Generative AI Consulting & Workshop

Build your AI roadmap to ROI in just 1 day

Start with a 1-day AI workshop to identify high-impact opportunities, assess your business readiness, and define a clear roadmap for adoption and measurable ROI.

Generative AI Consulting & Workshop Visual

Do these AI challenges sound familiar?

68%

of organizations report that organizational and cultural factors present their biggest barriers to AI adoption and scaling.

ORG
SourceIndustry Study

82%

of companies recognize the need for external AI expertise but lack sufficient internal talent and organizational capacity to execute independently.

SKL
SourceCapability Survey

71%

of enterprises struggle to deliver measurable business value from AI initiatives due to unclear strategy, misaligned priorities, and execution challenges.

VAL
SourceMarket Research

Turn AI into measurable ROI with dologics

Accelerated time-to-value

Deploy working GenAI applications in weeks, not months, by leveraging proven methodologies, pre-built patterns, and our team's operational expertise.

Clear ROI and impact metrics

Define and track quantifiable business outcomes—efficiency gains, cost reduction, quality improvement, or revenue growth—tied directly to AI initiatives.

Governance & responsible AI

Build AI systems that adhere to ethical standards, regulatory frameworks, and internal governance policies for enterprise-grade deployment and stakeholder trust.

Scalable and sustainable systems

Create AI solutions engineered for production reliability with built-in monitoring, error handling, and optimization loops that improve over time.

Unlock AI value with expert-led consulting

Generative AI Workshop

Engage with our experts in a focused session to explore AI opportunities specific to your business, understand capabilities and limitations, and co-develop a prioritized action plan.

Enterprise Readiness Assessment

Evaluate current state of data infrastructure, team capabilities, security posture, and governance maturity to identify gaps and required investments for successful AI deployment.

Use-Case Prioritization & Business Modeling

Systematically evaluate potential AI initiatives against business value, technical feasibility, and resource requirements to focus investments on highest-impact opportunities.

Responsible AI & Governance Strategy

Define ethics frameworks, compliance requirements, risk protocols, and oversight structures to ensure AI systems operate safely, fairly, and transparently.

Proof of Concept Execution

Rapidly build and test AI concepts in controlled environments with real data and workflows to validate assumptions, measure impact, and de-risk full deployment.

Custom LLM & Model Deployment

Configure, fine-tune, and integrate large language models or other AI models to your specific use cases, data contexts, and operational constraints.

Retrieval-Augmented Generation Systems

Develop RAG architectures that ground AI outputs in your internal knowledge bases, documents, and data for accurate, contextual responses.

Business Process Automation

Design and implement intelligent workflows that combine AI decision-making with business logic to streamline operations and reduce manual work.

Content Generation & Personalization

Leverage generative AI to create, customize, and scale marketing content, product descriptions, recommendations, and user-facing communications.

Developer Productivity Tools

Build AI-powered coding assistants, documentation generators, and development utilities that increase engineering efficiency and code quality.

AI Infrastructure & Operations

Establish production-grade platforms with model management, automated deployment, monitoring, and observability for reliable AI systems at scale.

Agent-Based & Multimodal Solutions

Create autonomous agents and systems capable of reasoning across text, visual, and audio modalities to solve complex, multi-step business problems.

Execution Roadmap

Our approach: starting with a 1-day workshop

1

Workshop & Opportunity Mapping

We facilitate a collaborative workshop to analyze your workflows, identify GenAI applications, and evaluate technical and organizational readiness. You'll leave with a prioritized roadmap of opportunities.

Key Outcomes: Use-case backlog, readiness profile, and phased implementation plan.

Timeline: 1 Day - 2 Weeks
2

Technology Architecture & Design

Our engineers design a scalable, secure architecture for GenAI systems, including model selection, data pipelines, and integration patterns. We document standards for governance, monitoring, and compliance.

Key Outcomes: Architecture diagram, design documentation, governance framework, and compliance checklist.

Timeline: 2 - 4 Weeks
3

Prototype Development & Testing

We build a working prototype that demonstrates core functionality, validates assumptions, and measures business impact. This focuses on speed to insight and end-user feedback before full scaling.

Key Outcomes: Functional prototype, performance metrics, user feedback, and lessons learned.

Timeline: 4 - 8 Weeks
4

Production Deployment & Growth

We harden the prototype into production systems with automated operations, continuous monitoring, and optimization loops. Ongoing support and expansion roadmap enable sustained value delivery.

Key Outcomes: Production system, operations manual, monitoring dashboards, and expansion roadmap.

Timeline: 3 Months+

Not sure where to start with AI? Start here!

Discover where AI can create value and plan your next steps, all in just 1 day.

OpenAI
OpenAI
Anthropic
Anthropic
Gemini
Gemini
DeepSeek
DeepSeek
Llama
Llama
Mistral
Mistral

Frequently Asked Questions

Exploring the Solutions You Need!

In one day, we facilitate discovery sessions to understand your operations, brainstorm AI applications, assess your readiness across data/tech/people dimensions, and co-develop a prioritized roadmap with next steps and resource estimates.

We emphasize speed and practicality. Rather than months of analysis, we validate ideas quickly through prototyping, focus on measurable business outcomes, and move directly from planning to execution.

Ideal participants include business unit leaders, product/operations stakeholders who understand process pain points, technical decision-makers, and anyone responsible for innovation or digital transformation initiatives.

The workshop is the entry point. We offer full-lifecycle services including detailed architecture design, model integration, data pipeline development, security and compliance setup, and production deployment and optimization.

We apply a balanced assessment: impact (business value), feasibility (technical lift, data availability), and timeline (when results are needed). This helps identify 'quick wins' alongside strategic initiatives.

We're tool-agnostic and experienced across all major platforms: AWS, Azure, Google Cloud. We work with OpenAI, Anthropic, open models, and frameworks like LangChain, and vector databases like Qdrant and Weaviate.

The 1-day workshop gives you a roadmap. Typically, you can have a working prototype within 4-8 weeks and a production system within 3-4 months, depending on scope and complexity.

Not at all. We're here to guide you. The workshop demystifies AI capabilities, and our team becomes an extension of yours, handling technical execution while building internal knowledge and capabilities over time.