Risk of spending without results
The Gartner forecast points to risks of agentic projects, not to the outcome of a specific deployment. R&D tests quality and expected value in a limited experiment.
Model experiments, a prototype and user testing. The result is an assessment of quality, costs and limitations for the pilot decision.
Sandboxes and pilots in the region’s fintech
Kazakhstan. The regulator itself has become a testing ground: a digital tenge pilot with budgets, a National Bank sandbox for crypto payments, and venture investment in AI has grown fivefold in two years: testing a hypothesis with a prototype is cheaper than learning about it from a competitor. Uzbekistan. The Central Bank has opened its sandbox to foreign fintechs, is launching an innovation hub and expects 20–30 fintech startups a year: the window for pilots with banks is open.
R&D for your task tests an AI hypothesis in a limited experiment before full-scale development
Metrics and thresholds are set before the experiment. Models are compared on permitted data; the result may confirm the hypothesis, refute it or call for further testing.
The Gartner forecast points to risks of agentic projects, not to the outcome of a specific deployment. R&D tests quality and expected value in a limited experiment.
The choice depends on the task and permissible processing. Comparison on an agreed sample: quality, costs and limitations.
Target users assess the prototype’s clarity, trust and barriers. Observations and metrics complement the technical assessment.
Hypothesis, metrics, thresholds and possible conclusions. Experiment scope and timeline are set in the contract.
Comparison of local and external models by quality, cost and data processing conditions. Options include OpenAI, Anthropic and Qwen. AI partnerships
Access agreed with information security, preparation and labelling with experts, required masking; a separate sample for quality testing.
Iterations of prompts and approaches; fine-tuning if needed. Testing on the test sample and with experts, a report on each iteration.
A prototype on agreed data; Rocket Crew and Rocket Insight Lab are used where they fit the task. Rocket AI Tools
Scenario testing with target users in the UX lab; fixes and retesting. UX lab
Estimated costs of models, infrastructure and support at the expected load, compared with the expected impact.
Permitted data, processing, access rights and logging are agreed with information security and compliance before the experiment. Constraints are taken into account when choosing the model. AI Control Gate
Quality, cost estimate, constraints and observations; a recommendation to pilot, to stop or to test further. AI products
Experiments, prototype, validation and report; scope and timeline are agreed. Price set in the contract.
A pilot with agreed KPIs and suitable tools; scope and estimate are handled separately. AI products
AI readiness audit: processes, data and potential use cases; expected impact and a validation plan. AI readiness audit
Joint experiments with vendor products for the Kazakhstan and Uzbekistan markets.
“A lab exists so you can fail cheaply: a limited experiment shows what the model can do, what a request costs and whether people trust it. That is how we tested our own tools too, such as Rocket Crew.”
Oleg KachalinCo-founder, CEO in Uzbekistan Blog “Usataya Baza”LinkedIn
R&D tests a hypothesis in a limited experiment. A pilot tests performance on a selected process with KPIs; scope and terms are agreed separately.
Local and external models, including OpenAI, Anthropic and Qwen. The choice depends on the task, the data, availability and processing terms.
Data transfer depends on the chosen environment, model and integrations. Permitted data and processing routes are agreed in advance; masking alone does not guarantee anonymisation.
A negative or inconclusive result is recorded in the report: constraints, possible changes and whether further testing is needed. A pilot is not launched automatically.
The process owner, experts for data preparation and evaluation, information security and compliance, and the target users of the prototype.
A fixed price for an agreed R&D sprint. Models and the environment are billed by usage; limits and payment terms are set in the contract.
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