Manual, repetitive work
Skilled staff spend their days moving data between inboxes, PDFs, spreadsheets and the ERP instead of doing work that needs their judgment.
AI adoption for established companies
Put AI agents to work inside the systems you already run.
Adoptsi helps traditional businesses move from manual, repetitive processes to AI agents that work with your ERP, email, documents and customer service — built step by step, with your people in control.
No replacement of your core systems. We start with one workflow and measure the result.
Supplier invoice workflowIllustrative example
- Invoice arrives by emailAgent picks up the PDF from the shared inbox.
- Data extractedSupplier, amounts, VAT and line items are read and validated.
- Matched in the ERPChecked against the purchase order and goods receipt.
- Person approvesMismatches and exceptions go to your team for a decision.
The problem
Much of the work still runs on email, spreadsheets and re-typing.
Many established companies run on systems that were built years ago and still do their job. The gaps between them are filled by people copying data, chasing information and answering the same questions again and again.
Systems that don't talk to each other
Older software is often hard to connect and expensive to replace. Most companies need AI that works around it, not a multi-year migration.
Unclear where to start
AI looks promising, but questions about data, accuracy, cost and compliance make it hard to move from experiments to something the business relies on.
What we do
From first assessment to agents running in production.
We work hands-on with your team: identifying the right workflows, building the agents, connecting them to your systems and making sure people can use and oversee them.
01
AI readiness assessment
We map your key workflows, systems and data to find where agents can help — and where they shouldn't be used.
- Workflow and systems review with the people who do the work
- Prioritised use cases with effort, risk and expected impact
- Clear success criteria before anything is built
02
Agent pilots in 4–6 weeks
One focused workflow, built and deployed on your real data, so you can judge results instead of demos.
- Scoped to a single process with a named owner
- Human review built into every critical step
- Results measured against how the process runs today
03
Integration with existing systems
Agents connect to the tools you already use, so your team doesn't have to change how they work to benefit.
- ERP, email, document storage, CRM and helpdesk
- APIs where they exist, practical workarounds where they don't
- Least-privilege access and full activity logging
04
Team enablement & governance
Training and guardrails so agents stay useful, safe and under your control after the pilot ends.
- Hands-on training for the people working alongside agents
- Usage policies, access rules and approval flows
- Monitoring, review and ongoing improvement
How it works
Start small, prove it, then scale.
A simple process designed to limit risk and show results early.
Intro call
A short conversation about your business, your systems and where your team's time goes.
Assess
We review workflows and data together and choose one use case with clear value and manageable risk.
Pilot
We build and deploy the agent in 4–6 weeks, with human review in place, and measure it against agreed criteria.
Scale & operate
If the pilot works, we extend to more workflows, train your teams and keep the agents monitored and improving.
Example use cases
Where agents typically help first.
The examples below show the kind of workflows we build for. Every company is different — the assessment decides what makes sense for yours.
Invoice processing
- What the agent does
- Reads incoming invoices, extracts the data, matches it to orders in the ERP and prepares the booking.
- Where people stay involved
- Approving exceptions, mismatches and payments.
Customer email triage
- What the agent does
- Classifies incoming emails, pulls order or account details and drafts replies for common requests.
- Where people stay involved
- Reviewing and sending replies, handling complex cases.
Document & contract review
- What the agent does
- Summarises contracts and documents, flags unusual clauses and checks them against your standard terms.
- Where people stay involved
- Final legal and commercial decisions.
Internal knowledge assistant
- What the agent does
- Answers staff questions from your manuals, procedures and past documents, with links to the sources.
- Where people stay involved
- Owning and updating the source content.
Sales operations
- What the agent does
- Prepares quotes from requests, keeps CRM records up to date and drafts follow-ups.
- Where people stay involved
- Pricing decisions and customer relationships.
Have a different process in mind?
If it's repetitive, rule-heavy and involves reading or moving information between systems, it's worth a conversation.
Why Adoptsi
Practical AI adoption, built for businesses that can't afford to break things.
Security-first
Minimal access, clear data boundaries and logging of what agents do. We design around your security and compliance requirements from day one.
Human-in-the-loop
Agents prepare, people decide. Approval steps are built in wherever a mistake would matter.
Measurable pilots
Success criteria are agreed before we build. You decide whether to scale based on results, not promises.
Works with your existing stack
No rip-and-replace. Agents fit into the ERP, email and document systems your team already relies on.
We build agents on leading AI models, such as Claude, and choose the right model and setup for each task and data requirement.
Founder
Founded by Luis Cabrera
Adoptsi is a founder-led company. You work directly with the person responsible for assessing your workflows and delivering your agents.
Have a process that takes too much of your team's time?
Tell us about it. In a short intro call we'll talk through how it works today and whether an AI agent is a good fit.
Book an intro call
or email luis@adoptsi.si