AI agents · adoption · EU AI Act · engineering

AI that does real work — and answers for it.

We build AI agents for specific jobs — support, sales, revenue, finance — grounded in your own systems, with clear limits on what they can do alone. Then we prove they work, and keep them working.

Scoped to one job at a time Runs on your existing tools EU AI Act & GDPR handled
Where most companies get stuck

The tools are easy. Getting them into production isn't.

Almost every company has tried AI by now. Very few have it doing anything that shows up in the numbers. The model is rarely the reason.

Pilots that never ship

An impressive demo meets real data, real permissions and real edge cases — and quietly stops there. Most failures come down to unclear success criteria and no named owner.

Industry research: the large majority of agent pilots never reach production

Everyone uses it, nobody agrees how

Staff paste company data into personal accounts because the sanctioned tools are slower or don't exist. There's no policy, no approved list, no visibility.

Verizon DBIR 2026: shadow AI detections up fourfold in a year

Rules that arrived while you weren't looking

Chatbots, AI-generated content and staff AI literacy now carry legal obligations in the EU — with penalties that scale with turnover.

EU AI Act: transparency duties land in 2026
Start here

Three small, fixed-price ways to begin

Each one is short, priced up front, and ends with a document and a decision — not an open-ended engagement.

Compliance

AI Act & GDPR check

We inventory the AI already in use, classify it under the EU AI Act, and tell you exactly what you must do and by when.

  • Inventory of AI systems and who deploys them
  • Risk classification and transparency obligations
  • GDPR overlap: what data goes where
  • A dated action list, ranked by exposure
Request the check
Visibility

Shadow AI audit

Find out what your people are actually using, why, and what leaves the building — then give them something better and sanctioned.

  • Usage discovery across teams and devices
  • Data-exposure assessment
  • Usage policy and approved-tool list
  • A sanctioned setup people will actually prefer
Request the audit
Proof

Proof-of-value pilot

One workflow, on real data, measured against a baseline we take before we start. With an agreed point at which we stop.

  • Baseline measured before any build
  • One agent, running on live cases
  • Success criteria and a kill criterion in writing
  • Cost per task and a scale-or-stop recommendation
Scope a pilot
What we build

Hire the agent for the job, not a general assistant

General-purpose chatbots impress and then get abandoned. An agent scoped to one job, with defined data, defined actions and a defined approval line, is what survives contact with production. Three ways to think about which one you need: the job it does, the channel it works in, and the industry you're in.

By job

Customer support

Support agent

Answers customer questions from your live systems, not a stale FAQ, and escalates the moment it isn't sure.

Reads
Help centre, past tickets, orders, subscriptions, billing
Does
Answers, checks status, drafts replies, tags and routes tickets
Gate
Refunds, credits and anything touching an invoice
Sales

Sales analyst

Prepares your salespeople before every call and keeps the pipeline honest afterwards.

Reads
CRM, email threads, meeting transcripts, product and pricing docs
Does
Account briefs, competitor notes, follow-up drafts, pipeline hygiene flags
Gate
Anything sent to a customer, and any discount
Finance

Revenue analyst

Watches recurring revenue the way a good analyst would, every day instead of once a month.

Reads
Billing, subscriptions, renewals, usage, invoices, ledger
Does
MRR and churn movement, renewal risk, billing anomalies, margin by product
Gate
Read-only by default — no writes to financial records
Back office

Quote & order agent

Turns a request into a correct quote or order, with your pricing rules applied properly.

Reads
Price lists, contracts, product catalogue, customer terms
Does
Builds quotes, validates configurations, prepares orders, flags exceptions
Gate
Every quote is approved before it leaves
Internal

Knowledge agent

The one your team asks instead of interrupting a colleague — grounded in your real documentation.

Reads
Confluence, SharePoint, Drive, wikis, process docs, HR policies
Does
Answers with sources, onboards new staff, finds the right owner
Gate
Follows your existing permissions — never shows what a user can't see
Bids

Tender & RFP agent

Drafts responses from what you've already answered a hundred times, so your experts only handle the new parts.

Reads
Past bids, product specs, certifications, security questionnaires
Does
Drafts answers with sources, flags gaps, tracks deadlines
Gate
Every submitted answer is reviewed and signed off
Training

Training coach

Gets new people productive faster and keeps the rest current — on your products, your processes and using AI itself.

Reads
Onboarding material, product docs, processes, release notes, past tickets
Does
Role-based learning paths, practice scenarios, quick checks, answers with the source
Gate
Never assesses or scores an employee — coaching only, no HR decisions
Reporting

Data analyst

Lets the team ask questions of the data in plain language, instead of queueing for a report.

