AI Transformation
Transform the way you do business by unlocking the power of AI.
Let's talkAI transformation is the process of driving digital transformation through Artificial Intelligence, to integrate AI into all areas of a business and to change the way value is delivered to customers.
Companies leveraging AI benefit from data-driven decision-making and predictive analytics — the dual engine behind every modern competitive advantage.
By 2030, 70% of companies will adopt AI in one form or another. It will contribute up to $15.7 trillion to the global economy.
AI Helps Companies
Provectus helps companies
Adopt AI faster and more efficiently. By enabling use case-focused AI solutions, we augment and reinforce your business to deliver measurable value and drive improvements at scale organization-wide.
Check out the AI/ML Transformation Canvas
Build the architecture for AI at scale
We engage with technology executives to design the AI adoption roadmap for your organization, including major business KPIs and success metrics essential to getting management buy-in on a business level.
- Gain visibility into ML processes to achieve transparency through monitoring and measurement
- Cooperate with builders responsible for the architecture and a solution's every component from bottom-up
- Start AI transformation with a robust infrastructure, data pipelines, and a data lake for scalable AI
- Use industry blueprints with sample datasets and use case-specific AI components for anomaly detection, computer vision, and NLP
- Drive AI transformation through cloud-native, vendor-agnostic solutions with expert-verified architecture and fully available source code
Develop a roadmap for AI transformation
We work with business leaders to develop a strategy and a roadmap for AI transformation encompassing their business vision, investments, KPIs, technology capabilities, and the timeline for AI adoption.
- Gain a competitive advantage in the niche
- Jumpstart digital transformation through AI
- Discover specific AI use cases for your business
- Assess your company's AI readiness (both culturally and tech-wise)
- Skip transformation of your legacy to deliver immediate business value
AI Adoption Journey
Organizations come across a few critical challenges pertaining to culture, organization, and skills throughout the AI adoption journey. They find it hard to broadcast the potential value of AI across their organizations, to select specific AI use cases to implement, and to hire AI/ML pros with the right skillset.
Discovery Workshop
Assess your organization's AI potential.
- Implementation of the 80/20 solution approach to accelerate the Proof of Concept
- Testing, finetuning, and solution validation based on business goals and predefined KPIs
- Define business objectives and solution KPIs
- Evaluate cost vs. impact for each 1% of a solution's improvement
- Estimate a solution's ROI
PoC & Delivery
Begin deploying AI at scale organization-wide.
- Operationalization
- Solution integration with the existing apps
- Deployment in the cloud
- Integration with the client's processes
Managed Services
Enhance your AI solution to drive more improvements.
- Supporting your users and customers
- Augmenting your IT team
- Upgrading the solution (if needed)
- Implementing ongoing fixes of P1/P0 issues
- ML models maintenance and retraining hours
Kick off your AI transformation journey
Your organization's journey to AI adoption begins with a Discovery Workshop — a customer engagement that helps accelerate Proof-of-Concept delivery and measure business impact.
- Reinforce your business through AI for a competitive edge
- Drive innovation through AI without an in-house data science team
- Assessment of accessible data
- ML problem discovery
- Solution architecture
- Adoption roadmap
- AI solution's adoption roadmap
- Implementation plan and hourly assessment for PoC