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// SOLUTION

AI consulting and AI readiness assessment

An assessment of processes, systems and data to decide where AI is worth using, where simple automation is enough and where neither is needed. It ends in a concrete, prioritized and measurable plan.

PROCESSESDATARISKSPRIORITIESPLAN AI ASSESSMENTORVIXLABS
// SOLUTION ARCHITECTURE
CONNECT WHAT ALREADY WORKS · ADD THE INTELLIGENCE THAT IS MISSING PROCESSESSYSTEMSDATA AI ASSESSMENTINTEGRATE · COORDINATEAUTOMATE · TRACEwithout replacing systems that still work PRIORITIESMEASURABLE PLANHUMAN DECISION measure → learn → adjust
// USE CASES
01Process and data assessment
02AI or automation: what fits
03Prioritized use cases
04Measurable implementation plan

Who it is for

For companies that know artificial intelligence can help them but are not sure where to start: which process to address first, which tool fits, what the risks are and how much work it involves. Also for teams that already tried something, such as a chatbot, an assistant subscription or a do-it-yourself automation, and did not get the result they expected.

AI, automation or neither

Many tasks do not need a language model. Moving form data into the CRM, sending a reminder or producing a fixed report is solved with traditional automation, which is cheaper and more predictable. AI adds value when there is natural language, documents that change format, cases that must be classified, messy information to search or conversations that do not follow a script. Part of the assessment is separating those situations so the company does not pay for complexity it does not need.

What the AI readiness assessment covers

  • Processes: where the team’s time goes, which tasks repeat and where errors or delays appear.
  • Systems: CRM, ERP, spreadsheets, email, WhatsApp, telephony and in-house software; what can be integrated and how (API, database, files).
  • Data: where the information lives, in what condition and who can access it.
  • Risks: personal or sensitive data, decisions that cannot be left to an automated system and industry legal requirements.
  • People: who will use the system, who supervises it and who has the final say.

What the company receives

  • A map of opportunities ranked by impact, effort and risk.
  • For each opportunity, what fits best: AI, simple automation, custom software or leaving it as it is.
  • A proposal for a first, well-bounded project with scope, integrations, success metrics and limits on what the system may do on its own.
  • An estimate of running costs: model usage, messaging, telephony, servers and maintenance.

How the work is done

  1. An initial conversation about the business and the problem behind the request.
  2. A review of processes and systems with the people who do the work, not only with management.
  3. A technical review of available integrations and data.
  4. Delivery of the assessment and the plan in plain language, with the decisions that belong to the company.

Common starting points

From assessment to implementation

The plan can be carried out by OrvixLabs or by the team the company chooses. When we build it, the first project is measured against the previous situation before it is expanded: response time, manual tasks removed, errors, conversions or whichever indicator applies. If it does not improve, it is corrected or dropped instead of adding more technology on top.

Non-negotiable criteria

Automating work does not mean automating authority. Actions with financial, legal or reputational impact stay under human approval; sensitive data is minimized before it reaches external providers; and every system records what it did and why. The details are in AI trust and control.

// RELATED SERVICESAI integration servicesConnecting AI models to company systems and data.→AI for small businessWhere to start when the team and the budget are small.→AI agent developmentAssistants that query systems and carry out tasks with permissions.→AI trust and controlEvidence, human authority and reversibility before automating.→Digital transformationProcesses digitized before adding AI.→AI implementation costBuild and running costs.→
// FAQ

Frequently asked questions

What does an AI consultant do?+

An AI consultant reviews a company’s processes, systems and data to identify where AI or automation creates value, with which risks and in what order to implement it. At OrvixLabs the assessment ends in a concrete plan that we can also build.

How much does AI consulting cost?+

It depends on the size of the company and the number of processes reviewed. We quote each assessment after a first conversation, and the assessment itself estimates both the build cost and the running cost of what it recommends.

What is an AI readiness assessment?+

It is a structured review of whether a company’s processes, data, systems and people are ready to use AI, and of which use cases are worth doing first. The result is a prioritized plan, not a generic score.

Do I need AI or just automation?+

If the task always follows the same steps with structured data, traditional automation is usually enough. AI is worth it when there is language, variable documents or cases to classify. The assessment decides process by process.

Is it useful for small businesses?+

Yes. For a small business the assessment is shorter and focuses on one or two processes with direct impact, such as customer messages or sales follow-up.

How does it relate to digital transformation?+

Digital transformation means changing processes with technology. An AI assessment is one part of that change: it defines where AI or automation improves a specific process, instead of adding tools without a plan.

What happens to my company data?+

We work with the minimum information needed and under confidentiality. If the project moves forward, we define which data may reach external providers and which must stay on your own infrastructure.

// ORVIXLABS

Tell us what you need to solve. We will tell you whether AI, automation or custom software fits, and what it involves.

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