Reads
Warehouse, operational databases, dashboards, metric definitions
Does
Answers with the query shown, builds charts, explains a movement, schedules recurring digests
Gate
Read-only, on defined metrics — no invented numbers, no writes
Contracts

Contracts & renewals agent

Reads what you signed and tells you before a date, a clause or a commitment becomes a problem.

Reads
Customer and supplier contracts, SLAs, price terms, renewal dates
Does
Extracts obligations, flags renewals and auto-extensions, compares terms against your standard
Gate
Flags and drafts only — no notice or amendment goes out unapproved

By channel

The same agent, reaching people where they already are. Voice changes the design more than any other channel: there's no scrollback, no link to click, and no time to think — so what it may settle on its own has to be drawn much tighter.

Inbound voice

Phone agent

Picks up when nobody can, identifies the caller, answers the routine questions, books or reschedules, and puts the rest through to the right person with a summary already written.

Never negotiates, never commits money, and offers a human the moment it's asked.

Outbound voice

Follow-up caller

Confirms appointments, chases missing documents, checks in before a renewal, and reports back what it heard — at a volume nobody has the staff for.

Announces it's an AI at the start, honours opt-outs, and stops on any sign of distress.

Messaging

WhatsApp, email & chat

One agent across the channels your customers actually use, keeping the same thread whether they wrote yesterday by email or called this morning.

Shared history across channels, with the same permissions applied in each.

By industry

The building blocks are the same everywhere. What changes is the data it reads, the language it speaks and the line it must never cross.

Education & training

Answers prospective students day and night, handles enrolment paperwork, tracks attendance and coursework, and drafts progress notes for tutors to check.

Never grades or decides admissions on its own.

Clinics & practices

Bookings, reminders, no-show follow-up, insurance paperwork and preparation instructions — the administration around care.

Nothing clinical. No advice, no triage, no diagnosis.

Accounting & professional services

Chases missing client documents, reads and files what arrives, answers routine client questions, and prepares the file before a person opens it.

Every filing and every figure is reviewed by the professional who signs it.

Hospitality & travel

Answers availability and booking questions in the guest's own language, handles pre-arrival and post-stay messages, and routes complaints to a person fast.

Rates and overbooking rules stay under human control.

Retail & e-commerce

Order and delivery status, returns, product questions answered from your real catalogue, and stock queries against live data.

Refunds and goodwill gestures wait for approval.

IT services, MSPs & distribution

Licence and subscription questions, renewal and consumption alerts, first-line ticket triage, quotes built from your real price lists.

Our home ground — it's the software we've spent years building.

Where we deliberately hold back: hiring decisions, credit scoring, insurance pricing and anything else the EU AI Act classifies as high-risk. We'll build in those areas, but as a separate engagement with the conformity work done properly — not as a card on a website. Vendors selling you screening scorecards in five minutes are handing you the risk along with the product.

Customer-facing

A chat agent that knows your business

Most chatbots repeat your FAQ page. Ours read the same systems your team reads, so they can answer the questions that actually need an answer — and hand over cleanly when they shouldn't.

  • Grounded in your own content, with the source shown on every answer
  • Reads live data: orders, subscriptions, tickets, accounts
  • Tells the customer it's an AI — as EU law now requires
  • Hands over to your team mid-conversation, with the full thread
  • Greek, English and more, in the same agent
Do we have licences left on the Acme account?
Acme has 120 Microsoft 365 E3 seats, 114 assigned. 6 free, and the renewal is on 14 October.
source: billing · subscriptions · updated 2 min ago
Add 10 more seats.
That changes their monthly invoice, so it needs approval. I've drafted the order and sent it to the account manager.
action held at approval gate
website help desk Teams Slack WhatsApp
Compliance

The EU AI Act applies to you as a user of AI, not just as a builder

The headlines said the deadlines were pushed back. Some were. The ones that hit ordinary companies first — staff AI literacy, chatbot transparency, labelling AI-generated content — were not. If you serve customers in the EU, this applies wherever your servers are.

2 Feb 2025
In force

Banned practices & AI literacy

A short list of prohibited uses, plus an obligation to make sure staff who use AI are trained to a level appropriate for their role.

2 Aug 2025
In force

General-purpose AI rules

Obligations for the model providers you build on. Relevant to you when you choose and document your suppliers.

2 Aug 2026
Now

Transparency (Article 50)

People must be told when they're talking to an AI, and when content is artificially generated. Enforcement powers and penalties apply from here.

2 Dec 2026
Next

Marking AI-generated content

Machine-readable marking of synthetic text, image, audio and video. This deadline moved by months, not years.

Dec 2027 →
Postponed

High-risk systems

The heavy obligations — for AI in hiring, credit, insurance, essential services and similar — were pushed out under the Digital Omnibus. More time to prepare, not a reason to stop.

