๐ Project Plan – Wrike + AI Integration (Copilot / Gemini / ChatGPT)
In continuation of that journey, I am sharing here the project plan and technical SOP for a recent initiative — the Wrike AI Integration Project, where we combined Wrike with tools like Copilot, ChatGPT, and Gemini to accelerate collaboration and productivity.
1️⃣ Project Overview
|
Field |
Details |
|
Project Name |
Wrike + AI Integration for Digital Workflow Automation |
|
Objective |
To automate and enhance team collaboration using Wrike
integrated with AI tools (Copilot, Gemini, ChatGPT) |
|
Sponsor |
CIO / Head of IT |
|
Project Manager |
Raju Ambhore |
|
Duration |
8–12 Weeks |
|
Tools / Tech Stack |
Wrike API, Python, OpenAI API, Google Vertex AI, Microsoft
365 Copilot, Power BI |
2️⃣ Project Phases
|
Phase |
Description |
Duration |
Owner |
|
Phase 1 – Discovery & Planning |
Assess existing workflows, tools, user readiness |
Week 1–2 |
PM / Business Analyst |
|
Phase 2 – Environment Setup |
Setup Wrike Developer Account, API Access, AI platform |
Week 2 |
IT Infra |
|
Phase 3 – Integration Development |
Connect Wrike API to AI engines via Python / Power
Automate |
Week 3–5 |
Developer / AI Engineer |
|
Phase 4 – Testing & Validation |
Unit + Integration Testing of workflows |
Week 5–6 |
QA / PM |
|
Phase 5 – Training & Change Management |
User enablement, AI ethics, Wrike training |
Week 6–8 |
HR / PM |
|
Phase 6 – Rollout & Monitoring |
Pilot → Full launch; monitor KPIs |
Week 8–10 |
PM / Leadership |
|
Phase 7 – Continuous Improvement |
Add dashboards, AI suggestions, refinements |
Ongoing |
PM / Data Analyst |
3️⃣ Key Deliverables
|
Deliverable |
Description |
Format |
|
Wrike Workspace Setup |
Workflows, custom fields, dashboards |
Config file / Screenshot |
|
AI Integration Script |
API bridge between Wrike and AI tools |
Python Script / Flow file |
|
Automation Rules |
Task creation, auto-comments, daily summaries |
JSON / Script |
|
Power BI Dashboard |
Productivity metrics and adoption trends |
Power BI file |
|
Training Kit |
User guides, AI ethics guidelines |
PDF / PPT |
|
SOP Document |
Full technical and governance plan |
Word |
4️⃣ Milestone Timeline (Gantt Summary)
|
Milestone |
Date |
Status |
|
Project Kickoff |
Week 1 |
✅ |
|
Wrike API Access |
Week 2 |
⏳ |
|
AI Integration Prototype |
Week 4 |
⏳ |
|
User Training |
Week 6 |
⏳ |
|
Pilot Go-Live |
Week 8 |
⏳ |
|
Final Rollout |
Week 10 |
⏳ |
|
Post Implementation Review |
Week 12 |
⏳ |
5️⃣ Roles & Responsibilities
|
Role |
Responsibility |
|
Project Manager |
Planning, Execution, Reporting |
|
IT Admin |
Setup API Access, Wrike Config |
|
AI Developer |
Build AI Integration Scripts |
|
Data Analyst |
Build Power BI Dashboards |
|
Trainers / HR |
Conduct user training sessions |
|
Leadership / CIO |
Approve and track adoption metrics |
6️⃣ Risk Management Plan
|
Risk |
Impact |
Mitigation |
|
API Access Denied |
High |
Request enterprise-level Wrike Developer key |
|
Data Privacy Concerns |
Medium |
Apply token-based authentication, anonymize data |
|
AI Output Accuracy |
Medium |
Add human validation layer |
|
User Adoption Resistance |
High |
Conduct change management workshops |
|
Integration Errors |
High |
Unit test all scripts and logging enabled |
7️⃣ Communication Plan
|
Channel |
Frequency |
Purpose |
|
Wrike / Teams |
Daily |
Task tracking |
|
Email Summary |
Weekly |
Status updates |
|
Power BI Dashboard |
Bi-weekly |
KPI insights |
|
Review Meeting |
Monthly |
Governance & Next Steps |
8️⃣ Success Metrics (KPIs)
|
Metric |
Target |
Source |
|
Wrike Adoption Rate |
90% users active |
Wrike Analytics |
|
Manual Work Reduction |
40% |
AI Report |
|
Task SLA Adherence |
95% |
Power BI |
|
AI Insight Usage |
70% tasks automated |
Log File |
|
User Satisfaction |
4.5/5 |
Survey |
9️⃣ Continuous Improvement Loop
- Collect
Wrike analytics data
- Feed
into AI models for pattern analysis
- Generate
improvement insights
- Review
quarterly with leadership
- Update
workflows and dashboards
๐งญ Technical SOP for Wrike + AI (Copilot / ChatGPT / Gemini) Integration
1️⃣ Objective
To automate and enhance project collaboration in Viceroy Properties using Wrike as a project orchestration platform integrated with AI-based insights, automation, and reporting (Microsoft Copilot + Gemini + ChatGPT).
