AI Adoption
Bring AI and ML into your product predictably — the right tools, chosen with you, from chatbots and assistants to content generation and image intelligence.
Knowing AI could transform the product but not which tools, which risks, or where it actually pays off — and no reliable path from idea to something in production.
AI Adoption is the transformative process of integrating AI and ML capabilities into your business or product. The ADAAS team spans a spectrum of AI domains — Object Detection, Image Intelligence, and cutting-edge technologies like transformers, Large Language Models (LLMs) and top-tier services such as OpenAI. Whether you want a Q&A chatbot, an AI assistant, answer validation or a corporate content-generation tool, we help you identify the most suitable tools and guide you along the path to introduce AI into your operations seamlessly — empowering your venture with the efficiency, innovation and competitiveness AI can bring.
- The right AI/ML tools for the job, chosen with you — not hype.
- A path from idea to production that's predictable and low-risk.
- Access to a broad spectrum of AI expertise, from vision to LLMs.
- AI that improves efficiency, innovation and competitiveness.
A bounded, phased engagement. Each bar below is proportional to its estimated duration on a shared calendar.
Identify where AI/ML can move the needle in your product.
Match the opportunity to the most suitable models and services.
Introduce AI into your operations along a predictable path.
Concrete artefacts you keep — delivered in editable, open formats your team owns.
Opportunity Map
Where AI pays off in your product, and which tools fit.
AssessmentAdoption Plan
A predictable path to introduce AI into your operations.
PlanGuided Integration
Hands-on guidance selecting and introducing the right AI capabilities.
Sessions + guidance
The edges of this engagement, and what we’ll need from you to run it.
- Full custom model research beyond adoption of proven tools.
- Ongoing MLOps once the capability is live (separate engagement).
- Data collection or labelling programs at scale.
- Guarantees of specific model accuracy on your data.
- The business problem you hope AI can solve.
- Access to the product and any relevant data.
- A technical stakeholder to work with on integration.
- Openness about constraints — budget, privacy, latency.
Fixed-scope and outcome-priced — one agreed figure for a defined set of deliverables, with no hourly billing.
Per assignment; scales with AI scope and complexity.
- Fixed scope, agreed before we start — no open-ended hourly billing.
- One figure covers the full set of deliverables listed alongside.
- The number only moves with system complexity, and only by agreement.
- Opportunity Map
- Adoption Plan
- Guided Integration
Answers to the questions we hear most about this engagement.
What kinds of AI do you work with?
A broad spectrum — Object Detection and Image Intelligence through to transformers, LLMs and services like OpenAI — chosen to fit the problem.
What can you help us build?
Common cases include Q&A chatbots, AI assistants, answer validation and corporate content-generation tools — but we start from your problem, not a fixed menu.
Do you build a custom model from scratch?
Usually not — adoption is about selecting and introducing the most suitable proven tools predictably. Bespoke research is a separate engagement.
How do you keep it predictable?
We scope per assignment, match tools to a clearly defined opportunity, and guide the integration step by step.