Most companies have already bought AI. What they don’t have is AI that can reach the systems where the work actually happens. We build the layer that connects them.
Each one solved a slice. None of them talked to your CRM, your claims system, or your billing platform, so every conversation still ended with a person looking something up.
That's not an AI problem. It's a connection problem.
The average enterprise runs more than 473 applications and actively uses about 45% of them. Fragmented tooling is the single biggest reason AI pilots never reach production.
Productiv and IBM
Why connected changes the economics
The gains don’t come from a smarter model. They come from the model being able to reach the record.
80%
By 2029, agentic AI will autonomously resolve 80% of common customer service issues, but only when it is connected to the business rather than bolted on.
ACUVI sits across CRM, billing, scheduling, claims, ticketing and knowledge, so a single conversation can span your whole business. A customer asks one question, the agent pulls from four systems, answers on the first try, then updates the record when it is done.
That is the difference between a bot that deflects and an agent that resolves.
CRM
Salesforce, HubSpot
Billing
Invoices, payments
Scheduling
Calendars, intake
Claims
Policy and exposure data
Ticketing
Events, support
Knowledge
Docs, policies
Four products, one platform
They share the same connections, the same data and the same agent layer, so what one learns the others can use.
InsightIQ
Your company’s knowledge, searchable and secure. Private AI trained on your own documents.
Three engagements, three different systems of record, one platform underneath.
Healthcare
No-shows down, schedules fuller
Welcome calls and pre-visit intake run against the practice management system, so clinicians walk into every appointment with the information already collected.
Insurance
Reserving that keeps pace with claims
Fragmented policy, claims and exposure data pulled into one model, turning a quarterly reconciliation exercise into a live view of portfolio accuracy.
Live entertainment
Ticketing data that answers back
Ticketing, seating, concessions and fan behaviour joined into one layer, so operators ask a question in plain English instead of reading four dashboards.
Before anyone talks about deployment, we map where your data lives, which workflows are actually automatable and what the return looks like. You keep the findings whether or not you work with us.
Week one, data mapping
Where your records live and what talks to what today.
Week two, workflow audit
Which processes are automatable now and which are not.
The findings
A return model with the numbers behind it, yours to keep.
Why moving from decision trees to connected agents changes what calling a company feels like.
7 min read
Tell us what's breaking. We'll tell you if AI is the answer
Some of what you are dealing with is not an AI problem, and we will say so. If it is, you will know what it takes to fix it before you commit to anything.