AI Strategy Consulting
Leverage AI For Your Business
Our AI Offerings
Giving businesses the power of Generative AI solutions to drive transformational growth.
| AI Services | Description | POC ($25K) | Enterprise (Custom) |
|---|---|---|---|
| AI/ML Model Development | Build and deploy AI models using ChatGPT, Phi, Llama | 1 model: Development and deployment of a single AI model customized to a specific use case. | Multi-model design and/or custom model design: Development of multiple models or a fully customized model architecture to address complex business needs, including ensemble models and domain-specific solutions. |
| AI Governance and Data Integrity | Integrated best practice design for security and data governance | Basic: Implementation of foundational data governance and security measures for the POC. | Advanced data integrity, user audit, and compliance dashboard: Comprehensive governance framework with real-time monitoring, audit logs, and compliance dashboards to meet regulatory standards (e.g., GDPR, HIPAA). |
| Infrastructure | Scalable AI Deployment via containers, deploy anywhere | Small environment for POC: Basic containerized deployment for testing and validation. | Advanced deployment scenarios: Scalable, high-availability infrastructure with Kubernetes, multi-cloud support, and disaster recovery capabilities. |
| Exploratory Data Analysis (EDA) | Analyze data patterns, identify trends, and uncover insights to guide model development | Preliminary Data Readiness Assessment and Transformation: Initial data cleaning and analysis for a small dataset. | Advanced Data Readiness Assessment and Transformation: In-depth analysis of large, complex datasets with automated data pipelines, feature engineering, and anomaly detection. |
| Model Evaluation and Validation | AI Performance Assurance | Single GPU instance: Basic model evaluation and validation using a single GPU. | Scalable GPU cluster: Comprehensive model testing, validation, and hyperparameter tuning using distributed GPU clusters for optimal performance. |
| User Interface (UI) | AI-Powered Interfaces | Functional User Interface: UI to interact with the AI model for demonstration purposes. | Advanced, feature-rich User Interface: Customizable, enterprise-grade UI with role-based access, real-time analytics, and integration with existing enterprise systems. |
| Integration | API integration to user-supplied dashboard or our basic functional dashboard | 1 Dashboard integration: Integration with a single dashboard for visualization and monitoring. | Advanced Integrations: Integration with multiple dashboards, external services (e.g., CRM, ERP), and conditional logic for dynamic workflows. |
| Documentation and Training | AI Knowledge Transfer, extract a playbook for your COE | Single KPI process journey document; workflow document, business review (1 hour): Basic documentation and training for the POC. | Architecture design, process flow, training videos, and advanced process documentation: Comprehensive knowledge transfer, including detailed architecture diagrams, training programs, and playbooks for AI adoption. |
| Data Pipeline and Preprocessing | Data readiness for AI inferencing and model improvement by building scalable pipelines for cleaning, transforming, and structuring data. | Single pipeline established for RAG: Basic data pipeline setup for ingestion and preprocessing. | Multiple pipelines with MLOps real-time pipeline using Kafka, Pulsar, RabbitMQ, etc.: Enterprise-grade data pipelines for real-time data ingestion, processing, and model retraining. |
| OTHER SERVICES | |||
| Agentic AI | Develop agents | Not included in POC: This requires custom development and a higher budget. | Custom agent development: Autonomous agents for decision-making, process automation, and real-time problem-solving in complex environments. |
| Natural Language Processing (NLP) | Chatbots, sentiment analysis, or text summarization | Basic NLP functionality: Implementation of a simple chatbot or sentiment analysis tool. | Advanced NLP solutions: Multi-language support, context-aware chatbots, advanced sentiment analysis, and document summarization for enterprise-scale applications. |
| Retrieval-Augmented Generation | RAG pipeline using document retrieval and LLM generation with vector databases (e.g., FAISS, PGVector, Pinecone) | Basic RAG pipeline: Setup of a simple RAG pipeline for document retrieval and generation. | Advanced RAG pipeline: Optimized vector databases, real-time document updates, and integration with enterprise knowledge bases for enhanced accuracy and scalability. |
| Prompt Engineering / Template Building | Prompting techniques (CoT, Few-shot, etc.) with versioning and custom prompt templates | Prompt engineering: Creation of custom prompts and templates for the POC. | Advanced prompt engineering: Version-controlled prompt libraries, optimized templates for specific use cases, and integration into enterprise workflows. |
| Computer Vision | Image classification, object detection, or facial recognition | Not included in POC: Usually requires specialized hardware and a higher budget. | Custom computer vision solutions: Advanced image classification, object detection, and facial recognition systems for enterprise applications (e.g., surveillance, quality control). |
| Predictive Analytics | Forecasting, anomaly detection, or customer segmentation | Predictive model: Development of a simple forecasting or anomaly detection model. | Advanced predictive analytics: Real-time forecasting, anomaly detection, and customer segmentation with integration into enterprise tools. |
| Recommendation Systems | Personalized content or product recommendations | Recommendation system: Implementation of a simple recommendation engine for the POC. | Advanced recommendation systems: Personalized content and product recommendations with real-time updates, A/B testing, and integration with agreed upon platforms. |
*The POC is to demonstrate feasibility and value with the scope being limited to foundational or basic implementations.
