Assistants and intelligent workflows
Assistants for defined tasks, with limits and human handover.
Automate intelligently. Keep human judgement.
We integrate AI into your company's day-to-day work to automate tasks, speed up processes and free up time. First we prove the value: then we scale.
Let's explore your use caseWhat we can build for you
Document processing
OCR and data extraction with exception validation.
Human oversight
Human review and approval for critical actions.
Businesses already relying on Tesseract
- Alpha 3DHolding
Some tasks take hours when they shouldn't.
Repetitive tasks take time away from work that needs human judgement.
The same questions again
Your team searches for and explains the same information while other work waits.
Documents read manually
Extracting and classifying data takes time; different formats complicate the work.
Automation that's hard to control
An incorrect answer or an unchecked action can create more problems than it solves.
Your solution is also just one click away.
The Tesseract approach
Your data isn't an afterthought.
We review each provider's data usage, retention and training terms before integration. Restricted access and minimal data.
- Tests with representative samples
- Evaluation of errors, cost and usefulness
- Agreed permissions and human review
Automation for real business needs
Convy · telephone reception
SaaS product in development for AI-assisted telephone reception. Launch planned for March 2027; final scope to be confirmed.
Danisol Construcciones · OCR
A planned bespoke document system to reduce manual transcription. Extraction, exception review and integration subject to scope validation.
Invoices · from inbox to accounting
When an invoice arrives by email, the supplier, amount and due date are extracted, duplicates are checked and an entry is prepared in your accounting system. Discrepancies go to review before approval.
Customer service · enquiries and tickets
Email and form enquiries are classified by topic and urgency and assigned to the right team. An assistant drafts replies using your documentation and hands over cases that need human judgement.
Sales · following up opportunities
A quote request creates or updates the contact in your CRM, summarises their needs and alerts the person responsible. If it remains pending, a reminder and a follow-up draft are prepared for the team to review.
How we work
A clear process. No leaps into the unknown.
Choose the problem
Identify a specific task, its limits and the outcome that would justify automation.
Validate with samples
Test quality, errors and cost with representative data before proposing a full integration.
Integrate with controls
Connect the workflow, restrict permissions and add review, traceability and exception handling.
Measure and adjust
Compare results with the original process and review costs, failures and behaviour changes.
Technology that connects your daily work.
We use n8n and Make to connect your tools and integrate AI into specific processes. We choose according to your systems, the control you need and workflow maintenance.
n8n
Workflows tailored to your operations
We connect applications, APIs and AI steps in a single workflow. We define transformations, conditions and error handling, with hosting options suited to the project.
Make
Your tools working together
We design visual scenarios that connect email, forms, CRM and other applications. Routes, filters and actions automate tasks and make each execution easier to track.
A complete architecture, not just an interface.
We connect workflows to your tools through APIs and webhooks. Make runs scenarios on its platform; n8n can run in the cloud or be self-hosted. When a project needs its own services or data, we adapt the infrastructure to that scope.
Azure / AWS
We configure infrastructure, monitoring and recovery for the project. A foundation designed to adjust capacity and detect issues.
SQL Server / PostgreSQL
We choose SQL Server or PostgreSQL to organise data and maintain its integrity. Permissions, backups and recovery are designed around the information your business handles.
Docker
We package services with their dependencies to keep test and production environments consistent. Repeatable deployments make the application easier to update and maintain.
Before we begin
Let's answer your questions.
Let's explore your use caseDoes every process need AI?
No. We choose the tool after understanding the task.
Can AI make mistakes?
Yes. That's why we define tests, limits and human review. We don't promise perfect accuracy or automate critical decisions without controls.
Will my data train public models?
It depends on the provider, service and configuration. We review these terms before sending information and agree on processing suited to the project's needs.
How do we know it's worthwhile?
We establish a baseline for the current process and measure time, errors, quality and usage costs in a bounded trial. We expand only when the evidence supports it.
Let's begin
Start automating with judgement.
Tell us which task repeats and who should validate the result.