Opportunity assessment
Interviews and a look at the real work to identify candidate tasks, frequency, cost of errors and owners.
AI consulting for companies
For executives, IT leads and SMEs that want to turn interest in AI into a business decision.
We start from the work you need done.
The first question is not which model to buy, it's what outcome the operation needs. We review processes, data and constraints to decide where AI adds value and where plain rules or conventional software do the job.
- Opportunities ranked by impact and feasibility
- Risks and dependencies visible before building
- Measurable criteria to decide whether a pilot moves forward
Where it adds value
Examples of scope we assess against your operation.
Data review
Sources, permissions, quality and representativeness, including what should never leave the company.
Scoped pilot
An evaluation set, acceptance thresholds and supervision, so the decision to scale rests on evidence.
What the work includes
- Prioritized inventory of opportunities
- Data and risk assessment
- Architecture and technology alternatives
- Pilot plan, costs and acceptance criteria
What we need from your team
We work with the people who know the process and with whoever owns IT. Anonymized examples, security constraints and current metrics help. You don't need to pick a platform first.
A concrete example
The questions came before the assistant
At a power generation company we first defined which questions the assistant had to answer, from which documents, and how quality would be measured. Only then did we start building.
Read the full caseScope, timelines and cost
Typical timeline: 2 to 4 weeks for the assessment and roadmap; a scoped pilot is quoted separately.
Depth, number of areas, available information and the need for a technical pilot drive effort and timeline. The cost of running models is assessed separately from consulting.
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
Process automation
Cut manual work and connect your operation, with AI only where it earns its place.
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.