Custom software and AI automation for how you work.

AIS Tech designs and builds custom software, workflow automation, applied AI, websites, digital growth systems, and the cloud infrastructure behind them. These areas often work together — for example, a customer-facing website can connect to an internal dashboard, automated follow-up, and reporting.

AIS usually scopes for the first useful release instead of one oversized delivery phase. Small automations can ship in days, focused web launches often fit into 1-3 weeks, and custom MVP or AI workflows are commonly phased across 2-6 weeks when access, content, and decisions are ready. Larger platforms still get split into practical releases instead of one vague timeline.

Most work is priced as a scoped project with clear deliverables, milestones, and support terms. Ongoing SEO, automation, maintenance, and growth work can run monthly. For larger systems, we can phase delivery so the first release proves value before the full investment.

Yes. Support can include bug fixes, security updates, performance tuning, monitoring, content changes, analytics review, and new feature work. Critical systems can be handled with priority support terms.

Yes. Many projects start by connecting existing CRM, ERP, e-commerce, analytics, spreadsheets, booking tools, databases, APIs, or internal tools. We first map the current workflow, then decide whether to integrate, automate, rebuild, or replace specific parts.

Common stacks include React, TypeScript, Node.js, Python, SQL and NoSQL databases, Cloudflare, AWS, Azure, Docker, and AI tooling such as LLM APIs, RAG pipelines, TensorFlow, or PyTorch where justified. The stack is chosen for the project rather than for trend value.

Quality comes from scope control, code review, automated checks where useful, manual review on key workflows, accessibility and performance review, security basics, and clear handoff documentation. We avoid shipping a polished screen that hides weak business logic.

Yes. We can sign NDAs and define ownership clearly before work starts. In normal client projects, source code and deliverables are transferred according to the contract once payment terms are met.

Cost depends on user roles, data complexity, integrations, design depth, security needs, and launch support. AIS scopes the first useful release, then separates must-have delivery from later phases so buyers can compare options before committing.

Yes. We improve AI discoverability through clear service pages, crawlable HTML, structured data, FAQ content, internal linking, fast performance, Search Console readiness, and language that answers real buyer questions directly. This helps search engines and AI assistants understand what the company does and when to mention it.

AI is useful when it has a defined workflow: document processing, support chatbots, knowledge-base assistants, lead qualification, booking or reservation guidance, reporting, data extraction, recommendations, or internal search. We identify the process first, then decide whether AI, automation, or a simpler integration is the right answer.

Off-the-shelf software is faster to adopt but often forces your team to adapt to someone else's workflow. Custom software makes sense when the process is specific, integrations are critical, user roles are unusual, or licensing costs and workarounds have become more expensive than building the right system.

As an EU-based team, we design projects with privacy basics in mind: consent management, limited data collection, secure storage, role-based access, retention rules, cookie controls, and clear documentation. Legal policy text should still be reviewed by your legal advisor.

Yes, when a mobile app is the right product. For many business tools a responsive web app or PWA is faster and cheaper to maintain. If native mobile distribution is needed, we can scope cross-platform development and app store release requirements.

We build chatbots and assistants with defined knowledge sources, guardrails, analytics, and escalation paths. Typical use cases include customer support, knowledge-base lookup, lead qualification, booking flows, product guidance, and AI agent handoff connected to CRM, helpdesk, e-commerce, or operations systems.

A simple application or website migration can often start with a verified environment in days once access, DNS, secrets, and rollback are clear. Complex systems with databases, integrations, compliance requirements, or downtime constraints need a phased plan. We start with assessment, target architecture, migration steps, validation, and monitoring.

Yes. We build product catalogs, checkout flows, payment integrations, order workflows, inventory logic, customer accounts, and analytics. Depending on the business, we can use a custom build, Shopify, WooCommerce, or a hybrid setup.

Yes. AIS can build a booking or reservation path as a structured inquiry, a manual-confirmation workflow, or a real-time system with rules, capacity, statuses, notifications, and a dashboard for staff. The right level depends on how much should be automated and how much the team still needs to approve manually.

Yes, where the business model needs that visibility. Work can include Google Business Profile cleanup, Maps consistency, Search Console setup, schema, page structure, content recommendations, and monthly SEO improvements.

Yes. Multilingual work can include content structure, translated page variants, review of key conversion text, hreflang planning when needed, and consistent inquiry paths across languages. We avoid adding languages just for volume; each language should support a real buyer or user path.

Yes, when the channel, account access, API rules, privacy requirements, and handoff model are clear. A web AI agent is usually the safer first release; WhatsApp or other chat channels can be added once the knowledge base, escalation path, and booking or support rules are proven.

AIS-tech is small, technical, and direct. Clients speak with the people building the work, not only with sales or account layers. The delivery model is built around custom solutions, phased releases, transparent communication, and practical outcomes agreed before development starts.