Solutions
Apply AI where it changes a number
A specific operational problem where AI is a credible answer, and a need to prove it is.
Does this sound familiar?
The signs we usually hear first
A specific operational problem where AI is a credible answer, and a need to prove it is.
- 01
A pilot showed promise but never reached production
- 02
The data exists but is not in a usable state
- 03
Nobody has agreed what success would measure
How we would approach it
A defined route, in the order the work happens
Problem
Agree the metric
The number the solution has to move, before any model work
System
Data readiness
Assessed honestly, fixing what blocks the use case
Intelligence
Narrowest version
Built to prove value in production
Outcome
Oversight
Evaluation, monitoring and human oversight from day one
What Branta puts in place
AI applied where it changes a number
An agreed metric, data made ready, the narrowest version that proves value in production, and evaluation, monitoring and human oversight in place from the first day.
- Agreed metric
- Data readiness
- Production model
- Evaluation
Client results
Proof from the field
Beverage
Cutting cooler repair time by 70% with IoT and machine learning
Outcome
70% reduction in cooler repair turnaround
EdTech
Converting over 8,000 subscribers with AI-driven prospect modelling
Outcome
8,000+ unpaid subscribers converted to paying customers
Autonomous vehicles
99.9% accurate training data for safer autonomous driving
Outcome
99.9% delivery accuracy
From challenge to impact
A defined route from the first conversation to a system that keeps earning. You always know which stage you are in and what comes out of it.
Discover
- 01
Discover
Understand the business, the constraints and where the opportunity actually sits.
You get: Problem statement and opportunity assessment
- 02
Strategize
Define the solution, the technology and the roadmap to get there.
You get: Solution architecture and phased roadmap
- 03
Design
Create the experience, the workflow and the solution design before code is written.
You get: UX, workflow design and working prototype
- 04
Build
Engineer, integrate and test against the outcome agreed at the start.
You get: Tested, integrated, documented build
- 05
Launch
Deploy securely and enable the people who have to run it.
You get: Production deployment and team enablement
- 06
Optimize
Monitor, improve and scale as the business changes.
You get: Performance reporting and continuous improvement
Talk to us
Tell us what you are trying to achieve and we will help you identify the right technology path.