Case Study | Abacus AI

Case study

Large Clean Tech Company Establishes Product Management Function and Ships High-Impact Software

Background:

The company had software that was custom-built for each client. With more clients lining up at the door for the product, a large opportunity was identified to make the company’s custom built software into a SaaS product.

Challenge

Absence of a product management function

No clear roadmap for product development

Inconsistent communication between teams

Difficulty in delivering working software on time

What we did

Our Approach

Team Kick-offs and Foundations:

Swiftly integrate new team members and maintain momentum by optimizing team dynamics as you scale.

Customized Solutions Aligned with Our Offerings:

A) Product Management

Defined product problems and brainstormed solutions.
Set objectives and key results, mapped out customer journeys, and created story maps.
Assisted with backlog creation, ticket assignments, and sprint planning.
Created Job Descriptions, conducted interviews and staffed the product management organization
Created a Product Vision Narrative and User Persona’s to communicate with stakeholders

B) AI/Data Services:

Worked with Chief Innovation Officer to evaluate and prioritize hypothesis and develop an AI Roadmap
Conducted skill assessments and created hiring plans for the AI/ML team.
Documented customer data needs and designed a new data architecture.
Established processes for SDLC and MLOps.

C) Corporate Governance:

Established governance for visibility into product and client delivery
Established Rhythm of the Business
Established and implemented a standard set of document artifacts
Implemented controls processes for delivery improvements

The outcome

Results Delivered

Product & Governance:

Delivered 2 large software updates on time, meeting customer requirements.
Created a comprehensive solution that reduced project delivery time by 75%.
Removed delivery bottlenecks and was able to double velocity of client delivery successfully in 1 quarter
Deployed 1 major software release
Implemented Product Oriented Development (POD) organizational model
> 95% of team members understood the roadmap, their team’s goals, felt they were set up for success and were excited for the future

AI/Data Services

Implemented new data architecture, anomaly detection models, and predictive ML models while enhancing data analysis and visualization to meet contracted client requirements.

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