Process first, model second
The assessment starts with time losses, costs and repetitive operations. For the selected process, we define baselines and pilot KPIs.
Working sessions with the business, architecture and data review. The result is a potential assessment, a roadmap and pilot KPIs; the pilot itself is the next stage.
Bank readiness for AI
Kazakhstan. According to a National Bank survey, more than half of financial sector organizations plan to adopt AI within the next year, but only 2% have taken it to scale — most get stuck between research and pilot because of data, talent and budget. Uzbekistan. The regulator sets the benchmark with its own scoring model and a strategy to 2030, and a few banks already hand early delinquencies to AI agents — the rest need a calculation of which process to start with.
Process, data, architecture and regulatory requirements are checked before the pilot
The audit identifies candidate processes, architecture and data constraints, and security requirements. Estimating costs and expected impact helps you choose a pilot or postpone implementation.
The assessment starts with time losses, costs and repetitive operations. For the selected process, we define baselines and pilot KPIs.
Availability, data quality and integrations define the constraints. The audit shows what to prepare before the pilot.
Access, confidentiality, personal data and logging are built into the pilot requirements together with information security and compliance.
Review of department tasks, candidate processes and implementation priorities.
Repetitive operations, time and cost losses, permitted AI actions and human oversight.
Expected costs and impact with assumptions; baseline metrics and KPIs for the first pilot.
Applications, APIs and server systems: available integrations and required improvements.
Sources, completeness, quality, access rights and data usage restrictions.
The scope of collection, cleaning and labeling for the pilot is agreed separately; personal data is masked.
Hosting, access, confidentiality and logging; requirements are agreed with information security and compliance.
A comparison of local and external models, ready-made services and AI Control Gate. The conclusion may be that AI is not worthwhile. AI products
An annual roadmap: process priorities, data and architecture preparation, constraints and a pilot plan with KPIs.
A report, roadmap, impact estimate and pilot plan with KPIs. Scope, price and timeline are set in the contract.
Testing the chosen solution on the client’s data. Scope and cost are agreed separately. AI products
Employees take part in working sessions and the audit; hands-on workshops and safe use of AI — AI for teams
Product research, CJM and a prototype in an agreed Discovery format. Discovery
“The most expensive mistake with AI is starting with the model. We start with the process: where the bank loses time and money, what data it actually has, what the regulator will say. The output is a roadmap and a pilot plan whose impact can be measured.”
Oleg KachalinCo-founder, CEO in Uzbekistan Blog “Usataya Baza”LinkedIn
With working sessions with process owners: tasks, losses and candidates for implementation. Then we review systems and data.
Full preparation in advance is not required. The audit needs available descriptions of data sources and approved access; cleansing and labelling are planned based on the results.
A one-year roadmap, an estimate of the expected impact, a pilot plan with KPIs, and requirements for data, architecture and security.
No. If the process, data and KPIs are already defined, a shorter readiness check before the pilot is possible.
Process owners, the architect, data owners, information security and compliance — 2–3 meetings with each.
A fixed audit price; scope and deliverables are set in the contract. The pilot is estimated separately.
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