One priority process
We start with a specific friction point, identified users and a manageable initial scope.
AI integration · Custom systemsAI, connected
AI, connected
to your operations.
Your documents. Your tools. Your team. We connect them to AI built around your business: finding information, preparing work and automating the steps that make sense.
From the first use case to a working production system.
01
Grounded in your business
A real process as the starting point
02
Connected to your tools
Existing documents, applications and systems
03
Built for everyday use
Evaluation, oversight and ongoing support
The next step
You’ve tried AI. Let’s put it to work with your tools.
A standalone assistant can help. But when information stays in folders, teams re-enter the same data and each application works in isolation, much of the work remains.
Our role is to connect what AI can do with how your business actually operates.An observable outcome
Processing time, answer quality, corrections required: we define the criteria before development begins.
A system you can operate
Interfaces, permissions, connections and monitoring are part of the project, alongside the AI model.
AI in context
Practical value. Several ways to start.
Select an example to see how AI can fit into an existing process.
From documents to usable data.
Extract useful information from an order, invoice or file. Check it for consistency and prepare it for your business software.
Starting point
An order arrives by email
Email + PDF attachment
Prepared by AI
A record prepared for review
- Customer
- Matched to the customer directory
- Items
- References and quantities extracted
- Delivery
- Date to be confirmed
Checkpoint
The operator reviews flagged fields before approving.
In your operations
The approved order can be passed to the ERP.
What we evaluateData entry time, correctly extracted fields and correction rate.
The right knowledge, when it matters.
Give your team a way into procedures, technical documents and internal information, with answers grounded in authorised sources.
Starting point
A team member needs a procedure
A question in natural language
Prepared by AI
An answer with supporting sources
- Search
- Documents this user may access
- Answer
- Summary of relevant passages
- Sources
- Links to the original documents
Checkpoint
When sources are insufficient, the assistant says so and points to a person who can help.
In your operations
The user finds the information and can check where it came from.
What we evaluateRelevance, source quality and questions left unanswered.
Move work forward across your tools.
An agent can prepare a sequence of actions: qualify a request, look up relevant data and propose the next step, within a defined set of permitted actions.
Starting point
A request spans several tools
Form, email or business event
Prepared by AI
A proposed action plan
- Context
- CRM and case information
- Proposal
- Task, assignment and reply prepared
- Actions
- Limited to granted permissions
Checkpoint
Approval is requested before the consequential action defined in this workflow.
In your operations
Approved actions are carried out and their status is tracked.
What we evaluateEnd-to-end processing, exceptions and human interventions.
A better-prepared first response.
Qualify requests, find the information needed to answer and assist your team. An assistant can also address questions covered by your documentation.
Starting point
A customer asks a question
Message received through a connected channel
Prepared by AI
A response with relevant context
- Request
- Topic and need identified
- Context
- Authorised information and sources
- Reply
- Draft ready for review
Checkpoint
Sensitive or out-of-scope requests are passed to the appropriate person.
In your operations
The team responds with the context it needs, in its usual tool.
What we evaluateResponse quality, handling time and appropriate handovers.
Illustrative workflows, to be adapted to your tools and business rules. These are not customer results.
A complete integration
The model matters. So does everything around it.
A useful solution connects your data, business logic and the tools where work happens. We design the whole system: connections, document retrieval, agents, interfaces and monitoring.
- 01
Your data
Documents · Databases · Business knowledge
Selected sources and defined access - 02
Orchestrated intelligence
Retrieval · Models · Agents · Business rules
Context, instructions and controls - 03
Your operations
ERP · CRM · Internal tools · Interfaces
Permitted actions and execution tracking
Your constraints shape the architecture.
AI services via API
Access hosted models, with a review of transmitted data, service terms and usage costs.
Private cloud
Assess a dedicated environment and compatible models against your isolation, operational and budget requirements.
Your own infrastructure
Evaluate on-site deployment when the constraints justify it, including the hardware and maintenance it requires.
Models evolve. We aim to make updates possible without rebuilding the entire solution; dependencies and limitations are set out in the project.
Confidence by design
Automate. And stay in control.
AI can make mistakes, lack context or encounter an unfamiliar situation. Its role in your organisation needs to be as clearly defined as its capabilities.
Bounded access and actions
We define accessible sources, user permissions and allowed actions. Steps that commit the business can require approval.
Answers tested against your cases
We test representative examples, exceptions and errors. Sources are shown where the workflow calls for them, with a defined response when AI cannot answer.
Operation you can monitor
Quality, usage costs, response times and incidents: we define the indicators and monitoring arrangements. Your team knows how to intervene and whom to contact.
Clear steps and decisions
From an idea to everyday use.
We work in stages to assess the project’s value, build on concrete evidence and prepare the team to use it.
- 01
Scope
Review the process, tools, data and constraints. Choose a first use case and its success criteria.
Scope, feasibility and proposal - 02
Validate
Build a pilot using representative cases. Assess quality, exceptions and operating costs.
Evaluated pilot and a decision on next steps - 03
Integrate
Connect the systems, design the interfaces and put permissions, approvals and recovery paths in place.
Integrated solution and acceptance testing - 04
Deploy & support
Prepare production launch, train the team and organise monitoring. Evolve the solution with feedback from everyday use.
Go-live and support arrangements
Schedule, deliverables and costs are defined around the scope. The pilot informs the next decision through observed results.
Your starting point
One clear use case is a strong place to start.
Have a specific idea? We can assess how to integrate it. Facing a recurring problem? We can help turn it into a project. If you already have an audit, we can use it to prepare implementation.
What we clarify together
- The process and the people involved
- Available data and system connections
- Expected outcomes and acceptable limitations
- Build, usage and ongoing support budgets
The right questions
Before you get started.
Do we need to know exactly what to automate?
A recurring problem, a few examples and an outline of your tools are enough for a first conversation. We can then propose a scoping exercise or study, with its scope and price agreed before it begins. If you already have an audit, we review it to identify what can directly support implementation.
Can we keep our existing software?
We start with your current environment. Feasibility depends on APIs, export formats, access rights and each tool’s capabilities. These are checked during scoping. We specify the connectors to develop and any adaptations required.
How does an AI assistant differ from an agent?
An assistant primarily helps find, understand or prepare content. An agent can also sequence steps and use tools to carry out authorised actions. Its level of autonomy is defined by the business workflow, with appropriate approvals and exception handling.
Where does our business data go?
That depends on the chosen architecture. We identify the information processed, services used, hosting locations and retention rules to define. Provider terms, including any use of your data, are reviewed. Private or on-site hosting can be assessed; access controls and protective measures still need to be defined.
What budget and timeline should we expect?
A focused document assistant and an agent connected to several systems have different scopes. The quotation distinguishes scoping, development, integrations and support. Recurring model, hosting and monitoring costs are also estimated. The schedule and milestones are confirmed after reviewing your needs and data.
What happens after launch?
The proposal specifies documentation, training, maintenance and support arrangements. Depending on the agreed scope, monitoring can cover errors, usage costs, model changes and evolving sources. Improvements are prioritised using feedback from users and observed results.
Let’s start with your reality
Which process still takes too much of your time?
Tell us about your business, your tools and what gets in the way. We can identify a first use case to assess and the right way to integrate it.
Let’s discuss your AI projectA few concrete examples are more useful than a perfect specification.
Computer-generated visuals and illustrative examples. They do not depict customer projects or guaranteed outcomes.
