Discovery & architecture
Requirements, feasibility and solution design, when included in the engagement.
CUSTOM AI ENGINEERING
From business challenge to production-ready AI.
Custom AI projects begin with understanding the business problem, existing systems and technical constraints. We define the right solution, validate critical assumptions and deliver software against agreed requirements.
THE ENGAGEMENT MODEL
From requirements to acceptance and operations.
- 01
Discovery & Solution Design
Assess the process, applications and data. Define requirements, feasibility, architecture and risks; establish acceptance criteria and estimate delivery.
Requirements specification · architecture proposal · integration approach · delivery plan and effort estimate
- 02
Proof of Concept / Pilot, when needed
A prototype can test document extraction, model behavior or access to an application. Use representative data and record the limitations.
Functional prototype · evaluation results · limitations · recommendation for implementation
- 03
Custom Development & Integration
Implement software and AI components, connect data and applications, perform testing and business validation, and prepare documentation.
Implemented system · agreed integrations · test evidence · documentation and acceptance results
- 04
Deployment, Acceptance & Support
Prepare deployment and handover, clarify operational responsibilities and monitoring options. Support, maintenance and enhancements are agreed separately.
Launch plan · handover · responsibilities · support and evolution terms
Initial qualification and detailed technical discovery may have different commercial arrangements. A prototype is optional and is not a production system. Implementation and final customer acceptance are distinct milestones.
COMMERCIAL STRUCTURE
How is a custom AI project priced?
Estimation starts with requirements and what must be validated and delivered. Costs are separated so responsibilities and usage are clear.
- Requirements and integration complexity
- Data availability and quality
- AI components, security and deployment conditions
- Testing, validation and acceptance
Development & implementation
The agreed software, integrations, tests and deployment.
AI model usage
Usage-based charges depend on models, volume and hosting arrangements.
Infrastructure & hosting
Runtime, storage and operational services are scoped separately.
Third-party software
Licenses and subscriptions are identified before committing to a solution.
Optional maintenance & support
Responsibilities, response arrangements and ongoing improvements are agreed explicitly.
There is no universal price or included unlimited support. Deliverables, acceptance criteria, responsibilities and costs are confirmed in the project proposal.
LET’S BUILD TOGETHER
Have an AI project in mind?
Tell us about your business challenge, existing systems or automation opportunity. We’ll help define a practical next step.