Conversational assistants
Customer support bots, internal helpdesks, sales assistants. Integrated with existing channels and tooling.
SERVICES · AI DEPLOYMENTS AI deployments that
AI deployments that
actually ship to production.
We design, build and operate AI systems for companies of all sizes - from conversational assistants through RAG to executive agents with access to company tools.
WHAT WE DO Six deployment
Six deployment
areas.
Every project starts with an audit - we pick the area with the highest ROI for your business.
RAG
Indexing documents, knowledge bases, intranets. Semantic search with source citation and access control.
Executive agents
Models with access to CRM, ERP, APIs. They execute tasks, not just answer - update data, create records, escalate.
Domain-tuned models
Fine-tuning, domain evaluators, local models for sensitive data. Where a generic LLM is not enough.
Document processing
OCR, data extraction from PDFs, email classification, meeting summaries, auto-tagging.
Internal copilots
Copilot for your team - on Slack, Teams or a custom UI. With access to documents, calendars, company data.
Process Four-week cycle
Four-week cycle
from idea to production.
Four stages, one predictable rhythm. Every project runs in the same standard - no surprises, clear deliverable each week.
- 01Week 1
Audit
We map processes and identify 3-5 highest-ROI areas for AI.
- 02Week 2
Prototype
We build a working PoC on the client's real data.
- 03Week 3-4
Deployment
Hardening, integrations, monitoring. Deploy with SLA.
- 04Ongoing
Maintenance
Iterations, evolution, knowledge transfer to the client's team.
STACK
What we use.
We pick the stack for the problem, not the trend. Most projects mix providers - with self-hosting where full data control is needed.
OpenAI
Anthropic Claude
Google Gemini
Llama (Meta)
Mistral
Hugging Face
pgvector (Postgres)
Pinecone
Qdrant
LangChain
Vercel AI SDK
Redis
Supabase
AWS Bedrock
Azure OpenAI
Cloudflare Workers AI
WHO IT IS FOR
Industries we work with most often.
CASE STUDIES
All case studies → Real deployments.
FAQ
Frequently asked questions.
How long does a typical deployment take?
From audit to a working production system - 4 weeks. Larger projects (multi-tenant, strict compliance) - 6-10 weeks. Smaller ones (PoC + integration) - 2-3 weeks.
How much does a deployment cost?
Small deployment (assistant for one process): EUR 6-10k. Medium (RAG + integrations): EUR 14-28k. Large (multi-agent, compliance): from EUR 35k. Every project is quoted individually after a short audit.
Is my data safe?
Yes. We work with DPAs, optional self-hosted open-source models and EU-only data residency for sensitive projects. A security audit is a permanent part of our process.
What if the AI model gets it wrong?
Every system has measurable quality metrics, human escalation paths and monitoring. We define confidence thresholds below which AI does not answer on its own. Full error observability.
Will we be stuck with your code forever?
No - we hand over the full code, documentation and train your team. We can stay on retainer, but it is never required. No vendor lock-in.
Do you work with companies outside Poland?
Yes - we have clients in the EU, UK and US. English-language communication, bilingual contracts, EU VAT compliant invoices.
Available · new projects in Q3 2026
Let's deploy AI
with real business value.
30 minutes with a partner - no slides, with a concrete list of recommendations tailored to your organization.
or write directly: kontakt@futurefirst.pl