AI SOLUTIONS · SYSTEM DESIGN · DELIVERY
We do not sell vague “AI transformation.” We investigate the opportunity, prototype the risky part and build a system that can actually operate inside the business.
■What we build
The category depends on the problem. The common thread is simple: the system needs to understand context, use the right tools and get a real job done.
We build agents that use tools, check context, follow multi-step logic and stop for approval when the task matters. Good when a team keeps losing time to repetitive decisions and hand-offs.
Email, CRM, documents, databases and internal tools can work as one flow instead of a chain of copy-paste and status chasing. We focus on the bottlenecks that are expensive, frequent or painfully manual.
When information lives across docs, PDFs, tickets, drives and wikis, teams waste time searching or asking around. We build RAG and search systems that pull from the right sources and stay grounded in your data.
Some ideas need more than a workflow. They need an interface, logic, payments, reporting, user management and careful engineering. That is where ETW is especially useful.
●System pieces
The model is rarely the bottleneck on its own. The hard part is data access, action layers, permissions, interface design and how the system behaves once real people depend on it.
MCP servers, APIs, databases, permissions and action layers so the system can work inside your actual stack.
Extraction, classification, enrichment and routing across contracts, forms, reports and operational paperwork.
Lead qualification, triage, customer support and hand-off systems that move the conversation forward.
We investigate the awkward part first and test whether the idea is worth turning into a bigger build.
■Feasibility first
We investigate, prototype and test the limits before committing to a larger build. That is usually the fastest way to separate a strong AI opportunity from a shiny dead end.
Discuss a feasibility sprint ↘