The AI hype cycle is behind us. What remains are real, deployable tools that can meaningfully reduce manual work, speed up decisions, and surface insights that were previously buried in data. Here is what we are actually building for clients in 2026.
Intelligent Document Processing
Contracts, invoices, intake forms — most businesses are still processing these by hand. We build pipelines that extract structured data from unstructured documents using LLMs combined with post-processing validation. A client recently cut their invoice processing time from 4 hours to 12 minutes per day.
Predictive Analytics Dashboards
Rather than dashboards that show what happened, we build dashboards that show what is likely to happen. Churn prediction, demand forecasting, and lead scoring models are now accessible to businesses without a data science team — the heavy lifting is done in the infrastructure we build.
Workflow Automation with AI Triggers
AI shines when it handles the decision layer of a workflow — routing support tickets to the right team, flagging anomalous transactions, or summarising long email threads before they reach a human. We wire these capabilities into existing tools via API.
The most valuable AI implementations are narrow, reliable, and solve one painful problem extremely well. We help clients find those opportunities and build them carefully.