What business processes can you automate with AI?

Document and invoice processing, LLM-powered support assistants, CRM and data-entry automation, scheduled report generation, and lead qualification. If a task involves reading messy inputs, making a judgement, and writing the result into another system, it is usually a good fit for AI automation.

How do you start — do we have to commit to a big project?

No. We start with a short discovery, then a paid pilot that automates one real workflow in a few weeks. You see it working on your data before deciding whether to scale it into production.

How much do AI automation services cost?

Our standard rate is $1,600 per developer per week. A typical pilot is a few weeks of one senior engineer; production hardening and ongoing support scale from there. We can also quote a fixed price once the scope of the first workflow is clear.

When is AI automation NOT worth it?

When the process runs only a few times a year, when the rules are simple enough that plain code is cheaper and more reliable than an LLM, or when the source data is too inconsistent to trust without heavy human review. We will tell you when that is the case rather than sell you an LLM you do not need.

Is AI automation safe with our data and GDPR-compliant?

Yes. We design for per-step error isolation, retries, and graceful degradation, and we keep humans in the loop at the decision point for anything sensitive. Workflows can run on your own infrastructure, and we handle data in line with GDPR.

Do you work with UK and European companies?

Yes. AnvilEight is a Ukraine-based company headquartered in Kharkiv, working in a European timezone with strong overlap with UK business hours. Most of our clients are UK and European businesses.

AI Automation Services That Pay for Themselves

We automate the repetitive judgement work that eats your team's day — qualifying leads, pricing invoices, processing documents, stitching reports out of six systems — with AI workflows that run unattended and degrade gracefully when a source is down.

UK & EU SMBs drowning in manual, repetitive back-office work
Sales and ops teams that need faster, more consistent decisions
Businesses that want AI in production, not another proof-of-concept demo

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What we automate

Real AI Automation, Already Running in Production

Everyone says they "do AI" now. The difference is whether it survives contact with real, inconsistent business data. Ours does — here is work we have shipped and that runs every day:

Lead qualification. For Runa, a B2B payments platform, we built an automated qualification engine: feed it a company domain and it returns a scored, evidence-backed verdict in 5–8 minutes instead of the 30–60+ minutes a person used to spend. Eight analyzers run in parallel against the live web and merge into a 17-point scoring matrix.
Invoice & document processing. For Total Solution Industries (a US field-service company), the moment a job closes an LLM matches the work against a price list, applies the customer's pricing tier, and writes a finished invoice back into their ERP — ~50 work orders auto-priced and invoiced every day.
Report generation from many systems. One daily digest pulls from six-plus disconnected tools — backups, HR, time-tracking, CRM, proposals — and delivers a single glanceable status message every morning, ~260 runs a year with zero manual effort, using AI to normalize inconsistent spreadsheets along the way.
LLM assistants & content. Guardrailed assistants and content engines that draft on-brand copy or answer questions over your own data, with humans kept in control at the point of decision.

Andrii was professional, efficient, and an excellent communicator from the start. He helped me think through scenarios I hadn't considered, and his deep developer expertise pushed the final product well beyond what I expected.

— Verified Upwork review, AI screening automation

How we work

Discovery → Paid Pilot → Production

We start small and prove value on your data before you commit. A pilot automates one real workflow in a few weeks; once it earns its keep, we harden it for production and scale.

And we will tell you when not to. If a process runs a few times a year, or plain code is cheaper and more reliable than an LLM, that is the honest answer — AI that cannot be accountable for outcomes is not a feature.

See our case studies

We automate

Document & invoice processing
LLM support assistants
CRM & data-entry automation
Report generation
Lead qualification

Built with

Python
n8n
LLM APIs (OpenAI, Anthropic)
LangChain
PostgreSQL
Docker

Why Python

Automation Is Mostly Plumbing — Our 15-Year Strength

The headline is the LLM, but most of an AI automation is the unglamorous part: pulling data from APIs and spreadsheets, transforming it, handling the edge cases, retrying when a service is down, and writing results back into the systems you already use. That plumbing is exactly what we have been building in Python since 2010 — which is why our AI workflows are reliable enough to run unattended, not just impressive in a demo.

Need custom models, RAG over your own data, or evaluation harnesses rather than off-the-shelf automation? See our AI development services. For broader scripting and data pipelines, see Python automation services.

AI automation: FAQ

Contact

Have a workflow worth automating?

Tell us the process that wastes the most time and we will tell you, honestly, whether AI automation pays — and scope a pilot. Or email contact@anvileight.com