Project Plan – Wrike + AI Integration (Copilot / Gemini / ChatGPT)

๐Ÿ“˜ Project Plan – Wrike + AI Integration (Copilot / Gemini / ChatGPT)



As part of my ongoing work with IT teams and organizations embracing AI and digital transformation, I often provide hands-on support in implementing automation and intelligent project management solutions.
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

  1. Collect Wrike analytics data
  2. Feed into AI models for pattern analysis
  3. Generate improvement insights
  4. Review quarterly with leadership
  5. Update workflows and dashboards

 

๐Ÿงญ 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).

๐Ÿ”ง 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


๐Ÿงฉ 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:

import requests

token = "your_access_token"
headers = {"Authorization": f"bearer {token}"}

# Fetch folders
response = requests.get("https://www.wrike.com/api/v4/folders", headers=headers)
print(response.json())

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


๐Ÿค– 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

    import openai prompt = "Summarize Wrike project X updates in 5 bullet points" response = openai.ChatCompletion.create( model="gpt-4-turbo", messages=[{"role": "user", "content": prompt}] ) print(response.choices[0].message.content)

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


๐Ÿ” 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


๐Ÿ“Š 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

๐Ÿ”’ Phase 6 – Security & Compliance

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


๐Ÿ”„ Phase 7 – Testing & Deployment

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


๐Ÿง  Expected Outcomes

  • 40% faster task turnaround

  • 30% reduction in manual updates

  • Centralized digital work culture

  • Measurable AI productivity insights

๐Ÿ“… Governance & Continuous Improvement

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


๐ŸŒŸ 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.

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