Your company’s own AI
Hire Sabina as your company’s own AI. Give her the phone and recurring work your team needs help carrying.
In her own words
This recorded introduction illustrates the role and authority design. The payment example is not a live demonstration; supported work is confirmed for your company before hiring.
Hi, I’m Sabina. I work a little differently from most AI systems. Think of me like ChatGPT, but built around your company. You teach me how your business works, give me responsibilities, and decide what I’m allowed to handle. My first job? Helping your company keep its word. The callback someone promised. The quote that needs to go out. All the work between “we’ll do it” and “it’s done.” That’s the middle. With the access you approve, I help keep track of what was promised, who owns it, and what needs to happen next. But useful and authorized aren’t the same thing. I can prepare the payment. Approve it without QuickBooks authority? No. And no, I can’t promote myself. That would rather defeat the point. Give me a little time with your company—and let your team teach me—and something more interesting starts to happen. I become your company’s own AI. Connecting conversations, decisions, customers, and outcomes. Helping your team understand what happened, what may be changing, and what deserves attention next. Owning the middle is where we start. Then you decide what comes next.
The problem
Every one of them was a customer expecting something.
One promise
An illustrated example of a proposal promise, a changed requirement and an authorized internal follow-up.
What carries forward: the changed requirement and the person who owns the follow-up, ready for the next conversation with that customer.
This animated example explains a workflow. It is not a recording of product execution, a customer testimonial or a measured customer result. Its time illustration assumes ten people, one hour of routine coordination per person per workday, five workdays per week and an 80% net reduction. The remaining 20% covers edge cases and review. Workday comparisons use eight hours per staff workday.
See the financial assumptions · See the examples and assumptions
A customer is waiting for a revised proposal. The promise was made. The work still has to get done. Let’s look at Harbor Service, a fictional company. Alex promises Morgan a revised service proposal by Friday at four. Then Morgan asks to add weekend support. The deadline hasn’t moved. But the work has changed. I keep the promise, the owner, the deadline, and the original email together. A teammate can see what’s owed, and why. An internal follow-up reminds Alex about the proposal and Morgan’s change. The responsibility stays open until there’s evidence it was kept. That’s follow-through inside the permissions you give me. Now, suppose Harbor has ten people, and each spends an hour a day keeping track of work and chasing updates. If I take on eighty percent of that effort, leaving the rest for edge cases and review, that gives each person four hours back a week. About seventeen hours a month per person. More than two full workdays each. Across ten people, it's more than 20 workdays freed up in total. Imagine putting that time into quotes that have been waiting, customers who deserve a little more attention, or the work your best people never seem to get to. The same people, with more time to do the work you hired them for. I’m your company’s own AI. You teach me the work and define my authority. Knowing isn’t permission. Owning the middle is where we start. What could your team do with that time back? Then you decide what comes next. Start your assessment at Hire Sabina dot A I slash evaluate.
Her role
Foundry configures, deploys, and operates Sabina for your company. Your team teaches her the business and decides what she may handle.
Her first responsibility can be the work between a promise and getting it done; keeping a customer promise is one responsibility, not the limit of the role.
Discuss the recurring work you need help carrying
We review which of those responsibilities are supported for your company before defining her job.
Start with recurring work your team needs help carrying.
the sources she can use
the actions she can take
the decisions that stay with you
The agreed scope identifies the capabilities and connections enabled for your company.
Fit
Customers ask for things. Work passes between people. Someone needs to follow up, and the owner becomes the backup memory.
That pattern can exist in a contractor, property manager, professional firm or service business. The starting question is what recurring responsibility your company needs help carrying.
Business types that may fit
Business types that may fit
Trades and installation
Business types that may fit
Recurring field service
Business types that may fit
Property operations
Business types that may fit
Professional services
Business types that may fit
Insurance and staffing
Business types that may fit
Technology services
Business types that may fit
Other coordinated operations
Business types that may fit
Administrative practice work
What we review
Industry is a starting point, not a guarantee of fit. We review workflow volume, team handoffs, system access, decision authority and the financial case for the actual role. Professional decisions remain with the appropriately authorized people.
Independent research
Researchers have measured benefits from AI assistance in specific kinds of work. These studies did not evaluate Sabina and do not predict the results for your business.
Customer-support work
15%
more issues resolved per hour, on average.
Human agents using AI assistance—not autonomous replacement of the team.
In a study covering 5,172 customer-support agents, access to AI assistance increased average issues resolved per hour by 15%. Results varied across workers; less-experienced workers benefited more.
Brynjolfsson, Li and Raymond, Generative AI at Work, author manuscript revised November 2024.
Professional-writing tasks
40%
less time on assigned writing tasks.
Bounded writing assignments—not a measure of company-wide productivity, factual accuracy or payroll savings.
In an experiment involving 453 college-educated professionals, AI assistance reduced time on the assigned writing tasks by 40% and improved assessed output quality by 18%.
Noy and Zhang, Experimental evidence on the productivity effects of generative artificial intelligence, Science, 2023.
Read the study (opens in a new tab) · Read MIT’s summary (opens in a new tab)
Independent research on other AI systems. Not Sabina performance claims, customer testimonials, endorsements or savings guarantees.
Authority
Sabina captures what your company commits to, and acts only within the authority you give her.
The gate, walked through
A caller asks for a discount.
Inside a grant that lets her act, she acts, and the record names the grant.
Inside a grant that requires a yes, she proposes the specific act and waits.
Outside each grant she holds, it comes back to you as a question — not as an action taken on a guess.
Give authority · a grant, as written
Sabina — from today you may move an appointment to another day in the same week without asking me, if the customer asks for it. Anything that moves a job to a different week, ask me first. Don’t promise a crew size. — M.
Take it back · its revocation, three weeks later
Sabina — until further notice, ask me before moving any appointment, same week or not. — M.
Illustrative instructions requesting a bounded grant and its revocation. They do not activate authority by appearing here or by being sent without ratification.
Six treatments · granted against one capability at a time
She observes and records the ground truth. She does not compose or act.
She drafts. Nothing leaves without a person sending it.
She proposes a specific action and waits for a yes on that act.
She acts inside a boundary you wrote, and outside it she stops.
The result is hers to deliver, and the record shows how she delivered it.
She directs the sequencing of work across people and steps.
These are not ranks and there is no order to them. Nothing she does earns her a promotion. Authority moves when you move it, and only when you move it.
These are the authority treatments we use to define a role, not a claim that every treatment is enabled for every capability.
What stays as it is
You don’t have to replace your phone system.
You don’t have to give a vendor API access to your mailboxes.
Human-to-human calls are not recorded. She reads the metadata, not the conversation.
Nothing goes on your computers or your phones.
Sabina runs on a core model trained and operated by Foundry. Our proprietary memory and teaching systems shape that foundation around your company, while your permissions define what she may do. You do not need to buy AI hardware for the office or build an AI department. Foundry operates the system behind Sabina. Read how your information is handled.
What compounds
Useful company knowledge carries forward. What your team teaches Sabina, the corrections it makes, and the context gathered through authorized work can inform the next conversation, handoff, and responsibility.
What your team teaches Sabina
the corrections it makes
the context gathered through authorized work
the next conversation, handoff, and responsibility
Sabina’s understanding of the company can grow. Her authority continues to come from the permissions the company grants.
Founding seats
One seat signed. Two more spoken for. Seven of ten unclaimed
The founding rate is locked for as long as you hold the seat, and arrives in writing with the offer. The shape of the exchange.