Use cases that we build
Eight workflows where an agent takes the volume and your team keeps the judgment calls.
Intake and triage
Reads inbound requests, tickets, applications, and documents, then classifies, prioritizes, and routes them, sending low-confidence cases to a person.
Back-office reconciliation
Matches records across systems and surfaces the exceptions for review.
Support automation
Answers first-line questions from your documentation and support history, and hands the rest to an agent with the full context attached.
Reporting and monitoring
Assembles, checks, and distributes recurring reports, and identifies the anomalies inside them.
Sales and revenue operations
Enriches and qualifies leads, keeps CRM records current, drafts proposals, and turns meeting notes into records.
Recruiting operations
Screens applications, summarizes candidates, schedules interviews, and updates the pipeline.
Document workflows
Extracts, validates, and files data from contracts, invoices, forms, and statements.
Multi-step orchestration
Uses several tools and systems in sequence to complete a task from the first step to the last, inside boundaries you define.
No agent takes the volume until its accuracy is known
Map
Map the process as it actually runs, exceptions included.
Set the boundaries
What the agent can do, what it must ask about, and what it cannot touch.
Run it in parallel
Run it in parallel and measure it against the person until the accuracy is known.
Then it takes the volume, and the person handles the exceptions.
What we build for clients, we run on ourselves first
An AI-native product agency
170+ applications delivered for clients across North America, Europe, and LATAM, with a team of 95+ engineers, designers, and product people.
We run agents on our own operations
Sales, marketing, recruiting, reporting, and internal knowledge. What we build for clients comes out of a practice we operate.
Agents run on integrations, and we build those too
Connecting to your CRM, ERP, ticketing system, or data warehouse is engineering work, and it happens inside the same team that builds the agent.
Name the process
The one that eats a day a week and nobody wants to own. We will tell you whether an agent handles it and what it would take.
Ready to Start Your Journey?
I would love to talk to you about your project or needs.
Fill in the form or send us an email to hello@somniosoftware.com
Got an idea? We’ve got the skills.
Fill out our contact form and we’ll get in touch!
Schedule a call
Feel free to select a time at your convenience!
Questions worth asking
Still have some doubts?
No worries, here are some frequently asked questions that may help you.
An AI agent is software that reads information, decides what to do and acts inside the systems you already use. Instead of only answering a question, it completes a task, such as classifying and routing an inbound request or matching records across systems, inside boundaries you define.
Traditional automation follows fixed rules: if this happens, do that. An agent handles work where the input varies, such as free-text requests or documents in different formats, by reading and deciding before it acts. When its confidence is low, it sends the case to a person.
RPA repeats the same clicks and keystrokes on a fixed screen, and it breaks when the layout or the input changes. An agent works from the content itself, so it can handle variation and exceptions, and it connects to your systems through integrations rather than by imitating a user.
The ones with volume and a repeatable shape: intake and triage, reconciliation, first-line support, recurring reports. A good first candidate is the process that takes a day a week and nobody wants to own, because the result is easy to measure.
Yes. Agents run on integrations with your CRM, ERP, ticketing system or data warehouse. That is engineering work, and it happens inside the same team that builds the agent.
Before an agent takes any volume, we run it in parallel with the person who does the work today and compare the results until its accuracy is known. After that the agent takes the volume, the person handles the exceptions, and you can measure the outcome against the process as it ran before.