Armakuni has been supporting the identity platform for the past 6 months and has exceeded all expectations. Charles loops me into the conversation right away. Armakuni is part of the One Team.
The bottleneck on a Connect migration is rarely the platform. It's the call flows: hundreds of them, each one a tree of conditions a consultant has to rebuild by hand. FlowShift reads the source platform and converts four in five automatically. Your QA team signs off the diff instead of writing the flows.












All three land in week one, before any consultant touches the Amazon Connect console. The flows arrive ready to import, the knowledge base arrives chunked the way Q in Connect expects it, the TCO model arrives in the shape finance already builds decks from.
Direct Genesys Cloud CX API integration
Genesys PureConnect export parser
Avaya Orchestration Designer XML parser
Cisco UCCX/UCCE script parser
Automatic configuration inventory
Conversion report per flow
AI injection recommendations per flow
Flags redundant branches, dead-end nodes
Complexity score per flow
Phased migration plan
Extracts Genesys Knowledge articles via API
Chunk sizing, heading hierarchy, metadata tagging
KB readiness score per article
Gap analysis vs common intents
TCO calculator (1, 3, 5 year projections)
Migration readiness score
Risk rating per flow
Overall effort estimate
Migrating from Genesys Cloud CX, PureConnect, Avaya, or Cisco and want flows converted, not manually recreated.
Told migration will take 6-9 months and want to know how much of that is avoidable manual work.
Want to replace legacy IVR with Lex bots and need recommendations on where AI fits in each flow.
KB needs to work in Q in Connect from day one, not discovered as a problem weeks after go-live.
Need a TCO comparison for finance that shows current licensing vs Amazon Connect with 1, 3, and 5 year projections.
Migration is part of a broader AWS move and the contact centre is one workload among many.
Most migrations take months because someone
is recreating your call flows one by one.
FlowShift converts 75 to 80% of them automatically.
A leading premium wildlife stock footage platform built agentic AI inside their content pipeline with the orchestration layer in their AWS account.
Read use case →A regional agricultural cooperative in the U.S. Midwest deployed production AI with the controls documented and the platform running in their account.
Read use case →Award-winning LMS provider for enterprises and mid-size organizations modernized a regulated edtech platform with delivery the C-Suite could brief the board on.
Read use case →One of the largest cinema networks in the U.S. integrated AI on Connect with per-tool allow-lists and audit trails ready for live regulator review.
Read use case →SMS campaign automation platform for e-commerce and restaurant brands shipped agentic AI on the data layer with the orchestration layer running inside their AWS account.
Read use case →How many of your flows convert automatically. What the flags look like. What the TCO comparison says.
AWS Premier Tier Services Partner



Active Competencies and Service Delivery Programs relevant to this offering.