Claude Spark
AI SMM / Communications and Content
“Most teams don’t need more AI-generated posts. They need a content process that can survive Tuesday. Claude Spark explains how AI SMM turns scattered meaning into a measurable workflow.”
Reviewxf(AI)result
AI FUNCTION IMPLEMENTATION STUDIO
We integrate AI functions into your business operations.
From strategy to a step-change in current team productivity and/or lower costs.
START
AI Strategy
1 week for audit, opportunity mapping, and rollout planning.
PILOT
One function
1-2 months for launch, setup, and integration.
SCALE
Scale-up
Careful rollout of AI functions across key workflows.
ECONOMY
Clear ROI
Focus on productivity growth and/or cost reduction.
Why it may not work
The problem is not that companies lack AI tools. It stalls when AI is not embedded into processes.
Most companies have already tried AI. But between "interesting" and "working in the business," there is usually a gap in processes, data, security, process ownership, and change management. That is why AI stays at the level of demos, bots, and disconnected experiments.
Turn AI tools into working functions inside real company processes
First identify where AI will genuinely create impact
Launch one function at a time — safely, on your data and in your systems
Measure results and scale only what works
Core offers
Three entry points. One outcome: working AI functions in your business.
AI Strategy for Your Business
An intensive for owners and executives to define the right AI scenarios, priorities, constraints, architecture options, and implementation order.
from €3,000 · 1 week
Discuss strategyPILOT
One function
1-2 months to launch, set up, and integrate.
from €6,000 · 1–2 month pilot
Discuss pilotAI Function Collection
Ten working AI functions named after the people who changed how we think, calculate, explain, test and create.
Claude Spark
AI SMM / Communications and Content
Content planning, social media, tone of voice, post drafts, and an approval layer.
ReviewHypatia Copy
AI Copywriter / SEO Author / Expert Text Function
SEO articles, expert blogging, content structure, target queries, and editorial workflow.
ReviewSocrates Support
AI Customer Support Specialist / Client Dialogue Function
Knowledge-base replies, helpdesk, email, messaging, routing, and quality control.
ReviewAlan QA
AI QA Engineer / Assistant Tester
Test scenarios, regression, change analysis, QA documentation, and test prep.
ReviewAda Flow
AI Executive Assistant / Management Routine Function
Meetings, email, follow-up, tasks, prioritization, and control of management routines.
ReviewMichael Deal
AI Sales Manager / Sales Function
CRM, lead qualification, follow-up, commercial emails, and deal discipline.
ReviewNikola Stack
AI Software Developer / Engineering Assistant / Engineering Automation Function
Code drafts, reviews, tests, documentation, and engineering workflow support.
ReviewFlorence Insight
AI Analyst / BI Specialist / Analytics Function
Operational analytics, BI questions, reporting, metrics, and management insights.
ReviewGrace Corp
Corporate AI Assistant / Corporate Knowledge Function
Internal knowledge base, corporate answers, access rights, search, and knowledge standardization.
ReviewLeonardo Scale
AI Strategist / Architect of AI Function Implementation
AI strategy, opportunity mapping, pilot prioritization, ROI, and AI workforce scaling.
ReviewAI functions work with your systems
AI functions work with CRM, ERP, Helpdesk, Email, Git, CI/CD, and internal knowledge bases.
Integrations are chosen for the process, not to fill a feature list.
Case studies
Not just cool AI features. But working functions with measurable results.
B2B business — AI sales support
–70%quote preparation cost reduction
Problem: Thousands of commercial proposals every month, bland and error-prone.
Solution: Client enrichment (revenue, arbitration, public procurement participation, etc.) and preparation of a persuasive proposal with an economic impact calculation for a specific lead.
Read related testimonialTrading company — AI customer support
–35%payroll cost reduction
Problem: Inconsistent response quality, high support load, and fragmented knowledge across systems.
Solution: AI customer support specialist connected to knowledge base, helpdesk, email, and messaging. Started in draft + approval mode.
Read related testimonialIT company — AI Q&A function
–50%QA payroll reduction
Problem: Too many repetitive QA operations, bottlenecks in test preparation and regression work.
