Connecting Intelligence to the Systems That Run Your Business

Enterprise AI Integration

Bring AI into the heart of your infrastructure.

Trusted by global partners, startups and enterprises

AI integrated into your enterprise systems
is transformation

We connect AI securely into your CRMs, ERPs, data platforms and legacy systems — ensuring that intelligent automation works where your business actually operates.

No rip-and-replace. No shadow IT. Just seamless integration with full compliance, traceability and enterprise-grade security powered by IBM technology.

Why It Matters

Your enterprise runs on systems that weren't built for AI.

CRMs hold your customer relationships. ERPs manage your operations. Legacy databases store decades of institutional knowledge.

These systems aren't going anywhere — and they shouldn't have to.

But most AI implementations fail at the integration point:

• Data silos that AI can't access

• Security policies that block AI connectivity

• Legacy APIs that modern AI tools can't speak to

• Compliance requirements that weren't designed for autonomous agents

Enterprise AI Integration solves this:

• AI that reads and writes to your existing systems in real-time

• Security-first architecture that satisfies IT, legal and compliance

• Legacy adapters that bridge decades-old systems to modern AI

• Audit trails that document every AI action for governance

The question isn't whether to adopt AI. It's how to integrate it without breaking what works.

Our Approach

We integrate AI into enterprise environments using a principle we call Infrastructure-Native Intelligence — where AI becomes part of your existing ecosystem, not a parallel system competing for attention.

Three pillars define our methodology:

Connect, Don't Replace

We map your current architecture and build AI integration points that enhance existing systems. Your team keeps working in familiar tools; AI works alongside them invisibly.

Security as Foundation

Every integration starts with security architecture review. We design for your compliance requirements (ISO, SOC 2, HIPAA, GDPR) from day one — not as an afterthought.

Governed Autonomy

AI agents operate within defined boundaries. We implement permission models, action limits and human approval workflows that give you control over what AI can access and do.

Industries Using Enterprise AI Integration

A national financial institution connected 60+ fintech partners through one secure AI-enabled platform.

Finance

Insurance

Healthcare

Retail

Manufacturing

Government

KPIs

70^%

faster AI-to-production deployment through pre-built connectors

3x^faster

faster partner and system onboarding

ZERO^%

shadow IT — all AI operates within governed infrastructure

100^%

compliance with enterprise security and audit requirements

REAL TIME

data synchronization across connected systems

Key Capabilities

CRM & Sales System Integration

We connect AI agents to Salesforce, HubSpot, Microsoft Dynamics and custom CRMs — enabling intelligent lead scoring, automated follow-ups, conversation logging and real-time customer insights.Example: AI agent that automatically enriches leads, logs all customer interactions, suggests next best actions and updates opportunity stages based on email sentiment analysis.

ERP & Operations Integration

We integrate AI into SAP, Oracle, NetSuite and other ERP systems — automating purchase orders, inventory decisions, financial reconciliation and operational workflows.Example: AI-powered procurement agent that monitors inventory levels, predicts demand, generates purchase orders and routes approvals through existing ERP workflows.

Legacy System Modernization

We build intelligent adapters that connect modern AI to legacy databases, mainframes and proprietary systems — without requiring system replacement or major refactoring.Example: AI layer connecting 30-year-old insurance policy database to modern claims processing agents — reading legacy formats, writing back in compatible structures.

Data Platform & Analytics Integration

We connect AI to your data infrastructure — Snowflake, Databricks, BigQuery, data lakes and BI tools — enabling intelligent querying, automated reporting and predictive analytics.Example: Natural language interface to enterprise data warehouse — executives ask questions in plain English, AI generates SQL, retrieves data and visualizes insights.

Identity & Access Management (IAM) Integration

We implement AI-specific identity management — defining what AI agents can access, what actions they can perform and how they authenticate across your system landscape.Example: Role-based AI permissions where customer service agents can read and update tickets but cannot access financial systems or modify contracts.

API Gateway & Security Layer

We build secure API gateways that mediate all AI-to-system communication — enforcing rate limits, logging transactions, encrypting data and enabling kill switches when needed.Example: Centralized API gateway through which all AI agents communicate with enterprise systems — with real-time monitoring, anomaly detection and instant revocation capability.

What could your systems achieve together?

A healthcare network connected patients, doctors and clinics through one intelligent agent ecosystem.

Expert Playbook

When to Use

AI initiatives stalled by IT security reviews or compliance concerns.
Critical business data locked in systems AI can't access.
Legacy infrastructure that modern AI tools can't connect to.
Need for audit trails and governance over AI actions.
Scaling AI from pilot to enterprise-wide deployment.

Not a Fit If

No existing enterprise systems (startups building from scratch — different approach).
Organization not ready to grant AI any system access (cultural, not technical).
Looking for standalone AI tools without integration requirements.
Systems have no API or data export capability whatsoever (rare but possible).

Integration Patterns

Read-Only Intelligence

AI analyzes enterprise data but doesn't modify systems. Best for: analytics, recommendations, monitoring. Lowest risk.

Supervised Write-Back

AI prepares actions, human approves, system updates. Best for: high-stakes processes, regulated environments.

Autonomous Operation

AI reads, decides and writes within defined boundaries. Best for: high-volume, low-risk processes with clear rules.

Hybrid Governance

Different permission levels for different action types. Best for: complex enterprises with varied risk profiles.

Implementation Path

Discover2–3 weeks

Audit systems, map data flows, assess security requirements

Design3–4 weeks

Define integration architecture, permission models and compliance framework

Develop4–8 weeks

Develop connectors, implement security layer, configure governance

Deploy & Monitorongoing

Launch with observability, audit logging and continuous compliance verification

Field Notes

Real World Evidence

0 ^{security incidents}

Isracard

Built a secure API developer portal enabling 60+ fintech partners to integrate with Isracard's financial infrastructure. Full ISO 27001 compliance, role-based access control and real-time transaction monitoring — with zero security incidents since launch.

100 ^{% system uptime}

Tel Aviv Stock Exchange

Developed a dynamic API marketplace connecting businesses directly to exchange services through secure APIs. Integrated CRM, payment systems and partner management into unified infrastructure — achieving 3× faster partner onboarding, <50ms API latency and 100% system uptime.

70 ^{% faster onboarding}

Menora Mivtachim

Created an Open Finance API platform with sandbox simulation, compliance-by-design frameworks and AI-driven developer tools. Enterprise integration layer enables 70% faster onboarding, 100% regulatory compliance and real-time data exchange with financial partners.

$100 ^M

DataBand → IBM

Designed enterprise data integration architecture connecting disparate data sources into unified observability platform. Advanced visualization and monitoring capabilities contributed to $100M acquisition by IBM — demonstrating enterprise-grade integration value.

Security & Compliance

Compliance frameworks — pre-built controls for ISO 27001, SOC 2, GDPR, HIPAA, PCI-DSS

Enterprise-grade encryption — data protected in transit, at rest and in processing

IAM integration — AI agents authenticate through your existing identity infrastructure

Network isolation — AI workloads run in isolated environments with controlled egress

Audit-ready logging — every AI action documented for regulatory review

IBM Cloud Security — leveraging IBM's enterprise security infrastructure and certifications