How BI Solusi Runs AI Projects in 8 Steps

Working with an AI consulting firm in Indonesia means trusting a team with your data, your processes, and your business outcomes. At BI Solusi, every AI project follows eight steps that take you from the first conversation to a fully deployed, supported solution, with three formal sign-off checkpoints and a proof of concept before you sign a contract.

BI Solusi AI Implementation Project Workflow

Here is how the process works from start to finish:

1. Project Exploration

2. Proof of Concept

3. Detailed Requirement Gathering

4. Solution Design

5. Implementation

6. User Acceptance Testing

7. Warranty Period

8. Managed Service

Before You Sign a Contract (Steps 1–2)

The first two steps are about understanding your problem and validating that an AI solution will actually work for your data before you make any financial commitment.

Step 1: Project Exploration

Project Exploration is about understanding what you are trying to solve and whether AI is the right tool to solve it.

We sit down with your team to map out what you are trying to achieve, what data you have available, and what a successful outcome looks like for your business. During this process, we also identify who will use the system, how they will use it, and what your constraints are in terms of timeline, budget, and existing systems. When a simpler solution would serve you better than AI, we will tell you directly. By the end of this step, you have a clear picture of what an AI solution would look like for your situation and whether it makes sense to move forward.

Step 2: Proof of Concept

The proof of concept is a small-scale working model built from your actual data, giving you real outputs to evaluate before committing to the full project.

This is where BI Solusi differs from many AI consulting firms in Indonesia. Rather than asking you to commit based on a presentation, we build a prototype first so you can see how the solution performs against your actual data before any contract is signed. Once you are satisfied with the results and both sides are aligned on the approach, the contract is signed and the project moves into full scoping.

Scoping and Designing Your AI Solution (Steps 3–4)

These two steps translate the approved proof of concept into a documented project scope and a complete technical blueprint.

Step 3: Detailed Requirement Gathering

Detailed requirement gathering produces the governing document that defines everything that will be built in the development phase.

We work through every functional and technical requirement with your team, covering data inputs and outputs, integration points with your existing systems, performance targets, user roles, and edge cases the system needs to handle. Your team reviews the completed document and signs off before any design or development begins. This sign-off protects both sides: you know exactly what you are getting, and we know exactly what we are building.

Step 4: Solution Design

Solution design translates the approved requirements into a technical blueprint for every component of the system.

We define the AI model architecture, the data pipeline, the infrastructure, and how the solution will connect to your existing tools and workflows. For projects involving computer vision or natural language processing, we also design the model training approach and the evaluation framework at this stage. You receive a complete design document covering how every part of the system works together before any production code is written.

Building, Testing, and Going Live (Steps 5–6)

Steps 5 and 6 take the approved design from blueprint to a tested, validated solution running in your production environment.

Step 5: Implementation

Implementation is where the approved design becomes a working system, built in structured development cycles with regular progress updates throughout.

Our team handles all the technical work, including model development, data pipeline engineering, and system integration. Development runs in structured cycles so you can track progress at each milestone rather than waiting until the end of the build. When issues arise during development, we raise them with your team immediately and resolve them with your input rather than working around them silently.

Step 6: User Acceptance Testing (UAT)

User acceptance testing is where your team verifies that the solution works as specified before it goes live.

We run the system through the scenarios defined in Step 3, including edge cases and high-volume conditions, and measure the results against the agreed performance targets. Your team then tests the solution directly using your own workflows and real business data. When your team signs off, we proceed to the go-live, and nothing is deployed to your production environment without your explicit approval.

After Go-Live (Steps 7–8)

The final two steps ensure the solution remains stable and continues to improve after deployment.

Step 7: Warranty Period

The warranty period begins immediately after go-live and covers any issues that emerge as the solution runs in your live environment.

Real-world conditions often surface problems that did not appear during testing. The warranty period exists to catch and resolve these quickly, at no additional cost to you. We monitor the system, respond to issues your team reports, and make the necessary adjustments to keep the solution performing reliably in production. You go live knowing that post-deployment issues will be handled without a separate service agreement.

Step 8: Managed Service

Managed service is the ongoing support arrangement that keeps your AI solution accurate, stable, and aligned with your business as it evolves.

AI models require ongoing maintenance as the data they depend on shifts and your business processes change over time. Under our managed service arrangement, BI Solusi handles model retraining, performance monitoring, system updates, and enhancements on a continuous basis. Your team has a dedicated point of contact, and your solution improves over time rather than stagnating after the initial go-live.

Start Your AI Project with BI Solusi

If you want to see what an AI solution can do for your business before committing to a full project, the proof of concept is where we start. Reach out to discuss your use case and we will walk you through what the exploration phase looks like for your situation.

Get in Touch

To learn more about the AI solutions BI Solusi builds for businesses in Indonesia, explore our AI consulting and implementation services.

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BI Solusi is your trusted partner for data-driven success in Indonesia, serving companies in the Southeast Asia region and beyond. We specialize in implementing cutting-edge Data Analytics, Business Intelligence platform, and Big Data solution, complemented by expert Data Science services. 

We offer flexible nearshore and offshore BI implementation models to meet your specific needs and deliver the highest-quality results. 

Our BI Consulting expertise encompasses Data Integration services (ETL), Data Warehousing, and the utilization of Data Visualization tools such as Microsoft Power BI, Qlik Sense, and Tableau for Reports and Dashboards implementation.

Let us help you unlock the full potential of your data and achieve your business goals.