AI Integration Services

Wire AI into the systems you already run — no rip and replace

We connect LLMs, copilots and automation into your ERP, CRM and legacy stack over real APIs, so AI works inside your existing workflows instead of sitting next to them.

  • Connect a customer-support LLM into an existing Zendesk or Salesforce queue
  • Integrate ChatGPT-style search into an internal knowledge base or intranet
  • Automate approvals and ticket creation from AI-extracted document data
  • Bridge a legacy on-prem system to a modern AI layer without migrating it
AI Integration Live
6 wkaverage time to first production integration
Capabilities
ERP & CRM Integration
API & Middleware Design
ChatGPT & LLM Integration
Cloud & On-Prem Bridging
◆ Capabilities

What AI Integration delivers

Production-grade ai integration, engineered and shipped by one accountable team.

ERP & CRM Integration

Native connections into Salesforce, SAP, Zoho, HubSpot and your internal systems, not brittle one-off scripts.

API & Middleware Design

Clean, versioned APIs and middleware that let AI features talk to legacy systems safely.

ChatGPT & LLM Integration

Drop OpenAI, Claude or open-weight models into existing tools — support desks, internal portals, mobile apps.

Cloud & On-Prem Bridging

Integration paths that respect data residency, whether your systems sit on-prem, in a private cloud, or hybrid.

Auth, Audit & Rate Limiting

Enterprise-grade access control, audit trails and rate limiting on every AI-connected endpoint.

Workflow Automation Hooks

AI outputs trigger real actions in your existing tools — tickets, approvals, records — not just chat replies.

◆ How we deliver

From idea to production

A transparent, low-risk path — validated on your data before you commit.

01

Systems Audit

We map your existing stack, APIs and data flows to find the safest, fastest integration points.

02

Integration Design

We design the API/middleware layer and auth model before writing code, so nothing breaks downstream.

03

Build & Test

We build the integration against a staging environment with your real data and workflows, not a demo.

04

Deploy & Monitor

We ship to production with monitoring and rollback paths, then tune performance against live usage.

◆ Use cases

Where teams put it to work

  • Connect a customer-support LLM into an existing Zendesk or Salesforce queue
  • Integrate ChatGPT-style search into an internal knowledge base or intranet
  • Automate approvals and ticket creation from AI-extracted document data
  • Bridge a legacy on-prem system to a modern AI layer without migrating it
◆ Impact

Outcomes teams actually see

6 wkto first production integration
0systems replaced — integrate, don't rebuild
24/7monitored, audited AI endpoints
50+enterprise integrations delivered
AI Integration

Frequently Asked Questions (FAQ)

Cost depends on how many systems you're connecting and their API maturity — a single well-documented integration is a matter of weeks, a multi-system enterprise integration is scoped separately. We quote a fixed price after auditing your stack, not an open-ended hourly rate.

No. Integration means connecting AI to what you already run — Salesforce, SAP, Zoho, HubSpot or a custom system — over APIs. We only recommend replacing a system if its API layer genuinely can't support integration, which is rare.

Yes — that's the most common request. We wire OpenAI, Claude, or open-weight models into your existing product, support desk or internal tools, with the guardrails and auth your enterprise needs.

We design integration paths for on-prem, private cloud and hybrid environments alike, respecting UAE data-residency requirements where they apply — this is scoped in the systems audit before any build starts.

Cost scopes to the problem, not a headcount rate card. After a free AI audit we return a fixed, itemized quote tied to clear milestones, so you know the number before any work starts.

Fixed price, tied to outcomes and scope. We don't bill open-ended hours — every engagement has a defined plan and cost agreed upfront.

Most engagements produce a working, data-validated prototype in 2–4 weeks, with full production rollout typically inside one quarter depending on scope and integration complexity.

Yes — we scope a proof of concept against your real data first, so you see measurable value before signing off on the full production build.

Security is built in by default: HIPAA, SOC 2 and GDPR-aware architecture, encryption in transit and at rest, role-based access control, and full audit logging on every deployment.

No, not without your explicit consent. Your data is used to serve your deployment — it is never used to train models for other clients.

Yes. We support private-cloud and on-premise deployments hosted within the UAE and wider GCC, so data-residency requirements are met without sending your data offshore.

Yes — for teams with strict compliance or residency requirements, we deploy self-hosted open models or private cloud infrastructure instead of public model APIs.

◆ Let's build

Ready to put AI to work in your industry?

Tell us your challenge. We'll come back with a concrete, no-obligation plan and a live demo of what's possible for your team.

  • Free AI auditWe map the highest-ROI AI opportunities across your workflows.
  • Prototype in weeksA working proof-of-concept on your real data before you commit.
  • One accountable teamStrategy, models, data and deployment — end to end.

120+ teams shipped across 6 industries

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