Knowledge with sources
Questions about an authorized knowledge base, answers with references and defined access boundaries.
Applied artificial intelligence
AI for a specific task in your business.
Search documents, organize information and prepare tasks with AI support. We define the sources, boundaries and what needs human review.
What you receive
Organized documents
Extracted fields, links to source material and human review before using the information.
Task support
Triage, suggestions and authorized actions, with approvals, logging and failure handling.
Applications to explore
Explore applications of this service
Open a project to explore its workflows, rules and decisions.
01Procurement · Document review
Cláusula
Assisted review of commercial documents.
- Passages linked to sources
- Human review of output
- Visible analysis limits
02Procurement · Proposal comparison
Cotação
Normalised proposals for a reviewed decision.
- Passages linked to sources
- Human review of output
- Visible analysis limits
03B2B support · Knowledge base
Base
Support with source-backed responses.
- Passages linked to sources
- Human review of output
- Visible analysis limits
Explore more demonstrations
From pilot to everyday use
An AI project
is also an
operations project.
- 01
Choose the problem
Map the routine, who is involved, and what defines a good result. Decide what AI should do and where review is needed.
- 02
Prepare data and access
Organize sources, examples, permissions, and available integrations. Select tools that fit the scope.
- 03
Build and evaluate
Test the workflow with authorized examples, compare results against defined criteria, and address failures before expanding use.
- 04
Deploy and monitor
Provide guidance, operating records, and a monitoring routine. Maintenance and further development are agreed on in the proposal.
What we need to get started
One task, authorized examples of documents or questions, and the people who will review results. We start with a pilot and evaluation criteria before expanding.
Before getting started
Let's get into the details.
Do you build agents that perform tasks?
Yes. The project defines which tools the agent can use, which actions are allowed, and when a person must approve them. Integrations, execution logs, and error handling are part of the design.
Can I use my company's documents and data?
Yes. We assess source quality, the access needed, and where information will be processed. The solution must respect the permissions and restrictions defined for the project.
Can AI make mistakes? How do you handle that?
It can. We test representative examples, check outputs, and define what to do when information is missing or conflicting. Answers, extractions, and actions each have their own validation criteria.
I already use spreadsheets, Power BI, or another system. Can they be integrated?
I assess the available access methods, such as files, APIs, or authorized queries. The feasible integration and each tool's responsibilities are made explicit in the scope.
How do we get started, and which costs are included in the proposal?
We can start with a pilot for one routine. The proposal lists development, infrastructure, AI service usage, and any ongoing support separately, based on the tools and expected volume.
How are timing and cost determined?
After reviewing your goal, available materials and required integrations, I prepare a proposal with stages, timing and cost. Scope changes are agreed before implementation.
What happens after delivery?
Usage guidance and support terms are described in the proposal. Maintenance, enhancements and any recurring hosting, licensing or external service costs are defined for the solution.
Let's talk
Which task deserves
an AI solution?
Tell me how your operations work and what you would like to improve.