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IDS Solutions
ENTERPRISE INTEGRATION · AI PLATFORM

Enterprise AI Systems Integration

Connect AI Agents, RAG, and automation with the enterprise systems your business already runs on.

IDS Software integrates AI safely into CRM, ERP, helpdesk platforms, internal portals, APIs, databases, and operational workflows — with identity-aware access, audit logs, and the governance enterprise environments require.

Move beyond demos that never reach customers. Ship AI that lives inside the systems your team works in every day.

Book a free AI AuditTalk to our AI team
Systems we integrate withSalesforce · SAP · Oracle · NetSuite · Zendesk · ServiceNow · APIs
Integration Topology
Q2 · live integrations
LIVE
Systems integrated
enterprise
14
API uptime
+0.4
99.97%
Auth events / day
audited
48k
Data flow latency
-32%
84 ms
Active connections
Salesforce
SAP ERP
Zendesk
Workday
SharePoint
ServiceNow
Postgres
Slack
Internal API
Identity
SSO · OAuth · service accounts
Audit
Every action · 90d retention
11+
years enterprise experience
200+
projects delivered
10+
countries served
2023
enterprise AI focus since
The problem

AI without integration rarely creates measurable business outcomes

Modern enterprise AI needs to read context, retrieve knowledge, take action — across the systems your business already runs on. Standalone AI is a missed integration.

#01

AI tools cannot access enterprise data

Demos run on uploaded PDFs. Production AI needs identity-aware access to your real CRM, ERP, and operational systems.

#02

Systems remain disconnected

Each tool a silo. AI experiments live outside the systems where the work actually happens.

#03

Workflows still require manual coordination

Even with AI, employees move data between systems. The agent answers, the human still does the integration.

#04

Operational visibility is fragmented

Six dashboards for six systems. No single trusted view of what AI is actually doing in production.

#05

AI cannot trigger business workflows

Read-only AI is a limited AI. Real impact requires permission to take action — under governance.

#06

Security and governance concerns block adoption

Without identity, audit, and RBAC, security teams (rightly) refuse to plug AI into anything sensitive.

#07

AI outputs remain outside operational systems

AI suggestions in Slack screenshots. The actual systems of record stay untouched. Adoption stalls.

The shift

Operational AI that lives inside your enterprise stack

We don't replace your tools. We make AI participate inside them — with the auth, audit, and governance enterprise environments require.

Today

Manual ops
  • AI tools disconnected from enterprise systems
  • Manual data transfer between platforms
  • Workflows fragmented across stacks
  • AI cannot execute real business actions
  • No identity or audit awareness
  • Pilots that never reach production
— operationalize AI —

With IDS

AI ops
  • AI operates inside enterprise workflows
  • AI Agents authenticated against your IdP
  • Connected workflows across all systems
  • Real-time data flow with auth & audit
  • Permission-aware actions, every call logged
  • AI initiatives scale into measurable production
Core solutions

A productized AI integration platform

Five integration layers, designed to be deployed independently or stitched into one enterprise AI fabric.

Most adopted
01 · AGENTS

AI Agent Integration Layer

The orchestration layer that lets AI Agents act inside enterprise systems.

  • Tool surfaces for CRM/ERP/helpdesk
  • Identity-aware action execution
  • Multi-step orchestration
  • Human-in-the-loop boundaries
  • Per-action audit logs
  • Exception escalation
Agent action · trace
  1. 01Agent intent · "update Acme renewal date"
  2. 02Auth check · user OK · Salesforce write scope ✓
  3. 03Salesforce.Opportunity.update(id, renewalDate)
  4. 04Success · audit log #a8821 · synced to BI
Module · standalone or composableDiscuss this module
02 · CRM & ERP

CRM & ERP AI Integration

Embed AI directly into the systems your revenue and ops teams live in.

  • Salesforce · HubSpot · Dynamics
  • SAP · Oracle · NetSuite
  • Native field-level integration
  • Workflow trigger hooks
  • Bidirectional sync
  • SOC2-grade controls
Integration health · live
Salesforce↔ 42ms
SAP ERP↔ 128ms
NetSuite→ 88ms
Workday← 64ms
Module · standalone or composableDiscuss this module
03 · KNOWLEDGE

Enterprise RAG Integration

Connect retrieval across SharePoint, Confluence, CRM, and beyond.

  • SharePoint · Confluence · Drive
  • CRM notes · helpdesk KB
  • Custom data sources
  • Permission inheritance
  • Continuous indexing
  • Eval pipelines per source
Sources indexed · permission-aware
  • SharePoint128k docs
  • Confluence42k pages
  • CRM notes94k records
  • Helpdesk KB8.4k articles
Module · standalone or composableDiscuss this module
04 · WORKFLOWS

Workflow & Automation Orchestration

AI orchestration across multi-step workflows and human approvals.

