Scattered information
Your team searches for the same information across emails, documents and different applications to complete a task.
AI for businesses and SMEs
Documents to organise, data copied between tools and reports started from scratch. We assess your process and build a solution around the way your team works.
Your starting point
Your team searches for the same information across emails, documents and different applications to complete a task.
Sorting files, copying information and preparing first drafts take time every week.
You want to use AI, but need to identify a worthwhile process and a way to assess the result.
Where we can help
Classify documents and turn PDFs into data your team can review and use.
Create drafts from documents, preserve references and review the information before finalising a report.
Bring email, documents, calendars and tasks into a workflow with approvals and traceability.
Connect a phone conversation with availability, bookings and business data. Experience delivered through Qamarero’s hospitality software.
Documented experience
Client projects, collaborations and a co-founded product. Each case explains the context, our contribution and its limits.
Property management · Applied project
A property management business receives hundreds of thousands of documents each month and needs to sort them into many categories. Several classification approaches were evaluated and a system was built to suggest the most likely categories.
Read the project: Property managementLaw firm operations · Client project
Case files, email, documents and calendars are often spread across different tools. These tools were connected in a management workspace where AI can suggest tasks and classify attachments.
Read the project: Law firm operationsExpert reports · Client project
Collecting dates, injuries and assessments from many documents can make reports slow to prepare and difficult to review. A workflow extracts information and prepares section-by-section drafts with consistency checks.
Read the project: Expert reportsChoose the closest example and estimate how often it happens. You do not need to know anything about AI.
Your estimate stays in this browser until you choose to add it to a message.
hours every week
This is the time you reported, not a promise of savings. First we check the exceptions, information and tools involved.
Bring a few typical files and show what information you look for or where each one goes.
Bring an example report and its source material. Tell us who checks and approves the final version.
Show us where the information starts, where it needs to go and what exceptions your team handles.
Describe the common questions, where the answers live and when a person should take over.
A shared way of working
We review a real example, the people involved and the systems you already use.
We agree on scope, data access, expected results and the points that need human review.
We test a first version against representative examples, measuring quality and operating cost.
We connect the system, document how it works and agree on support and monitoring.
Aritz leads consulting and technical definition. The team develops and integrates the system under his technical direction. Meet the team ↗
Ways to start
We agree the right starting point for your situation. Scope, budget and acceptance criteria are defined before development begins.
We review tasks, frequency, tools and data. We define what is worth tackling and how to measure the result.
Discuss your workflowWe develop a first version, test representative cases and agree how errors and reviews will be handled.
Discuss your workflowWe connect the solution with daily work, document its use and agree responsibilities, maintenance and support.
Discuss your workflowBefore we talk
No. We need to understand the task, the tools you use and what a good result looks like. We turn that context into technical requirements.
We assess the integration options for each tool. Available access, APIs and permissions determine what we can connect and how.
We review which data is needed, who can access it and where it is processed. Depending on the case, we propose local models or external services under agreed conditions.
We define what can be automated and what requires approval. Reports, proposals and sensitive actions include review points.
That depends on the process, data and integrations. After reviewing the context, we propose a scope with a budget, timeline and acceptance criteria.
Tell us what your team does today, how often and what you would like to change. We will review the workflow, tools and next step with you.
Prefer a conversation?
Book a 15-minute phone callWe will discuss your goal, available tools and data, and whether we can help.