Generative AI
Flexible language understanding, content generation, summarization, and reasoning where they add value.
CBOT Messaging & Workflow AI Agents understand customer and employee requests, access enterprise knowledge, use business systems, and complete processes across digital channels.
Move beyond automated answers with AI agents that can collect information, execute workflows, request approvals, send updates, and collaborate with human teams. Simple for the user. Connected to the entire enterprise.
I changed my address. Can you update it on my policy?
Of course, I'll verify your details and update it on your policy now.
Address updated successfully.
FROM AUTOMATED ANSWERS TO COMPLETED WORK
Traditional chatbots answer common questions and direct users to another page, form, team, or channel when an actual process needs to be completed. CBOT Messaging & Workflow AI Agents continue beyond the answer, understanding the request, determining the required process, collecting the necessary information, using enterprise systems, and guiding the interaction to completion.
The answer is not the outcome. The completed process is.
Select an enterprise scenario and follow how the AI Agent moves from a natural-language request to a completed workflow: the conversation on the surface, the enterprise execution underneath.
CONVERSATION
“I'd like to update my phone number on file.”
“Sure, after a quick verification I'll update it for you.”
WORKFLOW BEHIND THE CONVERSATION
OUTCOME
Contact details updated and confirmed.
Representative scenario scripts approved for illustration.
The conversation stays simple on the surface while CBOT understands the request, retrieves the right information, decides the process, acts across systems, and completes the work.
Interpret natural language and identify intent, entities, context, history, the customer or employee profile, and the process that should begin or continue.
Access approved enterprise knowledge, customer records, product information, process status, policies, documents, and structured business data.
Determine which workflow applies, which method to use, which rules to evaluate, whether more information or human approval is required, and whether the process can continue automatically.
Create or update requests, collect and validate information, start or continue processes, schedule appointments, create tickets, update approved records, trigger notifications, request approval, or transfer.
Confirm the outcome, communicate the next step, and preserve context for future interactions.
The conversation is the interface. The workflow is the value.
THE CBOT APPROACH
Enterprise workflows are not all the same. Some requests need flexible language understanding and reasoning; others need strict business rules, structured validation, approvals, and predictable execution. CBOT combines the appropriate methods within one journey.
Flexible language understanding, content generation, summarization, and reasoning where they add value.
Controlled intent and entity understanding for structured enterprise scenarios.
Defined rules, validations, process stages, and transaction controls where predictability is essential.
Responses and actions grounded in approved organizational information.
Review, approval, correction, or takeover when the process requires human accountability.
Transactions completed through connected enterprise systems and APIs, so the process moves forward instead of stopping at an answer.
Use intelligence where flexibility creates value. Use control where the business requires certainty.
PROACTIVE & REACTIVE DIGITAL JOURNEYS
CBOT agents respond to inbound requests across approved digital channels, and initiate approved interactions based on enterprise events or workflow triggers.
Be available when users reach out. Be proactive when the next step should not wait.
Customers and employees may begin a process on one channel and continue it later through another. CBOT can preserve the available conversation context, process state, collected information, and outcome across approved digital touchpoints.
A new channel should not mean a new journey.
Some interactions require specialist knowledge, judgment, authorization, or human communication. When support is required, CBOT transfers the conversation with the relevant context and completed workflow steps already available.
CONTEXT PASSED TO THE HUMAN AGENT
Move the interaction to the appropriate human agent.
Pause the workflow until an authorized person reviews or approves the action.
Continue assisting the human agent with knowledge, summaries, suggested responses, and next-step information.
Human involvement should continue the journey, not restart it.
CBOT Messaging & Workflow AI Agents can connect with enterprise applications, knowledge sources, APIs, and private systems to retrieve information and perform approved actions.
INTEGRATION AREAS
INTEGRATION METHODS
Any platform or technology names indicate common environments. CBOT does not imply a commercial partnership, certified connector, or native integration unless officially verified.
The AI Agent does not replace your enterprise systems. It brings them into one intelligent journey.
