PILLAR · AUTOMATION

AI Business Process Automation

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.

2–4 wk
to first measurable ROI
AI agent in flow
live
Email · CRM · APIToolsAction

24/7 — no human in the loop

At a glance
Who it is forCompanies with repetitive work in back office, sales, service or documents
What we buildAI agents, automated processes and integrations with CRM, ERP and other systems
First result2–4 weeks from kickoff
Cost per taskabout €0.02 per AI agent task (what a "task" is — below)
PriceOn request; within Encorp AIM part of the AI transformation package, with AI tokens included from day one
OwnershipYou own the code, the model instructions and the deployment
Encorp AIM phaseQuick win by week 4 · PoCs in weeks 5–10 · production in weeks 11–12

Which business processes are worth automating with AI?

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.

How does AI automation run?

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.

How does AI automation connect to Encorp AIM?

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.

What we automate

What we automate: process, system, before and after, timeline
ProcessSystemBefore / afterTimeline
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>

What does a "task" at €0.02 mean?

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.

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 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.

2–4 wk
To first ROI
From kickoff to measurable cost saving
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?
On request, and on results, not hours. Within Encorp AIM the automations are part of the AI transformation and of the 3-, 6- and 12-month packages rather than a separate component with its own price, and the AI tokens for the solutions are included from day one. Automation booked on its own is quoted after the free review. We don't charge consulting hours.
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 for AI Ops because models and processes change.
What is AI business process automation?
It is the use of AI agents and automated processes for tasks people do today: processing documents, answering customers, entering data, preparing reports. Unlike classic automation, an AI agent can read free text, summarise and make simple rule-based decisions.
What does a "task" at €0.02 mean?
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 run, compared with €4–€12 for the same task done by a person. Within Encorp AIM the AI tokens are included from day one and the build is part of the AI transformation.
How long does the first automation take?
The first measurable results usually arrive 2–4 weeks from kickoff. We start with a process audit and agreed metrics, then build the agent and run a pilot on real data. Inside Encorp AIM the first quick win comes by week 4, and at Gate 2 every PoC gets Go, Iterate or Stop by its KPI against the baseline.
Which systems do you connect to?
We connect agents to the systems the company already uses — CRM, ERP, document systems, email and spreadsheets — through their interfaces or with automation tools such as n8n, Make and Zapier. We do not resell a platform of our own: the code and the deployment stay yours.

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)