AI implementation for small businesses
Built for your business.Managed with your team.
Custom AI agents.
Full business systems.
Give the work to an agent.
Get the finished work back.
An AI agent is an assistant that can use your tools to carry out a job. Operon builds yours around the way your business works, including a company knowledge base and custom software for your rules, calculations and reports.
We set it up, maintain it and improve it with your team.
“Prepare this week’s report. Update the job list and flag anything that needs my attention.”
“Your report and updated job list are ready. I’ve flagged the overdue jobs for your review.”
- Weekly report.pdf
- Updated job list.xlsx
Fictional example after setup with agreed records. Your team reviews the report before sharing.
01 / Familiar work, useful outputs
Start with the work
that fills your week.
One recurring job is enough to start. Here are a few possibilities, depending on your tools and the permissions you agree.
01
Sales follow-up
Current records. Follow-ups handled.
Your agent can update lead records, prepare the next reply and send approved types of follow-up. Unusual requests and new commitments come back to your team.
Example outputs
An updated lead list,
approved follow-ups and a list of conversations that need a
person.
02
Customer requests
Routine questions answered. Jobs ready.
Turn an incoming request into a job with the details staff need. Your agent can answer routine questions within your rules and flag missing information.
Example outputs
A prepared job record,
an approved routine reply and exceptions for staff to resolve.
03
Paperwork
Details in place. Gaps flagged.
Pull details from invoices and forms into the right spreadsheet. Your agent checks for missing information and brings uncertain entries to someone who can review them.
Example outputs
An updated spreadsheet
and a review list linked to the source documents.
04
Weekly reporting
The report finished. Issues visible.
Gather updates from agreed records, run the reporting steps and return a report with the items that need your attention.
Example outputs
A weekly report, an
updated job list and flagged overdue work, ready for your
review.
Illustrative jobs, not a package of included services. We agree the work, connections and approval points before setup.
02 / The whole system
Your business rules.
Your own software.
Your agent runs it.
Some jobs need more than a connection between apps. We can build a complete business system for gathering data, applying your rules, running complex calculations and producing finished reports.
The agent gathers permitted inputs, runs the tested software and brings the results and exceptions back to your team.
A request and the rules
Organizes and checks the work
Your agreed apps
and records
Your rules, calculations
and reports
Results and exceptions for your review
Larger custom builds and additional jobs are scoped and priced separately.
03 / Your company knowledge base
A company brain.
Smarter with time.
Keep what your business learns.
Operon builds a connected knowledge base from your agreed documents, procedures, decisions and team know-how. Your people and your agent can find the context behind the work, instead of starting from scratch each time.
As you use it, approved notes, corrections and lessons become part of that shared knowledge. We organize the connections and keep outdated guidance in check, so the next job starts with more useful context.
- People
- Customers
- Procedures
- Decisions
- Pricing
- Vendors
Gather what matters. Connect the sources you agree and organize the knowledge your team already has.
Use it in real work. Give your agent the procedures, history and business rules it needs for the job.
Keep the learning. Review new information, correct old notes and carry useful lessons into the next job.
“Smarter” means better maintained company knowledge and instructions. Your team controls what is kept and who can use it; the AI model does not automatically retrain itself.
04 / Why Operon
Capable AI tools.
Someone to make them work for you.
Claude and ChatGPT can connect to tools and do real work. You can build around them yourself. With Operon, you have someone responsible for the implementation and ongoing care.
| The work involved | If your team builds it | With Operon |
|---|---|---|
| Getting set up | Choose tools, connect records and develop the process. | We connect your tools and test the job with your team. |
| Custom software | Build and connect software for your business rules. | We build the agreed systems for your rules, calculations and reports. |
| Ongoing care | Troubleshoot, maintain connections and improve the setup. | We fix issues and test improvements based on your approved feedback. |
You bring the business knowledge.
We take on the build and upkeep.
05 / How we work
The agent first.
Then the repeatable steps.
Test the real job before turning it into a fixed process. Once the work is understood, repeat tasks can run through tested software with fewer fresh judgment calls.
-
Set up your agent
Connect the agreed tools and company knowledge, then test real jobs with your team. Define what a good result looks like.
-
Build the repeat work
Turn proven routines into fixed steps. Build larger custom systems where the job calls for them.
-
Let the agent run it
The agent runs the steps, checks results and flags exceptions. Your team handles the decisions you reserve.
Before expanding, we check the benefit on your work, including staff review and corrections.
06 / Control and ongoing care
Your team stays
in control.
You choose what the agent can read and do, which routine actions it can take, and when it needs to ask. People approve prices and commitments, review reports before sharing and handle unusual decisions.
Improvement with use and time
As your team uses the system, approved feedback becomes better instructions, a richer company knowledge base and reusable steps. Operon tests changes before wider use.
This is maintained workflow improvement, not automatic retraining of the AI model.
What does ongoing management include?
We monitor operation, fix issues and maintain the connections in your agreed scope. The proposal sets support expectations, setup and monthly costs, access and approval points. New jobs and custom builds are agreed separately.
Can routine work run on a schedule?
Yes, where agreed. Work can start when a request arrives or on a schedule, within the permissions and rules you set. Unusual decisions come back to people.
Let’s start with one job
What keeps taking
hours out of your week?
Show us how you do it today. We’ll work out what an agent could take over and what your team should keep.
Book a conversation (opens booking in a new tab)inquiries@operon-ai.io- The work and finished outputs
- Your review and approval points
- How we will check the benefit
- Setup and monthly cost
A fictional or redacted example is plenty for the first conversation.