| Session & Intent Engine | Rule-based classification system |
| Process Taxonomy | Complete task & process classification model |
| KPI Framework | Defined metrics & formulas |
| Analytics Dashboard | Executive and operational views |
| Automation Opportunity Report | Ranked improvement opportunities |
| Final Project Report | Consolidated insights & roadmap |
🧷5–6. Assumptions, Dependencies & Success CriteriaDefinition of done
Assumptions & Dependencies
- Continued availability of telemetry data capture enhancements
- User participation and consent
- Timely engineering support for agent & data pipeline
- Secure infrastructure provisioning
Success Criteria
- ≥ 95% accuracy in session & intent classification
- Identification of minimum 20–30% automation potential across target functions
- Measurable reduction in context switching and process friction
- Adoption of dashboards by leadership for decision-making