Technical Demo | Aigentiq

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 →

Get A Demo

Stateful. Secure. Scalable.

Most AI demos show you a prototype. This one shows you integration.

In a 45-minute session led by Aigentiq engineers, your architecture team will see exactly how our orchestration layer can connect autonomous agents to your ERP, CRM, and internal APIs without replacing what you've already built.

Inside the Aigentiq AI architecture that cut Average Handling Time by 50%, handles undocumented edge cases, and processes 360,000 monthly calls.

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Real Outcomes. Zero Hype.

When a top European energy utility needed to scale its customer service operations, they deployed Aigentiq’s orchestration platform. We partnered with their digital transformation team to build an adaptive, agentic architecture. The results:

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68% of complex service requests fully automated without human intervention

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50% reduction in Average Handling Time (AHT)

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Hundreds of thousands of monthly interactions orchestrated seamlessly across legacy CRM and billing systems

Trusted by European enterprise leaders. Governed for global scale.

A Working System. Not a Deck.

We run a live multi-agent environment during every session. Your team sees real execution: agents chaining tasks, handling edge cases, and maintaining state across a hybrid stack, with every action logged.

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.

Your integration patterns

We map our architecture directly to your CRM, billing. ERP, and data warehouse. You leave knowing what connects cleanly and what needs refactoring before you scale.

Deterministic guardrails in practice

We show you how we prevent hallucinated actions: hybrid control logic where LLMs handle reasoning and hard-coded permissions govern real-world execution, with Human-in-the-Loop triggers for critical workflows.

Deterministic guardrails in practice

Enterprise observability

End-to-end, per-agent KPIs, token visibility, RBAC, data boundary enforcement, and immutable audit logs. Every action the agent takes is fully traceable.

Enterprise observability

End-to-end, per-agent KPIs, token visibility, RBAC, data boundary enforcement, and immutable audit logs. Every action the agent takes is fully traceable.

Building an LLM Wrapper Is a Weekend Project. This Is Not.

We built Aigentiq to solve the hardest parts so your team doesn't start from scratch.

Multi-agent orchestration requires a different engineering discipline entirely

Agents need to share context, handle undocumented edge cases, maintain state across hybrid IT/OT environments, and execute against real systems, not mock data.

Edge case handling that actually works

Hybrid deterministic/probabilistic routing handles off-script interactions without the logic-tree failures common in legacy cloud telephony.

Seamless integration via MCP

Supervisor agents query the Model Context Protocol to pull data securely from billing systems, smart meter networks, and complex databases — dynamically, with scoped and logged access. No static credentials.

Governance from day one

Hallucination mitigation, data boundary limits, and immutable audit trails are built into the architecture. Not bolted on after deployment.

Building an LLM Wrapper Is a Weekend Project. This Is Not.

We built Aigentiq to solve the hardest parts so your team doesn't start from scratch.

Multi-agent orchestration requires a different engineering discipline entirely

Agents need to share context, handle undocumented edge cases, maintain state across hybrid IT/OT environments, and execute against real systems, not mock data.

Edge case handling that actually works

Hybrid deterministic/probabilistic routing handles off-script interactions without the logic-tree failures common in legacy cloud telephony.

Seamless integration via MCP

Governance from day one

Hallucination mitigation, data boundary limits, and immutable audit trails are built into the architecture. Not bolted on after deployment.

Your Next Steps.
Defined Before You Leave.

The demo is structured to give your team concrete outputs

Book Your Technical Demo

Your AI Readiness Score

Get an honest assessment of your API maturity, data infrastructure, compliance posture, and organisational readiness

An Honest Implementation Picture

Realistic timelines, effort estimates, and a plain account of what your team needs to build, configure, and maintain. No surprises after the contract is signed.

Answers to your Hardest Architecture Questions

Bring your edge cases. How do agents handle a failed API call? What happens when a model is updated mid workflow? We go where the conversation takes us.

A Stack Assessment You Can Act On

You leave knowing which of your systems are agent ready today, which need hardening, and the critical path to get your first workflow into production.

Frequently Asked Questions

How do Aigentiq agents authenticate with our internal APIs?

Via the Model Context Protocol. Agents don't hold static credentials. The orchestration layer brokers secure, scoped, and logged access to your REST and GraphQL endpoints and databases — so your security team has full visibility.

Can Aigentiq connect to legacy and on-premise systems?

How do you prevent agents from hallucinating actions?