*The POC focuses on delivering a functional prototype with minimal customizations or advanced features.
*The POC services are not designed for large-scale deployment but rather for testing and validation in a controlled environment.
*Advanced features are reserved for higher-budget projects.
Use Cases
A look at how our AI solutions apply to your business.
eCommerce
Personalized product recommendations, demand forecasting, or visual search.
Finance
Fraud detection, credit scoring, or algorithmic trading.
Talent Operations
AI-powered recruiting assistant- parse resumes, automate candidate assessment and scoring.
Customer Service
AI-powered chatbots/assistants, sentiment analysis, or call center automation.
Case Studies
Real-world examples showcasing our solutions and successful outcomes.
Problem: Card processor extended discounts to Retailers who provided specific retail data in exchange for a discounted Merchant Processing fee. Some Retailers provided bogus data that could not be sold but kept the discount. Could AI identify the bogus data without expensive manual intervention so that preventative measures could be taken?
Solution: Cocolevio created a rules-based data policy engine to audit Retailer compliance to their merchant agreement. Data-specific breaches were prescriptively appended to demand letters to enforce the agreements between our Merchant Services client and their Retail partners.
Problem: A major CPG brand surged in popularity but faced a matching surge in counterfeit products copying their image and style on duplicate products. The Brand could not hire quickly enough, nor could existing personnel quickly verify and escalate these copycats to Legal response teams. Could an AI solution help reduce the need for manual intervention and improve their responsiveness to this growing threat to their bottom line?
Solution: Cocolevio created a computer vision system that mapped and trained on brand visual data to identify copycat products, creating a multifaceted Similarity Index to match against duplicates. Non brand Outliers were automatically reported, escalated to intervention teams to defend risks to their brand and revenue. Response times increased and time to remediation (recouped revenue, fees, penalties) increased.
Problem: A Boutique Technical Recruiting and Software Engineering Firm quickly ramped up staffing efforts during the Pandemic. In pursuing technical (software engineering, full stack developers, domain specialists) candidates to fulfill clients' open roles, quality was uneven. The candidate assessment process also required alot of time from the Engineering teams to verify and rank technical abilities. Could AI reduce this burden and improve efficiency and quality?
Solution: Cocolevio created an AI tool that was trained on technical resumes and candidate responses to technical assessments and automated the resume evaluation, technical assessment and scoring/reviewing process. The custom model cut fill times by 73%, improved quality and retention by 41% and reduced costs to serve by 600%.
Problem: Cybersecurity threats have become an increasing concern for corporations. Unauthorized access, compromised credentials, and anomalous user behaviors pose significant risks to sensitive data and critical systems for our clients, and current security measures often fail or are not enough to detect subtle malicious activities that leave a company vulnerable to breaches.
Solution: Our AI-driven security tool Cocolevio Security Control Center (CSCC) enhances our cybersecurity footprint by deploying intelligent agents for real-time anomaly detection and access control. One agent monitors user activities across devices, browsers, and locations, by identifying and blocking suspicious behaviors while providing recommendations and an audit trail. Another agent ensures compliance with the Principle of Least Privilege (PoLP) by continuously evaluating user roles and permissions, flagging unauthorized changes, and offering recommendations for approval or rejection. Our AI tool proactively mitigates threats for companies that have a high demand for security.