Service 01 — Custom AI Agents

AI agents that take work off your team’s plate.

We design, build and operate custom agentic AI systems that plug into the tools your business already runs on — answering, deciding and acting with the guardrails your enterprise needs.

2–4weeks to a working PoC

Validated on your own data, not a demo dataset.

3×faster proof of value

Compared with traditional build cycles.

80%less manual workload

Target on automated, repetitive flows.

0vendor lock-in

Your code, your infrastructure, your models.

What we build

From a single assistant to a fleet of agents.

Every agent is shaped around a measurable business outcome — not a model. Typical builds include:

Customer & sales agents

Always-on agents that qualify leads, answer product and order questions and hand off to humans with full context.

Back-office automation

Agents that read documents, reconcile data and execute steps across ERP, procurement, finance and HR systems.

Knowledge & RAG assistants

Grounded answers from your policies, contracts and wikis — with citations, permissions and freshness built in.

Multi-agent systems

Orchestrated teams of specialised agents that plan, delegate, verify and escalate across complex workflows.

Data & analytics agents

Ask questions in plain language and get trusted answers, forecasts and reports straight from your warehouse.

Integrations & tool use

Secure connectors, APIs and MCP servers that let agents act inside the software your teams already use.

How we deliver

A short path from idea to production.

Fixed-scope phases, clear exit criteria and a demo at the end of every sprint. You always know what you are getting.

01Week 1

Discover & frame

Map the process, define success metrics and score use cases on value and feasibility. Pick the one to build first.

02Weeks 2–4

Prototype on real data

A working agent connected to your systems, evaluated against real cases and shown to the people who will use it.

03Weeks 5–10

Productionise

Hardening, guardrails, evaluations, observability, security review and rollout — on your cloud or on-prem.

04Ongoing

Operate & scale

Monitor quality and cost, add new skills and agents, and run the fleet on Nohiq Ark with full control.

What you get

Built to survive contact with production.

Agents fail in the details. We obsess over the parts that demos skip.

Evaluation harness

Test sets and automatic scoring so quality is measured, not guessed — before and after every change.

Guardrails & human-in-the-loop

Policies, approvals and escalation paths for every action an agent can take.

Observability & cost control

Tracing, dashboards and budgets per agent, per task and per model.

Security & compliance

Data stays in your perimeter. Role-based access, audit trails and GDPR / EU AI Act-ready documentation.

Full ownership

Source code, prompts, infrastructure-as-code and runbooks are handed over. No black boxes.

Model & cloud agnostic

We pick the stack for the job — not the other way round.

Google Cloud · Vertex AIGeminiOpenAIAnthropic ClaudeMistralLlamaDeepSeekAWS · BedrockAzure AIOn-prem & NVIDIAAgent Development KitLangGraphModel Context ProtocolVector databases

Model & cloud agnostic. We build with the best.

Google CloudAWSMicrosoft AzureNVIDIAOpenAIMetaMistral AIIBMDeepSeekxAI
“Your team has truly surpassed our expectations. You didn’t just meet our needs — you inspired innovation within our own processes, in part by expertly demonstrating the power of agentic AI.”
SPStefan PadeanuCEO, AMP GRUP
FAQ

Questions, answered.

Can’t find what you are looking for? Talk to the team directly.

Ask a question
How do we know which use case to start with?

Our discovery week scores candidate use cases on business value, data readiness and technical risk. We recommend one that can show measurable impact within a month and becomes a foundation for the next agents.

Do we need to move our data to a new platform?

No. Agents run where your data lives — Google Cloud, AWS, Azure, private cloud or on-prem. We connect to existing systems through secure APIs and connectors.

Which models do you use?

Whichever performs best for the task, cost and compliance profile: Gemini, OpenAI, Claude, Mistral, Llama and others. Our architecture lets you switch models without rebuilding the agent.

What happens after go-live?

You can operate the agents yourselves with our handover pack, or let us run them on Nohiq Ark with monitoring, evaluations and continuous improvement included.

How do you keep agents safe?

Least-privilege access, approval steps for sensitive actions, content and policy guardrails, full audit logs and continuous evaluation against a regression test set.

Get in touch

Have a process that should run itself?

Bring us one workflow. In a 30-minute call we will tell you honestly whether an agent is the right answer — and what it would take.