525
After-hours calls answered at DentOP
AI CONSULTING AND DEVELOPMENT
AI consulting and development for your business
Neo Vision helps companies decide where AI is worth using, train their teams and build it into daily operations. We connect artificial intelligence to the systems your people already use, including CRM and ERP systems, business software and company knowledge. Based in Bucharest, Romania. Working with companies across Europe and internationally.
87%
Shorter proposal turnaround at MHT
5.0
From 27 reviews on Clutch
2015
Shipping since
525
After-hours calls answered at DentOP
87%
Shorter proposal turnaround at MHT
5.0
From 27 reviews on Clutch
2015
Shipping since
We've rebuilt how we work around AI.
AI in every phase
AI is part of how we scope projects, plan the work, build software and review what we ship. People remain accountable for the decisions and the finished work.
The process around the tool
That experience shapes how we work with your company. We look at who gives a tool context, which systems it can access and who checks its output. We also plan what happens when the tool gets something wrong.
A way of working you keep
Your team should leave with a way of working it can keep using.
AI consulting is worth discussing when…
Where AI can change the work
Document processing
Turn PDFs, scans and spreadsheets into structured records, then route uncertain fields for review. Useful for procurement files, supplier offers and operational archives.
Sales and proposals
Match customer requirements to products or supplier offers, reuse relevant information and prepare a proposal for a person to check.
Customer service and voice
Answer recurring questions, capture requests and send the conversation into the CRM, with a handover when a person needs to take over.
Internal knowledge
Help staff find answers in approved company material, with access based on their role and references back to the source.
Operations and handoffs
Connect email, documents and business records so an employee can review exceptions rather than copy information between systems.
AI consulting, training and implementation services.
Start with the part you need.
We can assess opportunities across your business, train a team on its existing tools, or build a defined solution. Each engagement has its own scope and outputs.
Prices describe different scopes and are not a single program fee. Model usage, hosting and third-party licences are confirmed in the proposal. Ongoing training office hours are available from €1K/mo.
01
AI strategy and readiness assessment
1 to 6 weeks
Find the workflows where AI could improve a business metric, check the data and integration requirements, and decide what to build, buy or leave alone. You receive a ranked opportunity map and a costed roadmap your team can act on. €5K to €10K.
02
AI training and adoption for teams
1 day to 2 weeks
Help people use AI on the tasks they do every week. Sessions use your work and documents, followed by a prompt library, configured tools and short playbooks. For larger teams, we can run multiple sessions or train internal champions. €3K for a half-day workshop, €4K to €7K for a sprint.
03
AI solution design
1 to 3 weeks
Turn a chosen use case into workflows, integration requirements and a build scope. We define the user experience, prepare a prototype where useful, and hand over a prioritized backlog with an indicative implementation estimate. €2K to €6K.
04
AI agents and assistants
3 to 8 weeks
Build agents that answer from company knowledge, work with your business systems and carry out defined tasks. Projects can include customer support, internal assistants and voice agents, with permissions and human review appropriate to the work. €6K to €45K.
05
AI workflow automation
4 to 14 weeks
Connect the steps in a recurring process, including reading incoming documents, matching information, updating records and preparing outputs for review. We design exception handling alongside the main workflow so your team can see what needs attention. €15K to €95K.
06
AI knowledge hubs and RAG
1 week to ongoing
Connect an assistant to the company documents and records it needs to answer a question. Retrieval-augmented generation, or RAG, retrieves relevant information before a model responds. We build the retrieval, access controls and checks around your knowledge sources. €2K for the audit, €10K to €20K for the build.
07
Self-hosted agents with Hermes
30-day pilot to ongoing
Set up a Hermes agent application on your infrastructure or private cloud, connected to your tools and operating rules. We define permissions, approvals and cost controls. Model hosting and the data sent to model providers are agreed separately. From €1.9K for a 30-day pilot.
08
Embedded AI engineering
From 1 month
Bring a senior engineer into your team to work in your repositories and ship against your roadmap. The forward-deployed engineer model suits companies that need implementation capacity close to their own product and operations teams. Monthly retainer.
