Conversational AI

Design and build AI conversations people can trust

Build conversational AI solutions that understand user intent, connect to your systems, and help customers or employees complete real tasks.

Our clients

Users expect products to feel conversational, not transactional

64%

users are already skeptical of AI in service interactions, so conversational AI has to feel helpful, transparent, and easy to exit.

70%

customers are expected to start their service journey through a conversational AI interface.

82%

Service teams say customer demands have increased, making fast, connected, and context-aware support harder to deliver manually.

Build the strategy, logic, systems, and experience behind every AI conversation

Conversational AI

Conversational AI strategy

Identify where conversational AI can create the most business value, whether it is customer support, sales assistance, employee helpdesks, onboarding, internal knowledge access, or workflow automation.

Conversational AI

Conversation and workflow design

Map the user journeys, dialogue flows, intents, decision paths, and handoff points that shape how the AI conversation works from start to finish.

Conversational AI

AI assistant and chatbot development

Build conversational AI assistants that can answer questions, guide users, complete tasks, trigger workflows, and support users across web, mobile, chat, or internal tools.

Conversational AI

AI persona, tone, and behavior design

Define how the AI should speak, what it should say, what it should avoid, and how it should respond when users are confused, frustrated, or asking for something outside its scope.

Conversational AI

Knowledge base and system integration

Connect the AI to the right business data, documents, APIs, CRMs, ERPs, support tools, or internal systems so it can give useful answers and take meaningful actions.

Conversational AI

Error, fallback, and human handoff design

Design clear recovery paths for moments when the AI misunderstands, lacks confidence, reaches a limit, or needs to route the user to a human.

Conversational AI

Conversational UI and interaction patterns

Create reusable interface patterns such as prompts, suggestion chips, confirmations, loading states, feedback options, confidence cues, and handoff triggers.

Conversational AI

Testing, monitoring, and optimization

Test conversation quality, accuracy, user intent coverage, fallback rates, response usefulness, and adoption so the AI keeps improving after launch.

Built for AI conversations that have to work in real use

Business-first implementation

Every conversational AI experience is mapped to a clear business outcome, whether that means faster support, smoother intake, better lead qualification, higher self-service, or reduced manual workload.

Fewer failed interactions

Users should not get stuck, repeat themselves, or hit dead ends. We design the flow, fallback paths, and handoffs that help conversations reach a useful outcome.

Connected to real business systems

Conversational AI only works when it has access to the right data and tools. We connect assistants to knowledge bases, CRMs, support platforms, internal systems, APIs, and workflow tools.

Built to improve after launch

We track intent coverage, fallback rates, response quality, user feedback, and adoption so the conversational AI experience keeps improving after launch.

Building conversational AI for complex business journeys

01

01 Discover and prioritize

We start with the real business workflow, not the chatbot idea. We identify where conversational AI can reduce manual work, improve response time, guide users, or help teams complete tasks faster.

Deliverables: Workflow assessment | User intent map | Conversation opportunity areas | Use case prioritization

02 Design the conversation experience

We define how the AI should guide users, ask follow-up questions, handle missing context, recover from errors, and move each conversation toward a useful outcome.

Deliverables: Dialogue flows | Prompt-response paths | Clarification logic | Handoff rules

03 Build and integrate

We turn the approved conversation experience into a working AI assistant connected to the right knowledge base, business systems, APIs, CRM, support tools, or internal workflows.

Deliverables: Conversational AI assistant | System integrations | Knowledge base setup | AI behavior rules

04 Test, launch, and optimize

Before launch, we test conversation quality, task completion, fallback paths, trust signals, and handoffs. After launch, we monitor usage and improve the experience based on real user behavior.

Deliverables: QA checklist | Launch-ready documentation | Usage insights | Optimization roadmap

Building conversational AI for complex business journeys

step 1

Discover and prioritize

We start with the real business workflow, not the chatbot idea. We identify where conversational AI can reduce manual work, improve response time, guide users, or help teams complete tasks faster.

