Document lookup
Answers that cite their source so the reader can check them, respecting the permissions of each repository.
For teams that live in documentation, or that coordinate tasks over information that changes.
Finding an answer or completing a task can mean opening several documents and applications. We build assistants that retrieve information and agents with bounded actions, so every automation has an owner and verifiable limits.
Examples of scope we assess against your operation.
Answers that cite their source so the reader can check them, respecting the permissions of each repository.
Sorting requests or preparing drafts. The team reviews before anything sensitive happens.
Checking a status or preparing an operation through authorized tools, with input validation and confirmation where it matters.
We need current documentation, access profiles and representative questions. We define what happens when information is missing and which actions can never run without approval.
At a power generation company, the assistant answers questions about procedures, drawings and financial documentation while citing the source document, with a test suite that runs before every change.
Read the full caseTypical timeline: 6 to 12 weeks to production, with an evaluated pilot before the whole team gets access.
Source preparation, connections, evaluation, model usage and maintenance all count. A citation alone doesn't remove the risk of a wrong answer: that takes testing and review of real usage.
We agree deliverables and acceptance criteria per stage. The full process is in how we work, and the reference ranges in formats of work.
We define role-based permissions, data handling and operational owners. Testing covers errors and exceptions, not just the happy path. We document dependencies and the steps to restore the service.
It depends on the process, the integrations, usage volume and security requirements. Our proposal separates implementation, operation and maintenance once the scope is defined, and we publish reference ranges for each format of work.
With an assessment of the process, the systems and the data. Then we define scope, a pilot, and the criteria that will tell us whether it's worth going further.
An assessment takes 1 to 2 weeks and a project usually runs 4 to 10 weeks, depending on scope, access and integrations. We agree milestones before building.
Less manual work, fewer errors and faster response times. We measure against a baseline; results depend on the process, data quality and how the team adopts it.
We define permissions, data handling, activity logs and provider conditions based on the information and its risk. Sensitive actions can require human approval. The details are on our security page.
Scope can include your rules, interfaces and flows. We assess when configuring existing tools is enough and when custom software is the better answer.
That depends on each system's APIs, permissions and limits. We verify the connections before committing to the implementation.
We compare realizable benefits against implementation and operating costs over a defined period. Freed-up time is capacity, and it doesn't automatically become cash savings.
Tell us the process, the systems involved and the outcome you need. We'll assess the scope and the next steps with you.
Cut manual work and connect your operation, with AI only where it earns its place.
Find the AI opportunities worth pursuing, assess data and risk, and get a roadmap you can act on.
Connect applications, CRM, ERP and data sources with validation, traceability and error recovery.