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

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

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

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Cross‑Industry Use Cases

The Agentic AI Management
Platform for Enterprise

Build, deploy, orchestrate, and govern your entire agentic AI workforce across every system, model, and environment. Design your own agents or deploy pre-built ones. You bring the data and access; Aigentiq gets you to results, fast.

Your Ecosystem. Your Rules.
Integrated at AI Speed.

Aigentiq fits the stack you already run, with no rip and replace. Technical teams connect through standard protocols, MCP, REST, SOAP, GraphQL, webhooks, and SAP BAPI/RFC and OData connectors, so any ERP, CRM, legacy system, data lake, or custom API is reachable. The platform then uses AI to do most of the integration work, turning what normally takes teams weeks into hours. Point it at a system and it automatically:

Reads your internal API documentation and metadata to map each endpoint

Generates standardised MCP configurations and tool schemas for your APIs

Validates each tool with automated test calls and annotates the business logic

Exposes the tools for agents to call, with per-tool access controls you set

Your Ecosystem. Your Rules.
Integrated at AI Speed.

Reads your internal API documentation and metadata to map each endpoint

Generates standardised MCP configurations and tool schemas for your APIs

Validates each tool with automated test calls and annotates the business logic

Exposes the tools for agents to call, with per-tool access controls you set

A unified agentic AI layer for your enterprise: Platform Architecture

User Engagement & Channels

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

The front door of the AMP. Customers and internal users reach you across every channel, and agents engage natively in all of them, resolving requests in-channel. Multi-agent orchestration coordinates the whole conversation through one brain, across every channel at once.

Universal Integration Hub

REST · SOAP · GraphQL · Webhooks · Legacy System Wrappers

The tooling layer. Agents connect to any backend, SAP, Salesforce, ServiceNow, Guidewire, Epic, mainframes, operational data lakes, and custom APIs, as governed MCP tools. Aigentiq uses AI to accelerate enterprise integration, building MCP servers from your API documentation in hours.

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 of agentic AI orchestration. Many specialised agents collaborate on multi-step workflows, reasoning through complexity. Foundation models (GPT-4, Claude, Llama, and others) run through model-agnostic switching, RAG retrieves verified enterprise knowledge, and a library of agent templates accelerates 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

The AI agent governance and observability dashboard. Every agent decision, API call, and state change is logged immutably, with real-time observability tracking agent behaviour and drift. AI usage and cost reporting by tenant, service, and model shows exactly what you spend and where value accrues.

MCP & Runtime

Model-Agnostic Switching · Agent Lifecycle Management · Sandbox Environment

The runtime layer. Agents stay free of single-model or single-vendor lock-in: switch, test, and deploy across foundation models without re-engineering workflows. Sandbox environments allow safe testing before production, with full agent 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

The secure execution layer. Agents act inside your systems through governed API calls and MCP servers, with role-based access and adjustable autonomy: raise autonomy for low-risk tasks, require human-in-the-loop approval for high-stakes decisions. Pre-engineered prompt templates tune 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.

Aigentiq is the AI Agent Management Platform with deep, native SAP integration. For SAP environments, it 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

AI agents query, validate, and complete SAP workflows within your exact authorisation structures, so SAP automation runs under the controls you already enforce.

Beyond SAP

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

As an AI Agent Management Platform, Aigentiq governs and orchestrates agents across your whole stack, not just SAP: 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-generated MCP servers and tool schemas

Agent orchestration

Fully managed orchestration engine, RBAC, audit trails, and HITL

Cost model

Use-case-based pricing. ROI-aligned from the first 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 architecture, integration model, and enterprise governance layer, built for complex, multi-system environments.

Book a Technical Demonstration

Frequently Asked Questions

What is an AI Agent Management Platform?

An AI Agent Management Platform (AMP) is a single control layer that builds, deploys, orchestrates, and governs many AI agents across the enterprise, whatever systems or models they run on. It coordinates specialised agents, data sources, and enterprise systems to execute complex workflows end-to-end, with the agents collaborating, reasoning through multi-step problems, and operating strictly within your governance frameworks, going well beyond a chatbot that answers questions.

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?