DevBit

Custom AI agent development — built for your workflow.

Agents integrated with your systems and approved by your people — engineered to production standards, with a complete handover.

What we build

Custom AI agents for real workflows

We don't sell a platform — we build agents around the processes you already run.

Support & intake agents

Capture, classify and answer incoming requests — email, forms or chat — with a human approving outgoing replies. Your team handles the exceptions instead of the routine.

Document agents

Extract, validate and process data from invoices, contracts and forms — checked against your systems before anything is written back.

Internal knowledge agents

Retrieval-based assistants that make your documentation, project files and past decisions searchable in plain language — with sources.

Approval-workflow dashboards

Human-in-the-loop interfaces where your team reviews, corrects and approves what agents prepare — with a full audit trail.

From audit to operations

  1. 01

    AI readiness audit

    Fixed scope: process scan, prioritised use cases and an architecture recommendation — before you commit to a build.

  2. 02

    Pilot: one process

    We build an agent for a single, well-defined process and prove it on your real data and real cases.

  3. 03

    Production hardening

    Integrations, approval workflows, error handling, monitoring and security review — what turns a demo into a system.

  4. 04

    Operations retainer

    Monitoring, model updates and quality tuning in production — or a documented handover to your team. Your choice.

No lock-in

Model-agnostic by design.

We don't bet your business on a single model vendor. The architecture keeps the language model swappable — so you can adopt better or cheaper models as they appear, without rebuilding the system.

  • Swap the LLM anytime: commercial or open-source, chosen per use case, language and privacy level.
  • Transparent token costs: API usage runs through your accounts — you see exactly what the agent costs to operate.
  • Your accounts, your data: no platform dependency — established open-source stacks and complete documentation.

Engineering standards

Built like software — because it is software

Agent projects fail in operation, not in the demo. These standards are part of every build:

  • Audit logs for every agent action — who approved what, and when
  • Role-based access control: agents and people only see what they are allowed to see
  • No training on your data — your documents don't improve anyone else's model
  • Human approval gates before critical or outward-facing actions
  • Complete handover: onboarding, documentation, deployment — no platform dependency

How we handle GDPR and privacy

Frequently asked questions

What does custom AI agent development cost?

We don't publish prices, because scope varies too much for a single number to be honest. The path is designed to keep costs predictable instead: a fixed-scope AI readiness audit as the entry point, a fixed-price pilot for one process, and production plus an operations retainer after that — you decide at each step. We work senior-led and clearly below typical market rates, because AI-assisted processes reduce our development time.

How long does it take to build a custom agent?

That depends on the process and the systems involved, so we won't promise a universal number. The pilot is deliberately small — one well-defined process — which makes it the fastest route to a working result on your real data. Production hardening and integrations add time depending on your ERP/CRM landscape and privacy requirements. After the readiness audit you get a roadmap with a concrete estimate for your case.

Which LLMs do you work with — are we locked in?

We work model-agnostic: commercial models and open-source models, chosen per use case, language and privacy level. The architecture keeps the model swappable, so you can change vendors — or move to a local model — without rebuilding the system. Token costs are transparent and run through your own accounts. There is no lock-in: established open-source stacks, your own accounts, complete documentation.

How do you handle our data and GDPR?

You contract with an Austrian company under EU/GDPR jurisdiction, with a data processing agreement as standard. Technically, we match the privacy level to your case: fully local so data never leaves your infrastructure, EU hosting with zero data retention, or PII masking before anything reaches a cloud model. Your data is never used to train models. Honest caveat: GDPR compliance depends on the concrete implementation and use case — we design for it instead of making blanket promises. Details are on our GDPR-compliant AI page.

Who maintains the agent after launch?

Your choice. The operations retainer covers monitoring, model updates, prompt and quality tuning, and small extensions as your processes change. Alternatively, we hand the system over to your team — onboarding, documentation, deployment — and you run it yourself. Because everything runs on established open-source stacks in your own accounts, you can switch between the two at any time.

Start a project

Tell us briefly what you need — your message lands directly with the people who build your project.

WhatsApp — the fastest way

A quick question, a small project, or just want to start simple? Message us directly.

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Email

office@devbit.at

Replies on business days within 24 h.