Custom AI solutions for businesses

AI solutions built around the way your business works.

ARIA designs, builds and implements AI solutions around your business needs and the systems you already use, from carrying out tasks and workflows to processing information and following up proactively. We guide the rollout, then keep maintaining and improving the solution after launch.

You don't need a technical spec, or to know which AI tools you need. Tell us what's slowing the business down. Working out the right solution is our job.

What we can build

Examples of what a solution can look like

Every business works differently, so these are illustrations, not a fixed catalog. Depending on the need, a solution might be an AI agent that carries out tasks, a workflow automation, document and information processing, a system integration or a purpose-built tool. It can respond to incoming requests, run on a schedule or react to events.

AI agent

Handling incoming requests and acting on them

The situation
Requests arrive by email, web form and messaging apps. Someone has to read each one, find the customer and update the right system before anything moves.
What the solution could do
An agent reads each request, identifies the customer, and opens or updates the record in your CRM or order system. Where you've approved it, it sends a standard acknowledgment. Anything unusual goes to the right person with the details already gathered.
Intended outcome
Requests are handled consistently and recorded in one place, and the team's time goes to the cases that need judgment.

Workflow automation

Moving stalled tasks and workflows forward

The situation
Quotes sent without a reply, tasks waiting on a document, approvals nobody chased. Work stalls until someone remembers to check.
What the solution could do
A scheduled process reviews open items against rules you set, sends the agreed reminders, updates task status and flags the items that need a decision.
Intended outcome
Fewer things fall through the cracks, and follow-up no longer depends on one person's memory.

Document processing

Processing documents and moving information between systems

The situation
Invoices, forms and delivery notes arrive as PDFs or scans, and the same details are retyped into the accounting or management system.
What the solution could do
The solution extracts the relevant fields, checks them against existing records and enters them into the target system. Documents it can't read reliably, or that don't match, go to a review queue instead.
Intended outcome
Less retyping and fewer copy errors, with a clear place to handle exceptions.

Purpose-built tool

A tool built for one defined need

The situation
Some needs don't fit an off-the-shelf product, such as answering staff questions from internal procedures, or preparing a client file from several sources.
What the solution could do
We build a focused tool around that need: for example, an internal assistant that answers from your approved documents and shows its sources, or an application that assembles the file in the format your team uses.
Intended outcome
A tool that does one job well and fits the way your team already works.

Which systems a solution can connect to, and what it can do in them, depends on the systems you use and the access they allow. We review this early in discovery, before anything is promised.

Example workflow

What one workflow could look like

An existing customer emails an order request. The quantity is missing, and one item isn't in the price list. Here's how a solution could handle it under one set of rules.

Illustration · not a live system

Incoming email

“Hi, we'd like to order the usual items again, plus 20 of the new wall brackets. Thanks, Dana”

  1. Read the email and found Dana's company in the CRM.

    Done on its own

  2. The quantity is missing. The last order was 200 units, but that isn't treated as confirmed. A message asking Dana to confirm is ready.

    Waiting for your approval

    Draft message to the customer

    Hi Dana, thanks for your order. Before we prepare it, could you confirm the quantity (your last order was 200 units) and the delivery date you need?
  3. Opened an order draft marked “awaiting customer confirmation”.

    Done on its own

  4. The wall brackets aren't in the price list. The request was passed to the sales manager with the email and customer history attached.

    Handed to a person

These buttons only change this illustration. Nothing is sent anywhere.

The rules in this example

  • Runs on its ownReading and looking up information, internal drafts and tasks
  • Needs your approvalAnything sent to the customer or that commits the business
  • Goes to a personAnything outside the agreed rules
Why each step went where it did
  1. Looking up information doesn't change anything, so it runs on its own.
  2. This message goes to the customer, so it waits for approval. The 200 units is only a suggestion until Dana confirms it.
  3. An internal draft doesn't commit the business to anything. Quantity, price and date stay open until Dana replies.
  4. Pricing a new item is outside the agreed rules, so a person decides.

In a real project, these rules are agreed with you during discovery: what runs on its own, what needs approval, and who receives what.

How we work

Four stages, from a first conversation to ongoing care

Each stage has a clear purpose, and you decide whether to continue at each step.

  1. Introductory conversation

    We talk about the business, the need and the systems involved, and assess together whether there's a good fit.

  2. Discovery and specification

    We map the need, the workflow and the systems, and define scope, permissions and the desired outcome.

  3. Build, integration and rollout

    We build the solution, connect it to the agreed systems, test it and introduce it to the people who'll use it.

  4. Maintenance and improvement

    We keep the solution working, fix issues and make improvements within an agreed monthly scope.

A project, then monthly maintenance. Discovery, specification and implementation, priced according to the scope defined in discovery. Monitoring, troubleshooting, adjustments and improvements within an agreed scope, for a monthly fee.

More about how we work and pricing

Who's behind ARIA

A systems background, applied to AI

ARIA was founded by Mor Ohayon, who has extensive experience in infrastructure and systems, and in recent years has been building SaaS products and software systems with AI.

That background shapes how ARIA works. A solution is only useful if it fits into the systems you already run, behaves predictably and keeps being looked after. Mor leads each engagement from the first conversation through delivery and ongoing maintenance.

Mor OhayonFounder, ARIA

  • Systems firstInfrastructure and integration experience, so the solution fits the systems you already use.
  • Practical deliveryBuilt, tested and introduced into everyday work, not left as a prototype.
  • Ongoing ownershipThe solution keeps being maintained and improved after launch.

FAQ

Common questions

Do we need to know exactly what we want to build?

No. Come with the problem: something that takes too long, keeps getting missed or depends on one person. Working out the right solution is part of discovery.

Can the solution work with our existing systems?

Often, but it depends on the systems themselves: whether they offer an API, exports or other access, and which permissions are available. We review this early, before a scope is agreed, and tell you plainly what's possible.

What can run independently, and what requires approval?

You decide, and we define it together during discovery. A common setup: reading information and internal updates run on their own, anything sent to customers or that commits the business waits for approval, and cases outside the rules go to a person. The rules can be adjusted over time.

What does ongoing maintenance include?

Making sure the solution keeps working, fixing issues, adapting to changes in your systems, and agreed improvements, all within the scope of the maintenance agreement. New solutions or significant new features are scoped and priced separately.

How do we start, and how is the project scope determined?

With a short conversation about the business and the need. If there's a fit, we move on to discovery, where we map the workflow and systems and define the scope, permissions and desired outcome in writing. The project is priced based on that scope.

Let's talk

Tell us what you'd like to improve in your business

A short conversation about your business and what's slowing it down. No preparation or technical knowledge needed. If AI isn't the right answer, we'll tell you.

Want to see a solution in action? Mention it in your message, and where we have a relevant example, we'll be happy to show it.

We'll use these details only to get back to you.