Process Robotics and Engineering (RPA)

• Audit and potential assessment. We evaluate processes against automatability and ROI criteria and calculate savings before the start.
• First robot in 2–4 weeks. We demonstrate a working prototype on a single process using real data.
• RPA robot development. We program bots on PIX RPA, ROBIN, as well as UiPath and Automation Anywhere — with savings calculated in hours and FTE.
• Intelligent Process Automation (IPA). RPA + AI: document recognition (OCR), NLP and machine learning for unstructured data.
• Integration with corporate systems. 1C, SAP, Oracle, CRM/ERP and industrial systems without disrupting existing environments.
• Robotic automation in GIS and government systems. Integration with EIS, SMEV, the government services portal and the Federal Tax Service.
• 24/7 support. Monitoring, updating and recovery of bots so the robot doesn't "crash" at the most critical moment.

Cost depends on the number of processes, complexity of integrations and the required level of intelligent automation. We calculate savings before the start — for a specific process:

Expected result: within 1–3 months — the first robot in production with measurable savings; within 6 months — 5–10 robotic processes and savings of 2–5 FTE on supported operations. Payback for a typical project is 6–12 months, fixed in the contract before the start.

Entry rule: we begin with an assessment of one process and ROI calculation — you see the economics before you invest in the platform and development.

• Fast pilot. The first working robot — in 2–4 weeks. Evidence: cases with FTE and ROI savings calculations.
• ROI calculator. We calculate savings before the project starts, not after. Evidence: PIX RPA and ROBIN certifications.
• Russian platforms. PIX RPA, ROBIN and experience migrating from UiPath. Evidence: partner statuses of Russian RPA vendors.
• Integration with 1C, EIS and SMEV. We understand the specifics of Russian business and the public sector.
• IPA: AI + RPA. Robots handle not only clear-cut rules but also documents, emails and unstructured data.
• 24/7 support. Monitoring and prompt recovery so automation doesn't "crash" at the most critical moment.

For whom this quickly solves the problem:

• CFO of a bank or company — employees spend a lot of time on manual entry and routine; you need to cut operating costs and reduce the number of errors, seeing the financial model before the start.
• Operations Director of an industrial enterprise — the planning department is "drowning" in Excel and manual data transfers to ERP; you need automation that won't disrupt industrial systems.
• IT Director of a government agency — the task is to automate the processing of incoming citizen requests; you need robotic automation with integration with SMEV and government services in compliance with FSTEC requirements.

• The process is unique and non-recurring. If an operation is performed once and isn't repeatable, a robot won't deliver returns — we'll tell you honestly.
• The process is chaotic and undocumented. First we bring order to the procedures, then we automate. A robot shouldn't be expected to "fix" dirty data and an undocumented process.
• There's no economic benefit. If the savings on a process are less than the cost of development, we'll suggest not automating that area.
• You're not ready to grant access to systems. Deployment requires access and permissions for the robot — without this, work can't begin.

The primary step is a free assessment of the potential of one process. We calculate savings before the start: the time of the operation today and after the robot, the cost of manual labor, the number of errors and penalties. You see the economics before you invest.

The secondary step is a pilot robot in 2–4 weeks on real data from one process.

Then, down the chain — after automating the routine, we move on to AI consulting and agent-based scenarios where context and language are needed.

[Assess RPA potential] · [How we calculate robot ROI] · [AI consulting — the next step]

• Presidential Decree No. 250. Transition to domestic automation tools, including RPA, for critical information infrastructure organizations.
• Federal Law 152 "On Personal Data." Robots processing personal data must operate within a lawful data processing environment.
• FSTEC requirements. RPA platforms in government systems require compliance with information security requirements.
• Federal Law 87 "On Electronic Signature." Robots that sign documents require special authorization arrangements.