A digital assistant next to the person
Suggests, finds, explains and prepares a draft right in the employee's interface. The person makes the decision.
Digital employees
inside the system
you already run
We place assistants and employees right inside your CRM, ERP or website. They work through your API and under the permissions of whoever opened them. No rewrite of your system.
Discuss your project
Our agents work in a customer's production system every day
The model proposes.
Code checks and executes.
The decision stays with a person.
Sound familiar
Routine eats whole positions, and nobody will let you replace the system
- People drown in requests, reports and summaries. It takes the hours they need for customers.
- Years and money are already invested in your corporate system. It cannot be replaced, and nobody wants to.
- Integrators offer system enhancements at prices that never pay back.
- A chatbot in a separate window cannot see your data and cannot do anything in your system.
Solution
We do not replace your system. We add employees to it
One line in your HTML, and the agent panel appears over your interface. No separate portal, and no copy of your data on our side.
A digital employee works on its own
On a schedule or on an event it compiles a digest, sweeps the data and prepares a report. Nobody needs to be present.
One agent or a hundred is one integration
The core is the same. A new profession is added as a set of skills, not as a separate project.
Sees exactly what this employee sees
The agent works under the user's permissions. We hold no separate privileges in your system.
How we implement
Three stages from the first call to live employees in your system
- Stage 1
We study your system
We look at the API, the processes and the bottlenecks. Together we choose which area to automate first.
- Stage 2
We write the adapter and embed it
The core is the same everywhere. The adapter for your functions, identifiers and data is written for each customer. The agents start working in your interface.
- Stage 3
We hand over and support
We train your team to manage the agents. We stay in touch and add professions as you grow.
Staff list
Meet some of the people you are hiring
Here are five of them, to say hello. There are many more on staff, and new professions are assembled from the same skills for your processes.
Intake agent
- accepts incoming requests
- creates tickets
- passes them on without loss
I do not decide what to do with a request. I make sure it is not lost.
staff no. 014Hired
Request administrator
- triages requests
- assigns them to the right people
- makes sure nothing is lost
If a specialist is overloaded, I will not hand them another request.
staff no. 027Hired
Estimator
- calculates estimates against standards
- checks work volumes
- never skips a line item
If there is no standard, I will say so.
staff no. 031Hired
Procurement agent
- finds the price of a material
- compares it with the market
- flags a suspicious price
I do not confirm a price unless I found it at a supplier.
staff no. 043Hired
Slyder
- works right on the page you are looking at
- shows where to find the answer
- records what happens on screen
I do not press buttons for you. I show you where to look.
staff no. 058Hired
Your profession
vacancyThe employee you need is not on the list? Describe the job, and we will assemble one from the core skills for your processes.
Reliability
What happens if the agent makes a mistake
We build agents so that a mistake is visible at once and an invention cannot get into your system.
The model proposes, code executes
Decisions are made by programmatic rules, not by the wording of a neural network.
It cannot cite what does not exist
Numbers and fields are checked against your actual data. An invented line item will not pass the check.
When it does not know, it says so
The agent refuses instead of making a plausible guess, including when our own configuration gets in the way.
Every decision is recorded
You can see what was taken, from where and by which rule. Any step can be reviewed.
Questions
What people usually ask before the first call
Will we have to change our system?
No. The agent connects through your API and appears over your interface with one line of HTML. The code of your system stays as it is.
Which of our data will the agent see?
Exactly what the employee who opened it sees. The agent works under the user's permissions; we hold no privileges of our own in your system.
What if the agent gives a wrong answer?
Numbers, fields and amounts are checked by code against your data, not taken on the model's word. If the answer is not in the data, the agent says it does not know. Every decision is recorded with its basis.
How much does the integration cost?
We name the price after studying your system: it depends on your API and the number of areas. Compare it with the development work that would otherwise sit in the plan for six months.
How long does the launch take?
We name the timeline after the review too. The core is ready; the work is the adapter for your application, so we start with one area and grow from there.
How many agents can we connect?
From one to a hundred. The core is shared and a new profession is a set of skills, so the second and the tenth agent cost less than the first.
Do we need our own developer?
No. We write the adapter. Your team needs to learn to manage the agents, and we teach that in the third stage.
Does the agent press buttons in the system by itself?
The assistant suggests and prepares; a person decides. The employee does work on its own only where you allowed it, and only with its own permissions.
We start with one area. You pay after it is working.
Discuss your project
First step
Tell us where most of your hours go
We reply within one business day and offer a review of your system. The review commits you to nothing.