AI agents

Yes — without changing your system.

You don't need to change your system to have AI. We build on top of it.

AI agent working in the company's existing software

In short

An AI agent connects to your existing software through three pathways: API (Application Programming Interface — lets two applications communicate) / webhooks for modern applications, native connectors when available (HubSpot, Salesforce, M365 — Microsoft 365 suite, Google Workspace), or RPA (Robotic Process Automation — automating repetitive tasks usually done by a human in a program's interface) for legacy applications without an API. The agent "works in your software" — it reads, decides, and performs actions where your team already works.

  • API/webhooks for modern systems
  • Native connectors for popular CRM (Customer Relationship Management) / ERP (Enterprise Resource Planning) systems
  • RPA for legacy systems without an API
  • Complete audit log for all agent actions

How the agent "gets into" your software

In 95% of cases, we use API + webhooks: the agent has dedicated credentials, minimal rights, and a strict set of allowed actions. For popular CRMs, we use native connectors that simplify integration. For older ERPs without an API, an RPA layer performs the "clicks" requested by the agent.

What specific actions can it perform

Typically, the agent can:

  • Read and reply to emails from the commercial inbox
  • Create/update records in CRM with score and justification
  • Generate offers/contracts from templates + client data
  • Schedule meetings and send invitations
  • Write comments and status in ERP/ticketing

How to avoid "agent making mistakes at scale"

Three mechanisms: minimal rights (least privilege) for the agent's credentials, a confidence threshold below which it escalates to a human, and a global kill switch that instantly stops the agent. All actions are logged and reversible.

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