Meet steffi.ai

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Give Steffi the repetitive work between your systems

Steffi is a digital worker for defined, multi-step jobs. It can read an inbox, update a CRM, process documents, work in browser portals, and send exceptions to a person.

Your team decides what Steffi can access, what it may spend, and which decisions need approval. Every action is recorded.

Start with one workflow on our managed service. Self-host when your policy, scale, or compliance requirements call for it.

How a first workflow works

Give Steffi one defined job

Choose a repeated process with a clear start, finish, and owner.

Set its access and approval rules

Decide which systems it can use, what it may spend, and when a person must approve.

See what happened

Review every action, result, exception, and approval in one audit trail.

A first workflow can be as simple as reading one inbox, updating one system, and asking a person to handle exceptions.

Customer feedback

What customers say about our automation software

“At GC Transportation, our dispatchers and managers rely on dozens of different portals to track trucks, manage rides, and handle operations. Deploying Owl Browser across our enterprise was a game-changer. It securely integrates with our internal tools to automate repetitive tasks like invoicing, driver billing, and logistics routing. Owl Browser gave us our time back.”
DarieceCEO, GC Transport Inc· Owl Browser
“Managing the backend of LaFrique Market used to require constant tab-switching between our website dashboard, vendor portals, and accounting software. With Owl Browser, we've automated the entire retail lifecycle. From the moment a customer places an order, Owl instantly processes the invoice, updates our stock levels, and even alerts our vendors. It has completely streamlined our daily operations.”
IbrahimCEO, LaFrique Market· Owl Browser

How an Olib AI engagement starts

One problem in. One practical next step out.

You show us the work that is slow, fragile, or expensive. We identify the smallest useful next step and explain what it would take.

01

Show us the work as it happens

We start with the people, tools, handoffs, exceptions, and result involved. You do not need to diagnose the technology.

02

Choose the right path

We recommend a ready-made product, an app review, a custom build, or a simpler fix outside our services.

03

Prove it against real work

We agree on what success means, test with representative work, and show where the result meets or misses the target.

04

Know what you own and what happens next

Before paid work begins, we define the deliverables, access, ownership, deployment, support, timing, and price.

No sensitive records, passwords, or source code are needed for the first conversation.

Governance, ethics, and sustainability

Built to strengthen people and sustain the work

Governance, ethics, and sustainability are design requirements, not policies added at the end. They shape who stays in control, where the intelligence runs, what the system records, and how the technology affects people and resources.

Governance

Human control is part of the system

Before production, we define access, approval points, spending limits, audit records, data boundaries, and the compliance requirements for the work.

Ethics

Remove the drudge work, not the people

We automate repeated computer work so people can focus on judgment, relationships, and decisions. When the work has consequences for people, a person remains accountable and in control.

Sustainability

Put intelligence closer to the work

When the job allows, models run on phones and servers already in use. This can lower recurring cloud fees and reduce the data transfer and data-center computing the work requires, while keeping more data local.

We build to sustain the people doing the work, the operation they depend on, and the resources behind it.

Who we are

Business experience meets hands-on engineering

Olib AI is founder-led. The people who learn how your operation works also make the business and technical decisions.

Tyonna M.

Tyonna M.

Co-Founder & CEO

Akram H. S.

Akram H. S.

Founder & CTO

Experience behind the work

13 years

13 years inside a global financial institution

Tyonna spent 13 years at JPMorgan, including serving as a Vice President in Asset Management. She knows how real teams, controls, and high-stakes operations work.

14 years

14 years building software from the first line of code

Akram has spent 14 years as a hands-on programmer, building products and systems from scratch. He leads the technical work instead of passing it down a chain.

You get direct access to the people making the business and technical decisions.

Meet the full team

Questions

Frequently asked questions

Is Olib AI private and secure?

We design around the sensitivity of the work. Depending on the product or project, that can include local processing, encrypted credentials, access limits, audit records, or deployment inside infrastructure you control. We explain the actual controls for your setup instead of making a blanket security promise.

Can I self-host or own Olib AI's software?

Self-hosting is available for Owl Browser and steffi.ai. Ownership and handover terms for custom builds are agreed before work begins, including where the system runs, what your team receives, and what support remains after launch.

What happens in an Olib AI app review?

Olib AI checks the code, database, cloud setup, security, and AI spending. You get a plain-language list of what is dangerous now, what can wait, and what can be fixed without starting over.

How much does Olib AI cost?

steffi.ai has usage-based pricing starting at $5 per hour, with flat-rate monthly plans and a self-hosted option for high-compliance environments. Custom builds and app reviews are scoped around the work, risk, and delivery requirements. A free 30-minute founder call is the fastest way to determine fit and the next step before either side commits.

Bring us one problem worth fixing

Show us one repeated task, broken workflow, or growth risk. In 30 minutes, a founder will help you define the next practical step and tell you honestly whether Olib AI should be involved.