Viacheslav Kostin
CEO WislaCode Solution
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AI Chatbot Development Services
At WislaCode, we specialise in creating AI chatbots that enhance customer engagement and streamline operations. We design, build and support solutions that reflect your organisation’s goals, brand voice and governance needs. Our delivery is secure by design, measurable in outcomes and ready to scale as adoption grows. We offer custom AI chatbot development to fit your workflows and systems perfectly.
AI Chatbot Development Overview
AI chatbots mimic real conversation. They give quick answers, lead users through tasks, and pass them to human agents when needed. Done well, they shorten time to resolution, reduce support costs and improve user satisfaction across web and mobile.
Our AI chatbot development services include discovery, design, engineering, integration, testing, deployment, and ongoing optimisation. This way, your chatbot launches effectively and keeps improving with real usage data.
Technology strategy and roadmap
We align ai chatbot development services to clear business outcomes. Discovery looks at customer intents, channels, privacy limits, and success metrics. It then creates a practical roadmap with a phased approach. This helps you launch quickly and grow confidently.
Enterprise‑grade integration
Connect your chatbot to CRM/ERP, helpdesk, payments and knowledge bases through stable APIs and vetted connectors. Identity/SSO, audit trails and role‑based access ensure secure operations – ideal for enterprise chatbot integration services.
Adjust NLU/NLP models for your field
We use intent detection, entity recognition, and sentiment analysis to understand queries accurately. Continuous evaluation and A/B testing improve precision without making conversations feel robotic.
Conversation design and build
We design guided flows, tone of voice and hand‑offs to agents, then deliver chatbot application development services across web, mobile and messaging. You can easily access the interfaces, they match our brand, and we have tested them with real users. This helps reduce the time it takes to resolve issues.
Multilingual and localisation
Serve users in multiple languages with locale-aware content, entity extraction, and date/currency handling. We use fallbacks, manage glossaries, and create right-to-left layouts when needed. This helps ensure a consistent experience around the world.
Machine-learning optimisation monitors
Models for drift, cost, and bias, from ranking answers to recommending the next best actions. Analytics guide training data improvements, so your custom AI chatbot gets smarter over time.
AI Chatbot Development Services
Our consultants work closely with your team to align capability with business value. We:
- evaluate the feasibility and define the value proposition.
- capture functional requirements and CX standards
- select an appropriate tech stack (NLP/NLU, orchestration, channels).
- shape a delivery roadmap with clear success metrics
- advise on data security, privacy, and retention best practice
We deliver a fully custom build that fits your brand and service model. This includes requirements analysis, stack selection and a pragmatic timeline. We design intuitive interfaces, implement NLP, dialogue management and back‑end integrations, and establish CI/CD. Rigorous testing at each stage assures performance, reliability, accessibility and security.
Your chatbot should work where your users are and with the systems you rely on. We:
- analyse integration points and constraints
- select robust connectors and integration methods
- validate integrations with end-to-end testing pre‑launch
- monitor and optimise data flows for resilience and speed
We provide ongoing care so the chatbot remains effective as content, policies, and demand change. Services include:
- monitoring performance and user interactions
- troubleshooting and incident response
- regular updates for functionality, quality, and security
- training and enablement to maximise adoption and ROI
How we deliver AI chatbots?
We analyse your business needs and develop a strategic plan so our AI chatbot development services align with your objectives and customer expectations.
Analysis
Planning
Our commitment to quality includes extensive testing for functionality, usability, performance, and security, ensuring your AI chatbot is reliable, effective, and safe for users.
Quality
Protection
We build our scalable AI chatbot solutions on robust architectures, allowing for future enhancements and integrations as your business grows.
Scalable
We guarantee a successful launch of your AI chatbot, ready to scale and adapt to your evolving business needs.
Launch
Case: One partner for end‑to‑end AI chatbot delivery
A client needed a single provider to plan, design, build and operate a production‑ready assistant.
We delivered consulting, conversation design, engineering and secure integrations – plus monitoring and continuous optimisation.
The result was a branded chatbot that answers with confidence, routes complex queries to agents and learns from real interactions. One partner, one roadmap and a smooth path from prototype to scale.
