Every founder or director knows AI and agents will become part of the company. The question is no longer if, but how.
Silvant is your AI implementation partner. We build AI agents and custom AI software around existing processes and systems.
For support, operations, finance and reporting. With integrations into CRM, ERP, ticketing, databases and the tools your team already uses.
AI that becomes part of your company.
No standalone chatbot or generic automation. We build software that performs work, uses information from existing systems and lets people decide at the right moments.
AI agents
For recurring work in support, operations and finance. Agents retrieve context, assess information and prepare actions.
For example Enriching a support request with customer and order context before a team member decides.Custom AI software
Internal tools and workflows for processes that do not fit standard software.
For example An internal workspace that collects, prioritises and assigns exceptions.Integrations
Connections to CRM, ERP, ticketing, databases and the other systems your team already uses.
For example Reading context from CRM and ERP and writing an approved action back.From signal to controlled action.
Choose a process and see which information the agent uses, which action it prepares and where a team member decides.
Handle a support request with context
The agent collects customer and order information, prepares the next action and leaves exceptions to a team member.
A customer asks about a delayed order and wants to know what happens next.
Where agents can take on real work.
Not every process needs AI. It becomes useful when information is scattered, the same judgement recurs and an action currently stalls between people and systems.
Support
High incoming volume, recurring context and clear exceptions.
- Work
- Classification, context retrieval, draft replies and routing.
- Systems
- Ticketing, CRM, ERP and knowledge bases.
- Human control
- Exceptions, commitments and customer-sensitive decisions.
Operations
Daily exceptions now solved through inboxes, exports and handoffs.
- Work
- Status monitoring, impact assessment, task routing and system updates.
- Systems
- ERP, planning, portals, ticketing and databases.
- Human control
- Changes involving cost, risk or customer impact.
Finance
Control work where the same sources and rules are checked repeatedly.
- Work
- Checks, reconciliation, case preparation and reporting.
- Systems
- ERP, accounting, documents and spreadsheets.
- Human control
- Postings, payments and exceptional treatment.
Reporting
Overviews that require data and explanations to be assembled manually.
- Work
- Retrieval, consolidation, flagging differences and explanation.
- Systems
- BI, databases, CRM, ERP and spreadsheets.
- Human control
- Definitions, interpretation and publication.
Choose first. Then build.
An AI project does not start with a model choice. It starts with a process where enough time, errors or delays make improvement worthwhile.
Process and bottlenecks recorded
DoneSystems and data sources inventoried
DoneValue, risk and owner assessed
DecisionWe do not build when process, data or ownership are still insufficiently clear.
Connect where the work already happens.
An agent only becomes useful when it can read and write in the systems your organisation already uses, with control.
These are categories, not partner or certification claims.
Customer, account and activity context
Orders, finance and operational status
Requests, ownership and history
Microsoft 365 and Google Workspace
Databases, warehouses and files
Internal and external services
Controlled into production
The agent only receives access to the information and actions required for the process.
Risky or customer-sensitive actions receive an explicit control point.
Executed, rejected and escalated actions remain traceable.
Integrations and exceptions are tested in a scoped environment before launch.
An accountable person is assigned for content, exceptions and escalation.
We monitor quality, usage and integrations as data or processes change.
There must be real work to improve.
Silvant is for organisations implementing AI in an existing process, not for a standalone demo without an owner or clear application.
- A recurring process with enough volume or impact.
- Usable data in existing systems.
- A subject owner who can make decisions.
- Users who can test with real examples.
- Only wanting a general chatbot.
- Not yet being able to identify a process or problem.
- Nobody available for decisions and testing.
Practical answers before we begin.
You should not need a sales call to understand the basics. These questions determine whether a first conversation makes sense.
An agent can retrieve information from multiple sources, make a recurring assessment, prepare or execute an action and escalate exceptions. The exact scope depends on the process, data quality and the risk of the action.
Which process deserves attention first?
In the Quickscan, we map the process, systems, data, risks and a logical first build step.
- Starting point
- One concrete process
- Output
- Improvement plan and first scope
- Next step
- Only when building makes sense