solutions
Convoship works wherever a team has already mapped the conversation — on a whiteboard, in a runbook, or in a bot you already run. Sketch it or migrate it; the same path serves regulated industries and consumer-grade self-service.
Banking
Capture KYC, qualify loan applications, and answer balance / transaction questions. Decision diamonds gate credit checks; service calls reach core banking APIs through HTTP nodes with encrypted secrets, retries, and JSONPath output mapping.
Retail
Pull live order data from your OMS, surface return windows, and route shoppers to PDPs that actually match what they described. Knowledge collections cover policies; intents cover transactional tasks.
Healthcare
Run pre-visit triage flows, book or reschedule appointments through EHR APIs, and explain benefits without exposing PHI to the LLM. Guardrails restrict outputs to approved language; secrets stay vaulted.
Hospitality
Take bookings, recommend room upgrades, and answer property questions across web, voice, and WhatsApp from the same agent. Localized copy per intent; analytics expose conversion by funnel step.
Customer support
Resolve top-N FAQs with knowledge collections, run intent-driven self-service for the next tier, then hand off to a human with full session context. Workflow chains coordinate AI Agent reasoning with scripted intake.
IT helpdesk
Categorize incoming tickets, walk users through known runbook fixes, and open a ticket in your ITSM with the full diagnosis when the bot can't resolve it. Tools call Jira / ServiceNow / Zendesk under workspace secrets.
built for the CX scorecard
Every conversation rolls up into the metrics a support leader is judged on. Not vanity charts: resolution, satisfaction, handle time, and dollars saved — each trended against the prior period, on every agent.
Resolution rate
Resolved without a human
True containment — conversations that never escalated to a person.
CSAT
👍 / 👎 after the chat
Customer-reported satisfaction across rated conversations.
Avg handle time
Minutes per conversation
How long a customer spends to reach a resolution.
Cost-per-contact saved
Deflected × your cost
Set your blended cost-per-contact; watch deflection turn into dollars.
why we built convoship
Every team we talked to was paying for a conversational bot they'd outgrown — a rigid, forgetful build from years ago that was seemingly impossible to leave. (The rest had the flow mapped on a whiteboard and never shipped it.) Convoship exists to close that gap: the bot you already run becomes a reasoning, remembering AI Agent in an afternoon, not a quarter — and you finally get off the platform you've outgrown.
Fayaz · Founder, Convoship
We don't ask a model to invent your conversation. A real parser does the structural work; the model only does the part models are actually good at. That's why imports are cheap, fast, and repeatable.
Every number on this page — latency, cost per import, node F1 — comes from our eval harness and CI gates, not a pitch deck. If a metric isn't measured, we don't claim it.
Workspace isolation, MFA, audit logging, and encrypted secrets aren't a future enterprise tier. They're in every workspace, because we'd want them before trusting a vendor too.
✣ migrate any bot -> AI agent
See your own bot's export become a production AI agent in a single working session — reasoning, cross-session memory, and a drop-off heatmap included.