Consulting · Design · Implementation
AI-powered B2B & B2C Applications
Consulting, product design and development of business applications using AI technologies, from internal tools to customer-facing B2B and B2C platforms.
What this service covers
B2B applications support employees, partners and business customers; B2C applications serve individual consumers. The goal is to turn a specific business process into a usable digital product, such as a partner portal, sales tool, customer self-service platform or reporting application. AI can support development or selected product functions when it improves a defined task.
How we approach the work
We first identify users, decisions, existing tools and available data, then prioritize a prototype or delivery scope. AI functions are assessed for data access, output quality and the need for human review. The solution can combine conventional application logic, integrations and selected AI capabilities; confidential data is not sent to AI providers by default.
What you receive
- Discovery: prioritized requirements, user journeys, AI suitability assessment and measurable acceptance criteria.
- Design: interface prototype, application and data architecture, roles, integrations and an AI evaluation plan where relevant.
- Development, if commissioned: agreed application features, integration and authorization test findings, user acceptance and deployment/handover documentation.
Deliverables depend on the phases and items agreed in your proposal.
Turn business workflows into useful applications.
Companies digitizing operations, platform founders and teams developing products for business or consumer users.
Services in this area
B2B & operational applications
Sales and account-management tools, partner portals, CRM workflows, reporting dashboards, process automation and decision-support applications.
B2C & customer platforms
Customer portals, loyalty and rewards, digital commerce workflows, self-service interfaces and engagement applications.
Applied AI & integrations
AI-assisted prototyping and engineering, selected generative-AI workflows, API integration and automation, with data access and human review defined for each use case.
From assessment to implementation
01
Consulting & discovery
- Users, workflows and business requirements
- AI use-case suitability and data readiness
- Prioritized scope, prototype goals and acceptance criteria
02
Product & system design
- User journeys, interfaces and data model
- Application architecture, roles and integrations
- AI evaluation approach and human-review points
03
Development & delivery
- Iterative application development using AI-assisted engineering
- Integration, functional and access-control testing
- User acceptance, deployment preparation and handover
Relevant experience
Relevant experience includes GLOOK.ME, KOPA and AI-assisted development of internal sales, account-management and decision-support tools.
VIEW PROFESSIONAL BACKGROUND ↗What to share first
- Target users and workflows to improve
- Existing applications and integration requirements
- Available data types and access restrictions
- Priority features, budget range and delivery constraints
Start with a non-confidential summary. Document exchange and access requirements are agreed separately.