etelligensAi · Enterprise integration

Integrate AI into the systems, workflows, and experiences your business already depends on.

Connect models, agents, copilots, and machine learning services to enterprise applications, data platforms, APIs, identity, workflow engines, and customer channels without creating a disconnected AI layer.

Business-value firstSecurity & governance by designProduction engineeringMeasured adoption
Why it matters

AI adoption accelerates when intelligence is embedded into existing work instead of forcing users into separate tools.

Etelligens maps the systems, data, roles, permissions, events, actions, and operational constraints around the target workflow.

We build integration layers that can manage model providers, data access, orchestration, business rules, retries, observability, security, and version changes while keeping core applications maintainable.

The result is an AI capability that behaves like part of the enterprise architecture—with clear ownership, interfaces, monitoring, and failure handling.

Capabilities

What Etelligens delivers.

Integration can be delivered as an API layer, event-driven workflow, embedded product feature, platform service, or modernization program.

01

API & application integration

Embed AI functions into CRM, ERP, portals, mobile apps, web products, and internal systems.

02

Data platform connectivity

Connect warehouses, lakes, operational stores, vector databases, search, and streaming sources.

03

Identity & permissions

Apply authentication, authorization, tenant boundaries, role-aware context, and data access policies.

04

Model gateway & routing

Abstract providers, manage keys and policies, route tasks, and support model changes without rewriting applications.

05

Workflow orchestration

Combine AI outputs with business rules, queues, approvals, notifications, and deterministic services.

06

Observability & resilience

Monitor performance, errors, model calls, cost, data flows, retries, fallbacks, and service-level behavior.

Enterprise use cases

Where this capability creates value.

Integration creates value by moving AI from an isolated interface into the point where decisions and actions already happen.

01

CRM & service platforms

Surface recommendations, summaries, next-best actions, and knowledge inside agent workflows.

02

ERP & operations

Automate classification, exception handling, planning inputs, and operational decision support.

03

Digital products

Embed search, recommendations, assistants, content intelligence, and predictive features into customer experiences.

04

Data & analytics

Connect predictive and generative capabilities to governed data products, dashboards, and decision workflows.

Delivery model

From opportunity to reliable production.

Our multidisciplinary team connects product strategy, data, AI engineering, application integration, security, quality engineering, and change management.

01

Map

Document systems, data contracts, users, workflows, security boundaries, and non-functional requirements.

02

Architect

Select interfaces, orchestration, model abstraction, identity, data access, observability, and fallback patterns.

03

Build

Implement services, adapters, workflows, tests, monitoring, and environment-specific configuration.

04

Operate

Track reliability, model behavior, dependencies, cost, and usage while supporting controlled evolution.

Connect AI to the systems and workflows where it can create measurable value.

Talk to our AI team