Systems in production, stories from the field.
How engagements unfold: the problem, the approach, and what shipped.
From unscheduled lead to paid invoice in days — not weeks.
Terrafusion built Hybrid Asset Solutions a full end-to-end data platform: backbone data engineering plus an agent orchestration harness that automates the back office across the entire lifecycle of a field job.
Key Outcomes
Lead to paid invoice in days
An unscheduled job lead now runs to invoice and payment in days — a cycle that used to take weeks.
30 people redeployed
Back-office OPEX is stabilised: the same team now supervises, labels, and handles front-office customer work — growth without added headcount.
Larger contracts supported
High-priority opportunities and quotes are orchestrated automatically, for clients including Grainger and Graystar.
The Challenge
Hybrid Asset Solutions runs field operations across electrical and plumbing work — and the business was fragmented. Every job moved through the back office by hand: invoices raised and reconciled manually, engineers scheduled by phone and spreadsheet, job reports unread unless someone had time, quotes assembled late enough to cost work. The same job lived in half a dozen places, and nowhere at once.
Thirty people were absorbed by that manual processing, and the lead-to-invoice cycle stretched to weeks. Underneath it all, there was no shared model of the business — no agreed definition of a job, a site, an engineer, or a status — so every system and every team described the work differently. Growth meant hiring more administrators, and the back office became the ceiling on the business.
The Approach
Zero to one: a multi-agent platform for conversational commerce.
Terrafusion built Rezolve AI's multi-agent platform for conversational commerce — voice, image, and text — from search backbone to voice models to agent memory. Two years in, it runs in production for merchants from Harrods to M&S.
Key Outcomes
Merchants live across industries
Products in production for merchants from Harrods to M&S — the same backbone, redeployed each time.
State-of-the-art voice models
Best-in-class half- and full-duplex voice, fine-tuned for commerce on Microsoft infrastructure — with co-authored research papers on voice.
Zero to one, then scale
POCs became signed clients and live deployments; Rezolve is Nasdaq-listed and becoming the market leader in its space.
The Challenge
Rezolve AI set out to let shoppers search, discover, and buy through natural conversation — voice, image, and text. That takes semantic search across real inventory, agents that remember context across sessions, and voice that feels human.
Off-the-shelf tools fell short: agents forgot context, voice was rigid, and every merchant deployment risked becoming bespoke. To scale, the platform had to be one backbone — configured per merchant, deployed across industries.