AI AGENTS
AI agents that fit your business.
I develop controlled AI systems that use defined knowledge and tools, prepare work transparently and remain within clear technical and organisational boundaries.
Support for research, processing and preparation.
An agent can gather information, classify documents, draft structured outputs and coordinate approved tools. The useful capability depends on the workflow, available sources and required reliability.
Knowledge assistant
Searches approved internal information and answers with traceable sources.
Research agent
Collects defined sources, compares information, structures results and flags uncertainty.
Support assistant
Classifies enquiries, considers context and prepares responses; complex cases are handed over.
Document agent
Uses data and templates to prepare offers or document drafts; binding results require approval.
Process assistant
Plans traceable steps, uses permitted tools and coordinates workflows across systems.
Analysis agent
Monitors defined metrics, identifies anomalies and reports without making critical decisions alone.
Permissions and decisions remain explicit.
The agent receives only the sources, tools and access it needs. Sensitive or consequential actions require validation, human approval or a deterministic fallback rather than unchecked autonomy.
A clear task with defined tools
- uses only approved sources and systems
- performs traceable steps
- can prepare actions
- records status, sources and results for review
No unrestricted decision-making power
- receives minimum permissions
- does not perform critical actions without approval
- does not use unclarified data
- stops on uncertainty, rule violations or errors
From a bounded task to dependable operation.
We define the outcome and risks, build a small testable workflow, evaluate it with realistic cases and expand only when quality and control are demonstrated.
Potential and baseline
The process, problem and current effort are understood before deciding whether an agent fits.
Value and metrics
Time, cost, quality or new capabilities are connected to baselines and verifiable criteria.
Data and control
Data, tools, permissions, prohibited areas, approvals and safe handovers are defined.
Agent and safeguards
The agent is built for a bounded use case with rules, validation, fallbacks and approvals.
Test and decide
Real scenarios, edge cases, quality and security are tested against agreed criteria.
Introduce and optimise
After handover, I support real use for 30 days and improve the agreed quality.
Traceability is part of the product.
Test cases, source references, structured logs, access control, monitoring and documented model or prompt changes make behaviour reviewable and incidents manageable.
Need-based permissions
The agent receives only the data and tools required for its clearly defined task.
People make critical decisions
Important actions are prepared but executed only after deliberate human approval.
Tests and quality gates
Scenarios, edge cases and results are checked with tests, reviews and documented criteria.
Observable and traceable
Logs, error paths and handovers show what the agent did and where intervention is needed.
Questions about AI agents
What controlled use of AI agents means in practice.
Do I need to know which AI agent I require?
No. We clarify the baseline first and assess whether an agent is useful and which use case should be tested first.
How does an AI agent differ from a chatbot?
An agent follows a clear task, uses approved sources and tools, and performs several steps within defined boundaries.
Which data and systems can an agent access?
Only explicitly approved data sources and tools, following the principle of least privilege.
How do I retain control over important decisions?
Important actions require human approval. The agent pauses when information is missing or uncertainty or risk is present.
How are quality and security tested?
With data minimisation, access controls, tests and evaluations, manual reviews, logs, quality gates and safe fallbacks.
What happens after launch and handover?
Effort depends on scope, integrations, data, risk and desired operations. You receive a transparent estimate.
Identify a useful, controllable agent use case.
We can examine your workflow and define the smallest responsible first stage in an initial consultation.
Request an initial consultation