What we actually do about it

  • Inventory every AI system in use and classify each one by risk tier
  • Fix the transparency gaps: AI disclosure in chat, marking for generated content
  • Write the usage policy and run the AI literacy training the Act requires
  • Map the GDPR overlap — what personal data reaches which model, and on what basis
  • Build the record-keeping: logs, human oversight, and who approved what

Penalties run to €35 million or 7% of worldwide turnover for the most serious breaches. Smaller companies get a lighter regime: the simplified framework now reaches firms up to 750 employees and €150 million turnover.

We're engineers, not your lawyers. We handle the technical and operational side and work alongside your counsel on the legal calls.

Everything else we do

The work that makes an agent last longer than the demo

Pick the piece you need, or the whole path. Every engagement ends with something running and your team able to run it without us.

Strategy

AI adoption & use-case mapping

We look at how your company actually works and find where AI pays off first.

  • Workflow and cost review across teams
  • Use cases ranked by value and effort
  • Build vs. buy vs. leave-it-alone calls
  • A roadmap with named owners and dates
Foundations

Data & knowledge grounding

The reason most AI answers are wrong: it was never given your knowledge properly.

  • Retrieval over your docs, wikis and databases
  • Connectors to Jira, Confluence, SharePoint, Drive
  • Custom MCP servers for your internal systems
  • Access that follows your existing permissions
Operate

AgentOps: evaluation & monitoring

An agent left alone drifts. This is the part almost nobody sells, and the part that decides whether yours survives.

  • Evaluation suites built on your real cases
  • Regression testing when a model changes
  • Tracing, error alerts, cost per task
  • Model routing to control spend
Security

Agent security review

An agent can act, not just talk. That changes the threat model.

  • Prompt injection and tool-abuse testing
  • Least-privilege review of every tool it can call
  • MCP server and connector hardening
  • What it may do alone, and what it may never do
People

Training & enablement

Most staff have had no real AI training. That's where both the risk and the missed value sit.

  • Role-based workshops, not generic slides
  • AI literacy training as the Act requires
  • Prompt and workflow playbooks per team
  • Greek or English delivery
Ownership

Fractional AI lead

The strongest predictor of AI reaching production is a named owner with authority. Borrow one from us.

  • 2–4 days a month, fixed fee
  • Owns the roadmap and the vendor decisions
  • Runs the review cadence with your teams
  • Reports to your board in plain language
How we work

Small, fast, and in production early

No six-month discovery. We pick one job that hurts, ship it, prove the number, then widen.

01

Assess

Interviews, a look at your tools and data, a shortlist of jobs worth automating, and the baseline numbers.

02

Pilot

One agent, built on real data, running against real cases with a target we agreed in advance.

03

Deploy

Permissions, approval gates, integrations, logging and training. Your team takes it over.

04

Operate

Evaluations, monitoring and cost control — plus the next role, on shared foundations.

Engagements

Three ways to work with us

Each builds on the last. Most companies start at the first and move up once the value is obvious.

Start here

AI Foundations

Get the company using AI properly, safely and with a plan.

  • AI Act check and usage policy
  • Shadow AI audit and approved tools
  • Role-based training
  • One quick-win automation
Talk to us
Build

Agents in production

We design, build and hand over agents that run a real part of your business.

  • Role-based agents: support, sales, revenue, back office
  • Data grounding and MCP integrations
  • Guardrails, approval gates and audit trail
  • AgentOps: evaluations, monitoring, cost control
Scope a project
Advanced

IdeaFlow

Our most advanced service: AI that writes and ships your software, inside a controlled lifecycle.

  • Full Agent Development Lifecycle (ADLC)
  • Idea → ticket → code → review → production
  • Expert, QA, security and customer in the loop
  • Wired into Jira, Confluence, Git and Claude Code
See IdeaFlow →
Advanced service

IdeaFlow — every idea in production, in hours

When agents stop assisting your engineers and start delivering software, the hard part is no longer speed. It's ownership. IdeaFlow runs a full Agent Development Lifecycle: an inner loop that ships and an outer loop that keeps it healthy — with a named reviewer on every change and an audit trail behind every merge.

01Idea, captured in plain language
02Context engine reads your tracker, wiki and code
03AI builds, with a live preview link
04Dev, QA, security and stakeholder review
05Merge, docs generated, ticket closed
Monitoring and feedback drive the next round
Why Aneveno

Engineers first, AI second

Our background is production software — billing platforms, multi-tenant SaaS, integrations that can't go down. That's the standard we hold AI systems to.

Production

We build things meant to run every day, not to demo well once.

Enterprise

Background in subscription commerce, billing and multi-tenant SaaS at scale.

MCP-native

We build on open standards, so your integrations aren't locked to one vendor.

EU-based

Greece-based, working across Europe, with GDPR and the AI Act taken seriously.

Get started

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