Service — AI agents

AI agents for small and medium businesses

Custom AI assistants built for your processes. We work over your data, integrate into your existing systems, and never lock you in to a single model vendor.

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By AI agent we mean software that can independently perform tasks over your data — answer questions, work with documents, call your APIs, and escalate to a human when needed. It's not just a chatbot pasted onto a website. We build solutions that solve a concrete business problem: save people time, give customers faster answers, or pre-filter incoming leads.

What AI agents are good for

Instead of a generic chatbot, we build agents focused on one specific problem. Below are typical scenarios where deployment makes sense for small and medium businesses.

24/7 customer support

A chatbot on your website or in your app, answering over your knowledge base. It recognises when it's unsure and hands the conversation to a human. Measurably reduces routine load on first-line support.

RAG over company documents

An agent that searches your internal documents, contracts or wiki and answers employees precisely, with a link to the source. Useful for large, fragmented knowledge bases where manual search would take minutes.

Email automation

Categorisation of incoming messages, draft replies, and summarisation of long threads. Always with human approval before sending — the agent prepares, the person approves. Saves hours daily without losing control.

Lead qualification from forms

The agent reads the inquiry, enriches it with public data about the company, scores its relevance and assigns it to a specific salesperson. Cuts out noise and saves hours of manual triage every week.

Internal CRM/ERP assistant

Natural-language queries over company data: "How many invoices did we issue to client X this year?" or "Show me projects running late." No need to teach people SQL or the database schema.

Structured meeting notes

From a recording transcript, the agent produces structured minutes, action items and calendar follow-ups. Especially useful where note-taking capacity is limited and important points get lost.

How we work together

We start from a concrete business problem, not from technology. Standard flow from first meeting to production.

  1. Free consultation

    A one-hour session where we walk through your process and identify where AI makes sense (and where it would be overkill). Out of this comes a proposal and scope estimate.

  2. Prototype on your data

    We build a proof-of-concept on your real data. You get to try how it would work before you commit to anything. No obligation to continue.

  3. Production deployment

    Integration into your systems, monitoring, rate limits, fallbacks for LLM API outages. We also cover security: prompt injection, data leakage, audit logging.

  4. Operations and iterative tuning

    Models change, your data changes too. We regularly evaluate accuracy, add examples to RAG indexes and refactor prompts so the agent stays reliable.

What we work with

Vendor-agnostic stack — the model that's optimal today may not be optimal in a year. The architecture accounts for migration.

LLM models

  • Anthropic Claude
  • OpenAI GPT
  • Mistral
  • Llama 3 (on-prem)

Frameworks

  • LangChain
  • LlamaIndex
  • Anthropic Agent SDK

Vector DBs

  • Pinecone
  • Qdrant
  • pgvector

Backend

  • Python
  • TypeScript
  • Go

Infrastructure

  • AWS Bedrock
  • Google Vertex AI
  • self-hosted / on-prem

Security

  • Prompt sanitisation
  • Output filtering
  • Per-user rate limits
  • Audit logging

Frequently asked questions

What SMB clients usually ask before deciding.

How much does AI agent development cost?

Pricing is always agreed up-front as a fixed scope. A prototype typically takes 2–3 weeks of work, production deployment 6–12 weeks depending on integration complexity.

If you don't have an idea yet, we'll give you a realistic scope on the introductory call based on your scenario.

How quickly will we see something working?

First working prototype within 3 weeks. The point of the prototype is so that you can test on your own data whether AI makes sense in the specific scenario before spending more.

Do we own the source code?

Yes. All code is yours. We host either on your infrastructure or in the cloud under your account. No vendor lock-in from our side.

What about our data — GDPR, sensitive information?

Data stays with you. When using external LLMs (Anthropic, OpenAI), we use zero-retention APIs and contractual Data Processing Agreements.

For the most sensitive data we deploy local models (Llama 3, Mistral) on your infrastructure — data then never leaves the company.

What if OpenAI or Anthropic raise prices or shut down their API?

The architecture is vendor-agnostic. Migrating between models is a configuration change, not a code rewrite.

If needed, we can switch from a cloud LLM to on-prem within a week.

Can you work entirely on-prem, without internet?

Yes. Local models (Llama 3 70B, Mistral Large) run on your hardware. They require 1–2 GPU servers, but data stays 100% inside your company.

Let's talk if AI agents make sense for you

A free hour-long call. We'll figure out together if it's worth pursuing — and if so, in what scope.

Book a consultation →

Let's work together

Describe your situation or request and we typically reply within one business day.