๐ง Phase 1 – Planning & Environment Setup
|
Step |
Activity |
Tools / Responsibility |
|
1 |
Assess current Wrike usage and workflows |
IT Manager / PM |
|
2 |
Identify core teams (Sales, Marketing, Projects, HR) using
Wrike |
PMO |
|
3 |
Define key automation goals (task assignment, approvals,
reporting) |
Stakeholders |
|
4 |
Setup Wrike Developer Access (API Key / OAuth 2.0) |
Admin |
|
5 |
Create AI Integration Environment |
Azure OpenAI / GCP Vertex AI / MS Copilot Studio |
|
6 |
Choose Integration Medium |
REST API / Python Script / Power Automate / MS Flow |
|
7 |
Sandbox / Dev Setup |
VS Code / Jupyter Notebook / Wrike Test Workspace |
๐งฉ Phase 2 – Wrike API Integration
API Access & Authentication
-
Use OAuth 2.0 to generate access token from Wrike developer portal.
-
Base Endpoint:
https://www.wrike.com/api/v4/ -
Test with basic API calls:
API Use Cases
|
Use Case |
API Endpoint |
Purpose |
|
Task Creation |
/tasks |
Create new tasks automatically |
|
Comment / Reply |
/comments |
Auto post AI-generated updates |
|
Custom Fields |
/customfields |
Store AI insights (priority, risk) |
|
Reports |
/reports |
Generate progress and efficiency reports |
๐ค Phase 3 – AI Engine Integration
A. Microsoft Copilot (M365)
-
Connect via Graph API or Power Automate
-
Use Wrike task data → Copilot prompt → generate summary / action list
-
Example: “Summarize today’s delayed tasks by department.”
B. ChatGPT (OpenAI API)
-
Use Python or Node.js to call GPT models
C. Gemini (Google Vertex AI)
-
Integrate using Vertex AI APIs for text + data summarization
-
Use for insight generation from Wrike report data or meeting notes
๐ Phase 4 – Automation & Insights Layer
|
Task |
Tool |
Description |
|
AI Auto Task Creation |
Python + Wrike API |
Create task based on project email or chat summary |
|
AI Recommendations |
GPT / Gemini |
Suggest next steps, risks, dependencies |
|
Auto Replies / Notifications |
Wrike + MS Teams API |
AI replies to task comments with suggestions |
|
Daily Summary |
Power BI + GPT |
AI-generated project summary in Teams / Email |
|
Approval Workflow |
Power Automate |
Multi-level approval integrated with Wrike |
๐ Phase 5 – Power BI / Reporting Layer
-
Connect Wrike API → Power BI via data connector
-
Create dashboards for:
-
Task completion rate
-
AI intervention frequency
-
Productivity improvement %
-
SLA adherence
-
-
Schedule automated Power BI refresh
-
Send reports via Teams / Email Notification daily or weekly
|
Area |
Control |
|
API Keys |
Secure in Azure Key Vault or Google Secret Manager |
|
Authentication |
OAuth 2.0 with limited scope |
|
Data Privacy |
Follow GDPR / ISO 27001 principles |
|
AI Ethics |
Ensure AI suggestions are reviewed before execution |
|
Logging |
Maintain API audit logs and error reports |
|
Stage |
Description |
|
Unit Testing |
Verify API & AI model responses |
|
Integration Testing |
Ensure Wrike + AI tools communicate smoothly |
|
UAT |
Conduct user acceptance test with pilot teams |
|
Go-Live |
Enable for all departments in phases |
|
Monitoring |
Use Wrike analytics and Power BI for adoption tracking |
๐ง Expected Outcomes
-
40% faster task turnaround
-
30% reduction in manual updates
-
Centralized digital work culture
-
Measurable AI productivity insights
|
Frequency |
Activity |
Owner |
|
Weekly |
Review AI insights, adoption metrics |
IT Manager |
|
Monthly |
Fine-tune prompts, automation flows |
AI/IT Team |
|
Quarterly |
Evaluate new tools (Copilot updates, Wrike APIs) |
CIO / PMO |
๐ Conclusion
This integrated Wrike + AI framework empowers digital teams to automate, analyze, and act faster — combining human intelligence with AI-powered efficiency.
#WrikeAIIntegration #WrikeAutomationWithCopilot #WrikeChatGPTIntegration
#ProjectManagementAITransformation #DigitalProductivityToolsIndia
✍️ Author:
Raju Ambhore, IT Project Manager & Blogger | Advocating Sustainable Technology & Ethical Digital Practice.
No comments:
Post a Comment