Look up orders
An agent checks an order in an authorized system and prepares a reply. Customer data is shown only to users with permission.
APPLIED ARTIFICIAL INTELLIGENCE
Applied AI & agents
We build document assistants and supervised agents that query your systems and perform tasks through APIs, with defined permissions and quality evaluation.
Let’s talk about your project01 / The challenge we solve
Your information, turned into a useful tool.
Useful information is scattered across documents, or your team spends too much time classifying and summarizing content.
What we can deliver
Workflow, feasibility, data and privacy assessment
Source-grounded assistants and API-connected agents
Least-privilege access and human approval for sensitive actions
Pilot with test cases and agreed quality criteria
Traceability and step, time and usage limits
Source code, documentation, handover and support within agreed scope
What it could look like in your business
An internal assistant searches authorized procedures, cites its sources and acknowledges missing information.
Illustrative example. Scope is defined during discovery.
From finding an answer to completing a task
A document assistant searches authorized information and cites sources. An agent also queries tools and prepares or performs steps through APIs within agreed permissions. When information is missing or a tool fails, it stops and hands the case to a person.
Specific tasks, with clear boundaries
Illustrative examples with fictional data; these are not client projects or agents running on this website.
Prepare quotations
It brings together catalog and request details to prepare a draft. A person reviews pricing, terms and the recipient before sending.
Classify requests
It groups requests by topic and suggests an assignment. Ambiguous or sensitive cases go to the team with the available context.
From assessment to an evaluated integration
Assess
We define a bounded task, systems, permissions, exceptions and success criteria. When a conventional rule is enough, we propose that option.
Pilot
We test tools and authorized sources against representative cases, keeping sensitive actions subject to approval.
Evaluate
We review quality, errors, handoffs, timing and usage against agreed criteria, then decide whether to continue.
Integrate
We connect the validated workflow, document limits and recovery, train your team and agree on monitoring and support.
Before connecting an agent
What happens to our business data?
We review sensitivity, permissions, providers and processing terms before connecting data. We agree on what the agent can access and where processing takes place.
Can it make mistakes or take the wrong action?
Yes. We define tests, validation, traceability and stop conditions. Answers are not treated as infallible; uncertain cases go to a person.
Which actions need authorization?
We agree on least-privilege access. External messages, sensitive changes, cancellations and financial operations require the approval defined for the project.
Which costs and support are included?
The proposal separates development, model usage, tools, hosting and support. We set step, time and usage limits; maintenance and later changes have an agreed scope.
LET’S START WITH A CONVERSATION
Where does your team’s work get stuck?
It might be an order, a quote or a piece of data that never reaches the right system. Tell us how it moves so we can explore the next step.