
What AI-assisted engineers deliver differently

“There’s a version of AI augmentation that just means you have more people with access to ChatGPT. That’s not what we build.
Our engineers use AI tooling as a structured part of their workflow — copilot-assisted development, automated code review, AI-generated test coverage — applied consistently and reviewed rigorously.
The result is faster delivery, earlier risk detection, and production-ready output. The AI handles the repetitive work. The engineer handles the judgment. That’s the combination that actually moves your roadmap.”
Oles Dobosevych
Head of Data Science/Data Engineering
Start with a focused engagement to close a specific gap, or bring in a sustained augmentation team to accelerate a broader roadmap. Here is what these engagements produce in practice.



IT experts are ready to start building AI PoC for you

Check if your AI idea is worth building
Download the whitepaper to evaluate AI use cases, set value gates, validate PoCs, and scale only the workflows that prove measurable value. Includes readiness score, use case framework, PoC validation steps, governance, and scaling roadmap, based on Geniusee’s internal AI transformation, where one workflow saved up to 120 hr/month.
From first call to first commit, a structured process that gets the right people into your team fast and keeps them productive throughout.

Strategic needs assessment
We align with your objectives, scope, and risk profile, then map the capability gaps in your current setup. We draft role definitions, success metrics, and technical requirements for every position, so the engineers we place match what you actually need.
NDA execution
A bilateral NDA goes into place immediately, protecting all data, documentation, and intellectual property before any information is shared.
Expert selection
Our talent team curates candidates through in-depth technical assessment, domain screening, and culture-fit interviews. You see the final shortlist and confirm alignment before anyone starts. Typically, 1–2 weeks from needs assessment to approved candidate.Our talent team curates candidates through in-depth technical assessment, domain screening, and culture-fit interviews. You see the final shortlist and confirm alignment before anyone starts. Typically, 1–2 weeks from needs assessment to approved candidate.
Compliant hiring
We handle employment contracts, compensation, and mandatory filings across jurisdictions — full compliance with labor laws, tax requirements, and your own governance policies. You don’t manage the employment relationship; you manage the work.
Clear onboarding and oversight
Chosen specialists receive domain orientation, toolchain access, and security credentials on day one. Structured check-ins and performance reviews keep deliverables on track throughout the engagement. You have visibility into progress without managing the operational overhead.
Genuisee’s versatile experience, gained over more than 8 years, has enabled us to form a team with a proven track record.

Why choose Geniusee for AI staff augmentation services?
| What we bring | What it means for your business |
| • 200+ completed projects since 2017• 300+ cross-functional engineers | You leverage a stable, battle-tested software partner with a global footprint across 20+ countries, minimizing vendor risk. |
| • AWS Advanced Tier Partner• Dedicated AI/ML, NLP, and GenAI specialists | No onboarding lag. Specialists align with your exact tech stack and begin shipping production-ready code within 1-2 weeks. |
| • ISO 9001 & ISO 27001 Certified• ISTQB-certified QA protocols | Total data security and structural integrity. Every AI-assisted artifact undergoes human review to safeguard your codebase. |
| • Fixed Scope, T&M, or Dedicated Teams, Full-lifecycle support | Pay only for the capacity you need. Scale resources dynamically without adding long-term salary or benefits liabilities. |

Certified AWS Partner delivering secure, scalable cloud-native solutions.

ISO-compliant processes ensuring quality, security, and reliability.

Trusted integration partner for financial data connectivity and open banking.

Team of ISTQB-certified QA engineers for world-class software testing.

Consistently rated ★5.0 by clients for reliability and delivery excellence.

Accredited partnership supporting advanced testing and continuous QA automation.
What is AI staff augmentation?
AI staff augmentation means extending your existing team with external engineers who use AI tooling — copilots, automated code review, NLP models — alongside their own expertise to deliver faster, at lower cost, without sacrificing quality.
How quickly can augmented engineers start?
Most engagements reach the onboarding stage within 1–2 weeks of final candidate approval. Our structured process (needs assessment, vetting, NDA, compliant hiring) is designed to remove friction at every step.
How does AI staff augmentation differ from standard outstaffing?
Standard outstaffing provides additional headcount. AI-augmented staffing provides headcount plus AI tooling, validated workflows, and senior oversight — so you get measurable productivity gains on top of the extra capacity. See how our dedicated team model works.
What industries do you work in?
Primarily fintech, edtech, retail, and enterprise SaaS — though our engineers cover a wide range of domains. If you have a niche requirement, we will let you know upfront whether we can meet it.
How do you protect our IP and data?
A bilateral NDA is signed before any information is exchanged. We operate under ISO 27001 standards and are fully compliant with relevant data protection regulations, including GDPR.
What pricing models do you offer?
We offer flexible engagement models: Fixed Scope for bounded deliverables, Time & Materials for evolving requirements, and Dedicated Teams for sustained augmentation. You pay for the capacity you need without long-term employment liabilities.






























