Objective
Deliver a functioning AI MVP (minimum viable product) within four weeks, targeting a pre-identified business use case. The MVP will integrate into your workflows, generate real insights or automation, and provide measurable value by the end of the engagement.
What We Need From You
An Internal AI Champion
Someone who can coordinate across teams, keep the project visible, and help make quick decisions.
Business Insights
A few dedicated people from the relevant business areas to share real-world processes and pain points.
Data & Access
We'll need the right data sets and basic system access so we can build and test a working AI MVP.
With these ingredients in place, we can move fast—delivering a targeted AI solution that quickly shows real value.
Engagement Scope
- Rapid Execution: Shorten time-to-value by leveraging existing data and focusing on the highest-impact features.
- End-to-End Delivery: From initial scoping and data prep to MVP rollout and user enablement.
- Measurable Results: Demonstrate ROI through key performance indicators (KPIs) that align with your strategic goals.
Timeline & Deliverables
Week 1: Rapid Alignment & Setup
Activities
- Kickoff & Success Metrics: Align with key business stakeholders on the targeted use case. Define success criteria.
- Data & Tech Environment Assessment: Confirm data readiness, APIs, or system access.
- MVP Blueprint: Finalize the specific features or automation steps.
Deliverables
- Implementation Charter: Documents goals, scope, roles, and success metrics.
- Detailed Project Plan: A short timeline mapping out daily/weekly milestones.
Why It's Valuable
Ensures everyone is on the same page from day one, minimizing scope creep and focusing on clear ROI.
Week 2: MVP Core Build
Activities
- Data Preparation & Integration: Ingest relevant datasets; configure necessary connections.
- Model/Process Development: Begin coding or configuring the AI component.
- Rapid Feedback Cycles: Quick iteration with your business champion.
Deliverables
- Alpha MVP: A bare-bones but functional version demonstrating core AI logic.
- Technical Documentation (Draft): Basic architecture and data-flow diagrams.
Why It's Valuable
You move from theoretical talk to actual functionality in just two weeks.
Week 3: Integration & Pilot Testing
Activities
- System Integration: Connect the AI MVP to live or test environments.
- User Testing & Feedback: Have select users interact with the MVP.
- Enhancement & Tuning: Address bugs, refine model parameters.
Deliverables
- Refined MVP: An updated version incorporating user input.
- Preliminary Success Metrics: Early, quantifiable data.
Why It's Valuable
Validates that the MVP works in a real context, building stakeholder buy-in.
Week 4: Finalization & ROI Demonstration
Activities
- Performance Optimization: Tweak for speed, accuracy, and user experience.
- Security & Compliance Check: Confirm MVP meets relevant standards.
- Pilot Launch & Training: Roll out to broader pilot group, conduct training.
Deliverables
- Production-Ready MVP: A stable, well-documented solution.
- ROI & Scale-Up Report: Performance metrics and future roadmap.
Why It's Valuable
You get a working AI pilot and clear next steps for full-scale deployment.
What You Get
Expert Guidance
A proven AI consultant with 25+ years in enterprise tech leads the entire process—ensuring best practices and strategic alignment.
Functional AI MVP
By Day 30, you have tangible AI output that addresses a specific business problem, generating immediate and measurable value.
Knowledge Transfer
Your team learns how to operate, maintain, and iterate on the MVP, reducing dependence on external consulting.
Clear ROI Proof
Quantifiable data (time saved, costs reduced, revenue increased, etc.) to justify further AI investments.
Scalability Blueprint
A recommended path for rolling out AI capabilities across other departments or use cases—extending the MVP's success.
