Context-aware assistants
Questions answered using documents and business knowledge through retrieval-augmented generation (RAG), where appropriate.
MORE CAPACITY FOR YOUR TEAM
Turn information into action.
With AI and human judgment.
We design assistants and workflows that consult information, prepare work and support decisions. We define what AI can do, what context it needs and when human review is required.
Let’s explore an AI use case Frequently asked questionsFrom context to prepared work
- Defined sources
- Assistant or agent
- Human review
THE STARTING POINT
Does this sound
familiar?
- Your team spends too much time reading and gathering information.
- Questions recur, but knowledge is spread across documents.
- You want to add AI to a process with clear boundaries and owners.
A specific use case before choosing a model.
We review the task, available data and intended outcome. We design context, instructions, connections and oversight points. We test representative examples and review errors.
WHAT WE CAN BUILD TOGETHER
From the challenge
to the deliverable.
AI workflows & agents
Record preparation, information extraction or draft generation connected to working tools.
Review criteria
Agreed owners, action boundaries and validations to assess responses and approve actions.
Scope and deliverables are agreed in each project proposal.
RELATED EXPERIENCE · DOCUMENT ASSISTANT
Answering questions with a résumé as context.
A GPT assistant was developed using PDF documents as context to answer questions about candidates. A spreadsheet provides an interface to invoke functions and read responses.
We choose the solution
for the value it brings.
AI amplifies people’s capabilities. We identify where it adds capacity and where human review, context and decisions remain essential. If a rule or script solves the task better, we recommend it.
HOW WE APPROACH IT
A clear process.
Shared progress.
Define
Choose a task and a useful business outcome.
Prepare
Organize context, permissions and connections.
Test
Review responses, errors and cases requiring intervention.
Integrate
Introduce the workflow and agree on follow-up.
BEFORE THE NEXT STEP
Frequently asked questions
Answers about our approach, scope, and how we work together.
What business tasks can AI help with?
AI can help consolidate information from different sources, generate summaries, interpret documents, and connect scattered information. It can also flag differences, patterns, or details that might otherwise go unnoticed and need review.
We can incorporate it to classify requests, answer questions using business knowledge, or prepare records and drafts. We start with a specific task and evaluate its usefulness using information representative of your operations.
Does every process need artificial intelligence?
Introducing AI should address a need and deliver enough expected impact to justify its use. It is particularly useful when understanding information or working with context can significantly improve the outcome.
If a rule, script, integration, or process change addresses the need more simply and economically, we recommend it. We prioritize business value while considering costs, risks, and maintenance.
Can an assistant or agent work with our documents and tools?
Yes, when the required access and technical capabilities are available. We define which sources it can consult, what context it needs, and which actions it can perform. Information access and permissions are scoped to the use case.
What role does our team retain when we introduce an AI agent?
Your team can take on a role overseeing and coordinating agents: setting goals, reviewing results, resolving exceptions, and approving actions that require authorization.
Their expertise is essential to validate that the prepared work makes sense in the business context. The agent expands their capacity; decisions and approvals remain a human responsibility.
How do you handle AI errors and incorrect responses?
It is a process of continuous improvement. We test representative examples and, when an error is detected, review its cause to adjust instructions, information sources, validation, the workflow, or model configuration as appropriate. We then test the changes to reduce recurrence.
That is why a reviewer who understands the business is important. Outliers or exceptional cases may require human judgment, and incorporating them into an automation can sometimes be too complex or costly. We define when those cases should go to a person.
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