Multi-agent workflows
Agents that plan, call tools and complete real tasks.
Production-grade agentic AI — governed, eval-driven and human-in-the-loop
Agentic AI Solutions on Mendix for US Enterprises
US enterprises are moving past single-response chatbots to agentic AI — systems where AI agents plan and take multi-step actions across real workflows. MXTechies builds production-grade agentic AI on the Mendix low-code platform, backed by Siemens Xcelerator, with the governance, security and human oversight American organizations need to put agents into live operations.
Mendix Platinum Partner
5-day discovery
21-day production PoC
Scales to 100K users
Quick answer
What is agentic AI on Mendix?
Quick answer
Agentic AI on Mendix lets US enterprises deploy multi-agent systems that plan, call tools and complete real tasks inside governed workflows. MXTechies delivers a production proof of concept in 21 days, with human-in-the-loop approvals, RAG grounding and guardrails, all modelled inside your Mendix application under version control.
Key facts
- ✓ Service: Production-grade agentic AI on the Mendix low-code platform
- ✓ Backed by: Mendix Platinum Partner, Siemens Xcelerator
- ✓ Location: United States
- ✓ Where agents run: Modelled inside your Mendix application, under version control
- ✓ Delivery: 5-day discovery, then a 21-day production proof of concept
- ✓ Scale: Up to 100,000 users on the same platform, no rebuild
- ✓ Governance: Guardrails, evals, human-in-the-loop approvals, full observability
- ✓ Compliance: Built to GLBA, state privacy laws and sector rules
What is agentic AI on Mendix ?
Agentic AI describes systems where AI agents plan and execute multi-step tasks — calling tools, retrieving data and acting across applications — rather than returning a single answer. On Mendix, those agents are modelled as part of your application, so they are versioned, governed and deployed like any other enterprise software component.
Why US enterprises need agentic AI
American enterprises face pressure to automate complex processes without loss of control or compliance. Agentic AI handles multi-step work — triage, research, drafting, routing — while human-in-the-loop approvals keep people in command of sensitive decisions. Running agents inside Mendix keeps them auditable and integrated with core systems instead of bolted on.
What we do
Key capabilities
Function calling
Agents act on your systems through governed tools.
RAG grounding
Knowledge-graph and retrieval grounding for accurate, source-backed answers.
Human-in-the-loop
Approvals and escalation keep humans in control.
Guardrails and evals
Content filters, evaluation pipelines and monitoring at every step.
Agents in Mendix
Modelled in-app, under version control.
Business benefits
Faster automation of multi-step processes, reduced manual handling, auditable decisions, and a single platform for build, governance and scale. Because the PoC runs on real data with real users, US teams see measurable ROI before committing to a full rollout.
Security, compliance and scalability
Agents run with guardrails, audit trails and model-risk controls from day one. For US enterprises, that means agentic AI can be built to GLBA, state privacy laws and sector rules, with data residency and model choice agreed up front. Systems scale to 100,000 users on the same Mendix platform.
How delivery works
Discover. Build. Govern. Scale.
- 01
Discover
Pin the use case and the ROI hypothesis in a 5-day discovery.
- 02
Build
A production proof of concept on Mendix in 21 days, with real data and real users.
- 03
Govern
Security, audit and model risk handled from day one.
- 04
Scale
Grow on the same platform to 100,000 users, with no rebuild.
Industries
Industries we serve
- Manufacturing & AutomotiveOperational agents for quality, maintenance and supplier workflows
- Financial ServicesOnboarding, risk and audited approval agents
- InsuranceClaims triage and policy-servicing agents
- Energy & UtilitiesField operations and asset agents
- Healthcare & LogisticsDocument and workflow automation agents
FAQ
Frequently Asked Questions
What is agentic AI?
Systems where AI agents plan and take multi-step actions across tools and workflows — beyond a single chatbot response.
What is agentic AI on Mendix?
Agents modelled inside your Mendix application, under version control and governance, so they are built, deployed and scaled like any other enterprise software.
How does agentic AI work?
Agents plan a task, call governed tools to act on your systems, ground their answers in your data with RAG, and escalate to humans for approval on sensitive steps.
How do you keep AI agents safe?
Through guardrails, evaluation pipelines, human-in-the-loop approvals and full observability at every step.
Where do the agents run?
Modelled inside your Mendix application, with version control and governance, connected to your systems through governed tools and connectors.
What is retrieval-augmented generation (RAG)?
A technique that grounds a large language model in your own data at query time, improving accuracy and reducing hallucinations.
How long does an agentic AI proof of concept take?
MXTechies delivers a fixed-scope production PoC in 21 days, following a 5-day discovery to pin the use case and ROI hypothesis.
How much does an AI proof of concept cost?
It is a fixed-fee, fixed-scope 21-day production PoC; the exact figure is set after the 5-day discovery.
Is agentic AI suitable for large enterprises, and can it scale?
Yes. Systems are built for enterprise governance and scale to 100,000 users on the same Mendix platform with no rebuild.
Is agentic AI development available in the US?
Yes. MXTechies delivers agentic AI for enterprises across the United States, with data residency and compliance (GLBA, state privacy laws, sector rules) agreed up front.
How is generative AI different from traditional AI?
Traditional AI predicts or classifies; generative AI creates content and powers copilots and agents.
Ready to put agentic AI to work?
Tell us the outcome you're after. MXTechies brings the platform, the AI and the engineers who have shipped agentic AI before.