Operations dashboards
Indicators pulled from the original sources, with quality checks and alerts when data stops arriving.
Data and analytics for companies
For teams deciding from spreadsheets rebuilt by hand, who don't fully trust the number in front of them.
We start from the work you need done.
Before building a dashboard there's a more basic question: what is the source of truth for each indicator, and who answers for it. We review sources, quality and refresh rates, and only then choose how to show the information.
- One source of truth per indicator, with an owner
- Dashboards that refresh themselves and flag missing data
- Natural-language queries where the case justifies them
Where it adds value
Examples of scope we assess against your operation.
Natural-language queries
Questions translated into database queries, with an allow-list of operations, injection prevention and traceability.
Data preparation
Consolidating scattered sources with stable identifiers, history and explicit transformation rules.
What the work includes
- Inventory of sources and owners
- Data model and transformation rules
- Dashboards or query interface
- Quality checks, alerts and documentation
What we need from your team
We need access to the sources, examples of the reports built by hand today, and the business definitions: what counts as a sale, an active client or an incident.
A concrete example
Asking the database in plain language
At a power generation company we enabled natural-language queries over financial documentation, with a security layer that sanitizes the query and an allow-list of permitted operations.
Read the full caseScope, timelines and cost
Typical timeline: 3 to 8 weeks, depending on how many sources need ordering before the first dashboard.
Number of sources, their quality, refresh frequency and the level of security required all drive effort. We separate data preparation, visualization and maintenance.
We agree deliverables and acceptance criteria per stage. The full process is in how we work, and the reference ranges in formats of work.
Security and continuity by design
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.
Before you start
How much does it cost to implement AI or automation?
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.
How does an engagement start?
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.
How long does a project take?
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.
What results can my company expect?
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.
How is our information protected?
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.
Will it fit how we work?
Scope can include your rules, interfaces and flows. We assess when configuring existing tools is enough and when custom software is the better answer.
Can it integrate with the tools we already use?
That depends on each system's APIs, permissions and limits. We verify the connections before committing to the implementation.
How is return on investment calculated?
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.
Let's talk about your operation.
Tell us the process, the systems involved and the outcome you need. We'll assess the scope and the next steps with you.
Capabilities that go together
System integration
Connect applications, CRM, ERP and data sources with validation, traceability and error recovery.
AI agents and assistants
Document assistants and AI agents wired into your operation, with permissions and quality criteria.
Assessment and IT architecture
Put processes, systems and data in order, and decide what to modernize, integrate or replace.