CBOT lets organizations define what each AI Agent can access, retrieve, update, execute, or submit for human approval, especially important in banking, financial services, insurance, public services, and other regulated environments.
The agent can complete the action automatically.
The workflow pauses until an authorized person approves it.
The action is blocked and routed to the appropriate team.
Not uncontrolled automation. Enterprise-governed execution.
CBOT operates across banking, financial services, insurance, telecom, public services, retail, and other enterprise environments. Messaging, workflow, model, knowledge, analytics, and integration components can be designed around each organization's security, infrastructure, performance, and data requirements.
SaaS, private cloud, hybrid, or fully on-premise, according to each workload's requirements.
Conversation data, prompts, model responses, knowledge, workflow records, and analytics can remain within the approved deployment environment.
Containerized services scale according to conversation volume, workflow demand, model requirements, and operational load.
Enterprise architectures can support clustering, failover, and disaster-recovery requirements.
Role-based access, SSO, MFA, and enterprise identity integration support controlled platform operation.
Conversations, model responses, workflow steps, and system actions can be logged, traced, and reviewed for operational monitoring and audit.
Digital journeys that fit your enterprise architecture, not the other way around.
PROVEN IN PRODUCTION
Selected institutions working with CBOT across digital service and workflow automation.
Challenge
A CUSTOMER OR EMPLOYEE JOURNEY WAS FRAGMENTED ACROSS CHANNELS, FORMS, TEAMS, AND SYSTEMS.
Transformation
CBOT CONNECTED NATURAL-LANGUAGE INTERACTION WITH ENTERPRISE KNOWLEDGE, WORKFLOWS, SYSTEMS, APPROVALS, AND HUMAN TEAMS.
Outcome
THE ORGANIZATION IMPROVED COMPLETION, AVAILABILITY, SPEED, CONSISTENCY, OR OPERATIONAL EFFICIENCY.
Customer-specific performance figures are published only after verification and source approval, with use case, measurement period, and scope.
CBOT Vision provides real-time and historical visibility across digital interactions and workflow outcomes.
KALYA, QUALITY MANAGER
KALYA, CBOT's Quality Manager and Reporting Agent, can monitor selected operational indicators, prepare reports, identify recurring patterns, and recommend areas that require attention.
A Messaging & Workflow AI Agent is an AI-powered digital agent that understands natural-language requests, retrieves enterprise information, uses tools and systems, and completes approved workflows through digital conversations.
A traditional chatbot often answers questions or directs the user elsewhere. A Workflow AI Agent can collect and validate information, use APIs, create or update records, start business processes, request approvals, and guide the journey to completion.
CBOT can operate across approved web, mobile, messaging, employee, and enterprise channels. The exact channels depend on the selected solution, platform availability, integration scope, and deployment architecture.
Yes. CBOT can preserve available conversation context, collected information, process state, and human-handover context across supported channels.
Yes. Agents can use approved enterprise knowledge, documents, structured data, databases, and connected information sources according to configured permissions.
Yes. Agents can call approved APIs, create or update records, and execute configured workflow actions according to business rules, access permissions, and governance policies.
Yes. A workflow can pause and request review or approval from an authorized person before a sensitive action is executed.
The conversation can be transferred with the transcript, identified intent, collected information, completed workflow steps, reason for escalation, and an AI-generated summary.
Yes. Approved events and workflow triggers can initiate proactive messaging journeys such as reminders, updates, missing-information requests, and process follow-ups.
Yes. The platform, supported model inference, enterprise knowledge, RAG, workflow runtime, analytics, and integrations can operate within the customer's environment.
Yes. CBOT can connect with CRM, ERP, case-management, ticketing, payment, identity, knowledge, database, and private enterprise systems through approved integrations and APIs.
The timeline depends on the use case, workflow complexity, channels, integrations, data, security requirements, deployment architecture, and testing scope. The implementation plan is defined after solution and technical assessment.
FROM CONVERSATION TO COMPLETION
Transform customer and employee interactions with AI Agents that understand natural language, use enterprise systems, complete workflows, collaborate with people, and operate within your security environment.