  • Multi-system orchestration
  • Approval routing
  • Exception handling
  • Notification fan-out
  • Reporting integration
  • Cloud-native execution
Orchestrated workflow · expense approval
Submit
Web
Validate
AI
Route
Workday
Approve
Manager
Post
NetSuite
Avg execution: 12 min · audit log per step · exception path defined
Module · standalone or composableDiscuss this module
05 · HELPDESK

Helpdesk & Customer Operations

AI inside the support systems your CX team already operates.

  • Zendesk · Freshdesk · Intercom
  • Salesforce Service Cloud
  • AI ticket triage
  • Agent Assist
  • Knowledge retrieval
  • SLA monitoring
Helpdesk integrations · live
Zendesk1,248 / day
Freshdesk418 / day
Salesforce Service892 / day
Internal portal224 / day
AI Agent + Agent Assist active · CSAT +0.4 across all platforms
Module · standalone or composableDiscuss this module
KPI impact

AI tied to measurable integration and operational KPIs

Indicative directional impact observed across IDS AI integration engagements. Every engagement starts by selecting the KPIs the AI must move and baselining before launch.

+62%
Workflow efficiency
Across integrated processes
+71%
Automation coverage
Of integration touchpoints
+48%
System adoption rate
AI-assisted users
−54%
Cross-system latency
Data flow median
99.97%
Integration reliability
API uptime
−68%
Manual coordination
Hours saved / week
+5x
AI utilization
Inside integrated systems
−72%
Time to deploy new integration
Vs custom-built

Range varies by engagement, baseline maturity, and scope. Numbers above are illustrative.

Industries

Built for enterprise IT and integration teams

Patterns repeat across industries — we adapt the integration architecture, not the engineering discipline.

B2B services
SaaS
Manufacturing
Real estate
Healthcare
Education
Financial services
Retail & distribution
How we work

Enterprise AI implementation grounded in real systems architecture

01

Enterprise Systems Audit

Map your CRM, ERP, helpdesk, APIs, identity, and workflow architecture.

02

AI Integration Opportunity Assessment

Identify where AI integrations create measurable operational improvements.

03

Architecture & Security Review

Assess permissions, APIs, authentication, infrastructure, and governance requirements.

04

AI Integration Architecture & Implementation

Build secure integration layers, orchestration pipelines, and AI Agent connectivity.

05

Pilot Deployment

Ship one production-ready integration with security review, governance, and KPI tracking.

06

Monitoring & Optimization

Track integration reliability, AI performance, operational KPIs, and system health.

Why IDS Software

Enterprise engineering discipline applied to AI integration

We are an engineering company that does AI — not an AI company that happens to write code. The difference shows up in how we scope, build, ship, and operate enterprise integrations.

Book a free AI Audit

  • Enterprise software engineering background

    A decade of shipping production enterprise systems before AI was the work. The discipline shows up in everything we build.

  • Workflow-first implementation mindset

    We start from the workflow you want to improve, not the model you want to use. Architecture follows operational fit.

  • AI Agents + systems integration expertise

    Building agents that act inside CRM, ERP, helpdesk — with auth, audit, and exception handling.

  • Operational AI focus

    Production-grade systems that move KPIs quarter after quarter. Not pilots that never reach customers.

  • Enterprise-grade governance

    RBAC, audit logs, escalation paths, and compliance baked in from day one.

  • Long-term implementation partnership

    A single partner across AI Audit → First Pilot → Enterprise Rollout. We stay through the maturity curve.

Enterprise AI Stack

One AI orchestration fabric across your enterprise stack

We don't replace your tools. We orchestrate intelligence across them — with the governance enterprise environments require.

CRM

Salesforce · HubSpot · Zoho · Dynamics

Marketing platforms

Marketo · HubSpot · Mailchimp

Customer support

Zendesk · Intercom · Freshdesk

Analytics

Warehouse · BI · Product telemetry

IDS · Orchestration Layer
AI Agents · Retrieval · Governance · Observability
Identity & RBACAudit logsEval pipelinesHuman-in-the-loop
AI Agents

Operations · sales · support agents

Enterprise RAG

Permission-aware retrieval

Workflow automation

Approvals · routing · orchestration

APIs & integrations

Auth · audit · monitoring

Stitched together with auth, audit, monitoring, and the operational governance enterprise environments require.

Get started

Ready to connect AI with your enterprise systems?

Start with a practical AI Audit focused on your CRM, ERP, APIs, workflows, security architecture, and measurable operational KPIs.

  • 4-week paid audit
  • Prioritized opportunity map
  • KPI-grounded roadmap
Book a free AI AuditTalk to our AI team