Industry
Industrial & Scientific Distribution
A catalogue of hundreds of items, a phone that rings while everyone is on the floor, and customers who want an answer now. We build front desks that know the catalogue and book the appointment, on the phone and on the site.
The problems we solve
- Calls missed during the working day
- Catalogue questions answered differently by every person
- Appointments booked by email tag
- Website chat that cannot see the inventory
Client stories
Industrial & Scientific Distribution
The right box for every shipment
A tablet app on the packing bench that tells each worker which boxes to use for an order. It replaced guesswork that lived in a few heads, and it has run every day since.
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Industrial & Scientific Distribution
Five thousand qualified leads, researched by a system
A platform that finds potential customers, researches each one, ranks them by fit and drops them into the sales team's own CRM with the useful details already filled in.
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Industrial & Scientific Distribution
A front desk that answers every call and knows the catalogue
A phone agent that rings the owner first and answers when nobody can, and a website assistant that shares the same brain, the same catalogue and the same booking tool.
Read the storyRelated insights
Article · Voice & conversational AI
Voice agents at the front desk: latency, interruption, and knowing when to hand off
A phone agent is judged in the first two seconds. What makes one usable is not the model's vocabulary but the plumbing: no transcoding, interruption that works, a person rung first, and one brain shared with the website so the answers match.
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Article · Evaluation & assurance
Measuring a grounded assistant: context recall and faithfulness
"Does it make things up?" is the only question a business owner asks about an assistant built on their own content. It has a numeric answer, and the number should be on the dashboard before the assistant is on the phone.
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Perspective · Strategy
The AI roadmap for a forty-person company
Most AI advice is written for companies with a data team. For an operator with forty people, the roadmap is shorter and more concrete: find the workflow that eats the most hours, build one system that gives them back, measure it, and only then talk about transformation.
Read the perspectiveTalk to someone who has built it
We will show you a system running in your industry before we propose one.