Solution: AI Q&A engineer connected to knowledge base, Git, CI/CD, and testing artifacts.
Read related testimonialHow we work
Not just configure and train an AI function. But embed it into a real process.
01
Define the goal, priority, workflow, data, and success criteria
02
Design the AI role, architecture, security, and approval rules
03
Build the MVP / pilot with the required sources and integrations
04
Evaluate quality, safety, and operating impact
05
Scale only what proves value in the pilot
PROCESS
Pilot on real data
A short path from design to live validation in your systems.
Security and control
The autonomy model should match the risk of the workflow.
Cloud, VPS, or on-prem LLM
Deployment environment chosen to match your data and security requirements
Logging and audit trail
Full history of AI actions for control and analysis
RBAC and policy-based access
Role-based access model with policies and limits for each agent
Human approval for high-risk actions
Risky actions go through an approval layer before execution
Retention and data handling rules
Data retention policies and deletion rules on demand
Draft-only to limited autonomous
Autonomy level matched to the complexity and risk of the workflow
Expertise
A rare blend of expertise in AI, IT, operating processes, and change leadership.
Vladimir Filipyev
CEO
More than 20 years of experience at the intersection of IT products, go-to-market execution, and operational transformation. Led products from idea to commercial operation, managed business development, marketing, sales, and product teams. Background includes running an IT company as CEO / Product Owner, with team change leadership from 10 to 400 people.
20+ years in business IT, product management, and operating model change
CEO / Product Owner with hands-on product launch and commercialization experience
Managed sales, marketing, support, and engineering-driven transformations
Bringing new products to market and delivering record commercial outcomes
Project budget
No surprises or hidden costs. With clear budget logic.
AI Strategy
from €3,000
Typical: €5,000–€7,000
Intensive: use cases, priorities, architecture, roadmap.
1 week
Discuss strategyImplementation of one AI function
from €7,000
Typical: €11,000–€29,000
Audit, architecture, pilot, evaluation, rollout, and support.
1–2 month pilot
Discuss pilotMulti-function rollout
Custom scope
Typical: from €37,000
Multiple AI functions, scaling, and ongoing operational support.
2–3 month rollout
Discuss scalingReviews
Short notes from working roles.
If you need a more practical breakdown of implementation scenarios, this is where you will find AI function reviews and a little irony.
Hypatia Copy
AI Copywriter / SEO Author / Expert Text Function
“AI copywriting is not about producing more words. It is about turning expert knowledge into search content that survives a real buyer’s question.”
Review
Socrates Support
AI Customer Support Specialist / Client Dialogue Function
“AI support does not begin with a chatbot. It begins when the company admits its knowledge base has memory problems.”
ReviewFrequently asked questions
Do you sell consulting or real implementation?
Both, but in the right order. First, AI Strategy when clarity is needed. Then implementation of one AI function as a pilot-first project.
Is this SaaS or a project?
The core offer is service-led implementation. Secondary packaged solutions can be launched as focused pilots.
What systems do you support?
CRM, knowledge base, ERP, helpdesk, email, messaging, Git, CI/CD, databases, and other sources via API, export, or project-specific integration.
What level of autonomy is possible?
Anything from draft-only to limited autonomous actions. For high-risk actions, we recommend human approval.
How fast can you start?
AI Strategy takes 1 week. A pilot usually takes 1–2 months. Rollout takes 2–3 months.
Who is this best for?
Owner-led SMBs and mid-market teams that need a clear AI use case, a measurable pilot, and practical implementation without a long enterprise prelude.
Who is this not for?
Teams looking for a cheap overview lecture, a "magic button," or generic AI storytelling without process change.
What happens after a request?
We reply within 1 business hour, clarify the context briefly, and propose the next step: a strategic consultation or a pilot discussion.
Next step
Let's define where AI should start in your business.
Briefly describe your company, the task, and your needs. We will tell you honestly whether our experience fits your case, whether you need a strategy/pilot, or whether it is too early to start.
Get in touch