Agentiq recognized in the 2025 Gartner® AI Vendor Race: Essential AI Services for Oil and Gas →

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Agentiq recognized in the 2025 Gartner® AI Vendor Race: Essential AI Services for Oil and Gas →

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Cross‑Industry Use Cases

The Aigentic AI Orchestration
Platform for Enterprise

Aigentiq is a modern, cloud-native orchestration layer that sits securely on top of your existing IT landscape. Our platform coordinates foundation models, predictive analytics, enterprise tools and APIs into goal-oriented agents that act across multiple business units.

Your Ecosystem. Your Rules.
Integrated at AI Speed.

Aigentiq doesn't require a "rip and replace." Our platform uses AI to actively accelerate its own integration into your backend. The platform automatically:

Reads your internal API documentation and metadata

Generates standardised Machine Control Protocols (MCPs) and suggests tool schemas

Validates via automated test calls, response validation, and auto-annotation with business logic.

Creates reusable action blocks, drastically compressing time-to-market

Your Ecosystem. Your Rules.
Integrated at AI Speed.

Aigentiq doesn't require a "rip and replace." Our platform uses AI to actively accelerate its own integration into your backend. The platform automatically:

Reads your internal API documentation and metadata

Generates standardised Machine Control Protocols (MCPs) and suggests tool schemas

Validates via automated test calls, response validation, and auto-annotation with business logic.

Creates reusable action blocks, drastically compressing time-to-market

A Unified Agentic AI Layer for Your Enterprise: Platform Architecture

User Engagement & Channels

Chat · Voice/IVR · Email · OCR (Document Services)

Your customers and internal users reach you across every channel. Aigentiq agents engage natively across all of them, resolving requests in-channel, not routing them to a queue. Omnichannel intake, single orchestration brain.

Universal Integration Hub

REST · SOAP · GraphQL · Webhooks · Legacy System Wrappers

Agents connect directly to your backend — SAP, Salesforce, ServiceNow, Guidewire, Epic, mainframes, operational data lakes, and custom APIs. No integration is off-limits. And unlike conventional middleware, Aigentiq uses AI to accelerate its own integration.

Universal Integration Hub

REST · SOAP · GraphQL · Webhooks · Legacy System Wrappers

Agentic Orchestration Engine

RAG & Knowledge Base · LLM Layer · Agent Templates · Agent Management & Runtime

The core. Multiple specialised agents collaborate on multi-step workflows — reasoning through complexity, not following scripts. Foundation models (GPT-4, Claude, Llama, and others) are orchestrated via model-agnostic switching. RAG retrieves verified enterprise knowledge. Agent templates accelerate deployment for common industry workflows.

Agentic Orchestration Engine

RAG & Knowledge Base · LLM Layer · Agent Templates · Agent Management & Runtime

Governance, Audit & Reporting

Audit Logs · Session Memory · AI Usage & Cost Reporting · Agent Lifecycle Logs

Every agent decision, API call, and state change is logged immutably. Real-time observability tracks agent behaviour and drift. AI usage and cost reporting by tenant, service, and model — so you know exactly what you're spending and where value accrues.

MCP & Runtime

Model-Agnostic Switching · Agent Lifecycle Management · Sandbox Environment

Agents are not locked to a single model or vendor. Switch, test, and deploy across foundation models without re-engineering workflows. Sandbox environments allow safe testing before production. Full lifecycle management from creation to retirement.

MCP & Runtime

Model-Agnostic Switching · Agent Lifecycle Management · Sandbox Environment

Action & Tool Execution

Human-in-the-Loop (HITL) · Core Prompts · APIs · MCP Servers · Tools/Actions API

This is where agents act — executing tasks inside your systems via secure API calls and MCP servers. Autonomy and confidence thresholds are adjustable: dial up autonomy for low-risk tasks, enforce human approval for high-stakes decisions. Pre-engineered prompt templates customise agent behaviour per use case.

