Are you still paying people to stitch your applications together?
Your people are the integration layer. We connect the applications you already run to one AI working relationship, so information moves between systems and your people stop carrying it.
Your people are the glue
Every day they log in to each application, twist the knobs, turn the levers, and carry information from one system to the next by hand.
Look it up
Find the record, the part or the document in one system.
Carry it over
Re-enter it, or act on it, in the next system.
Report it up
Rebuild it again so leadership can see where things stand.
Nobody needs to be told they are doing it wrong
After every call: open the CRM, update the stage, log the notes, move the close date, check the email thread, rebuild the forecast.
Several applications. A lot of clicks. Real minutes, every call, every seller, every week.
One request to AI. The same records update across the same applications.
The seller reviews and approves. The time goes back to the customer.
The applications your people live in
Most businesses run on the same core. We start with the applications that already expose their data to AI, the ones with open APIs and ready connectors, and connect them to one governed working relationship.
Time back, and the same message in every interaction
Time back
Every hour spent twisting the knobs in the CRM is an hour not spent in front of a customer. Take the glue work off their plate and the selling time comes back.
Consistency at scale
You cannot script every seller on every call. You can build the messaging once and carry it accurately into every touch your team makes.
Three stages of AI in the business
AI accessible
Staff paste business information into AI tools on their own to keep up. No one decided it, and nothing governs it.
AI enabled
The applications you already run are connected to a frontier AI model, with governance. People stop being the glue.
AI native
The business runs on an AI-native platform it owns. Best fit for simpler stacks.
Governed, on record, and watched
AIRA powered by Fluency Alliance
Discover managed and unmanaged AI use, classify and mask what is sent, and block what should not leave, with an audit trail of every override.
On record from day one
An inventory of AI in use, the identity behind every agent action, and human approval gates before anything changes a record.
The estate stays watched
Activity is correlated across the estate, not just the endpoint, including the new connections AI creates.
A manufacturer of about 100 people
Roughly ten of them sit at the center, carrying each customer issue between three systems by hand. The engagement connects the three, so those ten people are handed a proposed resolution instead of assembling one.
Engagement in progress
ERP
Parts and engineering
Document library
Engineering documents
Service desk
Tickets and customer satisfaction
Watch how I run my own pipeline
This is not a case study. It is the operation you would see on a screen share: research, outreach, pipeline and content, run through Claude and purpose-built agents.
Name your applications
List the systems your team works in every day.
Find the glue work
Mark where people carry information between them by hand.
Price it
Put a number on that work, built with you from your own stack, and decide whether it is worth removing.
Show us how your team uses AI today.
Thirty minutes. Bring the list of applications your people live in.