What should produce more revenue, but doesn´t?
What we do
Core Services
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.
Process and Automation AI
Accelerate invoicing, generate thorough RFP responses, bid quickly with agents that analyze project specs to produce fast, accurate, and high-margin quotes.
Ecommerce
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.
Agentic Design
Streamline ops with generative tools that turn pain points and delays into frictionless reporting and activity.
Our eye for UX and CX sets us apart.
Sales Optimization
Drive revenue with AI-powered product recommendations and automated follow-ups that convert leads into loyal customers.
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.
Our Customers
Established PE firms, venture investors who aren´t seeing the value they expected after A-rounds, SMBs who have plateaued, entrepreneurs; Vekt is vertical and size agnostic.
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.
Map Your Repetitive Processes & Identify High-Pain Bottlenecks
Start by listing the tasks that eat hours every week: manual data entry, chasing approvals, formatting reports, 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 — these are prime for agentic AI automation. Doing this upfront gives your AI partner clear targets, so you avoid vague “make us more efficient” requests and jump straight to high-ROI pilots.
Day One
Audit Your Current Data & Tools for AI Readiness
AI thrives on clean, accessible data — review where your key info lives (CRM, spreadsheets, email, accounting software, etc.). Check for duplicates, outdated records, inconsistent formats, and silos. Note which tools you already use (e.g., 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 80% of common delays and ensures agents can pull/act on real data without massive cleanup projects.
Day Two
Define Clear Success Metrics & Business Goals
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 aligns your AI partner to deliver measurable outcomes, not just “cool agents,” and makes ROI tracking straightforward from day one.
Day 3
Document Key Workflows End-to-End
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.
Day 4
Build Basic Team Buy-In & Upskilling Awareness
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.
Day 5
Set Realistic Scope & Start with Quick-Win Use Cases
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 perfectly for an effective engagement — your partner can prototype fast, prove value, then scale to multi-agent systems.
Day 6+
Get the Vekt AI Playbook
Three pages, 30 minutes to an AI plan.