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AI and Automation Services

AI and automation services that run inside the business, on hardware the client controls

ZingZee designs, builds, and operates AI and automation services for companies in Cyprus and across Europe: private AI assistants, AI consulting, business process automation, data science, and the databases and governance beneath them. Each engagement runs through the five-phase delivery framework on ZingZee's own GPU hardware in Cyprus or on the client's servers.

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What AI and automation services are

ZingZee's AI and automation services cover the assessment, design, build, and operation of systems that carry out office work a company currently does by hand.

The group holds nine services, from AI consulting and private assistants through process automation and data science to the databases, governance, and engineers beneath them. A language model reads and writes text; a rule engine applies a decision the business already knows; a database holds the record both depend on. ZingZee, a software consultancy in Limassol, Cyprus, combines the three in each engagement and measures the result in hours returned, errors removed, or revenue added.

AI and automation services ZingZee provides

When AI
and automation services pay off.

Right fit

When AI and automation services pay off

AI and automation services pay off where staff read documents to extract a few facts, key the same figures into two systems, answer the same questions from the same folders, or wait for a monthly report to decide something that happens daily. An accounts team clearing invoices, a broker checking policy schedules, and a distributor keying orders from email are the shapes ZingZee sees most. They also pay off where the data must stay in the company, because ZingZee runs the models on its own GPU hardware in Cyprus or on the client's servers. The strategic assessment measures the current cost of each task before any system is proposed.

Wrong fit

When AI is the wrong answer

AI is the wrong answer where the rule is already known and belongs in ordinary code, where the source data is wrong or held in several conflicting versions, and where a mistake cannot be checked before it acts. A VAT calculation, a price list, and a stock allocation are written as tested code, and a model is used only for the reading, classifying, and drafting steps around them. ZingZee's assessment says in writing where a request is better served by a database view, a scheduled job, or a form, and no model is placed in front of a payment, a contract, or a customer without a check between them.

Use cases

  1. Clear an invoice backlog and keep the ledger current

    An AI inbox reads supplier invoices from photographs and PDFs into coded records for a person to approve, so a backlog of thousands is cleared in days and spend reaches the ledger within seconds.

  2. Check a policy schedule in minutes

    A document desk reads a schedule or wording against the client file, flags discrepancies with the source clause, and drafts the client letter. A check that took an afternoon takes under five minutes.

  3. Take orders from any channel without keying

    Orders arriving by email, chat, attachment, or photograph are parsed into structured lines, priced per customer, and written to the ERP, so the warehouse receives a pick list without the office retyping anything.

  4. Replenish stock from the sales rate

    Target stock levels move with sales, a morning pick list follows the aisle layout, and transfers post to the ERP on the scan, so stock-outs fall below one percent.

  5. Quote from a photograph and an address

    A quoting tool reads a customer's bill and satellite imagery, prices the job, and collects the application documents. A quote that began with a site visit is produced in under ten minutes.

AI and automation services that run inside the business, on hardware the client controls

Industries where ZingZee applies AI and automation

ZingZee has applied AI and automation services in insurance, where a commercial broker's schedules and renewals are read and compared by a policy desk; in financial operations, where a villa management group's invoices are read by an AI inbox into a live ledger; in retail and distribution, where a stationery retailer's replenishment runs on a live mirror of its ERP and a wholesale distributor's orders reach the warehouse without keying; in energy, where a solar installer quotes from imagery and a bill; and in automotive, where an importer's auction bids are set from a landed-cost model. The same services are offered to legal, logistics, and professional services firms.

AI and automation engagement scope

Deliverables

The working system on the agreed hardware, the integrations to the systems it reads and writes, the evaluation set, the audit log, and the documentation, in daily use by the client's staff at the end of the engagement.

  • Deliverables

    The working system on the agreed hardware, the integrations to the systems it reads and writes, the evaluation set, the audit log, and the documentation, in daily use by the client's staff at the end of the engagement.

  • Included as standard

    A strategic assessment with a measured baseline, role-based access mirrored from the source systems, logging of every automated action, monitoring of accuracy and cost, an operations runbook, and a recorded handover.

  • Environments and hosting

    ZingZee provisions a test and a production environment on its own GPU servers in Cyprus, on a dedicated cloud server, or on the client's hardware, and runs both until handover. Cloud contracts are held in the client's name.

