AlphaBOLD Generative AI Consulting Services That Seamlessly Ship to Production

AlphaBOLD builds generative AI solutions that work with your existing systems and grow with your business. From custom LLM development to agentic AI workflows, we help organizations automate operations, improve decision making, and deliver measurable ROI from day one. No science projects. No shelfware. Just AI that works.

A Generative AI Consulting Company That Gets Things Done

New AI models and frameworks launch every week. You need a partner who understands both the technology and the realities of running a business. AlphaBOLD bridges this gap with battle tested generative AI implementation across Microsoft, Salesforce, and custom environments. We have been helping organizations adopt new technology for 15 years, and generative AI is no different. Our generative AI consulting approach focuses on practical deployment, not theoretical possibilities.

  • Production deployments using GPT-4o, Claude 3.5, Gemini 1.5, and leading open source models like Llama 3.1
  • Deep integration expertise with Microsoft Dynamics 365, Power Platform, Azure, Salesforce, and NetSuite
  • Security architecture including private model hosting, data encryption, and compliance frameworks for regulated industries
  • Proven track record with 85% of projects delivering measurable value within 90 days of going live

150+

AI Projects Delivered

85+

AI & ML Engineers

98%

Client Satisfaction Rate

15%

15+ Years in Business
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Our Generative AI Expertise

Large Language Model Engineering

Our engineers build and deploy production systems using GPT-4o, Claude 3.5, Gemini 1.5 Pro, and open source models like Llama 3.1 and Mistral. We optimize token usage, implement advanced prompting strategies, and create custom fine-tuned models that understand your specific business context.

Retrieval Augmented Generation (RAG)

We connect LLMs to your company knowledge bases using vector databases like Pinecone, Weaviate, and Azure AI Search. Our RAG implementations deliver accurate, contextual responses grounded in your proprietary data, reducing hallucinations and improving answer quality.

We develop autonomous AI agents using LangChain, AutoGen, and CrewAI. These agents handle multi-step reasoning, tool calling, and complex workflow orchestration with minimal human oversight. From automated research to code generation, our agentic solutions get work done.

Multi-Modal AI Development

We build systems that process text, images, audio, and video using GPT-4V, Gemini Pro Vision, and Claude 3.5 Sonnet. Our multi-modal solutions power intelligent document processing, visual inspection systems, and conversational interfaces with image understanding.

Custom Model Fine-Tuning

We fine-tune foundation models on your proprietary datasets using LoRA, QLoRA, and full parameter training. Our custom LLM development delivers models that understand your industry terminology, follow your brand guidelines, and outperform off-the-shelf solutions.

AI Infrastructure & MLOps

We design scalable AI infrastructure on Azure, AWS, and GCP with robust MLOps pipelines. Our implementations include model versioning, A/B testing frameworks, automated retraining triggers, and monitoring for latency, accuracy, and cost optimization.

Generative AI Development Services

Our generative AI development services cover the complete lifecycle from strategy through production support. Whether you need a focused proof of concept or organization-wide AI adoption, we deliver solutions that plug into your technology ecosystem and drive real business outcomes.

01 — Strategy

Generative AI Strategy & Consulting

We assess where you stand today, identify high impact use cases, and build a practical roadmap to get you there. Our generative AI consulting services include technology selection, ROI modeling, risk assessment, and change management planning tailored to your organization.

Key Deliverables

AI Maturity Assessment, Use Case Prioritization, Technology Stack Selection, Implementation Roadmap, ROI & Business Case Development

02 — Development

Custom LLM Development

We build language models that actually understand your domain, your terminology, and your business context. From fine-tuning existing models to training custom architectures, our custom llm development delivers AI that speaks your language and solves your problems.

Key Deliverables

Domain-Specific Fine-Tuning, Custom Training Pipelines, Model Optimization & Quantization, Evaluation & Benchmarking, Continuous Learning Systems

03 — Integration

Generative AI Integration Services

We connect generative AI capabilities with your existing systems including Microsoft Dynamics 365, Salesforce, SAP, and custom applications. Our generative AI integration services ensure seamless data flow and unified user experiences without disrupting what already works.

Key Deliverables

Dynamics 365 & Power Platform Integration, API Development & Management, Data Pipeline Engineering, Legacy System Modernization, Real-Time Integration

04 — Conversational AI

Conversational AI & Chatbots

We deploy intelligent virtual assistants powered by the latest LLMs. Our solutions handle complex conversations, maintain context across sessions, integrate with backend systems, and escalate to human agents when needed. No more frustrating chatbot experiences for your customers.

Key Deliverables

Multi-Turn Dialogue Systems, Intent Recognition & Entity Extraction, Knowledge Base Integration, Omnichannel Deployment, Analytics & Optimization

05 — Document

Intelligent Document Processing

We automate document workflows using AI powered extraction, classification, and summarization. Our solutions process contracts, invoices, medical records, and technical documents with high accuracy and full compliance. Your team stops doing data entry and starts doing real work.

Key Deliverables

Document Classification, Data Extraction & Validation, Summarization & Insights, Workflow Automation, Compliance & Audit Trails

06 — AI Agents

AI Agent Development

We build autonomous agents that execute complex tasks independently. Our agentic AI solutions use tool calling, multi-step reasoning, and self-correction to automate research, analysis, code generation, and business processes. These agents work while you sleep.

