Adoption Sprint
2–4 weeks
A measured, transferable PoC running in a real workflow. Not a pilot graveyard; an operating base.
Output
DetailsPrioritized use cases · rapid PoC · enablement playbook · baseline metrics · structured handover.
Turkey's corporate AI adoption partner
We turn your AI investment into measured business results.
The question is no longer what AI can do; it is how your company works. We come with a method, not tools; we leave behind an operating model, not a deck.
What changes
The same budget; not a pile of tools but an operating model.
Flow in production
Shared RTCS-G language
Measured ROI
Lasting capability
Guardrails built in
Operating model
Investment in AI keeps rising, yet most companies see little in return.
Working with hundreds of companies, we keep seeing the same gap: investment grows, but the return never arrives because the operating model stays the same.
Field reading
74
74 out of 100 companies see no tangible value from their investment.
Whichever lens you look through, the picture is the same. What closes the gap is not another tool; it is a redesign of the way work gets done.
Our method works at three scales.
The same method operates at three scales: how a prompt is built, how a person's capability grows, and where a company is headed. A single frame ties all three.
Everything starts with the Diagnostic.
Your situation names the right engagement. The right engagement at the wrong maturity fails faster than the wrong one.
Entry gate
The Diagnostic. Two weeks. Three instruments. One roadmap.
An AI Readiness Survey, stakeholder interviews and a prioritized report covering 8–12 business scenarios. The report is yours; even if you don't continue with Lokomotif, you keep an actionable document.
What followsOne of three moves, depending on maturity
Workflow Rewire
6–12 weeks
An end-to-end workflow is rebuilt. Roles, measurement and governance are handled together. Not a tool roll-out; an operating rhythm.
Output
DetailsRedesigned workflow · ownership model · measurement dashboard · governance framework · risk protocol.
Agentic Scale
8–16 weeks
Agentic workflows are designed, tested and scaled. Not assistance; autonomous operation. With guardrails.
Output
DetailsAgentic workflow design · observability · phased scale plan · incident protocol · governance council.
Which side are you on?
You run the AI program. Start with the Diagnostic.
A use case map and a prioritization report in two weeks. Work delivered before any engagement.
You are building your own capability. Start with the trainings.
RTCS-G fluency, sector calibration, joining the Komünite. A shared language, not a certificate.
Diagnostic
Whichever side you start from, measure your AI maturity first.
The Diagnostic reads your current AI maturity and returns a prioritized roadmap: two weeks, three instruments, one report.
Start with the DiagnosticTestimonials
Companies, in their own words.
Nobody describes what changed after the training better than the companies themselves. A few excerpts, translated from their own words.
Delivering knowledge this dense, systematic and applicable in such a short time was one of the training's greatest strengths.
The Generative AI Literacy training program, attended by roughly 250 of our employees, was highly productive.
We matured applicable AI scenarios in areas such as talent acquisition, performance management, content production and operational efficiency.
Through the trainings we ran with Lokomotif AI, we moved past those uncertainties and reached a point of proper alignment.
It contributed greatly to our thinking on positioning AI as a tool that brings efficiency to our business processes.
It was a truly valuable experience that strengthened our vision and helped us assess AI from a strategic standpoint.
The exercises built on sample prompts helped the potential uses of AI in business processes take a much clearer shape in our minds.
With their practice-oriented content and clear delivery, these trainings fully met our expectations; they raised our teams' AI awareness and their motivation to use it considerably.
Discovery call
The most expensive step is starting in the wrong place.
In enterprise AI, most budgets evaporate on the wrong first step. The right starting point differs from company to company; a free 30-minute discovery call pins down yours.
