encorp.ai builds AI business process automation for companies in Bulgaria and the EU — AI agents and automated processes for back office, sales, customer service and document processing. In the Encorp AIM method they run from the first quick win by week 4 to the solutions in production in weeks 11–12, and they connect to the systems the company already uses.
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.
24/7 — no human in the loop
| Who it is for | Companies with repetitive work in back office, sales, service or documents |
|---|---|
| What we build | AI agents, automated processes and integrations with CRM, ERP and other systems |
| First result | 2–4 weeks from kickoff |
| Cost per task | about €0.02 per AI agent task (what a "task" is — below) |
| Price | On request; within Encorp AIM part of the AI transformation package, with AI tokens included from day one |
| Ownership | You own the code, the model instructions and the deployment |
| Encorp AIM phase | Quick win by week 4 · PoCs in weeks 5–10 · production in weeks 11–12 |
The best candidates for AI automation are processes that repeat often, follow clear rules and take up the time of people who have more valuable work to do. Typical examples are processing incoming documents, answering frequent customer questions, moving data between systems and preparing reports. The higher the volume, the faster the automation pays back.
Not every process fits. If decisions need judgement that cannot be written down as rules, or a mistake is expensive, the agent works with a person who approves the result. That is why we start with an audit: we score processes by volume, cost and risk and pick those where the effect is easiest to measure. If the team does not work with AI yet, the first step is AI training for companies, and the processes are chosen at Gate 1 of the Encorp AIM method, from the opportunity map.
AI automation runs in stages: audit, build, pilot and scale. In the first week we look at the process, the systems and the data and agree the metrics we will measure success by — time, cost, errors. Then we build the agent and connect it to the CRM, ERP or other systems the company uses. If the process needs a person to approve the result, we build that into the first version.
The pilot runs on real data under supervision, and the first measurable results usually arrive 2–4 weeks from kickoff. Every solution is measured against its baseline, and one that does not deliver does not reach production — we stop it and pick the next process. Solutions that work move on to AI Ops — support, improvements and new processes every month, with a response within 24 hours.
AI automation is how solutions get built in the Encorp AIM method — from the quick win in phase 1 (Enablement, weeks 1–4), through the PoCs in phase 2 (Roadmap and PoC, weeks 5–10), to the solutions that go into production in phase 3 (Deployment, weeks 11–12). Before anything is built, every process gets a KPI and a baseline, so we automate processes chosen by numbers, not by gut feeling: at Gate 1 (end of week 4) the Sponsor picks 2 to 5 processes, and at Gate 2 (end of week 10) every PoC gets Go, Iterate or Stop.
The automations are part of the AI transformation and of the 3-, 6- and 12-month packages, not a separate component with its own price; the price is on request. The Fractional AI Director owns the result end to end, and the implementer builds the quick wins, PoCs and automations together with the Champion from your team. After deployment the solutions move to AI Ops from month 4, and new systems such as CRM, ERP or HRM are a separate project built on the processes we already know. Automation can also be booked on its own. The method is described on AI transformation for companies · the Encorp AIM method.
| Process | System | Before / after | Timeline |
|---|---|---|---|
| Processing incoming documents (invoices, contracts) | <система> | <преди / след> | <срок> |
| First-line answers to customer enquiries | <система> | <преди / след> | <срок> |
| Quotes and notes in the CRM | <система> | <преди / след> | <срок> |
| Entering and reconciling data between systems | <система> | <преди / след> | <срок> |
| Reports for management | <система> | <преди / след> | <срок> |
A "task" is one run of the AI agent from start to finish — for example <пример за една задача>. €0.02 is the indicative cost of one such run, compared with €4–€12 for the same task done by a person. The amount covers <какво включва сумата от €0.02 — разход за модела, инфраструктура?>.
Within Encorp AIM, building the agents is part of the AI transformation and the AI tokens for the solutions are included from day one, so there is no separate bill per agent or per run. Automation booked on its own is quoted on request, after the free review.
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.
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.
AI agents that read incoming emails and tickets, classify intent, draft responses, and route to the right human only when needed.
Invoices, contracts, KYC packets, supplier docs — extracted into structured data, validated, and pushed into your ERP without humans in the loop.
RAG-grounded support agents that resolve tier-1 queries on your knowledge base, escalate gracefully, and stay on-brand bilingually.
Lead enrichment, meeting note summarization, CRM hygiene, follow-up generation — wired into HubSpot, Pipedrive, Salesforce, or your custom stack.
n8n / Make / Zapier flows wrapped in AI decision-making for operations spanning multiple tools and conditional logic.
Daily ops reports, anomaly detection, executive briefings — generated, formatted, and delivered without your analysts touching a spreadsheet.
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.
Email, Slack, your CRM, n8n triggers, scheduled jobs. We meet your stack where it is — no replatforming.
Claude, GPT, Gemini — chosen per task. Tool calls into your APIs, your databases, your file storage. Cost-controlled per agent.
Vector store of your domain knowledge. Long-running agents remember conversations, decisions, escalations.
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.
Tight feedback loop. We measure ROI from week 2 — not at the end of a 6-month engagement.
We sit with your ops, sales, and support teams to map every repetitive workflow and rank by ROI × feasibility.
We design the highest-ROI agent, build the integration scaffolding, and stand up a sandbox with your real data.
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.
Full production, supervision relaxed to spot-check, ongoing AI-OPS monitoring. We measure ROI weekly and roadmap the next agent.
We set the KPI and the baseline before we build. If an agent does not deliver against the baseline, it does not go to production — we stop it and pick the next one.
Fintech, e-commerce, manufacturing, professional services.
Implemented a custom AI agent for Econt, the leading logistics provider in Bulgaria, to automate customer support.
Vivacom is one of the leading telecommunications companies in Bulgaria, offering a full range of services including mobile, fixed-line, internet, and digital television. As part of the United Group, Vivacom is recognized for its innovation, reliable network infrastructure, and customer-centric approach. The company serves millions of residential and business clients, delivering high-speed connectivity, advanced telecom solutions, and cutting-edge digital services across the country. With a strong focus on digital transformation, 5G technology, and smart business solutions, Vivacom continues to play a key role in shaping the future of Bulgaria’s telecom sector.
Delivered AI-focused educational trainings for Forbes Bulgaria to empower business leaders with practical knowledge.
Automation lands fastest when paired with operations and oversight.
Support, improvements and new processes every month for AI solutions in production, with response within 24 hours.
Strategic AI leadership without the C-suite price tag — owns AI strategy, policy, AI risk register, and EU AI Act alignment.
AI for product discovery, personalization, customer support, content generation, and order ops — for Bulgarian and EU online retailers.
How-tos, architecture deep dives, and post-mortems from real deployments.
Google Cloud's Agent Compute Engine gives custom AI agents a hardware-isolated microVM per session, shifting security, identity, and runtime design.
Liquid AI’s RIPL pushes real-time analytics AI closer to live production use, with vendor-reported latency gains that matter for search, fraud and payments paths.
Custom AI agents should behave more like Mori than a bloated assistant: focused, reactive, and designed to do one business job reliably well.
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)