01
There is interest in AI, but no clear workflow to start with
The first step is to select the workflow, business outcome, and implementation path — and validate the data and constraints before committing to a platform or a major program.
AI for Business · Workflows · Systems · Execution
Vyacheslav Likhobabin
AI Implementation Expert for Business Operations
I identify workflows where AI can deliver measurable business results. I redesign how the team works and scale the impact.
01 · Referral situations
When to bring me in
When a business wants to put AI to work for a specific outcome — not run another experiment.
02
Back-office headcount keeps growing with the business
The goal is to find a workflow where AI can produce a measurable improvement: fewer manual steps and errors, shorter cycle times, and higher productivity without proportional headcount growth.
03
A core workflow is consuming too much time, money, or management attention
Manual work, documents, approvals, exceptions, rework, and dependence on key individuals make the process slow, costly, and hard to control.
04
AI needs to work within existing workflows and systems
The AI solution needs to operate across ERP, CRM, workflow and document systems, data, and integrations — rather than remain a standalone experiment.
05
The AI initiative is stuck between an idea, the business, and IT
A concept or pilot needs to be tied to a business outcome, process owner, architecture, and success criteria — with a clear path into production and broader adoption.
My specialty is implementing AI in complex back-office workflows where money, documents, people, risk, data, and exceptions converge — finance, procurement, project delivery, document operations, and customer support.
02 · Why trust me
Why you can trust me to implement AI
AI is evolving quickly. Successful implementation still depends on workflows, data, enterprise systems, teams, and disciplined execution. I bring 25+ years of hands-on experience across those disciplines.
25+ yearsin enterprise IT and automation · projects across major industries
100+major projects led from kickoff through delivery
20+specialists on a team I built and led
30+enterprise tools built for automation, integration, and AI-enabled workflows
AI products and solutions
Building R-BOS as an operating layer for the governed use of AI in business operations.
End-to-end enterprise implementation
Built an end-to-end project and product delivery practice spanning marketing, sales, implementation, and support. Led discovery, requirements, budgets, risk, vendors, enterprise systems delivery, and portfolio financial performance.
Teams and accountability
Built an IT function from the ground up for real estate developers. Built and led a team of 20+ specialists. Directed process redesign and a portfolio of up to five major projects at a time.
I turn an AI opportunity into an operating business workflow — with data, systems, team accountability, and measurable results.
03 · A safe first step
Start with one workflow
The first step is to choose one workflow and determine where AI can create measurable value, what data and operational changes are required, and how to launch a pilot without a major transformation program.
AI Workflow Assessment
- Map the workflow, systems, documents, rules, controls, and exceptions.
- Identify the tasks and decisions AI can handle and where human oversight is required.
- Validate the data, integrations, and constraints; identify the process owner, baseline, and target business outcome.
- Compare AI, workflow redesign, conventional automation, and build-versus-buy options.
- Define success criteria and a practical 90-day plan; decide on an AI pilot, data preparation, another solution, or no AI at this stage.
Set AI priorities
Select workflows and AI use cases, and define the target operating model, architecture, and roadmap.
Build and operationalize an AI pilot
Design the solution, integrate it into the workflow and systems, and lead the project or change program.
Lead and scale
Serve as a fractional or interim CIO/CTO, scale a working solution, or partner on product strategy and delivery.
You keep the assessment output whether or not we continue. If we move into implementation, I can lead the pilot or program, or take broader responsibility as a fractional or interim CIO/CTO.