We advise and build systems, integrations and AI agents for companies that outgrew spreadsheets.
AIMOps pairs advisory with delivery. We design the architecture, write the code and maintain what we ship: web applications, integrations between systems, and AI agents working on your own data.
- TypeScript
- Next.js
- React
- Python
- LangGraph
- OpenAI API
- Make
- n8n
- Invoice
- CRM enquiry
- Read the data
- Query the system
- Take the action
- Record in the system
- Reply to the client
- Event log
What we delivered, and what the clients said about it. Names stay private, the industry does not.
AIMOps automated our document intake and initial client inquiry screening. What used to take hours now runs quietly in the background. Aleksander understood the specifics of legal workflows from day one, so we didn't have to explain everything from scratch.Since working with AIMOps, correspondence handling and client inquiries run almost entirely on autopilot. Our team saves several hours a week, and clients get responses far faster than before.AIMOps helped us automate our startup application process, from intake to initial screening. The time saved has been substantial, and screening quality hasn't dropped one bit.AIMOps automated our lease inquiry handling and initial tenant qualification. The system runs 24/7, freeing our team to focus on closing deals instead of answering the same questions over and over.AIMOps built us automated class reminders and membership renewal notifications. Attendance is up and our admin workload is down. Practical, results-driven support from start to finish.Consulting and engineering in one place.
AIMOps came out of practice, not a deck. We start with one process and widen the scope once the previous step has paid for itself.
We start with a diagnosis: what data you hold, where it disagrees, and which processes only look necessary. The output is an architecture, not a shopping list of tools.
We deliver what we design: applications in TypeScript and Next.js, integrations over APIs, and agents built on language models. Nothing gets handed off.
Entrepreneur and engineer. Runs operations for a commercial property portfolio and builds the systems AIMOps ships. Knows what a process handled by hand across a large team looks like, and what breaks in it once software takes over.
- 200+ commercial tenants under management
- 30+ people in the operations team
- GEO audits for clients across Poland
From architecture to production.
Six areas, one shape in each: diagnose, design, build, maintain.
Starting prices, stated up front.
Every engagement is quoted after we agree the scope. These are the floors, so you know where the conversation starts.
AI agents
from $750- Single-task agent, one data source
- $750
- Multi-step agent, LangGraph, several tools and APIs
- $1,150
- Multi-agent system, complex workflow
- $1,900
Integrations & automation
from $380- Simple automation, Make or n8n, one or two systems
- $380
- Multi-system integration: CRM, ERP, email, calendars
- $550
- Advanced workflow with conditional logic and AI in the loop
- $850
Web apps & websites
from $550- Landing page or brochure site
- $550
- Simple web app: dashboard, form with logic
- $900
- Full application with database and integrations
- $1,350
GEO & AI visibility
from $230- AI visibility audit: ChatGPT, Perplexity, Gemini
- $230
- Content optimization for AI Overviews and LLM answers
- $330
- Full GEO package: audit, implementation, monitoring
- $450
Data acquisition
from $180- Web scraping: dedicated scripts, page monitoring, competitor prices and leads
- $180
- Mobile scraping: data from mobile applications
- $280
Data enrichment & cleanup
from $280- Data cleaning and normalization
- $280
- Data matching: record matching, deduplication, joining sources such as CRM and external data
- $380
Care plan
A shipped system keeps working only while someone is watching it. Monitoring, fixes and steady development after launch.
- Monitoring and minor fixes
- $90/mo
- Extended care: updates, optimization, reporting
- $180/mo
Prices are net of VAT. Final quote agreed after a scope review.
Five things that actually set AIMOps apart.
No claims you cannot verify. Each one is spelled out on the service pages.
- 01
Advisory and delivery in one place
The same person designs the architecture and writes the code. Nothing gets handed to another team after the analysis.
- 02
Operational context, not just technical
We know what a process handled by hand across a large team looks like, and what breaks in it once software takes over.
- 03
The tool follows the problem
Make and n8n for simple flows, code for high volume and complex logic. We justify the choice with maintenance cost.
- 04
A measurable definition of success
We start from a number: how many hours a week disappear into the process. Agents ship with tests on historical cases.
- 05
Maintenance after launch
Error handling, retries and an event log. A system nobody watches stops working quietly.
A transparent process in five steps.
- 01
Discovery call
We talk through your situation, goals and constraints, and agree whether and how we can help.
- 02
Proposal in 48h
Within two days you get a concrete scope, timeline and terms.
- 03
Build
We build the solution and keep you posted. Regular updates, no surprises.
- 04
Handover
We test the result together and hand over the working tool with documentation.
- 05
Support
We stay on call: development, fixes and care for what we shipped.
Where this pays off fastest.
Professional services
Law firms, accountants and agencies drowning in document intake, enquiry triage and repeated answers to the same questions.
Commercial real estate
Operators and managers who want document flow, billing and tenant communication in one predictable process.
B2B teams
Teams stuck in spreadsheets and inboxes. We put sales, quoting and customer operations in order.
How is an AI agent different from ordinary automation?
Automation follows fixed steps defined up front. An agent is given a goal and decides how to reach it. It understands natural language and handles cases that cannot be written out as rules.
AI agentsWhen is Make or n8n enough, and when do you need code?
No-code tools are fast and cheap for simple flows at low volume. With high event counts, complex logic or requirements around testing and audit we write code, because maintenance cost and risk then grow far more slowly. We make that call at design time, not after the fact.
Integrations & automationWhat do you build with?
Most often Next.js and TypeScript, with Python on the data side where it makes sense. We match the technology to the project, but we do not multiply it without reason: every extra piece is a maintenance cost for years.
Web apps & websitesHow is GEO different from SEO?
SEO competes for a position in a list of links. GEO competes for your company being named inside the answer itself. The foundation overlaps, but the emphasis falls elsewhere: on unambiguous facts, structured data and mentions in sources the model trusts.
GEO & AI visibilityIs scraping legal?
Collecting public data generally is, but it depends on the source terms, database rights and whether personal data is involved. We review that per source and refuse work where the answer is no. We also do not bypass anti-bot protection, which is where most of the legal risk sits.
Data acquisitionHow accurate is record matching?
It depends on the data, and we state the expected accuracy after the assessment rather than before. Every match carries a confidence score, and anything below the agreed threshold goes to a person instead of being merged silently.
Data enrichment & cleanupHow we do it, written out step by step.
Start with one process.
The first call costs nothing. You leave it knowing whether the process is worth automating, including when the answer is no.
Got a project or a question? Write.
Whether you are looking for help with a specific project, want to discuss automation in your company, or simply have a question, get in touch. We reply within 24 hours.
- contact@aimops.tech
- Site
- aimops.tech