Onsi Labs · Calculator
Cost-to-Serve Calculator
An indicative comparison of your current assisted-servicing cost against an AI-assistant deployment, using published channel-cost benchmarks. Three inputs; adjust the assumptions to match your book.
Your book
Executive summary
Assumptions in play: contained interactions move to self-service-class cost ($1.84 per contact, scaled from Gartner's $1.84 median); the remaining 40% stay at your assisted cost of $13.50.
Test this case honestly. Below roughly 30% containment, or on books under ~50,000 lives, the economics weaken — the whitepaper's framework treats these inputs as a signal to model category by category before committing, not as a case to buy on a blended promise.
Model it properly, on your book
The four variables that determine any deployment's economics — volume and mix, containment by category, fully loaded channel costs, and the revenue side — are empirical, not assumed. Onsi helps insurers and benefit providers model them honestly, with the failure modes priced in, and deploy AI assistants within a governed, auditable framework.
Indicative only. Figures use published third-party benchmarks — Gartner's median cost per contact ($13.50 assisted, $1.84 self-service) and deployed virtual-agent containment baselines — applied to the inputs you provide. Results are not a representation about outcomes on any particular book of business, exclude platform and implementation costs, and exclude agent-productivity gains on residual contacts (peer-reviewed research indicates +14% on average). The full framework, sources and caveats are set out in the whitepaper.