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We study the process, its users, data, constraints and current cost. Opportunities are prioritised by impact and feasibility.
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02 · AI applied to business.
AI, automation and data
We turn real-world processes into AI systems that understand information, automate tasks and support better decisions.
What we can build
We examine how your organisation works, identify where artificial intelligence can create value, and build a solution integrated with your data, applications and teams.
- 01Knowledge assistants with verifiable sources
- 02Agents and process automation
- 03Document reading, extraction and validation
- 04Conversation, customer care and voice
- 05Content and image generation and adaptation
- 06Data analysis and decision support
One complete service
From opportunity to a system that works in production.
We do not start with a tool or a demo. We begin with the process, validate it using real cases and increase autonomy only when quality has been demonstrated.
Validate
We build an initial solution using real information and situations to test usefulness, accuracy, speed and cost.
Integrate
We connect applications, documents and data sources while defining permissions, controls and human review points.
Operate and evolve
We monitor outcomes and improve the system as the business, information or available capabilities change.
System examples
Practical applications designed around real work.
These are starting points, not fixed solutions. Each system is adapted to the process, available information and the right level of autonomy.
01Knowledge
Internal assistant with sources
Searches procedures, contracts and private documentation to answer team questions while showing where each answer comes from.
→Less time spent searching and more consistent answers.
02Documents
Intelligent case management
Receives documents, classifies them, extracts data, detects missing information and prepares each case for review or processing.
→Less manual data entry and better prepared cases.
03Operations
Cross-application agent
Collects information from several systems, prepares an action and requests approval before updating data or starting a workflow.
→Connected workflows without losing permissions or oversight.
04Customer care
Customer service copilot
Summarises conversations, identifies intent, suggests replies and routes cases that require human judgement.
→Faster replies and complete context for every agent.
05Commerce
Catalogue enrichment
Normalises product records, completes attributes, adapts descriptions and detects inconsistencies before publishing across channels.
→More complete, consistent and distributable catalogues.
06Voice
Voice assistant for routine tasks
Handles bounded enquiries, collects information and completes simple tasks, transferring the conversation when appropriate.
→Available assistance with context-rich human escalation.
What you can achieve
Value is defined before automation begins.
We agree on a baseline and measure the effect on time, quality, cost, adoption and risk. Technology only matters when it improves the process.
Reduce manual work without losing control
Find and use knowledge more effectively
Respond and operate faster
Make decisions with more context and evidence
Especially useful for
AI, automation and data
Teams with repetitive or information-heavy work
Businesses that need context from scattered data
Products adding AI with control and traceability
Quality and trust
Autonomy is earned through evidence.
Every system includes acceptance criteria, monitoring and clear boundaries. Sensitive actions remain subject to human approval until the agreed level of reliability is reached.
An architecture that is not tied to one technology.
We select the most suitable capabilities for quality, privacy, speed and cost at every stage. The system can evolve without rebuilding the entire process.
Real-world evaluation
Tests based on representative cases and expected outcomes.
Human oversight
Approvals and escalation for higher-impact decisions or actions.
Controlled data
Limited access, defined permissions and responsible information use.
Traceability
Records of sources, responses, actions, errors and costs.
Robust operation
Limits, retries, alerts and alternatives when failures occur.
Continuous improvement
Quality, adoption and performance monitoring throughout the system lifecycle.
Linkses
Tell us what you want to launch
You do not need to arrive with the solution decided. Share the goal, the starting point and the obstacle; we will suggest the most useful next step.