Transformation and delivery across 2 major banks, 1 oil company and 3 global IT integrators
Enterprise AI implementation starts with the systems a business already depends on. Banking, energy and IT delivery bring different constraints, from access permissions and data quality to legacy software and service continuity. That experience informs how Amalgama approaches AI workflow automation, including CRM and ERP integration, document processing and human review. The practical question is what happens when an automated step fails and someone still has to serve the customer.Founder and Managing Partner at Amalgama
Kirill Kiryushin turns AI into operating leverage
Twenty years across consulting, enterprise technology and business ownership turn ambiguous AI opportunities into controlled workflows and measurable decisions.

0114+Years in software and AI
0250+Clients across industries
03$35M+Value delivered
0498%Client retention
Experience changes what gets built
Models produce plausible output. Businesses need systems that fit permissions, handoffs, review rules, budgets and the way people actually work.
Start with the operational constraint. Introduce AI only where it can survive real ownership, exceptions and measurement.
The operating method
Four decisions keep an AI project attached to the business problem.
Choose the work
Find a workflow with enough volume, cost, delay, or risk to justify intervention.
Map the constraints
Account for systems, permissions, data quality, handoffs, exceptions, and the people who own them.
Keep control
Put review, confidence thresholds, logs, and escalation where the business consequence requires them.
Prove the result
Measure time, cost, accuracy, adoption, and business impact after the system meets real users.
Find a practical route through complexity
Strategic describes a recurring ability to spot relevant patterns, create alternative routes and choose a practical way forward in complex situations.
Gallup's CliftonStrengths assessment identifies 34 talent themes. Gallup reports more than 38 million people using CliftonStrengths worldwide.
Selected training and certifications
AI platforms, cloud, enterprise technology and project delivery.

Read the working argument
AI in Business Is Becoming a Workflow Problem
Why production value depends on exceptions, permissions, data, and ownership after the demo.
Read articleAI Consulting Is Not Traditional Consulting with Faster Slides
A practical comparison of advice, implementation, evidence, and responsibility after launch.
Read articleEnterprise AI Implementation from Pilot to Scale
How to move a useful pilot into production without losing controls, adoption, or economics.
Read articleResearch and review standards are documented in the Editorial Policy.
Start with one workflow worth fixing.
A focused assessment identifies the strongest use case, the constraints, and the practical next step.