AI readiness assessment
Evaluate your data, systems, skills and governance for AI adoption.
AI Consulting
An AI strategy that turns hype into results
Practical AI consulting that identifies where AI creates value in your business and how to implement it safely and cost-effectively.
- Since 2014
- Full code & IP ownership
- NDA on request
AI readiness
72
Data · Systems · SkillsUse casesimpact vs effort
Effort →Impact →
AI roadmap
Q1Support assistant pilot
Q2Invoice automation
3 quick wins foundReady to pilot
Overview
Clarity before investment
Every business is being told to “use AI”, but it is not always clear where it fits, what it will cost or what the risks are. Investing in the wrong use case wastes budget and erodes trust in AI internally.
Our consultants are engineers who build AI systems. We assess your processes, data and technology, identify the use cases with real return, and give you a prioritised roadmap with costs, risks and a plan to get started.
AI Consulting at a glance
- AI readiness assessmentEvaluate your data, systems, skills and governance for AI adoption.
- Use-case discoveryWorkshops across departments to identify and score AI opportunities.
- AI roadmapA phased plan with priorities, budgets, timelines and success metrics.
- Build vs buy adviceCompare AI tools, platforms and custom development for each use case.
What we offer
Consulting services
Find the AI use cases that pay off
Use-case discovery
Workshops across departments to identify and score AI opportunities.
AI roadmap
A phased plan with priorities, budgets, timelines and success metrics.
Build vs buy advice
Compare AI tools, platforms and custom development for each use case.
AI governance & policy
Guidelines for responsible use, data privacy, security and human oversight.
Team enablement
Training for leadership and teams on using AI tools effectively and safely.
Capabilities
What we assess
Engineering depth that keeps your product fast, secure and easy to evolve.
- Business goals and key processes
- Data availability, quality and access
- Current systems and integration options
- Value, effort and risk of each use case
- Model and vendor options with cost estimates
- Data privacy and regulatory considerations
- Security risks such as prompt injection and data leakage
- Skills and change-management needs
- Build, buy or partner recommendations
- Metrics to measure AI return on investment
- Pilot project definition
- Long-term AI operating model
Our approach
How we think about every project
Strategy first
We start with your business goals, users and constraints, and turn them into a clear scope, architecture and roadmap before writing code.
Solid engineering
Clean architecture, code reviews, automated tests and secure coding practices keep your product fast, stable and easy to extend.
Predictable delivery
Short sprints, regular demos and transparent communication mean you always know what is done, what is next and what it costs.
Technology
The stack we use
Proven, well-supported technologies chosen for your requirements.
- OpenAI
- Anthropic
- Meta Llama
- Mistral
- Microsoft Copilot
- Google Workspace AI
- AWS Bedrock
- Azure AI
- LangChain
- MCP
- n8n
- Vector databases
- NIST AI RMF
- ISO/IEC 42001 concepts
- Data protection checklists
How we work
A clear process from idea to launch
- STEP
Kick-off
Align on goals, scope and the stakeholders to involve.
- STEP
Discovery workshops
Explore processes and pain points with each team.
- STEP
Assessment
Review data, systems, risks and opportunities.
- STEP
Prioritisation
Score use cases by value, feasibility and risk.
- STEP
Roadmap
Deliver a phased plan with budgets and success metrics.
- STEP
Pilot support
Help launch the first project and measure results.
We interviewed shops in many countries, and finally we got some professional help in making a decision. We decided to go ahead with Webcarving in India. It is really the best decision we have made so far for the business.
Mike BozorgiCTO, OrcaParts
Deliverables
What you get
- AI readiness report
- Scored use-case portfolio
- Phased AI roadmap with budgets
- Build vs buy recommendations
- AI usage and governance guidelines
- Pilot project plan
Frequently asked questions
We are new to AI. Where should we start?
With a short assessment and discovery workshops. We identify a small, high-value pilot that proves results before larger investment.
Do we have to build with Web Carving afterwards?
No. The roadmap is yours. You can implement it with your team, another partner or with us.
How long does an AI assessment take?
Typically two to four weeks, depending on the number of departments and systems involved.
Do you help with AI policies for employees?
Yes. We help you define practical guidelines for using AI tools safely, including data privacy and review rules.
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Tell us about your project and get a free consultation with a clear plan, timeline and estimate.