FAQ

Questions we get asked

Aktionable AI is an enterprise AI platform powered by Generative AI-based Aktion Agents. It understands business context, reasons over enterprise information, interacts with users, uses connected systems, and executes governed business workflows.

An enterprise AI platform powered by Generative AI-based Aktion Agents. It understands business context, reasons over enterprise information, interacts with users, uses connected systems, and executes governed business workflows — one common foundation rather than isolated AI point solutions.

A copilot answers. The platform acts. It combines generative intelligence with enterprise context and governed execution: reason, retrieve, decide, act. Aktion Agents plan multi-step work, call APIs and enterprise systems, and complete the process — with approvals and escalation built into the path.

Generative AI-based document processing, multilingual AI, intelligent data extraction, voice support, workflow automation, and MCP integration for standardized, secure interoperability with external tools and data sources.

No. The platform is industry-agnostic — domain-specific agents, knowledge, rules, and workflows are configured on the same foundation. It runs today across healthcare, insurance, BFSI, manufacturing, retail, legal, government, and technology.

With one high-value business problem. We identify it, connect the relevant data and systems, configure the domain knowledge and Aktion Agent behaviour, build the workflow and approval logic, then deploy with governance controls. The same foundation is reused for the next use case.

A scoped pilot is measured in weeks, not quarters, because the platform layer already exists — configuration replaces rebuilding. The honest answer depends on how ready your data and system access are, which is the first thing we assess.

Not perfectly. Intelligent data extraction is designed for the messy reality — documents, emails, forms, and images — and validates what it pulls before it reaches a business system. Genuinely broken source data is a separate conversation we'll have upfront.

Enterprise data, documents, records, and business applications through the automation layer: workflows, APIs, events, approvals, escalations, and system integrations. MCP support means external tools and data sources connect through a standardized protocol rather than bespoke glue.

Yes. The Aktion Agent handles inbound calls, chat, and web or mobile queries, routes or creates tickets in the right queue, resolves common requests without an agent, and escalates to a human with full conversation context when sentiment or complexity calls for it.

PII masking, consent management, data residency controls, retention policies, and full audit trails sit in the platform's trust layer, alongside security, responsible AI, and access management.

Approvals, escalation, and human intervention are designed into the workflow rather than bolted on. Warm transfer to a live agent carries the conversation history, so the human never starts from zero. Every action is logged and auditable.

KT2i holds ISO 9001, ISO 27001, and ISO 42001 in its own right — quality, information security, and AI management systems respectively. The platform also runs on Microsoft Azure, which carries its own independent certifications (ISO 27001, ISO 27017, ISO 27018, SOC 1, SOC 2, SOC 3, and more) across the infrastructure layer.

Pricing depends on the use case, the systems involved, and deployment scope. We scope a pilot first and quote against it — no platform licence before you've seen it work on your problem.

You do. Domain knowledge, agents, rules, and workflows configured for your environment belong to your organisation.

Still deciding whether it fits?

Describe the process you'd want to automate. We'll tell you honestly whether the platform is the right tool for it.