Engineering Services

AI & Agentic Engineering

We design and ship agentic AI systems - workflow-driving agents, LLM orchestration, and automation layers grounded in production engineering discipline, not demos.

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Agentic

AI Systems

Why It Matters

The Case for AI & Agentic Engineering

Most "AI features" shipped today are a chatbot wrapper with no reliability guarantees behind it. We build agentic systems the way we build everything else - with evaluation pipelines, guardrails, and monitoring in place before an agent ever touches production data or a real workflow.

This isn't theoretical for us: the same agentic and orchestration patterns we apply for clients are the ones running inside upmarX's adaptive testing core today, which means every engagement starts from patterns that have already survived real production load.

It also doesn't require ripping out what a client already runs. For Hassans' Optician Co., that meant building an AI layer on top of their existing operations software and Power BI reports, delivered through Power Apps on the Azure stack they'd already standardized on, rather than proposing a replacement system nobody asked for.

In practice, that means applied internally in the upmarX adaptive testing core. Clients evaluating AI & Agentic Engineering often pair it with Custom Product Engineering as part of a fuller Engineering engagement, though it's scoped and delivered as a standalone service just as often.

End-to-End

Delivery Standard

Engineering

What's Included

A scoped, modular engagement - not an all-or-nothing commitment. Every item below can stand alone or combine into a broader rollout, depending on where you're starting from.

Agent Orchestration

Multi-step workflows driven by LLM agents.

Task Automation

Repetitive operational work handed to agents.

Guardrails & Evaluation

Agents tested and bounded before shipping.

System Integration

Agents wired into existing tools and data.

Engagement Model

How We Deliver This

Four steps, applied consistently, so progress stays visible at every stage instead of arriving as one unpredictable handoff at the end.

Scope

We define outcomes, constraints, and success metrics before writing a proposal, let alone a line of code.

Design

Architecture and interfaces are reviewed with you before development starts, so surprises show up on paper, not in production.

Build

Iterative delivery in short cycles, with visibility into progress at every step rather than a single distant reveal.

Operate

We stay engaged through launch, scaling, and the long-term realities that only show up after real users arrive.

Engagement Highlights

Applied internally in the upmarX adaptive testing core
Evaluation pipelines built before agents reach production
Works across cloud LLM providers and self-hosted models
Scoped engagements from prototype to production rollout
Delivered by the same team and process that runs upmarX and Skelbiz in production

Questions

AI & Agentic Engineering FAQ

Which LLM providers do you support?

We work across major cloud LLM providers as well as self-hosted models, depending on your requirements.

How do you prevent agents from making costly mistakes?

Evaluation pipelines and guardrails are built and tested before any agent reaches production.

Can you start with a small prototype?

Yes, engagements scope from prototype through to full production rollout.

How do we get started?

Reach out through our Contact page describing your use case, current setup, and rough timeline - we'll follow up within one business day with next steps and a clear sense of how AI & Agentic Engineering fits your situation specifically.

Let's Scope Your Project

Tell us where you're stuck and we'll map out an engagement that fits.

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