AI Consulting Services

Who is AI consulting for — startups, SMBs, or enterprises?

At SysGears, we have the resources and expertise to address the needs of businesses of various sizes and types, including startups, SMBs, and large enterprises. For example, we help founders assess AI implementation feasibility, identify core value features, and build a cost-efficient MVP to attract first customers and gather tangible usage data for investor pitch decks. For enterprises, we identify workflows that can be automated with AI and develop an actionable AI adoption strategy based on specific data, integration, security, and compliance requirements.

How does the AI consulting process work, from first call to roadmap?

First, we organize a discovery call to learn more about your AI needs and business goals. Once we finalize our cooperation terms and sign a Service Agreement, we assign a business analyst and a software engineer to explore your use case in detail. They analyze your processes or software product, data landscape, integration points, and technical constraints to determine where AI can be justified as compared to traditional automation. Then, they help you select an AI tech stack and implementation approach that fits your use case and budget. Next, our team plans integrations with the existing software ecosystem and defines relevant security and compliance guardrails to be implemented.

What deliverables do we walk away with after a consulting engagement?

The exact deliverables depend on the reason you seek AI consulting — whether to build  AI-powered software from scratch, develop an AI adoption strategy for your business, or improve the cost-efficiency of the existing AI app. Our clients usually receive a product development strategy that outlines the AI solution’s scope, model, or services to integrate, data and infrastructure requirements, key technical risks, and estimated implementation timeline and budget.

Do you only advise, or do you also build what you recommend?

As an AI software outsourcing company committed to long-term engagements, SysGears can build your AI solution from the ground up. Once feasibility is evaluated, the model or service is selected, and an implementation roadmap is defined, we proceed with project implementation: building AI-powered features, integrating AI into existing systems, implementing RAG pipelines, and creating agentic workflows.

You can browse our portfolio and read our clients’ reviews to make sure we are the partner you are looking for.

Who will actually work on our project, and do we need technical staff on our side?

Our cross-functional team can cover AI app development end-to-end — from concept refinement to deployment and maintenance — so you don’t need to hire any technical specialists in-house. Though team composition and roles depend on your individual needs, we usually provide a business analyst, several software developers with AI integration expertise, QA specialists, a UI/UX designer, and a project manager. All our team members work closely together and cooperate with you or your representative to ensure the implementation remains aligned with your business goals.

Can you help us integrate generative AI models into our existing software?

Yes. Based on your use case and budget, we help you select an appropriate foundation model and integrate it into your existing software. Our team has experience integrating OpenAI (GPT), Anthropic (Claude), and Google (Gemini) models as well as AI-powered services for speech recognition, voice generation, transcription, and analytics, including OpenAI Whisper, ElevenLabs, and OpenAI Realtime API.

How do you protect our data and IP during an AI engagement?

Before joining your project — either as consultants or developers — we sign a comprehensive NDA and Service Agreement, defining you as the sole owner of the codebase and other project components delivered throughout our partnership. On the technical side, we follow data minimization principles, configure permission-based access to project materials, implement secrets management for credentials and access keys, and control logging to restrict sensitive information storage. However, note that the use of third-party AI models is regulated by the respective provider’s terms of service. On our end, we restrict or disable data retention and model training where supported by the provider.

How do you handle AI accuracy and bias?

It’s important to remember that no LLM can guarantee accuracy and absence of bias. However, we can decrease the risk of biased and irrelevant outputs through prompt engineering, grounding with verified data sources, careful testing, output validation, and human review where needed.

How much do your AI advisory services cost?

The total cost of AI consulting services depends on the project scope and its complexity, as well as the seniority of the AI consultant you hire. Before delivering preliminary estimates, we need to discuss your needs in more detail. Let’s talk today!