The results you’ll see
Level up
Delivery speed
Product value
Automation
The final answer on what value AI can bring
We designed this Sprint for
→ IT teams that are too busy with priorities to explore AI use
→ Companies that need a step-by-step AI roadmap instead of promises
You might have heard stories of how AI improved support or registration metrics. And some of your colleagues might be curious, but the company doesn’t know where to start.
A 2-day, guided Sprint™ with our team can clarify the future. The workshop teaches what’s the smartest option to use AI for product idea validation or as a data analysis solution.
Sprint™ details
Timeframe
2 days
Deliverables
Generative AI report that enables a go or no-go decision with an opinion on the process flow, use cases, tech analysis, team requirements, time and cost estimates, and risks.
A small PoC of a GenAI application to present the stakeholders with an idea of its value.
Improve these metrics
Development costs, time-to-market, release frequency, team performance, cycle time.
Gen AI Rapid Prototyping Sprint’s outcomes
Business case
Identified GenAI use cases with recommendations and team requirements.
A demo AI solution
Identified GenAI use cases with recommendations and team requirements.
Findings report
Identified GenAI use cases with recommendations and team requirements.
AI model choice
Identified GenAI use cases with recommendations and team requirements.
How does this Sprint™ work?
An
example
Generative
AI report
See what the final report includes. The sample presents relevant business cases for AI use and the solution’s architecture.
Sprint's creator
With his guidance and friendly demeanor, you'll address every AI-related problem with clear, actionable answers, making every sprint effortless and future plans exciting.
Darek Kocięcki
Generative AI Consultant
2 days can have a big impact
A media publisher cut translation costs by
99% with a Lambda-powered AI solution
After reviewing language models, we built a process using AWS and OpusMT, reducing translation costs from $200 to $1.95 per article.
Automated AI translation helped the company improve translation accuracy and cut infrastructure costs.
Tech Stack We Leverage to Develop Top-notch AI Product
Models
-
GPT-4 - GPT-3,5
- GPT-3
-
DALL.E
Data Processing and Analysis
-
Pandas -
NumPy -
Apache Spark
Database Management
-
PostgreSQL -
MySQL -
MongoDB - Cassandra
Machine Learning Tools
-
Weka -
Orange -
RapidMiner
Frameworks and Libraries
-
TensorFlow
-
PyTorch 2.0
-
Keras -
SciKit-Learn
Development Environments
-
Visual Studio Code -
PyCharm -
Jupyter Notebook
Consider other Sprints™
AWS Cost Cut
React Performance
Observability Strategy Sprint
App Modernization Roadmap
Accessibility Review
Design System Development
“They consistently achieved the outcomes”
As said in a ★ 5 review Mr & Mrs Smith’s CTO. Plan out AI adoption in 2 days.
Recommended by 98% of SMBs, startups, and scale-ups
They asked The Software House to upgrade their digital product and set a direction for resilient software development.
Good to know
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