3HT Services PSA

AI agentic systems for companies that start from a business goal.

We build production-ready AI systems and bespoke software. We understand your business first — then choose the technology.

Starting point
A business goal, not a framework. The question is „why" — not „in what".
Endpoint
A system in production — with observability, cost control and a clear SLA.

Agentic AI technologies are a means, not an end. The end is ROI, faster time-to-market and data-driven decisions — the choice of model, framework and infrastructure follows from that."

Our approach — 3HT Services
What we do

Four areas where we deliver real business outcomes.

Every project starts with a conversation about outcomes — not technology. The stack follows the problem.

AI agents for operations

We automate back- and front-office processes where humans are the bottleneck today. We design systems that do the work — not just recommend an action.

  • Customer support and ticketing with human-in-the-loop for high-stakes decisions
  • Document intelligence: extraction, classification and summarisation of contracts, invoices and regulations
  • Internal assistants for sales, legal, finance and HR
  • Workflow automation with measurable impact on cost and time

Analytical apps and decision cockpits

The client gets a tool they use every day — not a report they read once a month.

  • AI briefings with a multi-source feed — market, competition, internal data
  • Executive and operational cockpits with drill-down
  • Predictive models for pricing, churn, demand and exposure
  • What-if scenarios for financial and strategic decisions

Custom development with AI in the developer workflow

We build bespoke software — web, native, PWA — using AI inside the build process itself. Faster, cheaper, without sacrificing quality.

  • Full SaaS and internal applications — frontend, backend, integrations
  • Integrations with client systems: ERP, CRM, data warehouses, industry platforms
  • Cloud deployments with cost and performance monitoring
  • Legacy modernisation with incremental AI adoption

AI Strategy & Architecture

Before we build — we help decide what and why. Reference architecture driven by business goals, not hype.

  • AI readiness assessment for executive teams and boards
  • Reference architecture tailored to client scale and constraints
  • Model and agentic workflow cost optimisation
  • Roadmap: from first prototype to production scale
How we work

Three phases. Each starts with the business and ends with value verification.

01 — Understand

Conversation first, brief second.

We start with the business — not just IT. We audit processes, map the data and define success KPIs in the currency the board reports in. We leave with a brief and a value hypothesis — not a feature list.

02 — Build

Iteratively, on your data.

Iteratively, on real client data, with a business review every two weeks. The stack fits the problem — not the other way around. Every architectural choice is justified by a business goal, not a trend.

03 — Scale

Production deployment with a clear SLA.

Production deployment with cost control, observability and a clear SLA. Continuous adoption review — we check whether the system is actually used, whether it generates value and where the next iteration lies.

Our approach to technology

Stack chosen for the problem, not for the team's CV.

We work with whatever delivers value today. The final choice always follows from the business goal and the client's constraints — not from our preferences.

Open to the ecosystem

We pick models, frameworks and infrastructure for the problem at hand. We're not tied to any single vendor — we're tied to the outcome.

Production-first

We don't ship experimental tech into production. Innovation is a deliberate choice, not a default. Every component has a clear business rationale.

Cost as a design decision

Agentic architecture has a direct impact on unit economics. Cost optimisation across models, caching and orchestration is part of the design — not an afterthought.

Contact

Let's start with a conversation about your business.

The first step isn't a demo or an RFP. It's 60 minutes about what your company wants to achieve in the next 12 months — and whether AI has a sensible role in that.