Integrations

AI becomes useful when it can work with the systems where business actually happens.

The integration model is different for each eSynapse Agent and for Aigent. We connect only the systems needed for the use case, under the permissions and controls appropriate to that solution.

Integration principle

Connect what the AI needs. Scope what it can access. Validate what it can change. Keep the business process in control.

eSynapse integration patterns

Each ready-made agent connects to a different part of the enterprise.

The following integration patterns reflect the actual role of each agent rather than presenting one generic logo wall.

VOICE AGENT

Telephony, CRM and customer workflow context

Voice Agent deployments can connect telephony channels with CRM, lead, ticketing, scheduling and customer-context systems. Supported telephony patterns include providers such as Twilio, Vonage, Plivo and Exotel depending on region and deployment.

TALENT AGENT

Recruitment data, communication and calendars

Talent workflows can work with job information, candidate data, calendars and recruiter communication channels to support screening, outreach, scheduling and interview progression.

BUSINESS INTELLIGENCE

Connected business applications

The Business Intelligence Agent can connect to business applications such as HubSpot, QuickBooks, Shopify, Stripe, Odoo, SharePoint, PayPal, Google Drive, Gmail, Outlook and WooCommerce.

ENTERPRISE SEARCH

Knowledge repositories

Enterprise Search is designed around authorized content sources such as SharePoint, OneDrive, Google Drive, network repositories and other enterprise document stores.

Aigent integration architecture

Systems become governed tools inside the process.

Aigent can connect to enterprise systems through APIs, MCP, databases, documents and controlled application interfaces. The important distinction is not the connector list — it is how each system is permitted and used inside the approved business process.

01

Define the system role

Is the system providing data, evidence, context or an action capability?

02

Scope access

Expose only the data, functions and records the AI service needs.

03

Place it in the process

Control when the workflow can read, compare, write or trigger an action.

04

Validate sensitive actions

Apply business rules, checks and human approval before material changes.

05

Record execution

Preserve relevant tool interactions, exceptions, approvals and outcomes.

06

Evolve the architecture

Change tools or models without redefining the business process itself.

Integration assessment

Have a system that is not listed?

We assess the available integration path, security model, data scope and business control requirements before deciding how it should participate in the AI solution.

Discuss your environment