  • Priced separately

    GPU hardware on the client's premises, additional document sets or workflows after the agreed first set, voice and messaging channels, data clean-up identified by the assessment, and any platform the automation sits inside are quoted as their own items.

  • What the client provides

    Access to the people who run each process, a sample of the documents and data in their current form, credentials for the systems involved, reference answers for the evaluation set, and a sponsor who approves each release.

  • Outside the engagement

    Cloud subscriptions, electricity and network for on-premises hardware, commercial model licences where one is chosen, and legal advice on data protection are the client's to arrange, with ZingZee supplying the technical inputs each one needs.

How an AI and automation programme with ZingZee runs

Every AI and automation programme with ZingZee runs through the five-phase delivery framework. The strategic assessment measures the tasks, the documents, and the data sources, and states the current cost of each task in hours or money. The AI roadmap fixes which tasks get a model, which get a rule, and which get a plain integration, in order of return. Integration and deployment connects the systems, indexes the documents, and puts the first workload into daily use. Adoption and enablement trains the staff who use the system and the team that operates it. Governance, optimisation and scale re-runs the evaluation set on every change and reviews accuracy, cost, and access as usage grows. Each phase opens with a scoping workshop and closes with a hardening workshop and a delivery workshop, where the client's staff use the release and sign it off.

  1. Strategic assessment

    We assess how the business operates today: its processes, its data and the systems it runs on. From that we identify the use cases with the highest return and confirm the organisation is ready to adopt them, so the programme starts from a defined baseline.

  2. AI roadmap

    Findings become a phased roadmap that balances early wins with the longer build. ZingZee sets the milestones, the resourcing and the governance that keep delivery on schedule and aligned to business objectives.

  3. Integration and deployment

    Our engineers develop, validate and deploy the solution into your production environment, integrated with the enterprise systems you already run and sized for the workloads it will carry.

  4. Adoption and enablement

    Enablement programmes prepare business users and technical teams to work with the new capability, and structured change management ensures the organisation captures the full value of what has been deployed.

  5. Governance, optimisation and scale

    Ongoing governance, monitoring and optimisation keep the solution accurate, compliant and performing. Proven solutions are then scaled across departments and regions under the same data governance standards.

How ZingZee delivers

AI and automation tooling

ZingZee's AI and automation practice uses one set of tools across the group. The tooling covers:

  1. Open-weight language models served on ZingZee's own GPU hardware in Cyprus or on the client's servers
  2. Python services for extraction, classification, orchestration, and tool calls, with every request logged
  3. Postgres for the system of record, the audit log, and the evaluation set, with vector search for retrieval
  4. Typed integrations to ERP, accounting, booking, CRM, and messaging systems, with retry and audit trails
  5. Review screens and dashboards built in React and Next.js over the operational database
  6. An evaluation runner that scores every model, prompt, or rule change against approved answers

AI and automation engineering practices

Every automated output is traceable to the input it read, the rule or prompt it applied, and the version that produced it, and the trace is kept in the audit log. A field with a known rule is extracted by code, and a model is used only where reading, classifying, or drafting is required. Writes to business systems carry an approval step until the client removes it in writing. The evaluation set is a test suite: a release goes live only when its score on the approved answers is at or above the last release. Access is mirrored from the source system, no client data is used to train a model, and secrets and credentials are held outside the codebase.

Cost and time for AI and automation work

The cost of AI and automation work depends on the number and condition of the data sources, the volume and variety of the documents, the accuracy the task demands, the systems to connect, and the hosting choice. A single automation over one clean system, such as an invoice inbox or a report, is a matter of weeks. A programme that reads several systems, drafts replies, and runs a department's workflow is a matter of months and goes live one workload at a time. Private hosting carries a hardware or server cost that ZingZee sets out beside the per-request cost of a public model. ZingZee provides a written estimate after the strategic assessment and phases the budget by return.

What happens next?

  1. You send the tasks that take your staff time, the documents and systems involved, and the outcome you want to measure.

  2. An engineer reads it and replies within two working days with the shape of a strategic assessment.

  3. You sign a non-disclosure agreement if you need one, and you receive a proposal with the phases, the estimate, and the team.

Frequently asked questions

Straight answers on AI and automation work with ZingZee.

Get a free AI and automation consultation

Send the tasks that take your staff time, the documents and systems involved, and the outcome you want to measure. An engineer replies with the shape of a strategic assessment.

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