Show the task
Walk through a real example: what arrives, where the information lives and what your team does next.
Company-specific automation
What could your company stop doing manually?
Augmentti turns repetitive work across email, PDFs, spreadsheets and company knowledge into reliable automation built around the way your business actually works.
No AI roadmap required. Start with a task that feels slow, repetitive or oddly specific.
Example workflow
Process an incoming order request
IncomingEmail
AttachmentPDF
ReferenceExcel
ContextCompany rules
Read the requestIdentify the customer, order details and requested action.
Done
Extract what mattersTurn the relevant information into structured data.
Done
Check company rulesValidate stock, price limits and required approvals.
Checking
Prepare the next stepUpdate the system, draft a reply or surface an exception.
Waiting
Move routine work forwardKeep unusual or consequential cases visible to a person.
01 / Recognize the work
Does any of this happen in your company?
The best automation opportunities rarely arrive labelled as “AI projects.” They look like ordinary work that people repeat because no better way has been built yet.
PDF to spreadsheet
Someone opens a document, finds the relevant values and copies them into Excel or another system.
Could this be automated? →
Shared inbox triage
Incoming emails are read, understood, categorized and forwarded to the right person by hand.
Could this be automated? →
The answer is scattered
Useful knowledge lives across manuals, old emails, folders and one experienced colleague’s memory.
Could this be easier to use? →
The same checks, again
The same information is compared against the same rules, limits or requirements every week.
Could this be automated? →
The recurring report
Several exports, files or spreadsheets are combined to prepare the same report or update.
Could this be prepared for you? →
One person knows the exceptions
Routine cases are simple, but unusual ones depend too heavily on the same experienced employee.
Could the knowledge be captured? →
Built around your business
Generic AI knows the world. Useful automation needs to know your business.
Your terminology, documents, rules, approvals and exceptions are what make the work make sense. Augmentti builds around them—not around a generic demo.
Not a chatbot added on top. A focused solution designed for one useful job inside your company.
Your language
Products, customers, terminology and the way your team describes the work.
Your rules
Checks, thresholds, approvals and what must never happen automatically.
Your information
Documents, emails, spreadsheets, systems and trusted sources.
Your exceptions
When the normal path is not enough and a person should take over.
What this can look like
From incoming work to a useful next step.
Choose a familiar kind of work. The details change by company, but the pattern is often the same: understand what arrived, use the right context, check it and move the work forward.
Incoming email
Understand, route and prepare the next action
Illustrative example—not an off-the-shelf product
Today
A person reads every message, works out what it means, searches for context and decides who should handle it.
→
A better flow
Routine requests arrive already understood, checked and prepared. Unusual ones reach a person with the relevant context attached.
01
Understand the requestIdentify the topic, customer, urgency and intended action.
Automated
02
Find the right contextUse relevant documents, conversations and company rules.
Automated
03
Prepare or perform the next stepDraft the reply, create a task, update a system or route the request.
Automated
04
Route unusual cases to a personHand the case to a person when confidence, rules or consequences demand it.
Human oversight
Automate the repeatable. Keep people involved where judgment matters.
01Existing tools
Work with the systems and information your team already uses.
02Company-specific
Built around your terminology, rules, data and edge cases.
03Human where needed
Clear boundaries for approval, escalation and consequential decisions.
04The right tool
AI when useful. Ordinary automation when it is simpler and more reliable.
02 / A practical first step
Start with the work, not the technology.
You do not need to arrive with an AI strategy or a finished specification. Start by showing how one recurring task works today.
Find the opportunity
Separate the repeatable steps from the decisions that need experience, approval or judgment.
Build one useful solution
Connect the required information and systems, then test the flow against real cases and exceptions.
Expand based on evidence
Measure what works, review what does not and automate more only where it earns trust.
One senior engineer, end to end.
The person understanding the work also designs, builds and improves the solution. Fewer handoffs, less lost context.
We may recommend something simpler than AI.
The goal is useful automation—not forcing a fashionable technology into the wrong task.
Common questions
A practical way to explore automation.
Do we need to know exactly what we want built?
No. A recurring task, a handful of real examples and a person who understands the work are enough to begin. The first job is to determine what is repeatable, what needs judgment and whether automation is worthwhile.
Does everything need to use AI?
No. The best solution may combine ordinary software automation, business rules and AI—or use no AI at all. The goal is a reliable result, not a fashionable architecture.
What happens to unusual cases?
They should be visible, explainable and easy to hand to a person. A useful system moves routine work forward while preserving clear boundaries for exceptions, approvals and consequential decisions.
Can this work with our existing tools?
Often, yes. The starting point is the systems and information your team already uses: email, PDFs, spreadsheets, folders, internal knowledge and line-of-business software.
Could this be automated?
Something at work feels more manual than it should?
Describe something your team repeatedly reads, copies, searches, checks, sorts or answers. It does not need to sound like an AI project.
Describe a recurring task by email
For example: Every Monday, someone opens 30 supplier PDFs, copies the data into Excel, checks it against our price list and emails the exceptions to the purchasing team.
Send an emailanssi@augmentti.fi
Opens your email app. You can also copy the address below.
A short description is enough. The first conversation is about the work—not the technology.