Intelligent systems, built into what you already run.
Support that understands your customers. Search that understands your catalog. Agents that carry out the work on their own - and systems built for the problem no product on the market solves.
A customer's question, resolved end to end.
Solutions
Five kinds of work. Every one already in production.
Each of these started as somebody's bottleneck. What follows is the system we put against it, and what it produces.
Customer support
Support that understands your customers.
Support volume grows with the business; headcount does not. Most of what arrives is a question somebody already answered, buried in a document or one person's head. A conversational agent trained on your own material resolves the repetitive majority in 28 languages, and hands the rest to a person with the thread already attached.
- Trained on your documents and past resolutions
- Reads and writes CRM, ticketing and order systems
- Escalates by email, WhatsApp or phone with context
- Transcripts, analytics and a full audit trail
Search & commerce
A catalog that understands people.
Search is where most catalogs lose the sale. A shopper types the way they think and keyword search returns nothing, or everything. This reads the request for what it means, resolves it into the terms your catalog uses, and matches it against live stock, variants and pricing - real products, never a plausible-sounding answer.
- Plain language turned into the right catalog query
- Variants, options, stock and pricing understood
- Real results, carried through to the cart
- Merchandising rules and exclusions you control
Autonomous agents
AI that acts, rather than answers.
Some processes are entirely rules and lookups, and a person still walks each one through by hand. An agent runs the process end to end and stops only on a genuine exception. You set the conditions under which it must not proceed; inside them it completes the work unattended, and every action it takes is written down.
- A whole workflow completed, not a single reply
- Reads and writes the systems already in place
- Escalates on exceptions you define
- Every step logged and auditable after the fact
Intelligent systems
For the problem no product on the market solves.
The problem worth solving is rarely the one an off-the-shelf tool addresses. It is the decision your team makes fifty times a day using judgement nobody wrote down, or the document nobody has time to read properly. We build the system for that problem specifically - the model, the data around it, the interface, and the guardrails that keep it inside your rules.
- Document understanding, extraction and classification
- Forecasting and anomaly detection on your own history
- Internal copilots grounded in private data
- Decision support that shows its working
Integration & data
AI fails on access, not on intelligence.
The data is in six systems, three schemas and one spreadsheet. None of it was designed to be read by a machine, and pilots stall here far more often than they stall on model quality. We do that work rather than route around it: connectors into the systems you run, a clean surface for reading and writing, and the data hygiene that decides whether any of the rest works.
- CRM - Salesforce, HubSpot, Dynamics
- Ticketing - Zendesk, Intercom, in-house desks
- Commerce - Shopify, Wix, custom catalogs
- ERP, internal APIs, databases and file stores