Key Deliverables

Autonomous Task Execution, Tool & API Integration, Multi-Agent Orchestration, Human-in-the-Loop Workflows, Performance Monitoring

AI Models We Work With

We are model-agnostic and pick the right tool for your specific requirements

OpenAI

Available Models
GPT-4o
GPT-4 Turbo
DALL-E 3

Anthropic

Available Models
Claude 3.5 Sonnet
Claude 3 Opus

Google

Available Models
Gemini 1.5 Pro
Gemini 1.5 Flash

Meta

Available Models
Llama 3.1 405B
Llama 3.1 70B

Mistral AI

Available Models
Mistral Large
Mixtral 8x22B

Microsoft

Available Models
Microsoft Copilot
Azure OpenAI

Our Approach to Generative AI Implementation

We follow a structured methodology that minimizes risk while accelerating time to value. Each phase includes clear deliverables, success criteria, and stakeholder checkpoints. No surprises. No scope creep.
01
Pilot Project
02
Data & Model
03
Development
04
Optimization
Phase 01

Test Development & Pilot Project

We start with a focused proof of concept that validates technical feasibility and demonstrates real business value. Our pilot projects target specific use cases with measurable outcomes so stakeholders can evaluate AI capabilities before committing to full scale deployment.

Deliverables
01
Working Prototype
02
Technical Validation Report
03
User Feedback Analysis
04
Go/No-Go Recommendation
Phase 02

Data Analysis & Model Selection

We run comprehensive data audits to assess quality, availability, and compliance requirements. Our engineers benchmark multiple models against your specific criteria including accuracy, latency, cost, and security to identify the optimal architecture for your use case.

Deliverables
01
Data Quality Assessment
02
Model Benchmarking Results
03
Architecture Recommendation
04
Security & Compliance Review
Phase 03

Full-Scale Development

We build production ready solutions with the security, scalability, and reliability your organization requires. Our generative ai implementation process includes rigorous testing, integration with existing systems, user training, and documentation to ensure successful adoption.

Deliverables
01
Production Deployment
02
System Integration
03
User Training Program
04
Technical Documentation
Phase 04

Performance Monitoring & Optimization

We set up continuous monitoring for model accuracy, response latency, and cost efficiency. Our MLOps practices include automated retraining pipelines, A/B testing frameworks, and proactive alerting to maintain peak performance as your data and requirements evolve.

Deliverables
01
Monitoring Dashboard
02
Performance Reports
03
Optimization Roadmap
04
Ongoing Support

Alliances & Technology Partners

Strategic partnerships that help us deliver better solutions for you

Microsoft Solutions Partner
OpenAI
Google Cloud
AWS
Salesforce
NetSuite Solution Provider

Alliances & Technology Partners

Strategic partnerships that help us deliver better solutions for you
01
Legal & Financial Services

Intelligent Contract Analysis Platform

We deployed an AI powered contract analysis system that extracts key terms, identifies risks, and compares clauses against standard templates. The solution processes 500+ contracts monthly with 94% accuracy.

85% faster contract review
GPT-4 Azure AI Search RAG
02
Retail & E-commerce

Customer Service AI Agent

We built an autonomous customer service agent that handles order inquiries, returns processing, and product recommendations. Integrated with CRM and inventory systems, it delivers real time responses.

60% fewer support tickets
Claude 3.5 LangChain Dynamics 365
03
Healthcare

Clinical Documentation Assistant

We implemented an AI assistant that generates clinical notes from physician dictation, codes diagnoses, and prepares prior authorization requests. The solution maintains full HIPAA compliance.

3+ hrs saved daily per physician
GPT-4 HIPAA-Compliant Azure
04
Manufacturing

Predictive Maintenance Copilot

We developed a conversational AI interface for maintenance technicians that analyzes sensor data, predicts equipment failures, and provides step by step repair guidance with visual references.

40% less equipment downtime
Gemini 1.5 IoT Integration RAG

Ready to Put Generative AI to Work for Your Business?

Schedule a technical consultation with our AI engineering team. We will assess your requirements, evaluate potential approaches, and outline a practical path to production deployment. No sales pitch. Just straight answers.

FAQs

What makes AlphaBOLD different from other generative AI consulting companies?
We have been doing this for 15+ years. As a Microsoft Solutions Partner, we know how to integrate AI with the systems you already use like Dynamics 365, Power Platform, and Azure. We do not just give you a strategy deck and walk away. We build, deploy, and support production systems that actually deliver results. Our gen ai consulting team has completed 150+ AI projects across manufacturing, healthcare, financial services, and retail.
How do you ensure data security and compliance in AI implementations?
Security is built into everything we do. We deploy AI within your existing security perimeter using Azure OpenAI Service, AWS Bedrock, or private model hosting. Our implementations include role-based access controls, encryption at rest and in transit, audit logging, and compliance with HIPAA, SOC 2, GDPR, and industry-specific regulations. Your data stays yours.
What is the typical timeline for a generative AI implementation?
A proof of concept typically takes 4 to 6 weeks. Full production deployment ranges from 3 to 6 months depending on complexity, integration requirements, and how ready your organization is. We use an agile approach with iterative releases so you see working functionality within weeks, not months. No big bang launches that take forever.
How do you choose between GPT-4, Claude, Gemini, and open source models?
We evaluate models against your specific requirements including accuracy, latency, cost, context window, multi-modal capabilities, and compliance needs. Many solutions benefit from a multi-model architecture where different models handle different tasks. We benchmark candidates against your actual data and use cases before making recommendations. No one-size-fits-all answers here.
What ongoing support do you provide after deployment?
We offer managed services including 24/7 monitoring, performance optimization, model retraining, and feature enhancements. Our MLOps practices ensure your AI systems maintain accuracy as data patterns evolve. We also run regular reviews to identify new opportunities for AI automation across your organization. We are in this for the long haul.
Can you integrate generative AI with our existing Microsoft or Salesforce systems?
Absolutely. Our generative ai integration services specialize in connecting AI capabilities with platforms including Microsoft Dynamics 365, Power Platform, Microsoft 365, SharePoint, Azure, Salesforce, and NetSuite. We build integrations that enhance your existing workflows without creating parallel systems or disrupting operations.