09
Technical leadership for AI projects
From 1 month
Get senior support for architecture, technical priorities and vendor decisions. CTO consulting can help your leadership team assess implementation proposals and keep software and AI work connected to the wider product roadmap. €200/h for advisory, €8K to €10K/mo as a fractional CTO.
AI already running in client workflows.
DentOP captured calls outside front-desk hours
We connected a Romanian-speaking AI phone receptionist to DentOP's existing telephony and CRM. The clinic's call log records 525 patient calls answered outside front-desk hours from 1 April to 14 September 2026. The agent captures requests and passes conversation records to the team.
MHT Experience reduced proposal turnaround
An AI system reads customer requirements and supplier offers, matches products and prepares pricing for engineer review. MHT's case study reports 87% shorter proposal turnaround, from 3 to 4 weeks to 2 to 5 working days.
RomActiv accelerated procurement evaluation
We built an AI copilot that extracts requirements and checks proposal evidence across tender documents. RomActiv's case study reports a 70% to 80% reduction in processing time. The expert reviews the output and remains responsible for the evaluation.
What working with us looks like.
01.
Map the process
We start by looking at a process and the result it needs to improve. Your team helps establish the baseline, including time spent, rework and exceptions.
02.
Choose the next step
The next step depends on what the baseline shows. It can be training, buying a tool, designing a system or fixing a dependency first.
03.
Build and test
For a build, we agree how success will be tested before development. Engineers work through the integrations and permissions and test representative cases. We review the results with the people who will use the system.
04.
Launch and hand over
Launch includes the operating instructions and ownership of the next decisions.
What your team keeps.
Assessment
Opportunity map, assumptions, data and process findings, build or buy recommendations, costs and priorities.
Training
A prompt library for the team's tasks, configured tools, playbooks and guidance for checking outputs.
Solution design
Defined workflows, integration requirements, a prototype where useful, backlog and indicative build estimate.
Implementation
Custom code and configuration, agreed evaluation cases, operating instructions and handover.
Ongoing work
Reviews of usage, quality and operating cost, with a backlog of changes.
Ownership
You can start with one engagement and decide the next step after reviewing its output. Your project files and custom code stay with you; third-party software and open-source components retain their own licence terms.
The tools should fit your work.
Everyday tools or a custom application
For everyday work, the answer may be ChatGPT, Claude, Gemini or Microsoft Copilot. A custom application may need model APIs, retrieval over company data, or an open-weight model running in a controlled environment.
Compared on your tasks
Where the choice affects the project, we compare candidates on representative tasks and data you approve. We look at answer quality and failure cases, integration effort, latency, operating cost and data handling. The recommendation explains the tradeoffs for your use case.
Integration and hosting
We can integrate with an existing CRM or ERP where its APIs and permissions allow it. Hosting choices and the route your data takes are agreed before implementation. Self-hosting an agent application and hosting its underlying model are separate decisions.
An AI opportunity should be specific enough to act on.
Workflow
Comparing supplier quotations against a customer's specification.
Business result to measure
Time to prepare a proposal and time spent correcting matches.
Inputs
Customer requirements, supplier offers and approved product information.
Proposed assistance
Extract product lines, suggest matches and prepare a comparison for review.
Human decision
An engineer confirms technical compatibility and the final proposal.
Test before rollout
Check suggested matches against an engineer-reviewed sample, including incompatible products.
Your assessment
This example shows the format. Your assessment uses your process, baseline and constraints.
Questions about choosing and implementing AI
An AI consulting company helps a business find where AI can improve its work. It also assesses the data and systems involved and helps decide how to implement AI. Neo Vision combines that work with team training and software development, so a selected use case can continue through implementation and handover.
Bring us a workflow you want to improve
Tell us what your team does today, where time is lost and which systems are involved. We'll discuss whether the next step is training, an assessment or a defined implementation.
You do not need an AI roadmap before the first conversation.