Generative AI consulting services
Advance your business with AEGIS’ generative AI consulting services
Embarking on a digital transformation journey in the age of generative AI comes with its fair share of challenges and costly mistakes. AEGIS, a reputable generative AI consulting company, is ready to accompany you on this journey, mitigating the risks associated with generative AI development, such as accuracy, ethics, scalability, and ROI uncertainty.

Automation opportunity analysis
Gen AI readiness assessmentDoes your company really need generative AI consulting services? To determine this, we first assess what automation opportunities your organization could capitalize on and if Gen AI is the right technology to achieve the goal—whether it’s eliminating manual data entry or empowering non-technical users to build reports more quickly.

Gen AI readiness assessment
If generative AI is the right fit, our Gen AI consultants will pinpoint high-impact use cases and uncover gaps in data, infrastructure, talent, or strategy. We also advise on advanced approaches like RAG for reliable outputs and AI agents for complex workflows. This way, you get a clear, actionable path to enterprise-wide adoption.

Generative AI proof of concept
As part of our generative AI consulting services, AEGIS will help your company create a preliminary version of a Gen AI application. This proof of concept aims to test multiple hypotheses, assess their technical feasibility, select the best approach, and demonstrate the practical value of generative AI to your company’s stakeholders.

Generative AI strategy development
Our generative AI consulting services are built around developing Gen AI strategies and project roadmaps. We help clients identify promising Gen AI use cases and opportunities, prioritize use cases, devise phased roadmaps for adopting and scaling generative AI company wide, and educate your personnel on the novel technology systems.

Generative AI cost-benefit analysis
Our generative AI consulting company will help you evaluate development, deployment, and maintenance expenses against tangible business outcomes. For example, we can compare the cost of a custom Gen AI assistant with the potential savings from reducing call center workload by 40%. This ensures your Gen AI investments are both justifiable and strategically aligned.

Gen AI tech stack selection
After a thorough examination of your business objectives and current IT infrastructure, AEGIS generative AI consultants will recommend the best open-source or proprietary models, frameworks, and infrastructure for your project. When doing so, we consider factors like scalability, performance, security, and possible technology constraints.

Ethical Gen AI implementation
A dedicated generative AI consultant will help your company identify and address biases in Gen AI models and training data. This way, we can ensure that generative AI applications are created and used responsibly, with fairness, transparency, and adherence to ethical standards and regulations.

Generative AI performance optimization
AEGIS provides Gen AI consulting services to companies that have already adopted this technology or are aiming for end-to-end Gen AI integration. We help optimize cloud costs, choose servers for on-premises deployments, and enhance model outputs with prompt engineering and RAG.
Explore industry-specific use cases with our generative AI consultants
AEGIS’ generative AI consulting services will empower your firm to identify sweet-spot Gen AI applications for your sector, remain ahead of the disruption wave, and outperform competitors.

Healthcare
Use virtual patient models for risk-free clinical trials and research Tailor treatment plans to individual patients’ needs Improve the quality of medical images and generate synthetic images for model training Utilize patient data to forecast health trends and outbreaks Provide medical advice and boost patient engagement using Gen AI chatbots

Pharma
Reduce the time and costs of drug discovery Personalize treatment plans based on patients’ genomic data and health records Speed up the design and execution of clinical trials Accelerate laboratory research while minimizing human errors Ensure compliance with regulatory standards, including GMP, GCP, FDA, and EMA

Biotechnology
Facilitate the discovery of new drugs and therapeutic molecules Improve understanding of disease mechanisms by predicting protein structures Reimagine the design of biological parts, devices, and systems Revamp CRISPR gene editing and tissue engineering practices Enhance plant genetics for higher yield and pest resistance

Life sciences
Assess drug efficacy and side effects early in the development process Expedite research and data analysis Improve treatment outcomes through precision medicine Produce synthetic data for algorithm training and simulation Automate laboratory and clinical workflows

Retail
Make personalized promotions for specific customer segments Modify product designs based on customer feedback Forecast demand by analyzing historical and real-time data and market trends Refine inventory management practices Boost sales by optimizing store layouts

Ecommerce
Offer personalized product recommendations Create and optimize marketing copy for conversions Adjust pricing strategy based on demand, competition, and customer behavior Prevent stockouts and excessive inventory Analyze payment transactions to prevent fraud

Manufacturing
Design new products considering your objectives and constraints Anticipate equipment failures before they occur Anticipate disruptions and optimize inventory levels by simulating complex supply chains Identify and resolve issues during the manufacturing process Monitor and optimize energy consumption throughout manufacturing operations

Logistics
Improve decision-making capacity and reduce order response time Optimize delivery routes based on schedules, traffic patterns, and weather condition Reduce fleet downtime with predictive and prescriptive maintenance Maximize warehouse space utilization Maintain optimum inventory levels depending on sales data and external factors

