PILLAR · AUTOMATION

AI Automation

We automate the work that costs you the most — back-office, customer support, sales ops, document processing — with custom AI agents that integrate with your existing CRM, ERP, and tools.

150+
automations deployed
2–4 wk
to first measurable ROI
40%
average cost reduction
AI agent in flow
live · 150+
Email · CRM · APIToolsAction

24/7 — no human in the loop

Why automate now

Your team is doing work that an AI agent can do for €0.02 per task — and your competitors already know it.

Every Bulgarian and EU enterprise we audit has the same picture: 30–50% of operational headcount runs on copy-paste, document review, ticket triage, and inbox sorting. AI agents — purpose-built, integrated with your CRM and ERP, supervised by your team — close that gap in weeks, not the multi-quarter transformations the big consultancies sell.

€0.02
Per-task cost of an AI agent vs. €4–€12 for the same human task
70%
Of repetitive ops tasks at our enterprise clients are automatable today
2–4 wks
From kickoff to a deployed agent measurably reducing cost
What we automate

Custom AI agents for the work that drains your team

We don't sell shelf-ware chatbots. We build purpose-built agents that integrate with your stack and own a specific outcome — measurable, supervised, and EU AI Act-aligned.

Inbox & ticket triage

AI agents that read incoming emails and tickets, classify intent, draft responses, and route to the right human only when needed.

Document processing

Invoices, contracts, KYC packets, supplier docs — extracted into structured data, validated, and pushed into your ERP without humans in the loop.

Customer support agents

RAG-grounded support agents that resolve tier-1 queries on your knowledge base, escalate gracefully, and stay on-brand bilingually.

Sales & CRM ops

Lead enrichment, meeting note summarization, CRM hygiene, follow-up generation — wired into HubSpot, Pipedrive, Salesforce, or your custom stack.

Cross-system orchestration

n8n / Make / Zapier flows wrapped in AI decision-making for operations spanning multiple tools and conditional logic.

Reporting & monitoring

Daily ops reports, anomaly detection, executive briefings — generated, formatted, and delivered without your analysts touching a spreadsheet.

How it works

Custom agent — not a chatbot

An AI agent is a controlled loop: it receives input, retrieves context from your data, calls tools (your APIs, your databases, your knowledge base), decides what to do, executes, and writes back. Properly built, it owns an outcome — close the ticket, file the invoice, generate the report — without requiring constant human steering.

01

Inputs you already have

Email, Slack, your CRM, n8n triggers, scheduled jobs. We meet your stack where it is — no replatforming.

02

Tool-using LLM core

Claude, GPT, Gemini — chosen per task. Tool calls into your APIs, your databases, your file storage. Cost-controlled per agent.

03

Memory & retrieval

Vector store of your domain knowledge. Long-running agents remember conversations, decisions, escalations.

04

Human oversight

Escalation paths, audit trail, kill-switch. EU AI Act-aligned by design — your governance team sees every decision.

We build the agent for your specific task — not a generic platform we resell. You own the code, the prompts, and the deployment.

How we work

From audit to deployed agent in 4 weeks

Tight feedback loop. We measure ROI from week 2 — not at the end of a 6-month engagement.

01
Week 1

Process audit & quick-wins map

We sit with your ops, sales, and support teams to map every repetitive workflow and rank by ROI × feasibility.

  • Workflow inventory
  • ROI ranking
  • Top-3 automation candidates
02
Week 2

Pilot agent design & scaffolding

We design the highest-ROI agent, build the integration scaffolding, and stand up a sandbox with your real data.

  • Agent architecture doc
  • Sandbox deployment
  • Initial test harness
03
Week 3

Build, test, supervised pilot

We ship the agent into supervised production. Your team reviews every output for the first week — we tune until quality is at-or-above human baseline.

  • Production-ready agent
  • Quality KPIs
  • Rollback plan
04
Week 4+

Roll out + AI-OPS handover

Full production, supervision relaxed to spot-check, ongoing AI-OPS monitoring. We measure ROI weekly and roadmap the next agent.

  • Live ROI dashboard
  • AI-OPS monitoring
  • Next-agent backlog
Outcomes

Measurable, in weeks

We commit to KPIs from day one. If an agent doesn't pay for itself in 90 days, we kill it and pick the next one.

40%
Average cost reduction
Across deployed agents at 90-day mark
2–4 wk
To first ROI
From kickoff to measurable cost saving
150+
Live deployments
Across BG, EU, and global clients
FAQ

AI automation — common questions

What's the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent does work — it calls your APIs, files records in your systems, escalates when needed, and owns a measurable outcome (ticket resolved, invoice processed, report delivered). We build agents.
Will it integrate with our existing CRM / ERP / HR system?
Yes. We've integrated with HubSpot, Salesforce, Pipedrive, SAP, NetSuite, custom in-house systems, n8n, Make, Zapier, and bespoke APIs. If it has an API or a database, we can wire to it.
How do you handle data privacy and EU AI Act compliance?
Every agent we ship is data-classified upfront — what comes in, what goes out, where it's stored, who can see it. We default to EU-resident inference where the use case allows, document the decision boundary, and produce the EU AI Act paperwork (risk register entry, transparency notes, oversight plan) as part of delivery.
What happens if the agent makes a mistake?
Three layers. (1) Confidence gating — low-confidence outputs route to a human. (2) Audit trail — every input, decision, and output is logged. (3) Kill-switch — your team can pause or revert any agent in one click. We design for failure, not just for the happy path.
How is this priced?
Fixed-fee per agent for the build (typically four to low-five figures EUR depending on complexity), then either a flat AI-OPS retainer or per-execution pricing for ongoing run. We don't charge consulting hours. We free quote after the week-1 audit.
Can we run agents on our infrastructure?
Yes. Many of our regulated-industry clients require it. We can deploy on your AWS, Azure, GCP, or on-prem cluster, with self-hosted models (Llama, Mistral, etc.) where data residency demands it.
What's the smallest engagement we can start with?
A single high-ROI agent. We've started with companies that have €5K/month of repetitive labour costs and turned that into a €60K+/year saving — all from one agent. The free 30-min review tells you if your top use case is worth doing.
Who owns the code and the prompts?
You do. Full repo handover, full documentation, full prompts. We'd rather you internalize this than depend on us forever — but most clients keep us on AI-OPS retainer because models drift and ops change.

Stop paying humans to copy-paste. Start automating.

Book a free 30-minute automation review. We'll map your top 3 automatable workflows and tell you which one will pay back fastest — no commitment.

No sales pressure · Free 30-min consultation · Bilingual delivery (EN/BG)