Deliverables: Workflow assessment | User intent map | Conversation opportunity areas | Use case prioritization

step 2

Design the conversation experience

We define how the AI should guide users, ask follow-up questions, handle missing context, recover from errors, and move each conversation toward a useful outcome.

Deliverables: Dialogue flows | Prompt-response paths | Clarification logic | Handoff rules

step 3

Build and integrate

We turn the approved conversation experience into a working AI assistant connected to the right knowledge base, business systems, APIs, CRM, support tools, or internal workflows.

Deliverables: Conversational AI assistant | System integrations | Knowledge base setup | AI behavior rules

step 4

Test, launch, and optimize

Before launch, we test conversation quality, task completion, fallback paths, trust signals, and handoffs. After launch, we monitor usage and improve the experience based on real user behavior.

Deliverables: QA checklist | Launch-ready documentation | Usage insights | Optimization roadmap

Before you build the bot, define what it should solve

Map the workflows, user intents, data sources, decision points, and success paths your conversational AI needs to support before development starts.

Success Stories in Spotlight

A futuristic play to earn racing experience that secured $5M funding in 3 months

Gaming & BlockchainGaming & BlockchainUI/UX Design & Product Launch Support

“The redesigned platform helped us confidently attract investors and stand out in a crowded market.” CEO at Nitro

45% increase in forum participation and 10% longer user engagement time

Non-profit / Social PlatformUX Design & Product Revamp

“Our new platform now drives deeper connection and support among parents worldwide. CEO at OCC

35% increase in workflow efficiency through streamlined AI-driven processes

Software & IT ServicesUX/UI design

“tkxel team took the time to put together the right user flows and walk us through them to understand the entire process of the user journey.” Iman Oubou - CEO at Vocable

Major gaps we fix in AI conversations

Outcome-led AI conversations

Build conversations around real business goals like support resolution, lead qualification, intake completion, employee self-service, or reduced manual workload. In customer service use cases, agentic AI can help reduce operational costs by up to 30%.

Higher self-service completion

Help users answer questions, submit requests, find information, or complete routine tasks without waiting for human support.

Actionable AI responses

Connect the assistant to approved knowledge sources, business rules, customer data, and internal systems so users get responses they can actually use, not generic chatbot replies.

Recoverable conversation failures

Design clarification prompts, fallback paths, confidence cues, and human handoff moments so misunderstood questions or missing context do not end the experience.

Launch-ready AI foundation

Give product, design, and engineering teams the intent maps, conversation flows, UI patterns, behavior rules, test criteria, and optimization metrics needed to build and improve the assistant after launch.

Know where your conversational AI is breaking before users give up.

Audit your AI conversation

We’ve been recognized by the best, year after year

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

titan business PLATINUM award AI & AUTOMATION

FINANCIAL TIMES

mogul people leader

FORBES COACHES COUNCIL

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

Give your conversational AI a clear path to ROI

“tkxel completely transformed the way we manage our customer relationships. Their customized CRM system streamlined our processes and improved customer satisfaction. We highly recommend their services to any business looking for real results.”

Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

“tkxel has proven beyond par that they excel not just in building and integrating with our team but building at a level that is at par with any US development team. Working with tkxel is one of the best decisions we have made.”

Umair Bashir

CTO, Replenium

“tkxel shared our vision right from the get go, and helped us achieve the unthinkable through perseverance and a thorough attention to detail. Their team was highly professional and possessed a firm grasp on technicalities, a combination that is hard to find in the industry.”

Pam Chitwood

Product Manager, ABB

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Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

Umair Bashir

CTO, Replenium

Pam Chitwood

Product Manager, ABB

Frequently asked questions

What are conversational AI solutions?

Conversational AI solutions are systems that let users interact with artificial intelligence through natural language. They can answer questions, guide users through workflows, qualify leads, support customer service, assist employees, and connect with business systems to complete tasks.

