Path 1. Study and build it yourself
Assemble a team, methodology, data, infrastructure and governance, pick models, build processes and learn the hard way. It’s possible, but slow, expensive and risky: per RAND, more than 80% of AI projects fail.
There are two paths — and they differ sharply in speed, cost and risk.
Assemble a team, methodology, data, infrastructure and governance, pick models, build processes and learn the hard way. It’s possible, but slow, expensive and risky: per RAND, more than 80% of AI projects fail.
Faster, cheaper and lower-risk — if the partner has not only expertise but a platform where agents already work inside processes. That’s us.
We build the platform. AI agents are embedded at the software level, inside the processes — not bolted on by a third-party service. Hence accuracy, access control and an audit of every step.
A BPM platform used by government bodies, banks and national companies across Kazakhstan. Agents are built on real, proven processes.
Dozens of working processes across HR, finance, document flow, contracts and meetings — live from day one, no building from scratch.
A five-stage rollout roadmap — from discovery to production with measurable ROI, not an endless pilot.
An NVIDIA H200 cluster and local model inference — private AI inside the Kazakhstan perimeter, with no data sent out.
On-prem deployment, digital signatures, government-system integrations. Your data and AI never leave your perimeter — critical for the public and financial sectors.
You don’t need to build processes from scratch. Dozens of pre-configured processes where AI agents work from day one — by category:
Client names are drawn from public Documentolog materials and reflect the time of each deployment. Deployment stories →
Register and create a company workspace — then we’ll help you choose the first process and launch a pilot.