Finance
Identify transaction anomalies Predict and execute trades using intelligent algorithms Personalize financial products and services Assess clients’ creditworthiness with greater precision Enhance or fully automate customer support and administrative tasks
Reap the full benefits of generative AI with expert consulting
Our generative AI consultants help organizations increase productivity, make more informed decisions, and reduce operational costs by strategically combining Gen AI with other artificial intelligence technologies. Harness AEGIS’s generative AI consulting services to:
Redefine automation
AEGIS blends Gen AI with robotic and intelligent process automation, and AI-based agentic systems to improve back-office operations, from scheduling and document processing to financial reporting. Collaborate with our generative AI specialists to achieve more with less!
Unleash creativity
With Gen AI consulting, you can choose effective proprietary and open-source tools for content creation. Whether you need to create text-based or graphic content for digital campaigns or improve your website's ranking, our AI consultants are here to help.
Reimagine data analytics
Gen AI will take your data analytics to new heights by creating synthetic data, automating data preparation tasks, and mastering anomaly detection and scenario simulation. Use generative AI consulting to uncover hidden insights in your corporate data!
Reach hyperpersonalization
Expert generative AI consultants will train intelligent algorithms to comb through your clients' purchase history, browsing habits, and social media interactions, producing relevant, personalized content across all touch points.
Test ideas instantly
At AEGIS, we have dedicated R&D professionals who specialize in generative AI consulting. We will use Gen AI to quickly test your ideas and concepts, create functional prototypes, and fine-tune product design, resulting in new revenue opportunities for your company.
Fortify security
Our Gen AI consulting services include teaching algorithms to model, anticipate, detect, and mitigate cybersecurity risks. Specifically, we will explain how to use Gen AI for network architecture and traffic analysis, data encryption, and cybersecurity training.
Learn how AEGIS approaches generative AI consulting
- Understanding your vision. As a first step in generative AI consulting, we evaluate your near- and long-term objectives, existing IT infrastructure, AI readiness, and potential financial impact. A Gen AI consultant will ensure that stakeholders are engaged throughout the process.
- Handpicking the best tools. A generative AI consulting team will propose proprietary or open-source language models, large or small, or recommend a multimodal Gen AI solution. We’ll figure out whether you can use the model as is or fine-tune it using your data.
- Architecting the infrastructure. Depending on the selected implementation approach, our generative AI consulting company will recommend a suitable cloud-based, hybrid, or on-premises infrastructure, as well as complementary software solutions.
- Finding the right data. We investigate where your structured and unstructured data comes from and resides. Next, our generative AI consultants will sort and prioritize data sources for your initiative and recommend workarounds if the data is lacking.
Artificial intelligence consultants with domain expertise
- Tangible outcomes. As a reliable Gen AI consulting partner, AEGIS always ties your vision to specific outcomes. We accomplish this by taking a "start small, think big" approach, proposing ways to battle-test generative AI on specific, isolated use cases before gradually introducing technology throughout the enterprise.
- Flexibility. As a generative AI consulting company committed to our clients' success, we provide a variety of collaboration options, including staff augmentation, dedicated teams, and a virtual CTO. We are also vendor-agnostic and can assist you with product discovery, proof of concept, MVP development, and full-fledged Gen AI implementation.
- Extensive expertise. With a background in AI consulting and development, as well as specific technologies like NLP and computer vision, AEGIS is regarded as one of the leading generative AI consulting companies that serves both enterprises and medium-sized businesses.
- In-house generative AI consultants. Our 250+ person generative AI consulting company has a research and development department dedicated to driving innovation, both internally and for our clients.
FAQs
Generative AI consulting services offer businesses expert guidance on the responsible adoption, scaling, and governance of Gen AI. A consulting partner’s role revolves around identifying suitable use cases, developing a comprehensive strategy, testing ideas through PoCs, and assisting clients with enterprise-wide Gen AI deployment.
Gen AI consultants identify high-value use cases, from marketing automation to customer service chatbots, and build a phased generative AI implementation roadmap for companies. This reduces risks, accelerates adoption across departments, and guarantees quick ROI.
Consider experience in your industry, strong case studies, and scalability expertise. The best generative AI consulting firms (2025) provide both strategy and delivery, as well as vendor-agnostic support.
Benefits include faster innovation, lower costs, and higher efficiency. For example, through generative AI consulting, a company looking to improve customer experience can use the technology to personalize content and provide support at scale.
Traditional AI consulting typically helps organizations apply AI for tasks like automation, decision support, and forecasting. Generative AI consulting, on the other hand, guides companies in discovering how to harness Gen AI to create new text, images, code, and other outputs. It also entails providing guidance on bias mitigation, governance, and responsible adoption. To dive deeper into the subject, see our article on Generative AI vs. AI.
Responsible generative AI consulting and ethics compliance include auditing training data, testing outputs, and applying bias mitigation strategies. For example, consultants ensure healthcare chatbots provide fair, transparent advice.
Most follow a phased roadmap: readiness assessment, proof of concept, pilot deployment, and scaling. This phased generative AI consulting roadmap for companies reduces risks while ensuring measurable outcomes.
Yes. A generative AI consulting company for cloud infrastructure can right-size resources, optimize storage, and reduce API calls, lowering cloud costs without sacrificing performance. Consultants can also advise on caching strategies, model deployment options (cloud vs. on-premises vs. hybrid), and cost-effective generative AI techniques like workload scheduling and fine-tuned model usage.