Action & Tool Execution

Human-in-the-Loop (HITL) · Core Prompts · APIs · MCP Servers · Tools/Actions API

SAP Specialists. System-Agnostic by Design

For SAP environments, Aigentiq provides:

•

SAP BAPI / RFC connectors for real-time transactional actions

•

OData / REST integrations for SAP S/4HANA

•

SAP BTP extension layers for custom logic

•

Event Mesh subscriptions for proactive agent triggers

Agents query, validate, and complete SAP workflows based on your exact authorisation structures.

Beyond SAP

Agentiq recognized in the 2025 Gartner® AI Vendor Race: Essential AI Services for Oil and Gas

Aigentiq integrates with any ERP (Oracle, Microsoft Dynamics, Infor), CRM (Salesforce, HubSpot, Microsoft Dynamics 365), legacy BSS/OSS platforms, industrial data lakes, operational systems (Guidewire, Epic), and ticketing platforms (ServiceNow, Zendesk). No system is excluded.

Built for ROI not Headcount

We don't charge per seat. Aigentiq is priced by use case and value delivered, so your cost scales with outcomes, not user count.

Stop buying software seats and transform your business with goal-driven software. Invest in strategic outcomes where AI agents drive measurable business impact across the value chain.

Talk To Us About Your Specific Use Cases

Use-Case-Based Licensing

Pay for what the platform resolves, not how many people log in

ROI-Aligned Deployment 

Pricing structured around measurable operational impact

No Seat-Based Traps

Designed for enterprise-wide rollout without linear cost scaling

Use-Case-Based Licensing

Pay for what the platform resolves, not how many people log in

ROI-Aligned Deployment 

Pricing structured around measurable operational impact

No Seat-Based Traps

Designed for enterprise-wide rollout without linear cost scaling

Use-Case-Based Licensing

Pay for what the platform resolves, not how many people log in

ROI-Aligned Deployment 

Pricing structured around measurable operational impact

No Seat-Based Traps

Designed for enterprise-wide rollout without linear cost scaling

You could build this yourself. Here's what that actually looks like.

Build In-House

Time to production

12-24 months (if it reaches production)

Governance architecture

Built from scratch. Typically an afterthought.

Integration with SAP / legacy

Custom connectors per system. Ongoing maintenance debt.

Agent orchestration

Requires dedicated ML-ops, platform-eng, and security teams

Cost model

Headcount-heavy. Unpredictable. Scales with complexity.

Risk

High. Most internal agentic projects stall at proof-of-concept.

Deploy Aigentiq

Time to production

Weeks — with domain-specific agents pre-configured

Governance architecture

C5, ISO 27001, SOC 2 Type II ready from day one

Integration with SAP / legacy

AI-accelerated integration. Auto-gen. MCPs and tool schemas.

Agent orchestration

Fully managed orchestration engine, RBAC, audit trails + HITL

Cost model

Use-case-based pricing. ROI-aligned from the 1st deployment.

Risk

Production-proven in regulated industries.

Explore the Aigentiq Platform

For Business Leaders

Get help identifying where agentic AI delivers measurable results across your operations and create a clear, realistic path to get there.

Book a Free AI Use Case Assessment

Book an AI Use Case Assessment

For Technical Leaders

Explore Aigentiq's orchestration architecture, integration model, and enterprise governance layer, built for complex, multi-system environments.

Book a Technical Demonstration

Frequently Asked Questions

What is an agentic AI orchestration platform? 

Unlike basic chatbots that simply answer questions, an orchestration platform coordinates multiple specialised AI agents, data sources, and enterprise systems to execute complex workflows end-to-end. It ensures that agents collaborate effectively, reason through multi-step problems, and operate strictly within your defined governance frameworks.

How does the Aigentiq platform work? 

Can the platform integrate with our existing legacy systems? 

How are the AI agents governed and monitored? 

Can our organisation build custom agents? 

How is Aigentiq priced? 