Understands
Collects the request and identifies missing information.
The solutions
AI meets
the way you work.
AI agents and systems integration to build on the software you already use. With private infrastructure sized to your needs.
01 / AI agents
Practical support.
Within your processes.
An AI agent can read a request, find authorised information and prepare the next step. You define what it can do and when it must stop.
Retrieves
Queries authorised documents and software, keeping a reference to the source.
Prepares
Drafts a reply, a summary or a proposed update.
Acts within rules
Acts within agreed limits and requests review for activities requiring approval.
02 / Systems integration
The value is already here.
Let’s connect it.
Information lives in different tools. We connect these systems to reduce re-entry, repeated searches and manual handoffs.
We start with official APIs and connectors: the interfaces provided by the software. Where these are unavailable, we assess file exchanges or authorised automation with the provider.
Your tools
CRMManagement softwareEmailDocumentsCalendarsCatalogues
simpliaAI agents + integrations
Connected information. Traceable actions.
Shared company knowledge
Centralised information.
Access by business function.
One access point to company knowledge, connecting information and documents across departments. Each function accesses what it needs, with separate permissions by department, role and person.
A shared resource
The right information. For the right people.
Sharing follows clear rules: common content, restricted areas and cross-department collaboration only where authorised. AI agents also respect the access boundaries of the person using them.
Example boundaries to configure. Permissions, updates and revocations are checked in AI search as well as in connected documents.
03 / Possibilities by sector
Your sector.
A starting point.
Four scenarios to develop together, based on the processes and software actually in place. These are proposed solutions, not case studies of our references.
Real estate
A clear path for every enquiry.
An assistant that collects enquiries, checks available properties and prepares the work of the real estate agent.
- Inputs
- Portal enquiries, emails and conversations; contact and property records in the CRM.
- The agent prepares
- Identifies the property, collects preferences and timing, prepares a summary and suggests the next contact.
- The person decides
- The consultant handles exceptions, confirms appointments and manages negotiations.
Integrations and first project
Systems to connect
Real estate CRM, portals through authorised channels, email, calendar and business messaging. Apimo and Superchat are examples of platforms with documented APIs.
First project: collect and summarise enquiries from one channel, with human handover and CRM updates.
Measure: time to first handling, record completeness, duplicates and corrections needed.
Insurance
Fewer steps. More attention to the client.
Operational support for organising documents, deadlines and requests, alongside the people who know the client.
- Inputs
- Emails, attachments, policy deadlines and information held in the agency management system.
- The agent prepares
- Classifies documents, flags missing information and prepares tasks, summaries and draft reminders.
- The person decides
- The intermediary checks coverage and communications. Advice, underwriting and claims decisions remain with qualified people.
Integrations and first project
Systems to connect
Insurance management software, document archive, email and calendar. Access to insurer portals must be verified with each provider.
First project: an internal assistant for files and deadlines, linking to the original document and producing drafts for approval.
Measure: case preparation time, missing documents and the proportion of drafts corrected by an operator.
Pharmacy
More time at the counter. More order behind it.
AI and automation for organisational work: service requests, documents and inventory information.
- Inputs
- Bookings, internal procedures, supplier documents and inventory data made available by the management system.
- The agent prepares
- Organises requests and appointments, flags document discrepancies and prepares inventory and expiry summaries.
- The person decides
- The pharmacist retains control over dispensing, health advice and orders. Health data requires a dedicated data boundary.
Integrations and first project
Systems to connect
Pharmacy management software, service calendar and supplier data flows, through authorised interfaces. We first assess the features already available in the software.
First project: handling organisational requests and an internal procedure assistant, with staff handover when needed.
Measure: requests handled, administrative time per request and manual handoffs.
Auto parts and accessories
From the requested part to a quotation.
An assistant that connects enquiries, licensed catalogues and availability to prepare verifiable offers.
- Inputs
- Parts enquiries, vehicle data, product codes, price lists and stock availability.
- The agent prepares
- Collects missing information, queries the catalogue and prepares a proposal using codes, prices and availability from the systems.
- The person decides
- A staff member confirms fitment, terms and the order. Uncertain part numbers or matches are flagged, never invented.
Integrations and first project
Systems to connect
Management software, inventory, supplier price lists and parts catalogues. TecDoc and TecCom are examples of services to assess with dedicated licences and access.
First project: quotation preparation for one parts category, with final operator review.
Measure: quotation preparation time, incomplete enquiries and fitment corrections.
An integration needs verification.
Access, licences, data quality and available features vary between systems. We verify feasibility before defining the solution and measure the pilot before expanding it.
The basis for these proposals
Scenarios informed by vendor documentation and sector guidance. Named platforms are technology examples, not declared partnerships or certified compatibility. Research updated on 18 September 2026.
04 / Infrastructure
The foundations of your AI.
Software meets the right architecture. Base and Pro define where processing takes place; connections to external services retain their own data flows.
01 / Hybrid infrastructure
Simplia Base
A local gateway connects your business to a private AI cloud environment. Processing capacity is provided on a pay-per-use basis.
- Gateway on your premises
- AI processing in the private cloud
- Consumption-based usage
- Sized for your first use case
A fit if you want to start without installing an on-site GPU server. Data required for processing may be sent to the private cloud: flows and terms must be defined in the project.
Simplia Base · hybrid architecture
Your businessData and applications
Local gatewayAccess to AI
Private AI cloudPay-per-use computing
Conceptual diagram. Configuration and flows are defined for each project.
02 / On-premises infrastructure
Simplia Pro
A GPU-equipped server installed on your premises, sized to run AI workloads in your environment. Computing capacity stays close to your data and business systems.
- On-premises GPU server
- Processing within your business environment
- Hardware sized for expected workloads
- Infrastructure evolution planned for your project
A fit when you need local resources and greater operational control. External connections, maintenance and access arrangements are agreed during project design.
Simplia Pro · on-premises architecture
Your businessData and applications
On-premises GPU serverLocal processing
AI applicationsIn your environment
Conceptual diagram. Configuration and flows are defined for each project.
Find your
starting point.
The choice depends on data, volumes and operational requirements. This comparison helps you find your way.
| Architecture comparison | Simplia Base | Simplia Pro |
|---|---|---|
| On your premises | Local gateway | GPU server |
| AI processing | Private cloud | On-premises infrastructure |
| Commercial model | Pay-per-use private AI cloud; gateway and services quoted separately | Hardware, configuration and services quoted individually |
| Capacity | Sized around consumption and available resources | Sized around GPUs and expected workloads |
| A good starting point for | Initial projects and variable usage | Local workloads and infrastructure control requirements |
Configuration, costs, service levels and data flows are defined in the individual proposal.
Your next AI.
On your terms.
We start with your processes, your data and your goals.