The assistant checks only sources permitted for this user. The answer includes references to review the original document; if evidence is missing, it asks for clarification or escalates to a person.
01 / Operations manualYour knowledge. Your AI.
Your rules.
AI that works with your context and respects your boundaries. Adapt models, connect knowledge and build assistants with evaluation and oversight.
Let’s discuss your project
A useful answer knows where it comes from.
Your team asks about an internal procedure and receives an answer linked to authorised documents. We design retrieval, permissions and evaluation to distinguish a grounded answer from a question that needs human escalation.
Information in its place.
What information can my team use to solve this task?
Local AI and GPU servers
Model, memory and workload sizing. Evaluate on-premises, private or hybrid deployment based on privacy, latency and operating cost.

Designed to connect.
Built around you.
Operations manual · Access policy · Current procedure
Conceptual image. Not a client installation.Clarity to decide.
Evidence to move forward.
Choose an initial process and an outcome you can verify. The custom artificial intelligence proposal connects scope, implementation and operations; it is more than a list of technologies.
Scope you can review
We document the starting point, people and systems involved in operations manual. Requirements, exclusions and dependencies are made explicit before building.
- Process and source map
- Priorities and acceptance criteria
A verifiable first delivery
We validate a complete workflow in an agreed environment. We review the normal case and exceptions: insufficient permissions, missing data or integration failures.
- Demonstration with your team
- Recorded tests and corrections
A team that knows how to use it
Handover includes knowledge: how to operate, who can change what and who to contact. Maintenance, training and next phases are agreed so the solution does not become isolated.
- Documentation and knowledge transfer
- Ownership and continuity
Let’s look at your use case.
Tell us what happens today, what needs to improve and which tools you use. We start by understanding it.
The first decision:
where your data lives.
On-premises
Within your infrastructure, with your own resources and operations.
Private
A dedicated environment with defined access, hosting and responsibilities.
Hybrid
Different workloads in different environments, with explicit information boundaries.
From model
to a useful tool.
Local AI and GPU servers
Model, memory and workload sizing. Evaluate on-premises, private or hybrid deployment based on privacy, latency and operating cost.
Connected knowledge
Search and answers over documentation using RAG, traceable sources and per-user permissions. Information retains its access boundaries.
Models and agents
Selection and adaptation of existing models. Tool-connected agents with bounded actions and human approval where appropriate.
Evaluation and governance
Test sets, error analysis, cost controls and logging. Validate usefulness before expanding into operations.
What knowledge does your AI need?
Agree sources, privacy, users and how to evaluate a useful answer.
Let’s talkWhat you receive.
How we verify it.
An assistant evaluated against your cases, connected to authorised sources and explicitly bounded in its actions.
Document sources, information classification, target tasks and examples of expected answers.
01Data and knowledge
Source catalogue, permissions and retrieval index.
02Model and evaluation
Model selection and evaluation question set.
03Deployment and oversight
On-premises/private/hybrid architecture and tool permissions.
- 01Question about internal documentation
- 02Retrieval of permitted sources
- 03Answer with references or a notice of insufficient evidence
Let’s be clear.
Does information have to leave the company?
Not necessarily. We can design an on-premises architecture; hardware, maintenance and external-source requirements are reviewed before committing to scope.
What do you need to prepare a proposal?
Goals, current systems, users involved and time or budget constraints. If access to sensitive information is needed, we agree conditions and permissions first.
How are price and timeline defined?
After defining scope, integrations, volume and acceptance criteria. The proposal separates implementation, licences or infrastructure and maintenance where applicable.
Your next step,
thought through together.
Tell us what needs to improve. We help you decide where to start and what is worth building.