Outcomes over optics. Measured in production, not demos.
We track success in time and cost saved, not benchmark scores.
Measured reductions vs. pre-AI baseline
Source: Accelara production metrics, 2026. Measured across Benchwise, HirePro, Resly and DocBridge deployments.
Cost per ticket
$6.50 → $2.40
Support ticket volume dropped 52%. Customers get help any time, day or night.
ROI over benchmarks
Every number above comes from a live deployment, with a human in the loop where the work needs one. Production systems over polished demos.
A multi-vertical home-services business was handling inbound demand through Meta ads, WhatsApp, Instagram, Messenger, manual chat, a booking tool, and manual field coordination. Demand arrived in conversations and stalled in follow-up: slow replies, inconsistent qualification, and no single view of what was booked, paid, or assigned.
Accelara is replacing that with an AI concierge and operations platform: from customer inquiry to booking, payment, admin visibility, field coordination, and dispatch support. Our engineers work embedded with the client's team. Concierge and booking ship first. The operations layer follows, with each stage proven in production before the next is built.
Metrics we're instrumenting
Our longest-running work is with law firms across the US, UAE, and Thailand. Client names stay private. These are cited, human-reviewed systems for work where precision and proof matter more than a name on a slide.
See AI for lawRegion
United States
Region
United Arab Emirates
Region
Thailand
These platforms keep our delivery patterns proven in live use: retrieval, citations, intake, ranking, and handoff.
Consumer intelligence. Plain-English answers, document review, and cited sources.
Visit BenchwiseRecruitment intelligence. Ranked shortlists with the reasons attached.
Visit HireProCommunication platform. Docs-grounded support, structured intake, and clean human handoff.
Visit ReslyDocument intelligence. Cited answers across thousands of documents in seconds.
Visit DocBridge

Global AI work
Worked with UN agency UNITAR, telecom operators in Africa, and law firms in Asia
Pick one painful workflow. We'll map what it would take to build it, prove it in production, and decide whether it's worth scaling.