AI software development services
What we build
AI agents
Software that takes a job and runs it: reads from your systems, makes decisions, calls the tools it needs, hands back a result. Customer-facing or internal, voice or chat, single-task or multi-step.
RAG systems
AI that answers from your documents, knowledge base, or product catalog instead of guessing. Built so the answers stay current as the underlying data changes.
Content automation
Generation pipelines for product descriptions, marketing copy, documentation, translations, or anything else where the same content type needs to ship at scale. Our own WriteText.ai is one of these, built for ecommerce.
AI features inside your product
Search, recommendations, summarization, classification, smart forms, copilots. The kind of capability that used to be a separate product and now belongs inside yours.
MCP servers
Connectors that let your team's AI tools (ChatGPT, Claude, Cursor, or anything else) work directly with your business systems. Built on the Model Context Protocol, the emerging standard for AI-to-software integration. Your data becomes accessible to AI without copy-pasting.
Workflow and integration automation
AI sitting between your CRM, ERP, PIM, and ecommerce platform. Reconciling records, triggering actions on events, escalating exceptions to the right person, explaining itself when asked.
Custom AI tools for your team
Internal assistants, document processors, research tools, anything where your team is currently doing repetitive knowledge work that a well-built AI tool can absorb.
What changes for you
Work your team is doing manually, gone.
AI is good at the parts of work that are repetitive, rule-following, or comprehension-heavy. We find those parts and automate them.
A system you own.
When we ship, you own the code, the prompts, the integrations, and the deployment. No vendor lock-in to a platform that doesn't exist in two years.
Built with your stack, not against it.
We integrate into the systems you already run. Your CRM, your ERP, your ecommerce platform, your authentication, your data warehouse. AI features that work where your team already works.
AI that holds up after launch.
Every AI feature we build ships with monitoring, evaluation tests, and a clear path to upgrade the underlying models when better ones come out. The system doesn't degrade quietly.
How we approach the build
Discovery. We listen to the problem, look at the systems involved, and tell you whether AI is the right shape for it. Sometimes the answer is no, and we say so.
Proof of concept. For projects with technical uncertainty, we build a working version against your real data first. You see it run before committing to a full build.
Production build. Full integration, authentication, logging, error handling, the evaluation harness, documentation.
Operation and handover. Monitoring, prompt tuning, model upgrades, and gradual handover to your team. Or we keep operating it, your call.
The technical side, briefly
We work with whichever AI models suit the project, evaluated on your data before we commit. The field moves fast and we move with it, so we don’t standardize on one provider or one framework. What we do standardize on is the engineering around the AI: clean integrations, proper authentication, real monitoring, evaluation sets that catch regressions, and code that any competent engineer can read and maintain.
Commonly asked questions
Can you work with our existing development team?
Yes. We deliver as a standalone team or alongside your engineers, transferring knowledge as we go. The handover plan is part of how we scope the project.
What if the AI doesn't perform well enough?
That’s why projects with technical uncertainty start with a proof of concept against your real data. You see performance before committing to the full build.
Where does our data go?
For most projects we use commercial AI providers with data-retention-off settings and no training on customer data. For projects with strict residency or confidentiality requirements, we set up the deployment to match.
Can you maintain the system after launch?
Yes. We can also hand the system over to your team with documentation and training. Either works.
Do you build AI features into projects that aren't AI projects?
Yes, often. Our regular software development work increasingly includes AI features where they fit. If you’re not sure whether your project counts as an “AI project,” it doesn’t matter. Same team, same approach.
Book a consultation to explore how AI and 1902 Software can transform your next ecommerce project — faster, smarter, and more cost-efficient.