AI works when it understands your workflow.
ALTE builds applied AI and automation for industries where speed, process quality, data safety and customer response time directly affect business results.
Choose your business context.
Select the industry closest to your workflow and business problem. Each includes a short description and a relevant case.
Real Estate & Development
AI assistants and automation for lead qualification, broker support, property matching, CRM workflows, listing data and WhatsApp communication.
Fintech / Banking / KYC
KYC automation, onboarding workflows, document pre-checks, case summaries, compliance support and human-in-the-loop review.
Enterprise / Corporate Teams
Controlled AI pilots, internal knowledge assistants, document workflows, reporting assistants, proof-of-value and department-level automation.
E-commerce / Retail
AI personalization, recommendation engines, product catalog automation, customer support automation and repeat purchase workflows.
Professional Services
AI reporting assistants, research summaries, proposal drafts, internal knowledge search, document comparison and client-ready materials.
Construction / Development
Predictive maintenance, risk signal dashboards, site reporting automation, project reporting assistants and operations knowledge bases.
Luxury / Yacht Charter
AI concierge systems for availability questions, route suggestions, request qualification, preference collection, WhatsApp handling and manager handoff.
Generic AI fails when workflow context is missing.
Success depends less on the model name and more on how well the solution understands your process, data, users, team roles, infrastructure and operational constraints.
Every industry has different data and infrastructure risks.
ALTE defines the infrastructure, access roles, integrations and data flows required for each industry context before deployment — protecting personal data and keeping the solution aligned with your operations.
- Infrastructure planning & setup
- Secure deployment logic
- Access roles & permissions
- Data flow mapping
- Personal data protection by design
- Integration with client tools
- Human control points
Every industry project starts with audit.
Discovery Call → Audit → Infrastructure & Data Review → Discovery Sprint / Technical Discovery → MVP Build + Infrastructure → Secure Launch & Scale.
Discovery Call
We identify the business problem, current workflow, expected outcome and potential AI opportunity.
Workflow Audit
We study your process, data, tools, users and constraints before defining what should be built.
Infrastructure & Data Review
We map data sources, access roles, integrations and deployment needs — and define personal data protection by design before any build.
Discovery Sprint
We turn audit findings into MVP scope, architecture, integrations, delivery logic and success metrics.
MVP Build + Infrastructure
We build the first working version, configure infrastructure and prepare secure deployment.
Secure Launch & Scale
We deploy, configure access, onboard the team, monitor feedback and prepare for wider rollout — data protected.
Don't see your industry? Let's discuss your workflow.
If your business has manual work, slow handoffs or scattered data, there is likely an AI-enabled solution worth scoping.