We build digital products that work for your business
Our goal is IT that makes money for your business instead of burning budget. CIO-level consulting, software development and AI adoption — from idea to a working product.

Evgeny Krivosheev
Founder · CIO/CDTO
Where AI already delivers
Sales
+30%
lead-to-deal conversion
An AI assistant qualifies leads, drafts proposals and follows up until the meeting. Managers spend time on live deals only — the funnel speeds up without growing headcount.
Legal
−80%
time per contract review
A contract is analyzed in minutes instead of hours: AI flags risky clauses, checks case law and suggests ready-to-use amendments.
Accounting
98%
document recognition accuracy
Invoices and receipts are recognized automatically, postings and reconciliation run without manual entry. Fewer errors — fewer fines and penalties.
Finance
×10
faster management reporting
Revenue and cash-gap forecasting, real-time plan-vs-actual and reports on demand in plain language — without waiting for month-end close.
Customer support
80%
of requests resolved without an agent
An AI agent replies instantly, 24/7: routine questions are closed automatically, complex ones go to a human with the full conversation history.
HR & recruiting
−90%
time spent on CV screening
Hundreds of applications scored in an hour against your criteria. AI prepares interview questions and a personal onboarding plan for every hire.
Marketing
×5
faster content production
Copy, creatives and landing pages for every audience segment, A/B hypothesis generation and campaign analytics — with half the team.
Logistics & warehouse
−25%
capital frozen in inventory
Demand forecasting per SKU, route and stock-level optimization: less downtime, fewer stockouts and less dead stock.
What we do
Building the IT function turnkey
IT from scratch: org structure, ITIL/ITSM processes, budget, KPI/SLA, sourcing model.
ПодробнееSaaS platforms
Multi-tenant products, billing, customer portals. From MVP to scale.
ПодробнееAI adoption in business processes
From simple to complex: automation, OCR+LLM, scoring, analytics.
ПодробнееSpinning IT off into a business unit
IT as a profit center: P&L, tax optimization, taking IT products to market.
ПодробнееWeb apps and websites
Portals, corporate systems, e-commerce, landing pages.
ПодробнееAI agents for business
Multi-agent systems for a task: verification, support, sales, control.
ПодробнееHow we work
One process for every direction — consulting, development, AI adoption and training: from discovery to a measurable result. And how every step differs from a typical contractor.
- 01
Discovery and goals
We dive into the business: an audit of processes, systems and data, interviews with the team. The goal is set in measurable terms — for an IT strategy, a product, AI adoption or training.
- Audit of the IT landscape, processes and data
- Interviews with executives and key users
- A map of problems and quick wins
- Goals in measurable terms — KPIs, not “make it better”
Sometimes the honest outcome is “you don't need this”. We save your money instead of burning the budget.
- 02
Solution and business case
We design the solution for the task: architecture and stack, a transformation plan or a training program. The business case comes before the start: TCO, NPV, payback period.
- Solution architecture, stack and vendor selection
- A roadmap with stages and checkpoints
- Budget and payback model: TCO, NPV, return period
- Risk assessment and mitigation plan
The solution is designed by a practicing CIO and HSE lecturer — you buy an outcome, not man-hours.
- 03
Iterative delivery
Short iterations with visible results: development sprints, consulting project stages or corporate course modules.
- 2–3 week sprints with a demo at the end of each
- A task tracker open to the client at any time
- Working releases instead of progress presentations
- A weekly status without bureaucracy — 30 minutes
A working result every two to three weeks — a feature, an adopted process or a trained group.
- 04
Quality and acceptance
Automated and load testing for software, pilot groups for training, checkpoints with acceptance criteria for projects.
- Automated and load testing for software
- Pilot groups and learning metrics for training
- Acceptance criteria for every stage — in the contract
- Security and personal-data compliance checks
Acceptance criteria are fixed in the contract — quality is verified, not declared.
- 05
Adoption and launch
Launch into real operations: deployment and data migration, regulations and processes, user training and team on-duty support during the first weeks.
- Deployment, data migration, system integrations
- Regulations, processes and team instructions
- User training and learning materials
- Our team on duty during the first weeks
We adopt together with your team: resistance is resolved by training, not by orders.
- 06
Support and growth
SLA-based support, monitoring and backups, product growth and change support after the project.
- An SLA with fixed response times
- Monitoring, backups and security updates
- A growth roadmap for the next 6–12 months
- Knowledge transfer to your in-house team
We don't disappear after launch: a fixed SLA and a growth roadmap in the contract.
Cases
From the blog
How to tell your business is ready for AI
Five signs AI will pay off in your company — from repetitive routine to data nobody reads. And three cases when it is too early.
ReadAn MVP in three months: how not to drown in development
Why “six-month” projects take two years, and how a fixed scope, sprint demos and acceptance criteria save up to half the budget.
ReadAn IT budget without pain: where the money leaks and how to stop it
Typical IT budget leaks in mid-size business: duplicate licenses, zombie servers, contractors without SLAs. A one-week audit checklist.
ReadFAQ
Let's discuss your project
Tell us your task — we'll propose a solution and estimate ROI.
Send a request