How are conversational AI solutions different from AI chatbots?

AI chatbots usually answer predefined questions or follow simple scripts. Conversational AI solutions are broader. They use artificial intelligence, machine learning, business rules, knowledge sources, and system integrations to understand user intent, manage context, and support more complex journeys.

What are B2B conversational AI solutions used for?

B2B conversational AI solutions are used for customer support, sales qualification, product guidance, employee services, onboarding, internal knowledge access, service requests, and workflow automation. The goal is to help users complete business tasks faster without adding another manual step.

Do we need conversational AI software or conversational AI services?

Conversational AI software provides the platform or tool, while conversational AI services help you plan, design, build, integrate, test, and improve the experience. Most businesses need both: the right technology and a clear implementation approach built around real workflows.

Can conversational AI connect with our existing systems?

Yes. Conversational AI technology can connect with CRMs, ERPs, support platforms, knowledge bases, internal tools, APIs, and workflow systems. This allows the AI assistant or agent to use approved data, give relevant responses, and trigger actions where needed.

How does conversational AI improve customer service?

Conversational AI can help customers find answers, submit requests, check status updates, complete routine tasks, and reach the right support path without waiting for a human agent. It can also reduce repetitive support work when the experience is designed with clear fallbacks and human handoff points.

What role do agentic AI platforms play in conversational AI?

Agentic AI platforms allow conversational AI systems to take action across tools and workflows, not just respond with information. This can include creating tickets, checking records, updating systems, summarizing cases, or routing requests. For business use, these agents need clear permissions, guardrails, monitoring, and escalation rules.

How should we evaluate conversational AI vendors?

Start with your use case, data readiness, integration needs, security requirements, and expected business outcome. Reports like the Forrester Wave and Gartner Magic Quadrant can help compare conversational AI software and platform categories, but vendor fit should also depend on implementation quality, system compatibility, AI adoption goals, and post-launch optimization support.

Design and build AI conversations people can trust

Our clients

Users expect products to feel conversational, not transactional

64%

users are already skeptical of AI in service interactions, so conversational AI has to feel helpful, transparent, and easy to exit.

70%

customers are expected to start their service journey through a conversational AI interface.

82%

Service teams say customer demands have increased, making fast, connected, and context-aware support harder to deliver manually.

Build the strategy, logic, systems, and experience behind every AI conversation

Conversational AI

Conversational AI strategy

Conversational AI

Conversation and workflow design

Conversational AI

AI assistant and chatbot development

Conversational AI

AI persona, tone, and behavior design

Conversational AI

Knowledge base and system integration

Conversational AI

Error, fallback, and human handoff design

Conversational AI

Conversational UI and interaction patterns

Conversational AI

Testing, monitoring, and optimization

Business-first implementation

Fewer failed interactions

Connected to real business systems

Built to improve after launch

Building conversational AI for complex business journeys

01

Building conversational AI for complex business journeys

Discover and prioritize

Design the conversation experience

Build and integrate

Test, launch, and optimize

Before you build the bot, define what it should solve

Success Stories in Spotlight

A futuristic play to earn racing experience that secured $5M funding in 3 months

45% increase in forum participation and 10% longer user engagement time

35% increase in workflow efficiency through streamlined AI-driven processes

Major gaps we fix in AI conversations

Outcome-led AI conversations

Higher self-service completion

Actionable AI responses

Recoverable conversation failures

Launch-ready AI foundation

Know where your conversational AI is breaking before users give up.

We’ve been recognized by the best, year after year

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

titan business PLATINUM award AI & AUTOMATION

FINANCIAL TIMES

mogul people leader

FORBES COACHES COUNCIL

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

Give your conversational AI a clear path to ROI

Nick Drogo

Robert K Burger

Umair Bashir

Pam Chitwood

Nick Drogo

Robert K Burger

Umair Bashir

Pam Chitwood

Frequently asked questions

Latest insights & resources

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