Why WislaCode?
We agree on measurable goals – containment rate, CSAT, and time to resolution. Then instrument the chatbot so progress is visible every sprint. Decisions are backed by data, not guesswork.
Outcomes that matter
Encryption in transit and at rest, least-privilege access, SSO, and tamper-evident logs come as standard. We align with your data residency, retention, and privacy policies for compliant delivery.
Secure by default
We connect to the systems you rely on – CRM, ERP, ticketing, payments, and knowledge bases. Using stable contracts and robust error handling. This avoids brittle links and preserves data integrity.
Integration fluency
Modular architecture, clear ownership, and documentation mean you can extend the assistant without a rewrite. We can continue as a partner or hand over cleanly to your team.
Built to evolve
Some Customer Reviews
WislaCode specialists and AI developers are dedicated to each project. They work hard to deliver results quickly.
Julia Dvornikova, Taal Healthtech
5
We collaborated with WislaCode on a route-to-market optimisation project.
Working with WislaCode was effective, transparent and predictable, which is especially critical for AI and ML projects.
Read the full review
FAQ about AI chatbot development services
We deliver customer support, sales assistance, and internal knowledge assistants across web, mobile apps, and messaging channels. Solutions can include guided journeys, transactional flows, and live-agent hand-off. For omnichannel AI customer support chatbot development, we unify intents and analytics so experiences remain consistent across touchpoints while respecting each channel’s capabilities and policies.
Pricing depends on several factors: the scope, NLP complexity, number of channels, integration depth, and compliance needs. We offer fixed-price engagements for a well-defined MVP, time-and-materials for evolving scopes, or a dedicated team model if you prefer to hire AI chatbot developers alongside your staff. We provide transparent estimates, with milestones tied to measurable outcomes.
We build a domain lexicon and style guide, then tune prompts and NLU models against representative data. Scripts, templates, and guidelines keep the tone steady. A human review then fixes any tricky situations. We A/B test copy and flows, measuring containment, first-contact resolution and user sentiment to refine the assistant without drifting off brand.
Yes. We implement secure connectors to CRM/ERP, ticketing, knowledge bases and payment providers. Identity integration (SSO) maps roles and permissions, audit logging tracks actions, and idempotent APIs protect against duplicates. Pre-production tests and canary releases check behaviour before a larger rollout. This helps enterprise chatbot integration services operate with less risk.
We support multilingual NLU, locale‑specific content, entity formats and right‑to‑left layouts where needed. Glossary and translation workflows keep terminology consistent. If a language is unsupported for NLU, we implement fallbacks and route unclear queries to human agents, ensuring users still receive timely, accurate assistance.
Typical timelines range from 6 to 10 weeks for a focused MVP, covering discovery, conversation design, one or two channels, core integrations, and analytics. Complex compliance, payments, or multiple languages can extend delivery, but we ship incrementally so you capture feedback early and de-risk later phases.
We track KPIs such as containment rate, CSAT, average handle time, first-contact resolution, and deflection from human support. Observability covers latency, failure modes, and model confidence. Regular reviews prioritise zero-answer topics, content gaps, and misrouted intents. This closes the loop so your chatbot application development services deliver steady gains.
Absolutely. You can hire AI chatbot developers or an interdisciplinary squad (design, NLU, engineering, QA) to work within your tooling and pipelines. We keep shared backlogs and coding standards. We also provide clear documentation and knowledge transfer. This helps your team operate and expand the assistant confidently after launch.
Viacheslav Kostin, CEO
20+ years of experience in managerial positions in IT and banking.
Viacheslav Kostin, CEO
Previous roles: CEO in IT, Director of Strategy and Marketing in Banking, Curator of Holding Banks, Head of Products and Project Office.
Education: MBA for Executives at IMD (Switzerland), Leading Digital Business Transformation (IMD). Provides consulting in strategy and digital transformation.
Vasil Pahomov, CTO
20+ years of experience as a developer, analyst, and solutions architect.
Vasil Pahomov, CTO
Designs resilient, high-load systems with multiple integrations for banks and financial institutions. Expertise in distributed storage and microservices architecture.