Real problems, practical AI
A few illustrative examples of the work we do. These are representative scenarios - your project will be tailored to your business.
Support inbox that answers itself
Problem: A 6-person team was drowning in repetitive order and returns questions, with replies taking hours.
Solution: A RAG assistant trained on policies and order data drafts grounded replies for agents to approve.
- ~70% of tickets auto-drafted
- First-response time minutes, not hours
- No new headcount
Proposals drafted in minutes
Problem: Consultants spent hours hand-assembling proposals from past projects and scattered docs.
Solution: An automated workflow pulls relevant past work and drafts a tailored proposal for review.
- Draft time cut by 80%
- More consistent quality
- More proposals sent per week
A tiny model that classifies every shipment
Problem: Calling a frontier model on every shipment note was slow and expensive at scale.
Solution: A fine-tuned small language model classifies notes accurately at a fraction of the cost.
- ~90% cheaper per call
- Sub-second latency
- Accuracy on par with the big model
Note: these are illustrative scenarios that represent the type and scale of work we take on, not named client engagements.
Have a process that's begging for AI?
Tell us what you're trying to improve. We'll reply with an honest take and a suggested first step - usually within two business days.