We cover the full spectrum of AI transformation services, moving your organization from curiosity to high-margin automation. Whether we´re upskilling your workforce, building autonomous agents, or auditing your systems for security and leakage, we ensure every layer of your AI strategy is built for ROI.
geo (Generative engine optimisation) + SEO
GEO + traditional search
We help our clients´ brands show up in LLM results.
AI search engines like ChatGPT, Perplexity, and Google AI Overviews pull answers from specific sources. We make sure yours is one of them.
Core Services in Training and AI Transformation
We´re realistic optimizers. Most businesses don´t need a multi-month audit to identify improvements that can have out-sized impact on the bottom line. We head here first and aim to prove value in the first 30 days.
Agentic Design
Streamline ops with generative tools that turn pain points and delays into frictionless reporting and activity.
Vekt provides high-tier engineering for the development of autonomous AI agents—systems designed to perform multi-step reasoning and execute tasks with minimal human intervention. Unlike standard “wrappers” or reactive chatbots, our development approach utilizes agentic workflows that combine Large Language Models (LLMs) with custom tool-use capabilities. This allows for the creation of agents that don’t just answer questions, but proactively manage complex operational loops.
AI Training
From installation to daily operations, we equip your team to use AI safely, securely, and effectively in every part of your business.
Moving beyond basic prompting or surface-level tutorials, our training methodology focuses teaching on strategies that pair human oversight with advanced algorithmic reasoning. This empowers your teams to not merely utilize tools, but to architect and govern complex technological ecosystems.
Audits and Compliance
Vekt supports you through annual auditing and risk assessments, policy development, and operational security reviews to assure you´re compliant with evolving regulations.
We provide high-tier oversight for the assessment of enterprise AI deployments—frameworks designed to verify model integrity and ensure adherence to evolving regulatory standards. Unlike surface-level reviews or generic safety checks, our auditing process combines architectural analysis with stress-testing for bias and security. This allows for the delivery of systems that don’t just function, but operate within a verifiable and defensible governance framework.
What we do best
Primary Use Cases
Vekt´s clients typically deploy our work into Product, Process, or Support streams:
AI For Process and Automation
Accelerate invoicing, generate thorough RFP responses, bid quickly with agents that analyze project specs to produce fast, accurate, and high-margin quotes.
E-Commerce and Product Design
Use customized Vekt AI agents to automatically generate SEO-rich descriptions, high-fidelity product imagery, and translated listings to reach new markets instantly.
Customer Support
Deploy intelligent agents that resolve technical inquiries, rank escalations, and service requests instantly, reducing response times, headaches, and overhead.
What Every AI-Interested Business Should be Doing Right Now
Preparing for AI transformation isn’t about jumping on the latest tool — it’s about building a solid foundation so your first engagement delivers real ROI in weeks, not months of trial-and-error. Here are 6 practical steps every small business owner should complete before partnering with an AI team. Do these, and you’ll cut implementation time, reduce risks, and maximize impact.
Define Clear Success Metrics & Business Goals
Day 1
Before any AI work starts, decide what a big win looks like: cut invoice processing from five hours to 30 minutes? Reduce customer response time by 70%? Free up 10 hours/week per team member?
Tie these to hard numbers (time saved × hourly rate = €/$ impact).
Share these goals explicitly — it makes ROI tracking straightforward from day one.
Map Your Repetitive Processes & Identify High-Pain Bottlenecks
Day 2
List the tasks that eat hours every week: manual data entry, approvals, formatting, responding to routine inquiries, or copy-pasting between tools. Use a simple spreadsheet to score them on time spent, error frequency, and frustration level. Focus on processes that are rule-based or semi-repetitive. Doing this upfront gives your AI partner clear targets, so you avoid vague “make us more efficient” requests and move to high-ROI pilots.
Audit Your Current Data & Tools for AI Readiness
Day 3
AI thrives on clean, accessible data, so review where your key info lives (CRM, spreadsheets, email, etc.). Check for duplicates, outdated records, inconsistent formats, and silos. Note which tools you already use (Google Workspace, Microsoft 365, QuickBooks, HubSpot) and whether they have APIs or integrations. A quick 1–2 hour audit reveals gaps early; fixing them before engagement prevents the most common delays and ensures agents can pull real data without massive cleanup projects.
Document Key Workflows End-to-End
Day 4
Walk through 2–3 priority processes step-by-step: who does what, what triggers it, what tools are used, where decisions happen, and where handoffs slow things down. Use screenshots, simple flowcharts (even hand-drawn), or tools like Miro/Whimsical. This “process bible” is gold for an AI team — it lets them design agents that fit your exact reality, respect your compliance needs, and include smart human-in-the-loop checks where judgment matters.
Build Basic Team Buy-In & Upskilling Awareness
Day 5
Talk to your team about AI early — explain it’s augmentation (handling drudgery so they focus on high-value work), not replacement. Identify 1–2 “AI champions” per department who are curious and can test pilots. Share quick free resources (e.g., 15-min tutorials on prompting or using built-in AI in your current tools). This reduces resistance, speeds adoption, and means your team can own/maintain simple agents long-term after deployment.
Set Realistic Scope & Start with Quick-Win Use Cases
Day 6+
Resist the urge for “full transformation” Day 1. Pick 1–2 narrow, high-impact use cases (e.g., automated lead qualification, invoice data routing, personalized follow-up drafting). Prepare a short brief: pain point, current process, desired outcome, data sources, and constraints (budget, privacy, no new subscriptions). This positions you for an effective engagement — prototype fast, prove value, then scale to multi-agent systems.
Get the Vekt AI Playbook
Three pages, 30 minutes to an AI plan.